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                    <text>2nd International Symposium on Sustainable Development, June 8-9 2010, Sarajevo

Role and Importance of CRM
in Global Competitive Environment
M. Nurettin ALABAY
Turgut Özal University
Economics and Business Administrative Science Faculty
Business Department, Ankara, Turkey
nalabay@gmail.com
Abstract: Information and communication technologies (ICT) which has flourished due to
spread of microchip technologies during 1970s, created internet which interconnects entire
world and eliminates the classical understanding during 1990s. The fact that electronic trade
and several other transactions could be performed through internet which developed as a
result of widespread use of internet, created a global economy. The knowledge in the global
economy, left behind the production factors which are known as labor, capital, natural
resources and entrepreneurship, has become a standalone production factor. The developed
information technologies caused human-oriented approaches to flourish and production
processes to restructure. With the emergence of customer-oriented approaches, the production
process has become "discovering what the customer wants and produce that thus makes
profit by satisfying the customer in this fashion". Marketing function within the enterprise
became a leading factor even more than the production process and marketing position has
become the function of all employees of the enterprise. The enterprises which fail to satisfy
their customers, have become weaker economically and cannot survive. As a result, while
developed information and communication technologies enabled globalization, the customer
has become the most important element in the global economy and those enterprises which
can sell whatever they produce, have been replaced by those enterprises who produce and sell
whatever the customer wants and competition has been increased leading to global
competition which influence entire world. The enterprises which have been deprived of
competitive power through the classical marketing mix (product, price, distribution,
promotion) now have a tendency towards customer relationship management (CRM). CRM is
now used as a new name of the marketing.

Introduction
Rapid advancement and development in knowledge and communication technologies (ICT) are the most
distinctive characteristics of the significant development, which has been fulfilled during the last decade of the 20th
century, in the civilization history. This rapid advancement and development, being experienced, have changed the
construction methods of commerce and businesses, affected the economical and social life profoundly and caused
some concepts and templates to be questioned. The developments in ICT are also one of the most significant factors,
lying behind the spread of the phenomenon of globalization.
Today, not the fullest extent of the effects that would be created by the innovations in the knowledge and
communication technologies and by the usage of these technologies, has been revealed. As Drucker (1995) states, the
age we live in is an age of transition in every field. Knowledge and communication technologies shall be able to
provide incredibly significant economic and social benefits. New technologies help increase the effectiveness of the
economy, create new business opportunities, spread the technical advancements and ideas more easily, establish the
simultaneous communication between the people and institutions in different countries and regions. Together with
globalization, technological developments have found a usage area in every area and some definite effects occured
in every sector. Definite effects and advantages of information technologies are available in all sectors, which use
customer satisfaction as base (Drucker, 1995).
By this way, the role which is imposed on the mass medium is being included in new development-reconstruction
theories as the innovations, which constitute the source of the basic element and growth that determine the change of
technology, by being given to the technology (BaĢaran, 2005).

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In the light of these developments, the statement of information society, which is entitled by population
scientists like A. Toffler, is based on the effects to be made by ICT on the whole social structure, as well.
Developments in technology have contributed to the development of globalization. The apprehension of
quality products and increasing customer satisfaction, which emerged as a result of the development of
technology by the businesses of the whole world, thrusted the inter-enterprise competition to the forefront. The
accomodation of the businesses to the new global conditions is called global competition (Elibol, 2005:155).
Since the whole world has become a market for the customer together with the increase of both technology
and globalization, the expectations of the customers increased and concordantly, customer-based concept became
dominant in marketing. At the end of this process, on the other hand, marketing emerged as a new conception under
the name of the customer relations management. This new conception is the new name of marketing now.

Factors that Play a Role in Change
Beginning with the development of technology and continuing with globalization, the factors of the change
could be organized as follows:
 Developing Knowledge and Communication Technologies
 Developing Global Economy
 Increasing Global Competition
 Developing Conception of Marketing
 Developing Human-Based Processes
 Developing Customer-Based Approaches and New Conception of Marketing: Customer Relations
Management (CRM)
Developing Knowledge and Communication Technologies
The development of human capital (intellectual capital), which is described as qualified (intellectual) labor
force, together with the increase of the knowledge in terms of economy, established the ground for the rise of new
concepts and values like “knowledge economy”, “new economy”, “digital economy”. Rapid and extensive
development in information technologies affected the economic and social life profoundly. Gathering the potential
producers, suppliers, users and consumers together on the web carried the economic communication and activities
into the electronical environment.
Knowledge economy and B2B, which emerged as a new e-business method in this economy, also known as
from company to company e-commerce model, are among the most significant factors.. In this context, they enabled
the integration into the global economy and the rise of the obligations to make changes in the strategies, directed at
having a share from the extending global commerce size, from the aspect of the affects, that would be actualised by
BIT on the whole global economy due to its general features that affect the structures outside of their own areas and
also from the aspect of the developing and underdeveloped countries together with the new operation style of the
global economy (Kıyan, 2008).
Knowledge shall become much more important in the future. Some evaluations related to the future
economy are already being made. Rottberg and Erickson (2005) state that in transition from the current economy to
the future economy; intelligence, which is acquired through processing the knowledge, shall come into prominence
instead of knowledge. Because knowledge is a value. Intelligence, on the other hand, has power.
Through benefitting from the opportunities of knowledge and communication technology, preventing the
elimination of the information which often repeat in conventional documents and preventing the bureaucracy /
officialism, simplifying the distribution of goods, it is seen that competition and employment move towards new
goods with high value added tax and continuous service types and the employment, which increases by this way,
enables economic prosperity and growth.
Compiling, analysing the knowledge at the right time and through right methods and using the human and
capital sources by leaning on these knowledge without wasting, providing the chance of ―enlightenment on the
instant‖ for the individual / organization with an increasing quality and effectiveness on the face of new
developments, increase the efficiency in sourcing.
Rapid developments in information technologies have caused our age to be described as the information
age. Rapid technological advancements cause significant changes in the micro and macro economic basis. The basic
characteristics of this knowledge and communication-based new economy could be organized as follows (Tan and
Uijttenbroek, 1997):

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1) Continuously accelerating technological developments,
2) Intense activities of increasing information and knowledge,
3) Entering into the shortening market and shortening of the periods of product/service life cycle,
4) Globalization of the markets,
5) Dimming of the differences between the industry branches.
In the publication, prepared by the New Zealand government, which is called Knowledge Economy, the
most impressive characteristic of the knowledge technologies (knowledge and communication technologies) is that
their technological abilities continuously increase, whereas their expenditures continuously decrease. Three rules,
expressing this relation, have been set forth.
1) Moore Rule: The speed of a microchip doubles in every 18 months without a price increase.
2) Gilder Rule: The total tape extensity of communication systems rises threefold in every 12 months
without the change of the unit price.
3) Metcalfe Rule: The value of a communication network is proportional with the number of nodes in the
network. Therefore, while the value of being connected to a network increases exponentially, the price
per user remains constant; it even decreases.
In a study, which takes place in one of the most prominent B2B sites of the world, alibaba.com, the
advantages to be acquired by enterprises through B2B model could be organized as follows:
An increase in the sale and profit proportions,
 Competition superiority in the internal market,
 Taking share from the global markets,
 Increase in the market diversity,
 Decrease in per-piece costs,
 Removal of time limit in terms of requirements,
 Opportunity in terms of company growth,
 Chance of acquiring new knowledge and experience.
In this structure, which developed in a more different way than conventional commerce, some remarkable
declines are observed in the expenditures of some goods and services; while new jobs are constituted, some of them
loses their significance; customer satisfaction is brought to the forefront and transparency of the market, on the other
hand, strenghtens the constitution of the open market for now. In parallel with these developments, globalization of
the competition forces the enterprises to make more investments in knowledge, intellectual staff and knowledge
technologies. Because, the most important conditions of competing are constituted in the basis of the knowledge.
Spread of electronic commerce affects areas like international commerce, employment, education, culture and social
life; rapid innovations, which are almost impossible to estimate, emerge.
Development and fall of information technologies provide the enterprises the opportunity to be able to do
business on global level. Today, where the computer technologies and internet usage increase, electronic commerce
can address to the global market more easily, therefore, market potential could be greater compared to conventional
commerce.
The basic parameter of the condition that knowledge and knowledge technology terms the era we live in, is
the fact that knowledge is the source of prosperity. The investments, which are made in knowledge and knowledge
technologies provide positive effects for the growth of the countries in the long term.
Spread and fall of the internet bring a significant time and expenditure possession in providing the valuable
information, which are difficult to acquire. The fact that internet is more rapid and cheap compared to other mass
medium, increases the opportunities for the enterprises of developing countries to acquire competitive environments
more easily.
The increase of the strength and efficiency in the resource distribution by electronic commerce could also be
provided through the decline of production costs. It is observed that electronic commerce has a cost- diminishing
effect in the commercial relationships of the enterprises with customers and other enterprises.
Developments in knowledge and communication technologies increase the significance of services sector in
the economic structure and they reveal structural changes in labour-markets. As a result of this change, some
developments in favor of knowledge and communication technologies and services sector occur, while reductions in
other employment areas may arise.
On the other hand, the development of electronic commerce causes the increase of the need for qualified
labour force with a higher education in the field of knowledge and communication technologies. The enterprises,
which perform operations such as introduction, distribution and inventory tracking in the electronic environment, can
easily meet the consumer requirements thanks to the flexibility of the virtual environment.

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Developing Global Economy
The correlative connection between knowledge and communication technologies is frequently
emphasized. Knowledge and communication technologies have enabled globalization by increasing the
communication speed and decreasing the expenditure, providing a much more rapid and cheap integration,
facilitating the distribution through territorialising many products and activities with the help of integrated
networks. Through establishing direct and rapid communication connections, knowledge and
communication technologies decreased the economic distances, acquired possession from the time which
is required for the coordination of the activities of the business world, declined the conversion
expenditures and made the financial markets active for 24 hours in the size of countries and continents. In
brief, knowledge and communication technologies is a strong factor that functions in favor of the
integration of the world economy.
The increase of the technological developments made the whole world a single market. Today, the
globalization, which establishes strong and correlative connections between individual economies and
societies and consequently, which makes psychological and economical distances and differences between
the societies meaningless, is a concept, which describes the new tendencies, that emerged during the last
quarter of the twentieth century within the world economy. In a much more special context, it is a concept,
required for international dependence and international cooperation.
Knowledge and communication technologies depict its effect on the growth through different channels
because of its multi-dimensional nature:
1.
Total production increases through producing new products and services (such as
computer equipment, digital equipment, magnetic card machines and applications, fax
machines, mobile phones, satellite broadcastings and new financial services). New
business opportunities occur rapidly in these sectors.
2.
Efficiency increases through new methods, that find field of application in the
production processes such as electronic commerce and computer-aided robots. Within
this context, knowledge and communication technologies could be accepted as a
significant production factor, which contributes to the growth of the total production
factors together with unqualified labour force, physical capital, human capital and land.
3.
Economic efficiency increases through internet sales, digital advertisement, crossborder production, new marketing, organization and management techniques.
The number of the new products and services, which is executed in connection with knowledge
and communication technologies, geometrically increased in the last decade.

Increasing Global Competition
Together with the increase of the market size, the elements of competition change and enterprises have to
recheck their competition strategies. Sometimes, a cooperation with opponent companies may be compulsory and
sometimes the companies, which carry on their activities in different sectors could become opponents in the virtual
environment. The fact that entering into electronic commerce market has a low cost, strengthens the possibility of
coming across with new opponents at any moment.
As the competition increases, marketing CEOs continue to reveal new human requirements through
developing more aggressive methods. There is no way of competing with product, price, distribution and promotion
tools, known as marketing composite, any more. Therefore, the rate of meeting the human requirements by new
pursuits and products in a better way, the quality of products, customer-based approaches shall gradually increase.
Competition has increased the numbers of market segments, as well, and nich marketing, which addresses to very
attentive features, is developing since classical market segment methods could no longer respond.
Increasing competition changed the marketing process, as well as the organizational structure. Beginning
with the determination of the customer necessities, marketing changed as producing the most convenient product for
the customer requirements and presenting them to the customer and by this way, acquiring profit. On the other hand,
together with embedded marketing understanding, marketing became the task of everyone in the enterprise. Kotler
stated as, ―marketing is a too large subject to be left only to the marketing department‖ (Kotler, 2000).

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Since enterprises go into a cutthroat competition in the whole world market in order to find demand for the
increasing amount of production and supply of product variety, global competition emerged. Today, where
expanding into international markets have become easy, and even the direct investments have come to the levels of
convenience in the home country, the global competition has increased. While country borders are not considered as
a problem in production and marketing, it is seen that in which country the product is produced is no longer
considered to be significant. Because on condition that what the future scientists have already stated comes out right,
China, where 25% of today‘s production is made, shall become a country on which 50% of the economy of the world
countries would be dependent, in 2025.
Concerning this subject, the following information are included in Global Trends 2025:A Transformed
World (2008):
Economy giants of Asia – China and India – are going back to their positions prior to two centuries, when
they produced respectively 30% and 15% of the world prosperity. For the first time since the 18th century, China and
India have been determined as the countries, providing the greatest contribution to the economic growth worldwide.
It is possible that these two countries overpass the GSMH of other economies, except of USA and Japan, until 2025,
however they shall keep dropping behind for years, from the aspect of the income per capita.

Changing Marketing concept
As a result of the development of technology and global developments, enterprises had to change their
organizational structures and marketing became the most important function through getting ahead of production. By
this way, production systems started to begin with marketing, rather than production.
Some changes occurred in the marketing concept through the development of the consumer market, which changes
with the increase on the educational levels of the consumers, technology and globalization. This new marketing
concept has more different characteristics than that of ―Conventional Marketing‖.
Changes in the marketing developed depending upon the development of technology, globalization and the
increase of the educational level of the consumer. Depending on this change, the description, composite and role of
marketing and the organizational structure of the enterprise changed, as well. In the period of change, relation
marketing developed, the customer was placed in the centre of the enterprise, the concepts of value-producing and
value-transmitting developed and market-directedness became the basis (Varinli, 2006).
The changes could be organized as follows:
 Supply became much greater than demand,
 Very significant developments occured in marketing, particularly during the period after 1990s,
 Determining the customer requirements and necessities in the target market, providing satisfaction
started through manufacturing in a convenient way for it and presenting it to them,
 Every unit of the enterprise started to function coordinately (embedded marketing), marketing became
the task of all employees of the enterprise,
 Profitability, directed at the consumer in the long term, became the target,
 Since the competition was too intense, the search for innovation increased each day,
 Value-based marketing concept developed,
 Market-oriented management and the marketing concept started to dominate.
According to this change, some significant changes in the marketing composite occured, as well, and the
marketing composite, which is known as 4Ps, started to be described as Customer, Cost, Convenience,
Communication –known as 4Cs- instead of Product, Price, Place and Promotion (Kotler, 1998:92).
Marketing concept changed after the conventional marketing and many new marketing techniques were
developed. Modern marketing, social marketing, green marketing, guerilla marketing, post-modern marketing, oneto-one marketing, customer-oriented marketing, value-based marketing, etc. could be given as examples to them.

Developing Human-Oriented Processes
Human-oriented approaches, that place humans at the centre and dignify them, affect all the enterprises
increasingly day by day. Human-oriented approaches have become even stronger together with the development of
globalization and technology, increase of the educational levels of the people, fall of transportation and
communication and the spread of the total quality management processes.
Today, the performances of the people are constantly becoming easy through the sense of ―everything is
for humans‖ in the human-oriented approaches.

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Human-oriented approaches provide a brand new ground, that would gain the advantage of a sustainable
competition in the enterprises. Human-oriented approaches replace the product or process technologies, marketing or
advertisement strategies, which have the authorities of conventional competition, and the advantages, dependent on
the capital power. Comparing with the conventional factors that constitute a competition advantage, it is much harder
to be able to imitate or copy the human-oriented competition elements. For instance, every enterprise imitates the
products or business secrets of a famous enterprise. However, it is very difficult to imitate the culture of an
organization, which is based on human-oriented approaches (Schneider and Benjamin; 1993; p. 42).
While human-oriented approaches in the enterprises primarily aim to constitute an organization culture with
employees, who are considered as internal customers, a customer-oriented approach is adopted for the external
customers. Customer-oriented approaches constituted an alliance of systems, such as customer-oriented marketing,
relation marketing and Customer Relations Management, which gradually develops.

Developing Customer-Oriented Approaches and the New Sense of Marketing: Customer
Relations Management (CRM)
Knowing the requirements and necessities and even the expectations of the customers is very significant in
terms of the path to be followed during the acquirement of the customer satisfaction. Today, the enterprises support
the standards, such as ISO 9000:2000, ISO 9000:2001 and ISO 10002, aimed at developing the quality, in order to
provide customer satisfaction. In this case, good practice of enterprises by concentrating on the issue of customerorientation becomes compulsory (Kağnıcıoğlu, 2002).
The concept of customer relations management is a result of today‘s sense of marketing. The competition
power of enterprises has always required being different. Since differentiations, acquired through technological
innovations are not long standing today, it shall not be possible to go to the customers of the enterprises with a
unique sale proposal in the long term. Therefore, customer relations are depicted as one of the most important ways
of differentiation. The continuing relations, devotions and gradually increasing purchase behaviors of the customers
are the values to protect the enterprises under strong competition conditions (Demir and Kırdar, 2006).
Customer Relations Management could be accepted as an application of one-to-one and relational
marketing, which takes the knowledge about what customers state about their expectations from the product and
knowledge, collected by the enterprises concerning their customers as base and which responds to the customer
personally (Ryals and Pane, 2001: 4).
Although the main reason that requires the materialization of Customer Relations Management applications
is competition, it also is a need of the respect and importance, given to the human, together with the increase it
provides in the service quality of the customer relations management (TaĢpınar, 2005: 19).
Customer is the most important information source in the Customer Relations Management. It is
compulsory for the business process, which includes producing and presenting product or service, to concentrate on
the values, perceived by the customer in today‘s competition environment (Goldman, et al., 1996).
Customer Relations Management (CRM) is the life prescription of enterprises today, where competition
with the elements of marketing composite have become difficult, global competition has increased, technology and
internet have spread, human values have come into prominence and expectations have increased.

Conclusion
Due to mass production, which started with industrial revolution, and the fact that sale became harder than
production and the increase of global competition during the 21st century, marketing started to be forced. While
things to be produced can not be found since everything is already produced now, marketing has started to be forced
although the movements are made in accordance with considering every way as lawful. Why did this happen this
way? What has changed since the 19th century until today?
 ICT, knowledge and communication technologies developed, became cheaper and spread,
 Internet technologies developed, became cheaper and spread,
 Web systems developed and became cheaper, systems like B2B spread,
 Other end of the world became accessible through e-commerce,
 Global enterprises, functioning for 24 hours, were established,
 Total knowledge in the world increased, and access to the knowledge (communication) became
easy,
 Knowledge became strategic,

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The importance of knowledge and knowledge-concentrated sectors increased,
Global economy developed,
The number of products became greater than before, supply was much greater than demand,
Competition increased excessively,
Fields of competition decreased,
Competition case of the enterprises was removed together with marketing composite,
Search for competition continues in new fields,
Market segments increased, very attentive Market segments were constituted,
Human-oriented processes started to come into prominence, everything started to be made for
humans,
Transportation and communication increased and became cheaper,
Automatic Recognition and Data Collection (ARDC) systems developed and spread,
Customers became traceable at any moment,
Data mining developed, spread and became cheaper,
Marketing systems developed,
New marketing techniques were developed,
Organizational structures of the enterprises changed,
Marketing became the most significant function in enterprise, through getting ahead of even the
production,
Production systems started to begin with marketing, rather than production,
Customer-oriented production and marketing approaches developed,
Customer Relations Management (CRM) was developed,
Marketing became=CRM

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                    <text>2nd International Symposium on Sustainable Development, June 8-9 2010, Sarajevo

Universities That Bring About Change In A Changing World: A
Model Suggestion

M. Nurettin ALABAY
Turgut Özal University
Economics and Business Administrative Science Faculty
Business Department
Ankara, Turkey
nalabay@gmail.com
Yavuz KAHRAMAN
Fatih University
Ankara Vocational School
Business Management Department
Ankara, Turkey
kahramanyavuz@yahoo.com

Abstract:A closer examination of history reveals that humanity has been undergoing a
constant development, particularly after the discovery of writing, numerals and zero. Alvin
Toffler in his book ―The Third Wave‖, describes three great revolutions that occurred since
the creation of the world: the agricultural revolution, the industrial revolution, and the
information revolution. Education/training, particularly higher education, has come to be
regarded as the most important factor that changes, improves, and shapes the society. It is also
known that with this fact in mind, governments may tend to establish universities in the
regions which they want to change and improve. Why would students and parents still choose
the universities that are far away from their hometowns or located in other regions? It may be
suggested that qualities of universities play an important role in their decisions. But are people
motivated solely based on the qualities of universities? Are there other factors involved? Also,
can the high preferableness of a university be considered as the only criterion for its success?
Which factors are more effective in students‘ university preferences?Do such factors as
qualification of university lecturers, the number of students per lecturer, the employment
opportunities after graduation, and prestige play a role in students‘ choosing a particular
university? If yes, to what extent? What should be the measurement metrics for a university?
Are ―quality of education,‖ ―internationalization,‖ ―research,‖ and ―prestige‖ sufficient
metrics in this regard? Why does a specific country attract more international students than
others? Why do other countries send students to that specific country? What are the numbers
of universities of countries? What are the capacities of these universities and are these
capacities adequate?In order to measure the performances of university lecturers, is it
adequate to assign some scores to their academic works, particularly asking lecturers to
publish works in a foreign language as well as encouraging them having works published in a
way to get more citations. This study evaluates the strategic positions of the universities
around the world and discusses their projections. It examines such issues as the qualities of a
good university, criteria of performance measurement, qualities required for attracting
international students.

Introduction
The important turning points such as industrial revolution and information society in the process which has come
so far has turned universities into means of global change. While universities derives strength from the society
which they are in and at the same time they are main factors which affect the capacity of change in the society
However all universities are not the same. The efficiency degrees of universities are different from each other.
Which sub values are these differences based on?
In this context, main reasons of why students prefers universities located in other regions, the degree of
importance of these,
The qualities of academicians
The number of students per academician

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�2nd International Symposium on Sustainable Development, June 8-9 2010, Sarajevo

The possibilities or opportunities of finding a job after graduation, prestige of the university
When efficient factors and measurement criterion for the preferableness of universities are considered, education
quality, internationalisation, the number of universities, which internationally cooperated with, the number of
research publications, prestige of university could be seen.
Why does a country attract more international university student than others?
Why do countries send students to universities in other countries?
Two factors play main role in international student mobilisation. These are 1) the impulsive factors in students‘
country (difficulties) 2) the attractive factors of the specific country (facilities). What are the numbers of
universities of those countries? What are the capacities of these universities and are these capacities adequate?
In order to measure the performances of university lecturers, is it adequate to assign some scores to their
academic works, particularly asking lecturers to publish works in a foreign language as well as encouraging them
having works published in a way to get more citations?
The main difference established by this model is that we use the term education to denote some
different qualities, including occupational capabilities, moral modeling and behavioral modeling (AJZEN, I.
1988; TAJFEL, H. and Turner, J. C. 1986).
When we approach universities as a system, it is seen that the system is a higher education system with
its inputs, process and outputs. This study is based on results, which have come by looking at only outputs in
order to evaluate an university university (ARWU, 2009; PENN State University, 2006; Webometrics Ranking
of World Universities; THES - QS World University Rankings). As it is seen on figure 1, total quality of outputs
for a system is related with the qualities of inputs and process (ENQA, 2005). According to this, when the output
is measured, the quality of input and process will be understood. Many factors are developed in order to
measure the efficiency and outputs of university (KETTUNEN, Juha and Mauri Kantola, 2007).
Efficiency measurement in university is related to how much the level of inputs‘ quality increase. Therefore, as a
methodology, the comparison between the levels of students when they were and the levels of final year and
after graduation is adopted.

External Environment

INPUT

PROCESS

OUTPUT

Internal Environment
Feedback
Figure 1: System and Components

Teaching and Education in Universities
To measure the level of education in universities, the parameters in Table 1 could be used.

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�2nd International Symposium on Sustainable Development, June 8-9 2010, Sarajevo

A
A
A
A
B
B
B
B
C
C
C
D
D
D
D
D
D
D
D
D
D
D
D
D
D
D
D
D

Indicator-1: Education-Training
1. Total number of registered students
2. The average of scoring during the registration
3. The number of beneficiary students and their percentage
4. The percentage of international students
5. The Number of students‘ projects
6. The number of students who are awarded
7. Percentage of graduation on time
8. Percentage of students academic success
9. The percentage of placement of graduates
10. Average of Graduation Degree
11. The Level of wages that graduates earn
12. The percentage of student/academician
13. The length and duration of student-lecturers‘ meeting outside lectures
14. The percentage of student/academic adviser numbers
15. The percentage of student/computers
16. The duration of Internet access per lecturer
17. Duration of internet access per student
18. Percentage of international academician
19. Number of books in the library
a. The number of books per lecturer
b. The number of books per student
20. The number of electronic library membership
21. Indoor space (square meter)
22. Outdoor space (square meter)
23. Students‘ Income
a. The rate of incomes from national students to budget
b. The rate of incomes from international students to budget
24. The number of foreign languages in which education is carried on
Table 2: Indicator-1: Education-Training
The indicators, which show the potential of newly registered student, are shown in first chapter.
In second chapter, the indicators of advantages students gain at the university are taken place.
In third chapter contains the criteria for the measurements of success of the students during and after the
graduation time
In the four chapter includes factors which will discover the success of university‘s first, second and
third sections.

Research and Publication in Universities
The criteria in selection and promotion of academic personnel that is the most important human
resource for a university is shown Table 2.

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�2nd International Symposium on Sustainable Development, June 8-9 2010, Sarajevo

Indicator-2: Research-Publication
1. Number of Articles in National Refereed Journals
2. Number of Articles in Internationally Cited Journals
3. Number of National Paper
a. Number of national papers per academic personnel
4. Number of International Papers
a. Number of international papers per academic personnel
5. Number of Books
a. Books with Editing
b. Chapters in Book
c. Books in Foreign Languages
d. Books per lecturers
6. Number of Projects
a. Number of National Projects
b. Number of International Projects
c. Number of Local Projects
d. Projects per academic personnel
7. Total Number of Citations
a. Number of Citation per academic personnel
8. Number of Copy Rights, Licences, Patent and Innovations
a. Number of patents per academic person
9. Annual Income from Research and Publications
a. The percentage of Annual Income from Research and Publications in the
budget
Table 3: Indicator-2: Research-Publciation
In this chapter, the factors, which show scientific image of university, the successes in the post
graduation level and the acceptance of higher-level students, are pointed out.
The activities in this section could be classified as national, international activities and scientific
publications and projects. These activities could be sum up as the studies, which academic personnel carry out in
order to improve themselves and contribute the world of science (ELTON, Lewis ,2008). Consequently, these
efforts contribute to universities. As a result, the scientific level and image of a university becomes apparent.
This situation provides the applications of high-level undergraduate and postgraduate students and offers
opportunities for students with potential to join the scientific studies and projects.

Universities’ Services to Society
The factors in this chapter are the ones that cause the integration of university with the society and
embracement of university by the society. Components that provide universities sufficient possibilities to
develop strong relations with partners and joint owners are examined in this chapter. In the widest meaning,
whole humanity is universities‘ natural partners. Therefore, solution suggestions of academicians for every kind
of problems, which are in regional, national or international level, are expected. It is possible to separate
indicators, which are shown at Table 3, into three main sections for the purpose of service to society. These can
be classified as A) to find solutions to problems, B) In cooperation with partners, improvement and development,
C) the components of income. While generating solutions to problems is being fulfilled after problems emerged
in the form of intervention, collaboration with partners with an empathetic approach means works with future
projection before the problems arise. Final chapter also analyses the donations and services of university in
return of income.

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�2nd International Symposium on Sustainable Development, June 8-9 2010, Sarajevo

A
A
A
B
B
B
B
B
B
B
B
C
C
C
C

Indicator-3: Service to Society
1. Number of Suggestions for Solutions of the Local and Regional Problems
2. Number of Suggestions for Solutions of National Problems
3. Number of Suggestions for Solutions of International Problems
4. Number of Projects for the Cooperation of University and Society
a. Number of people who are served in the university hospitals
b. Number of People who are benefited from the services towards disadvantages groups.
5. Number of Projects about cooperation of University and Industry
6. Numbers of Project for the Cooperation of university and NGO‘s
7. Number of Projects for the cooperation of University and State
8. Number of Hours for the Education open to Public
9. Number of Participants for the Education open to Public
10.Proportion of Incomes from the Social Service Projects in the University‘s Budget
a. Proportion of Incomes from the State in the Budget
b. Proportion of Incomes from the donations in the Budget
c. Proportion of other incomes in the budget
Table 4: Indicator-3: Service to Society

The Moral (Ethical) Values in the Universities
Indicators that are obtained by analysing moral and ethical values in universities in terms of students
and staff are taken place in Table 4. The basic reason for measuring these values in terms of personnel is related
to the necessity of setting example for students 37.

A
A
A
A
A
A
A
B
B
B
B
B
B
B

Indicator-4: Moral Values
1. Staff number and ration of alcohol dependents
2. Staff number and ration of drug addicts
3. Intended disciplinary staff ratio
4. Staff number and ratio who committed an offence or crime
5. Staff number and ratio of smokers
6. Number and ration of personnel involved in an ideological event
7. Number and ration of personnel carrying cutting tools, and lethal weapons
8. Student number and ration of alcohol dependents
9. Student number and ration of drug addicts
10. Intended disciplinary student ratio
11. Student number and ratio who committed an offence or crime
12. Student number and ratio of smokers
13. Number and ration of students involved in an ideological event
14. Number and ration of students carrying cutting tools, and lethal weapons
Table 5: Indicator-4: Moral modeling educational indicators

Values that we wish to transmit to students via leading by example
There are some values in universities that cannot be digitalised therefore cannot be measured. However
according to Likert scale, it is possible to obtain some ideas about these values. These values can be seen in
Table 5. These values contribute the enrolment of qualified students to universities. The values classified in
three sections. These are A) Values related to university‘s name and brand which look at external environment,
B) Values that develop university and productivity of staff and students are related with internal affairs. C)
High values which separates university from others.
Below mentioned list of values cannot be teached or quantized readily. They only can be transmitted by
behavioral leading by example to students. These positive qualities cannot be dictated in any way but they can be
embraced by the students solely due to their free will if the staff can establish an attractive and positive image.

37

Akademisyenin anlattıklarını kendisi yaĢayarak verdiğinde daha etkili olduğu bilinmektedir.

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�2nd International Symposium on Sustainable Development, June 8-9 2010, Sarajevo

A
A
A
B
B
C
C
C
C

Indicator-5: Values that cannot be digitalised
1. Institutional Culture (Values, Beliefs, attitudes, the way of thinking and moral sense)
2. Prestige
3. Brand recognition and awareness
4. The presence of Academic Freedom
5. The presence of Freedom of Thought
6. Existence of Ethical Values
7. The presence of universal humanist values
8. The presence of sense of solidarity
9. Presence of Confidence and Trust
Table 6: Indicator-5: Values that we wish to transmit to students via leading by example

Conclusion
In this study, the proposition of university model that contains values, which are expected to be in a
university could contribute positively to the changes in the world is developed. This proposed model is built on
outputs since it would be too difficult and to wide to analyze whole university system. To measure outputs will
give us important information about the inputs and the process since quality outputs depend on quality inputs and
process.
In this model the reasons of university preference have been analyzed from different dimensions such as the
quality of education, research and publications, the popularity of the university and the culture of institution
The question of why any university is more attractive than other universities for international students
and why students do not prefere domestic universities but go to foreign universities was answered by the model
as a result of international publications and projects, and academic freedom which are essentials for international
popularity.
Proficiency level of universities will be assessed with comperative analyses of the number and capacity
level of both domestic and foreign universities
Many methods have been developed so far to measure the efficiency of universities. These measures
mostly depend on education and research-publication measures. Many times even education was out of
measurement. But differing from other models, this model supplies new measures in respect to social service,
role model of academics to students in the education process and moral values beside of education and researchpublication measures.
The essential point of this model is the acceptance of positive behavioral moods via academic and administration
stuff who are complete exampler for students and society rather than unflexible administrative rules. It is clear
that enforced and administrated changes are not permanent but self-preferred and beloved changes are
permanent.

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                    <text>2nd International Symposium on Sustainable Development, June 8-9 2010, Sarajevo

Alternative Manufacturing Technique in Glass Industry for Devoloping
Countries: Fused Glass , “Zumrut Art Of Glass Model” and Its Applicability
in Bosnia Herzegovina Economy
Mesut ALBENĠ
Faculty of Economics and Administrative Sciences
Suleyman Demirel University, Turkey
mesut@iibf.sdu.edu.tr
Muhlis CAN
Faculty of Economics and Administrative Sciences
Hakkâri University, Turkey
muhliscan@hakkari.edu.tr

Abstract: Tourism industry plays an important role in the sustainable devolopment process of the
countries. Giftware (souvenir,craft) sector also forms one of the important elements of tourism
revenues.. However, finding same types of the products in many countries around the world is the
signal that the sale of goods loose their competitivines and so, some innovations are needed. In
this study, the contributions of new production techniques in glass industry, to which increasement
of the export by taking the advantage of niche market and reducement of the unemployement, are
examined for tourism oriented souvenir industry. The "Glass Fusion Technique" is discussed in
order to concretize the purpose of this study with ―Zumrut Art of Glass‖ model and the possibilty
of application into Bosnia and Herzegovina economy.
Keywords: Tourism, Souvenir, Gift, Craft, Fused Glass

Introduction
There are some sectors, playing important roles for not only devoloped countires but also devoloping ones;
such as textile industry, glass industry, otomobile industry, tourism sector. However, for all, tourism is a common
vehicle for all economies.
Tourism is a rapidly developing global industry and has great economic significance for the economy
(Gunce, 2003). It is increasing at annual growth rate between %4 - %7 (Turner &amp; Reisinger, 2001).

Table 1: International Tourist Arrivals and International Tourism Receipts Source between 1990-2008
Source: World Tourism Organization

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�2nd International Symposium on Sustainable Development, June 8-9 2010, Sarajevo

International tourist arrivals have continued to grow steadily from 25 million in 1950 to 684 millon in 2000,
and they have reached 922 millon in 2008. Tourism has been becoming one of the largest and fastest growing
economic sectors in the world (World Tourism Organization, 2009).
Tourism has been one of the major international trade categories. For example, the overall export income
generated by international tourism including passengers transport reached US $ 1.1 trillion in 2008,or US $ 3 billion
a day. World‘s Export of commericial services consist of 30% from tourism and overall export goods and services
6% consist of tourism. Globally, as an export category, after fuels, chemicals and automotive products tourism ranks
fourth. For many developing countries, tourism is one of the main income source and the number one export
category, providing much needed employment and opportunities for development(World Tourism Organization,
2009).

Table-2: International Tourist Arrivals by ( Sub) region
Source: World Tourism Organization
As it can be seen from the figure, Europe has %53,1 share from all international arrivals with 489,4 million
people in 2008. However, Bosnia has just 212.749 international tourist arrivals in the same year (Federation of
Bosnia and Herzegovina Federal Office Of Statistics, 2009) which is equal to ‰4 from Europe tourist arrivals.
According to UNWTO‘s Tourism 2020 Vision reports, international arrivals are expected to reach nearly
1.6 billion by the year 2020. The total tourist arrivals by regions shows that, tourism will grow and the top three
receiving regions will be Europe (717million tourists), East Asia (397 million) and the Americas (282 million)
(World Tourism Organization, 2009).

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Table 3: Forecasting of International Tourist Arrivals Between 2010-2020
Source : World Tourism Organization

The Effect of Tourism on Economy
Tourism does not only affect the countries in one way. It has also positive effects on the devolopment of the
physical, social, cultural and economic environment of a country(Gunce, 2003). Tourism has positive effects on
economy in different ways. According to the United Nations foreign exchange earnings, the contribution to
government revenues, the generation of employment, the stimulation of infrastructure investment and the
contribution to local economies are some of them (Torrent, 2008; United Nations Environment Programme).
Tourism contributes to the worldwide gross domestic products nearly 5%, also it contributes to employment directlyindirectly and it is estimated 6-7% of the overall number of jobs which are provided by tourism ( World Tourism
Organization, 2009). For developing countries, where tourism is a key economic sector, the importance of tourism
tends to be higher for economy (World Tourism Organization, 2009). There are some activities which are relavant to
the tourism and have impacts on the economy in positive way during the journey. One of them is shopping.

The Importance of Shopping During a Journey
Shopping might be the most universal activities, despite the fact that it is seldom considered as a primary
reason for travel (Turner &amp; Reisinger, 2001). Whether international or domestic tourism , for both, the second most
important expenditure item is shopping after accommodation ( Turner &amp; Reisinger, 2001). For a tourist, a tour can
not be a complete traveling experience without shopping ( Hudman &amp; Hawking,1989). Shopping is a common and
preferred tourist activity in different locations, and for today‘s travelers, tourism and shopping are integrated to each
other. Shopping activities include especially souvenir, because tourists need to bring home something tangible to
concretize and preserve their memories for their trips (Gordon, 1986). Souvenirs are related to tourism as
commercially produced and purchased object to remind the purchaser of the experience (Swanson &amp; Horridge,
2006). Souvenir products also include craft products which are called craft souvenir.
What effects tourists when they decide to buy souvenirs? Turner and Reisinger (2001) found three
important product characteristics for tourists purchasing cultural products: value (range, quality), product display
characteristics (color, display, packaging, size), and uniqueness (memory of the trip). The ease of cleaning, care, and
packing were of particular importance for travelers to reach the decision of craft buying (Hair et al.,1998).
Through crafts, tourists generally prefer the products which are valuable work of the hand. According to
UNESCO report (2007), there is a wrong impression that tourists prefer industrialized goods rather than handmade
products. Especially nowadays, mass-produced polyester products which seem very simple, are sold everywhere.
Also textile crafts can be found in every destination. Finding same types of the products in many countries around
the world signals that the sale of goods loose their competitivines and so, some innovations are needed.

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In this study, we would like to emphasize on advantage of the craft sector for devoloping countries. As
generally devoloping countries has labour intensive sectors. For production of craft, sector also needs cheap labour
force. According to UNESCO report ( 2007) the economic characteristics of the craft sectors are:
- The handicrafts sector requires minimum expenditure and infrastructure to establish as it is a home-based industry.
Therefore it can create jobs with minimum cost.
- In general this sector uses raw materials which are avaliable locally.
- Product adaptation is less expensive than investing in energy, machinery or technology becasue inputs required can
easily be provided.

The Worldwide Situation of Craft Sector
Handicrafts have been devoloping without specific political stratetegies and they directly depend on demand
gererated by tourism industry ( UNESCO, 2007). According to report released by UNESCO (2007) the national
accounts do not fully include handicraft activities. However, handicrafts are always parts of the culture of a nation
and represent a key component of socio-economic life. Many countries face to some difficulties in collecting data
about craft sector because there is an important lack of data on the craft sectors.
In some industrialized countries, craft sector plays an important role in their economy. For example in
Italy, 24% of national enterprises belong to the crafts sector in which 1/5 private sector workers are employed. In
Italian total Gross Domestic Products (GDP) ,craft exports share is %17. Morever in devoloping countries craft
sector has a great importance in economy. In Colombia, crafts production represents income of approximately US$
400 million in a year and brings in a monthly income to the workers between US$ 140 to 510. Crafts exports (not
include sales to tourists) approximately amount to US$ 40 million per year. Two-thousand shops and 400 bulk and
export trading companies, where 800,000 people are employed, affected by this important tourism market. Tunisia is
another example. Craft sector is employing 300.000 people (%11 of the active population) of whom are working 4
hours a day on a part time-time basis. Their production contribute to Gross Domestic Income an avarage of %3,8 and
provide US$ 2,400 income per household (an average of 5 members). In Morocco, Ministry of Tourism measure the
volume of the these sector at %19 of total GDP. Morocco export handcraft products approximately valued US$ 63
million.
Nowadays, there is a problem in souvenir industry. Finding same types of the products ( for example:
textile products: t-shirts, carpet, cheap polyeserin products) , in many countries around the world is the signal that the
sale of goods loose their competitivines and so, some innovations are needed.
In this study, we would like to introduce an innovation in craft, souvenir and giftware. Our main method is
Fused Glass Tecnique that is used in Turkey for touristic craft and souvenir industry. Not only for just giftware, it
can also be applicated in Tableware, Decoration, Kitchenware, Hotel Products, Electirical Equipments etc. So, this
new tecnique affects different sectors in not only domestic markets but also export markets.

Fused Glass and “Zumrut Art Of Glass” Model
What is fused (fusing) glass? It is a process of joining pieces of glass by melting them together and the main
aim of fusing is to produce a solid glass sheet from individual pieces of glass which are arrange beside or on the top
of one another by melting together in a kiln (Eberle, 1997).

History of Zumrut Art of Glass
Zumrut Art of Glass was established in 1981. The company entered the glass sector with decorative items
by using the tecniques which are popular during that time: stained glass and sand blasting. In 1997, the company
decided to produce new products by using unique tecnique which was not avaliable in Turkey. It brought fused
(fusing) glass tecnique to Turkey. The company also desired to enter the giftware, souvenir sector by means of this
unique tecnique. After preparing the consept products and marketing, they got a lot of orders from touristic places. In
2002, the company participated giftware fair which was in Germany and this date was the starting of entrance to the
foreign markets. In 2005, the company invested to the water jet CNC machine for putting the limits away for
designs. After this investment, all the designs have been prepared in computers with benefiting from the technology.

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�2nd International Symposium on Sustainable Development, June 8-9 2010, Sarajevo
In 2006, to satisfy the customers‘ request, the drop tecnique which gives opportunity to produce locational and
promotional products was applied into the production.

Product Consept
Zumrut Art of Glass product consept consist of Giftware, Tableware, Souvenir, Tea and Coffee Sets, Sugar
Plates, Candle Holders, Magnets, Key Rings, Clocks, Picture Frames, Glass Tables, Plate Sets, Fruit Bowls, Self
Service plates, Tea-Coffee Trays, Vases, Ashtrays, Chandeliers, Door Glasses, Glass Sinks, Mirror Frames, Bowls,
Dinner Sets.

Employment Situation
There are 900 sales points, which are located generally in touristic places, of the company and it has 10 own
exhibition centers. Zumrut Art of Glass is employing directly 25 workers in manufacturing department, 20 persons in
exhibition centers as salesperson position,10 staff in different departments. Also company is employing 150 persons
indirectly.

Production Process
The production steps are made up:
1-) Flat glasses are provided firstly as plates in different thicknesses for products of which their production
is carried out by utilizing fusion glass melting tecnology.
2-) The necessary glass cutting processes are performed according to design and pattern of the product that
will be produced. While the glass patterns are cut manually in the cutting workshop, the design cutting is carried out
in Water Jet CNC bench. The water jet machine is able to cut all kinds of materials as two dimentional by operating
in the CNC machines‘ principle. The cutting carried out with water is able to see thinner details and carried out
milimetric cuttings in comparison to other tecnologies.
3-) The pattern and design glasses that have been got together in the production department are then placed
into molds in the fusion glass furnaces after the necessary staining are done and the furnaces are made ready in order
to perform thermal processing. All the Works taht have been carried out in the production are hand made and all the
staining is carried out between two glasses. After 800 C thermal processing is applied, since the fusion glass furnace
is kept for cooling, tension of the glass product has been taken and it is more resisting in comparison to normal flat
glass.
4-) For souvenir industry, plastic drop process is applied into the products . Plastic drop is poured on
photographs by labeling the which are demanded with the drop label tecnique and the photographs has been
protected between the label and the drop. All kind of design, figure and logo are able to be applied on the glass with
this tecnique.

Domestic and Foreign Market Situation Of Zumrut Art of Glass
Domestic market has 60% share and foreign market has 40% in total. Many of products which are
manufactured in fused (fusing) glass tecnique are sold in Antalya, Fethiye, Bodrum, Marmaris, Kusadasi, Izmir,
Ankara, Ġstanbul in Turkey with different points. The companys‘ exports markets consists of 15% of USA, 75% of
EU and %10 others. 2 million pieces of products are manufactured and sold in both foreign and domestic market
every year. The most popular products are magnets which are very easy to pack and hold, sugar plates which reflect
the culture of the location, tea sets with different figures, mini vase and wall decoration gifts.

Discussion

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�2nd International Symposium on Sustainable Development, June 8-9 2010, Sarajevo

Devoloping countries, especially nowadays, try to continue their development process with different
methods. Some of them are transfering capital from agricultural to industrial production, some of them are try to
increase earnings from different industry. However, there is a hard competitiveness in all industry for all countries
and this creates a hard situation for devoloping ones. That means developing countries should find new methods
which can be a competitive to continue their development process by using their rich and cheap labour force.
Tourism is very important tool for development. Some of governments advertise their countries with
different methods to increase the number of tourist arrivals. Some of them organize festivals, some of them give
advertisements to TV programs to introduce their countries nature, the places for sight-seeing etc. Bosnia should also
use methods to introduce its unique nature, touristic opportunies and historical background.
Whether there is a little increasement in tourist arrivals, Bosnia Herzegovina with the share ‰4 from total
from Europe that has %53,1 share from all international arrivals with 489,4 million tourists, Bosnian government
should implement some policies to increase the share in the Europe. According to forecasting reports shows that
tourist arrivals will continue to grow in Europe. In the light of this information, Bosnia can increase and take
advantage of tourism sector if the government apply important policies into tourism industry for sustainable
devolopment.
Account deficit, unemployment and low income level constitue important economic problems in Bosnia.
1.708.000 persons are in the working age population and 226.000 persons are unemployed ( Federation of Bosnia
and Herzegovina Federal Office Of Statistics, 2009 ). Tourism oriented invesments to fusing glass tecniques in
souvenir industry will not only help decrease of unemployement, but also contribute to increase of the export with its
geographical advantages. Bosnia Herzegovina, which is located in the middle of Europe where the estimated tourist
arrival number will be 717 million in 2020, can use the advantage of minumun cost investment into the craft
industry, which will affect whole economy like a chain not only with retail shopping but also with export trade.

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                    <text>2nd International Symposium on Sustainable Development, June 8-9 2010, Sarajevo

Alternative Manufacturing Technique in Glass Industry for Devoloping
Countries: Fused Glass , “Zumrut Art Of Glass Model” and Its Applicability
in Bosnia Herzegovina Economy
Mesut ALBENĠ
Faculty of Economics and Administrative Sciences
Suleyman Demirel University, Turkey
mesut@iibf.sdu.edu.tr
Muhlis CAN
Faculty of Economics and Administrative Sciences
Hakkâri University, Turkey
muhliscan@hakkari.edu.tr

Abstract: Tourism industry plays an important role in the sustainable devolopment process of the
countries. Giftware (souvenir,craft) sector also forms one of the important elements of tourism
revenues.. However, finding same types of the products in many countries around the world is the
signal that the sale of goods loose their competitivines and so, some innovations are needed. In
this study, the contributions of new production techniques in glass industry, to which increasement
of the export by taking the advantage of niche market and reducement of the unemployement, are
examined for tourism oriented souvenir industry. The "Glass Fusion Technique" is discussed in
order to concretize the purpose of this study with ―Zumrut Art of Glass‖ model and the possibilty
of application into Bosnia and Herzegovina economy.
Keywords: Tourism, Souvenir, Gift, Craft, Fused Glass

Introduction
There are some sectors, playing important roles for not only devoloped countires but also devoloping ones;
such as textile industry, glass industry, otomobile industry, tourism sector. However, for all, tourism is a common
vehicle for all economies.
Tourism is a rapidly developing global industry and has great economic significance for the economy
(Gunce, 2003). It is increasing at annual growth rate between %4 - %7 (Turner &amp; Reisinger, 2001).

Table 1: International Tourist Arrivals and International Tourism Receipts Source between 1990-2008
Source: World Tourism Organization

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�2nd International Symposium on Sustainable Development, June 8-9 2010, Sarajevo

International tourist arrivals have continued to grow steadily from 25 million in 1950 to 684 millon in 2000,
and they have reached 922 millon in 2008. Tourism has been becoming one of the largest and fastest growing
economic sectors in the world (World Tourism Organization, 2009).
Tourism has been one of the major international trade categories. For example, the overall export income
generated by international tourism including passengers transport reached US $ 1.1 trillion in 2008,or US $ 3 billion
a day. World‘s Export of commericial services consist of 30% from tourism and overall export goods and services
6% consist of tourism. Globally, as an export category, after fuels, chemicals and automotive products tourism ranks
fourth. For many developing countries, tourism is one of the main income source and the number one export
category, providing much needed employment and opportunities for development(World Tourism Organization,
2009).

Table-2: International Tourist Arrivals by ( Sub) region
Source: World Tourism Organization
As it can be seen from the figure, Europe has %53,1 share from all international arrivals with 489,4 million
people in 2008. However, Bosnia has just 212.749 international tourist arrivals in the same year (Federation of
Bosnia and Herzegovina Federal Office Of Statistics, 2009) which is equal to ‰4 from Europe tourist arrivals.
According to UNWTO‘s Tourism 2020 Vision reports, international arrivals are expected to reach nearly
1.6 billion by the year 2020. The total tourist arrivals by regions shows that, tourism will grow and the top three
receiving regions will be Europe (717million tourists), East Asia (397 million) and the Americas (282 million)
(World Tourism Organization, 2009).

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�2nd International Symposium on Sustainable Development, June 8-9 2010, Sarajevo

Table 3: Forecasting of International Tourist Arrivals Between 2010-2020
Source : World Tourism Organization

The Effect of Tourism on Economy
Tourism does not only affect the countries in one way. It has also positive effects on the devolopment of the
physical, social, cultural and economic environment of a country(Gunce, 2003). Tourism has positive effects on
economy in different ways. According to the United Nations foreign exchange earnings, the contribution to
government revenues, the generation of employment, the stimulation of infrastructure investment and the
contribution to local economies are some of them (Torrent, 2008; United Nations Environment Programme).
Tourism contributes to the worldwide gross domestic products nearly 5%, also it contributes to employment directlyindirectly and it is estimated 6-7% of the overall number of jobs which are provided by tourism ( World Tourism
Organization, 2009). For developing countries, where tourism is a key economic sector, the importance of tourism
tends to be higher for economy (World Tourism Organization, 2009). There are some activities which are relavant to
the tourism and have impacts on the economy in positive way during the journey. One of them is shopping.

The Importance of Shopping During a Journey
Shopping might be the most universal activities, despite the fact that it is seldom considered as a primary
reason for travel (Turner &amp; Reisinger, 2001). Whether international or domestic tourism , for both, the second most
important expenditure item is shopping after accommodation ( Turner &amp; Reisinger, 2001). For a tourist, a tour can
not be a complete traveling experience without shopping ( Hudman &amp; Hawking,1989). Shopping is a common and
preferred tourist activity in different locations, and for today‘s travelers, tourism and shopping are integrated to each
other. Shopping activities include especially souvenir, because tourists need to bring home something tangible to
concretize and preserve their memories for their trips (Gordon, 1986). Souvenirs are related to tourism as
commercially produced and purchased object to remind the purchaser of the experience (Swanson &amp; Horridge,
2006). Souvenir products also include craft products which are called craft souvenir.
What effects tourists when they decide to buy souvenirs? Turner and Reisinger (2001) found three
important product characteristics for tourists purchasing cultural products: value (range, quality), product display
characteristics (color, display, packaging, size), and uniqueness (memory of the trip). The ease of cleaning, care, and
packing were of particular importance for travelers to reach the decision of craft buying (Hair et al.,1998).
Through crafts, tourists generally prefer the products which are valuable work of the hand. According to
UNESCO report (2007), there is a wrong impression that tourists prefer industrialized goods rather than handmade
products. Especially nowadays, mass-produced polyester products which seem very simple, are sold everywhere.
Also textile crafts can be found in every destination. Finding same types of the products in many countries around
the world signals that the sale of goods loose their competitivines and so, some innovations are needed.

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�2nd International Symposium on Sustainable Development, June 8-9 2010, Sarajevo

In this study, we would like to emphasize on advantage of the craft sector for devoloping countries. As
generally devoloping countries has labour intensive sectors. For production of craft, sector also needs cheap labour
force. According to UNESCO report ( 2007) the economic characteristics of the craft sectors are:
- The handicrafts sector requires minimum expenditure and infrastructure to establish as it is a home-based industry.
Therefore it can create jobs with minimum cost.
- In general this sector uses raw materials which are avaliable locally.
- Product adaptation is less expensive than investing in energy, machinery or technology becasue inputs required can
easily be provided.

The Worldwide Situation of Craft Sector
Handicrafts have been devoloping without specific political stratetegies and they directly depend on demand
gererated by tourism industry ( UNESCO, 2007). According to report released by UNESCO (2007) the national
accounts do not fully include handicraft activities. However, handicrafts are always parts of the culture of a nation
and represent a key component of socio-economic life. Many countries face to some difficulties in collecting data
about craft sector because there is an important lack of data on the craft sectors.
In some industrialized countries, craft sector plays an important role in their economy. For example in
Italy, 24% of national enterprises belong to the crafts sector in which 1/5 private sector workers are employed. In
Italian total Gross Domestic Products (GDP) ,craft exports share is %17. Morever in devoloping countries craft
sector has a great importance in economy. In Colombia, crafts production represents income of approximately US$
400 million in a year and brings in a monthly income to the workers between US$ 140 to 510. Crafts exports (not
include sales to tourists) approximately amount to US$ 40 million per year. Two-thousand shops and 400 bulk and
export trading companies, where 800,000 people are employed, affected by this important tourism market. Tunisia is
another example. Craft sector is employing 300.000 people (%11 of the active population) of whom are working 4
hours a day on a part time-time basis. Their production contribute to Gross Domestic Income an avarage of %3,8 and
provide US$ 2,400 income per household (an average of 5 members). In Morocco, Ministry of Tourism measure the
volume of the these sector at %19 of total GDP. Morocco export handcraft products approximately valued US$ 63
million.
Nowadays, there is a problem in souvenir industry. Finding same types of the products ( for example:
textile products: t-shirts, carpet, cheap polyeserin products) , in many countries around the world is the signal that the
sale of goods loose their competitivines and so, some innovations are needed.
In this study, we would like to introduce an innovation in craft, souvenir and giftware. Our main method is
Fused Glass Tecnique that is used in Turkey for touristic craft and souvenir industry. Not only for just giftware, it
can also be applicated in Tableware, Decoration, Kitchenware, Hotel Products, Electirical Equipments etc. So, this
new tecnique affects different sectors in not only domestic markets but also export markets.

Fused Glass and “Zumrut Art Of Glass” Model
What is fused (fusing) glass? It is a process of joining pieces of glass by melting them together and the main
aim of fusing is to produce a solid glass sheet from individual pieces of glass which are arrange beside or on the top
of one another by melting together in a kiln (Eberle, 1997).

History of Zumrut Art of Glass
Zumrut Art of Glass was established in 1981. The company entered the glass sector with decorative items
by using the tecniques which are popular during that time: stained glass and sand blasting. In 1997, the company
decided to produce new products by using unique tecnique which was not avaliable in Turkey. It brought fused
(fusing) glass tecnique to Turkey. The company also desired to enter the giftware, souvenir sector by means of this
unique tecnique. After preparing the consept products and marketing, they got a lot of orders from touristic places. In
2002, the company participated giftware fair which was in Germany and this date was the starting of entrance to the
foreign markets. In 2005, the company invested to the water jet CNC machine for putting the limits away for
designs. After this investment, all the designs have been prepared in computers with benefiting from the technology.

664

�2nd International Symposium on Sustainable Development, June 8-9 2010, Sarajevo
In 2006, to satisfy the customers‘ request, the drop tecnique which gives opportunity to produce locational and
promotional products was applied into the production.

Product Consept
Zumrut Art of Glass product consept consist of Giftware, Tableware, Souvenir, Tea and Coffee Sets, Sugar
Plates, Candle Holders, Magnets, Key Rings, Clocks, Picture Frames, Glass Tables, Plate Sets, Fruit Bowls, Self
Service plates, Tea-Coffee Trays, Vases, Ashtrays, Chandeliers, Door Glasses, Glass Sinks, Mirror Frames, Bowls,
Dinner Sets.

Employment Situation
There are 900 sales points, which are located generally in touristic places, of the company and it has 10 own
exhibition centers. Zumrut Art of Glass is employing directly 25 workers in manufacturing department, 20 persons in
exhibition centers as salesperson position,10 staff in different departments. Also company is employing 150 persons
indirectly.

Production Process
The production steps are made up:
1-) Flat glasses are provided firstly as plates in different thicknesses for products of which their production
is carried out by utilizing fusion glass melting tecnology.
2-) The necessary glass cutting processes are performed according to design and pattern of the product that
will be produced. While the glass patterns are cut manually in the cutting workshop, the design cutting is carried out
in Water Jet CNC bench. The water jet machine is able to cut all kinds of materials as two dimentional by operating
in the CNC machines‘ principle. The cutting carried out with water is able to see thinner details and carried out
milimetric cuttings in comparison to other tecnologies.
3-) The pattern and design glasses that have been got together in the production department are then placed
into molds in the fusion glass furnaces after the necessary staining are done and the furnaces are made ready in order
to perform thermal processing. All the Works taht have been carried out in the production are hand made and all the
staining is carried out between two glasses. After 800 C thermal processing is applied, since the fusion glass furnace
is kept for cooling, tension of the glass product has been taken and it is more resisting in comparison to normal flat
glass.
4-) For souvenir industry, plastic drop process is applied into the products . Plastic drop is poured on
photographs by labeling the which are demanded with the drop label tecnique and the photographs has been
protected between the label and the drop. All kind of design, figure and logo are able to be applied on the glass with
this tecnique.

Domestic and Foreign Market Situation Of Zumrut Art of Glass
Domestic market has 60% share and foreign market has 40% in total. Many of products which are
manufactured in fused (fusing) glass tecnique are sold in Antalya, Fethiye, Bodrum, Marmaris, Kusadasi, Izmir,
Ankara, Ġstanbul in Turkey with different points. The companys‘ exports markets consists of 15% of USA, 75% of
EU and %10 others. 2 million pieces of products are manufactured and sold in both foreign and domestic market
every year. The most popular products are magnets which are very easy to pack and hold, sugar plates which reflect
the culture of the location, tea sets with different figures, mini vase and wall decoration gifts.

Discussion

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�2nd International Symposium on Sustainable Development, June 8-9 2010, Sarajevo

Devoloping countries, especially nowadays, try to continue their development process with different
methods. Some of them are transfering capital from agricultural to industrial production, some of them are try to
increase earnings from different industry. However, there is a hard competitiveness in all industry for all countries
and this creates a hard situation for devoloping ones. That means developing countries should find new methods
which can be a competitive to continue their development process by using their rich and cheap labour force.
Tourism is very important tool for development. Some of governments advertise their countries with
different methods to increase the number of tourist arrivals. Some of them organize festivals, some of them give
advertisements to TV programs to introduce their countries nature, the places for sight-seeing etc. Bosnia should also
use methods to introduce its unique nature, touristic opportunies and historical background.
Whether there is a little increasement in tourist arrivals, Bosnia Herzegovina with the share ‰4 from total
from Europe that has %53,1 share from all international arrivals with 489,4 million tourists, Bosnian government
should implement some policies to increase the share in the Europe. According to forecasting reports shows that
tourist arrivals will continue to grow in Europe. In the light of this information, Bosnia can increase and take
advantage of tourism sector if the government apply important policies into tourism industry for sustainable
devolopment.
Account deficit, unemployment and low income level constitue important economic problems in Bosnia.
1.708.000 persons are in the working age population and 226.000 persons are unemployed ( Federation of Bosnia
and Herzegovina Federal Office Of Statistics, 2009 ). Tourism oriented invesments to fusing glass tecniques in
souvenir industry will not only help decrease of unemployement, but also contribute to increase of the export with its
geographical advantages. Bosnia Herzegovina, which is located in the middle of Europe where the estimated tourist
arrival number will be 717 million in 2020, can use the advantage of minumun cost investment into the craft
industry, which will affect whole economy like a chain not only with retail shopping but also with export trade.

References
Eberle, B. (1997). Creative Glass Tecniques (pp. 15). Lark Books A division of Sterling Publishing Co.
Federation of Bosnia and Herzegovina Federal Office Of Statistics, (2009), Statistical Yearbook 2009. Retrieved on April 6, 2010
from http://www.fzs.ba/Statisticki%20godisnjak%202009.pdf
Gordon, B. (1986). The souvenir: messenger of the extraordinary. Journal of Popular Culture, 20, 135–146.
Gunce, E. (2003). Tourism and local attitudes in Girne, Northern Cyprus. Cities, 20(3), 181-195
Hair, J. F., Anderson, R. E., Tatham, R. L., &amp; Black, W. C. (1998). Multivariate data analysis (5th ed.). Upper Saddle River, NJ:
Prentice-Hall.
Hudman, L. E., &amp; Hawkins, D. E. (1989). Tourism in contemporary society. Englewood Cliffs, NJ: Prentice Hall.
Swanson, K. K., &amp; Horridge, P.E. (2006). Travel motivations as souvenir purchase indicators. Tourism Management, 27, 671-683
Torrent, R. R.-I-., (2008). Sustainable development in tourism municipalities: The role of public goods. Tourism Management, 29,
883-897
Turner, L. W., &amp; Reisinger, Y. (2001). Shopping satisfaction for domestic tourist. Journal of Retailing and Consumer Services, 8,
15-27
UNESCO, (2007). Handicrafts and Employment Generation for the Poorest Youth and Women (pp. 03-50) . Retrieved on April 6,
2010 from http://unesdoc.unesco.org/images/0015/001567/156772e.pdf
United Nations Environment Programme, http:// www.unep.org
World Tourism Organization. (2009). Tourism Highlights. Retrieved on April 6, 2010 from
http://unwto.org/facts/eng/highlights.htm

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                    <text>2nd International Symposium on Sustainable Development, June 8-9 2010, Sarajevo

Analysis of Human Development in Balkan Countries: A Comparison of West
and Middle Europe Countries

Hüseyin ALTAY
Assist. Prof. Dr., Bilecik University, Faculty of Economics and Administrative Sciences,
Department of Economics, Bilecik, TURKEY,
Phone: +90 228 212 42 96 (ext.120)
huseyin.altay@bilecik.edu.tr
Ali ġEN
Assist. Prof. Dr., Dumlupinar University, Faculty of Economics and Administrative Sciences,
Department of Economics, Kutahya, TURKEY,
Phone: +90 274 265 20 31 (ext.2108) Fax: +90 274 265 21 97
alisen@dumlupinar.edu.tr

Abstract: Since the beginning of 1990s, Balkan countries have significantly been changing as social,
economic and politic structure. However, these countries have important differences in terms of human
development indicators. Some countries in Balkans have low GDP levels. However, same countries
replace between High Level Development countries in Human Development Index (prepared by UNDP).
The aim of this paper is to investigate in terms of human development of Balkan countries that are not
being member of EU countries. In scope of this aim, we will compare with three country groups related to
human development. These groups are currently EU members countries (exclude Balkan countries),
currently Balkan countries that are member of EU and other Balkan countries. As a result, this paper will
have determined whether or not suitable for full membership to EU of Balkan countries.
Key Words: Balkan Countries, Human Development Index, European Union Countries.

Introduction
For the first time, ―development‖ concept emerged after nation-states (Balanuye and Halıcı, 2006). It was
based on a need for some structural and qualitative improvements in developing countries (ġan, 2005). The same
concept as a branch of development economics, for the first time, was used after Great Depression. Especially,
development economics took more of an interest in 1940s. Since World War II, development concept has usually
been examined economically. In balanced and unbalanced development theories, neo-liberal approaches and
dependence theories, development problem was seen as a part of production process. Thus, proposals concerning
solution also have focused how production factors could be obtained and how they could be used in production
process (Yavilioğlu, 2002). Because development and growth is examined together, in measurement of development
is also used indicators related to economic growth. If a country has a positive growth rate in its GDP and its growth
rate is stable, it is accepted as a development country. Raising per capita income is other development indicator
(Mıhçı, 1996).
Gross national product (GNP) or gross domestic product (GDP) were originally created as indicators of total
economic output for macroeconomic stabilization policy and were therefore not meant to be indicators of well-being.
On the other hand, it is certainly true that policy makers, the media and the public alike seem to equate GNP/GDP
with well-being. In international comparison as well, it is thought of the countries with a high GNP/GDP as not only
the rich, but also the well-off countries. However, because income is just one of the components of well-being,
GNP/GDP have long since been criticized as misleading and deficient indicators of well-being (Neumayer 2004).
Not only does development concept describe rising in GDP, but it has important effects on social and
economic life, including education, health (Demiral, 2007). However, even if some countries are described as
developed economically, they also have very problems. Thus, there is a need for a relationship between economic
growth and human development (Demir, 2006). The fact that development is only described as an economic concept
means that human factor is highly not considered. Development is based on fact of ―human development‖ (UNDP,

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2002). Most economics accept that GDP by itself is useful in measuring ―economic development‖ but it is
inadequate to understand a nation‘s social and cultural level (Piana, 2001). Therefore, it is defined development as
not only a rising in GDP and a diminishing in poverty but also a multidimensional process bringing about an
important change in social behaviors and structures and national institutions (Açıkgöz, Kök, Ġspir, 2008).
Development states improvement process of life quality of all people. Here, there are three facts in
appearance of development that have equal importance. First is an improvement in life quality of people, so that their
incomes increase, their education, health conditions improve. Second is an increase in self-confidence and merit of
people with developing social, cultural, political and economic structure. Finally, changing in their preference
opportunities of people increased their independences, and diversity of goods and services(Günsoy, 2005).
What are factors that affect affirmatively human lifetime? How do people live on healthier? How do they
prevent more efficient from illness? How do they enrich their thinking world? The kinds of questions are based on
human life regarding development (Mıhçı, 1996). The first author is Amartya Sen, who has examined this subject on
this base. According to Sen, there is human being in the base of all activities. Thus, development is to be based on
their liberties, achievements and capabilities (Anand and Sen, 1994). People will be able to obtain a higher quality
lifetime through better education and health system. Higher capacities create more liberty life standard. More liberty
people are more productive. In other words, there are subjects regarding people‘s life quality in Sen‘s approach.
Therefore, not being monetary issues have more priority than monetary ones do.
Having higher growth rate is inadequate to be development for a country. Furthermore, there is a need for
being known what development process are. Today, development is not about economic performance alone, but most
importantly about people and their wellbeing (Jahan, 2005). Thus, in period that was discussed approaches regarding
development, Human Development Report was published by UNDP, focusing Sen‘s capability and functioning
approach (Baliamoune and Lutz, 2004). Aim of the reports, which was firstly prepared by Mahbub ul Haq‘s team in
1990, puts human being in national and global policies and attracts attention of international development
environments to importance of life quality. Now, governments, non-governmental organizations, academicians and
media for the purpose of comparison of countries‘ development levels (Gürses, 2009) use the reports.
The concept of human development emphasized that (Jahan, 2005):
• Development is about enlarging people‘s choices by enhancing their functionings and capabilities.
• Development is of the people, for the people and by the people. The first refers to human capital formation
and human resources development through nutrition, health and education. Development for the people
stresses that the benefits of economic growth must be translated into lives of people. Development by the
people means that people must be able to influence the process, which affects their lives.
• Development must be woven around people, and not people around development

Measure of Human Development Index
The HDI is a summary measure of human development. It measures the average achievements in a country
in three basic dimensions of human development (UNDP, 2005):
• A long and healthy life, as measured by life expectancy at birth.
• Knowledge, as measured by the adult literacy rate (with two-thirds weight) and the combined rimary,
secondary and tertiary gross enrolment ratio (with one-third weight).
• A decent standard of living, as measured by GDP per capita in purchasing power parity (PPP) terms in US
dollars.

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A long and
Healthy life

DIMENSION

Knowledge

Adult literacy rate

Life expectancy
At birth

INDICATOR

Adult literacy index

Gross enrolment ratio
(GER)
GER index

Education index

Life expectancy
index

DIMENSION
INDEX

A decent standart
of living

GDP per capita
PPP US

GDP index

HUMAN DEVELOPMENT INDEX (HDI)

Figure 1: Formation of Human Development Report.
Source: UNDP (2005) Human Development Report
Before the HDI itself is calculated, an index needs to be created for each of these dimensions.
To calculate these indices—the life expectancy, education and GDP indices—minimum and maximum values
(goalposts) are chosen for each underlying indicator. Performance in each dimension is expressed as a value between
0 and 1 by applying the following general formula:
Dimension Index=

actualvalu e  min value
max value  min value

The HDI is then calculated as a simple average of the dimension indices. The box at right illustrates the
calculation of the HDI for a sample country.

Indicator
Life expectancy at birth (years)
Adult literacy rate (%)
Combined gross enrolment ratio
(%)
GDP percapita (PPP US$)

Maximum Minumum
Value
Value
85
25
100
0
100
0
40.000
100

Table 1: Goalposts for calculating the HDI
Source: UNDP (2005) Human Development Report
i) Life Expectancy Index: The life expectancy index measures the relative achievement of a country in life
expectancy at birth.
Life Ecpectancy Index=

LE  25
85  25

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ii) Education Index: The education index measures a country‘s relative achievement in both adult literacy
and combined primary, secondary and tertiary gross enrolment. First, an index for adult literacy and one for
combined gross enrolment are calculated. Then these two indices are combined to create the education index, with
two-thirds weight given to adult literacy and one-third weight to combined gross enrolment.
Education Index=

2
1
*ALI+ *GEI
3
3

Adult Literacy Index (ALI) =

ALR  0
100  0

Gross Enrollment Index (GEI) =

CGER  0
100  0

iii) GDP Index: The GDP index is calculated using adjusted GDP per capita (PPP US$). In the HDI income
serves as a surrogate for all the dimensions of human development not reflected in a long and healthy life and in
knowledge. Income is adjusted because achieving a respectable level of human development does not require
unlimited income. Accordingly, the logarithm of income is used.
GDP Index=

log( GDPpc)  log(100)
log( 40.000)  log(100)

HDI Index=1/3(Life Expectancy Index) + 1/3 (Education Index) + 1/3 (GDP Index)
Human Development Index (HDI) values ranges between 0 and 1. 0 value shows the lowest degree of HDI.
1 value shows the highest degree of HDI. HDI includes in three groups of countries regarding their development
levels. If a country‘s HDI value is between 0 and 0.499, it has Low Human Development; if a country‘s HDI value is
between 0.500 and 0.799, it has Medium Human Development; if a country‘s HDI value is between 0.800 and 1, it
has High Human Development (Ünal, 2008).

Human Development in Balkan Countries
In the 20th century, Balkan countries had partly different processes of development. Since 1981, Greece has
been a member of EU. In addition, it is an insider of Euro zone and Western European Union (WEU). Slovenia
joined EU in 2004. Bulgaria and Romania were insiders of EU in 2007. Although Turkey applied for membership of
EU, it was able to start membership negotiations in 2005. In 2005, Croatia and Macedonia were members of EU. On
the other hand, Bosnia and Herzegovina, Montenegro and Serbia have applied to membership of EU.
This paper intends to examine Balkan countries‘ human development levels in process of membership of
EU. The countries are three groups that are EU members, Balkan countries in EU and Balkan countries in process of
EU membership. Balkan countries will compare with EU (15), and other EU (10) members that were accepted
membership in 200431. The paper analyzes sub-indexes in HDI and examines countries‘ HDI as a whole. It is used
data from Human Development Reports (2000-2007) by published UNDP.

31

EU (15): Germany (1957), France (1957), Belgium (1957), Italy (1957), Luxemburg (1957), Netherland (1957), Denmark
(1973), Ireland (1973), Ġngiltere (1973), Greece (1981), Spain (1986), Portugal (1986), Sweden (1995), Austria (1995), Finland
(1995),
EU (10): Cyprus, Czech Republic, Estonia, Hungary, Lithuania, Latvia, Malta, Poland, Slovak Republic, Slovenia: (2004)
EU (2): Romania, Bulgaria: (2007)
Balkan Countries: Greece, Slovenia, Bulgaria, Romania, Albania, Bosnia and Herzegovina, Montenegro, Serbia, Macedonia,
Croatia, Turkey

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Figure 2: Life Expectancy Index 2000-2007
Greece has the highest Life Expectancy Index. Slovenia, Croatia and Albania follow Slovenia Bulgaria and
Romania have rather low LIE values. Within Balkan countries, which are non-member EU, Croatia has the highest
value. Turkey is at last rank regarding same value.

Figure 3: Education Index 2000-2007
According to Education Index, the highest value belongs to Slovenia, whose value is above of average of
EU‘s one. Greece Education Index follows Slovenia‘s one. Turkey has the lowest value of Education Index

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Figure 4: GDP Index 2000-2007
According to GDP Index, Greece has the highest value. Slovenia is in second rank. Both counties place
above of average of EU (10) countries, whose value is o.844. Within non-member EU countries, Croatia has the
highest GDP Index value. Albania has GDP Index value.

Figure 5: Human Development Index 2000-2007
Greece has the highest Human Development Index value. Although Greece is above of average of EU‘s
(10), it is below of average of EU‘s (15). Slovenia has second high value. Within non-member EU countries, Croatia
is a country that has the highest HDI. Montenegro and Serbia follow Slovenia. Moreover, in 2007, levels of these
countries‘ HDI were higher than Romania‘s and Bulgaria‘s ones. Turkey has lower value than Macedonia, Bosnia
and Herzegovina and Albania do.

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Figure 6: Human Development Index 2000-2007, All Countries
According to Human Development Index results for all countries, Sweden has the highest value regarding
2000-2007 averages. Respectively, Netherland, Ireland, Belgium, Luxemburg, Finland, France, Austria, Denmark,
England, Spain and Germany (EU 15) follow Sweden. Within EU (15) Greece has only better HDI level than
Portugal does. Within countries that have been member of EU since 2004, Slovenia has the highest HDI value so that
its value is higher than Portugal‘s. Romania and Bulgaria, which have been EU member since 2007, have lower HDI
degree than Croatia, Montenegro and Serbia, which have not been EU member yet. Macedonia, Bosnia and
Herzegovina, Albania and Turkey are last ranks.

Concluding Remarks
From 2000 to 2007 in Human Development reports, respectively, Greece, Slovenia, Croatia, Montenegro,
Serbia, Bulgaria, Romania and Macedonia have high HDI values. Bosnia and Herzegovina, Albania and Turkey have
medium HDI values. Greece is below of EU (15) average HDI. Slovenia has a HDI value that is higher than EU (10)
average. Romania and Bulgaria, which have been EU members since 2007, have lower HDI than Croatia,
Montenegro and Serbia, which have not been EU members yet.
Within non-member EU Balkan countries, Croatia is an outstanding country. Croatia has high values of
three sub-indexes of HDI. Although Albania and Bosnia and Herzegovina have high values in Life Expectancy
Index, their values of Education Index and GDP Index are rather low. Thus, the countries‘ HDI values are also low.
There is a similar situation for Turkey, whose GDP Index value is quite high. However, because of low values of
Education Index and Life Expectancy Index, Turkey is in last rank regarding HDI. According HDI values, Balkan
countries are two groups: first group includes the countries that are Croatia, Montenegro, Serbia and Macedonia,
which have high HDI; second group is Bosnia and Herzegovina, Albania and Turkey that have medium HDI.

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                <text>Since the beginning of 1990s, Balkan countries have significantly been changing as social,  economic and politic structure. However, these countries have important differences in terms of human  development indicators. Some countries in Balkans have low GDP levels. However, same countries  replace between High Level Development countries in Human Development Index (prepared by UNDP).  The aim of this paper is to investigate in terms of human development of Balkan countries that are not  being member of EU countries. In scope of this aim, we will compare with three country groups related to  human development. These groups are currently EU members countries (exclude Balkan countries),  currently Balkan countries that are member of EU and other Balkan countries. As a result, this paper will  have determined whether or not suitable for full membership to EU of Balkan countries.</text>
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                    <text>2nd International Symposium on Sustainable Development, June 8-9 2010, Sarajevo

Regionalism Reality And Convergence Analysis
In The European Union
AyĢen ALTUN
Dumlupinar University,
Department of Economics,Turkey
aysenaltun@dumlupinar.edu.tr

Abstract: The countries in the EU have entered into an essential localisation and
reconstruction period. In this process, regions have come to the forefront as one of the most
important actors of the EU and have acquired an ever-mounting impact area in the decisionmaking processes. There are two reasons for regional development model has been
evaluated on the axis of EU. Differences among the regions have increased due to the
enlargement of the Union and this subject has become an aspect that is emphasized after
each enlargement process. First of all, European Commission has followed a policy that has
a forward effect in order to decrease the instabilities since 1987 and has increased the size
of its intervention force. Whether the form of change in the convergence model can be
drawn or not, it gives a number of signs about the efficiency of regional policy. Secondly,
some changes have occurred in the understanding of regional policy which is the common
policy of the EU in the process after 1990s and the understanding of ―new regionalism‖ has
come forward. In this understanding, the term of ―region‖ has become essential and
acquired a new dimension.

Introduction
New regionalism in EU is being organized ideally by localizing of socio-economic resolution process and
putting a common policy into practice for sub-national theoretical frame. Along with this phenomenon, the EU
regional policies have passed through a turning point searching more efficient strategies in an atmosphere of
economic uncertainty and political change. Interregional convergence has come into prominence in this process.
This study is crucial in terms of EU‘s having a new regional understanding after 1990s and giving
importance to the phenomenon of ―convergence‖; showing whether the regions are in the process of ―convergence‖
or ―divergence‖ in this process and this situation‘s affecting the decisions of the EU about future. In the study, first
of all the concept, the significance and kind of ―region‖ in the EU is mentioned, then differences in development
levels of Union‘s regions are emphasized. Afterwards, theoretical frame of new regionalism and convergence are
drawn and their importance for the EU is mentioned. And then, it is carried into practice. Convergence analysis that
is carried for the EU regions covers the period between 1995 and 2005. Though studies have been carried out for 268
NUTS II regions in the EU, analyses have been made for 246 regions due to lack of data on some regions. 246
NUTS II regions are grouped into four different groups considering the enlargement processes of countries. In this
study, basic data about the EU have been obtained from the official website www.eurostat.com. Conditional and
absolute convergence analyses have been made using cross-section approach which is carried out by Barro and Salai Martin.

Definition and Importance of the Region in the EU
Definition of a region in the EU is an extremely sensitive issue in terms of regional policy. As the
regional policy of the Union is a policy respecting country borders and not intervening in the area of political system
within the nation – state, it is carried out through the ―region‖ definitions of the Member States (Brasche, 2001,
p.14). In this respect, the ―region‖ in the EU is defined as the pieces of land similar to each other in terms of
geographical, ecological, economic, cultural, ethnical and administrative perspectives.
Regions are becoming more and more significant during the economic and political process of the EU. In
the Preamble of the Rome Treaty establishing the EU and even before the Rome Treaty in the European Coal and
Steel Community Agreement, the concept of region was drawn attention by envisaging provisions related to the

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�2nd International Symposium on Sustainable Development, June 8-9 2010, Sarajevo
development of less developed regions and the elimination of inter – regional development disparities
(http://www.hri.org). Furthermore, the establishment of Committee of the Regions by the Maastricht Treaty is a
crucial step forward for the regional authorities to gain right to say in the EU decision – making process officially.
Regions have turned into more important units as the interregional development disparities in the EU are becoming
more apparent. In the EU, the regional backwardness or the development of the underdeveloped regions has not been
coming into prominence, yet decreasing the interregional development disparities has been gaining importance. The
importance of the ―Region‖ for the EU has resulted in the involvement of the regional authorities into the integration
process.

Classification of the Regions in the EU
In the EU, the concept of region is defined by taking into consideration several criteria such as the areas
dominated by a specific sector within the scope of new economic structuring, the areas bordered by a neighbouring
country and affected by the economic activities of that neighbouring country, transit regions, regions influenced by
the economic structure of a common settlement (Karluk, 2007, pp. 362-363).
The regions are classified as normative and analytical regions. Normative regions reflect political will;
their boundaries are fixed in terms of the remit of local authorities. This regions, the size of the region's population
regarded as corresponding to the economically optimal use of the necessary resources to accomplish their tasks.
Analytical (functional) region; are defined in terms of particular analytical requirements. They categorise areas
according to specific geographical criteria such as altitude or soil type, or by economic and social criteria such as the
homogeneity, complementarity or polarisation of regional economies (European Commission, 2007, p. 9).
The regions in the EU are seperated into categories on the basis of administrative structures of the
Member States as well as their economic situation, geographical location, etc (Scott, 2002, p.2).
The regional classification system which is important for the regional policy and the regional instruments
of the EU is the classification which is based on the functions and the structures (Commission of the European
Comminities, 1985, p.2). In the EU, the regions are classified as Homogeneous Regions, Polarized Regions,
Administrative Regions, Front Regions, Cross Border Regions, and Planning Regions according to their functions
and structures.
Homogeneous regions or uniform regions describe a unity consisted of bilevel and successive segments
according to the selected criteria (urban population, per capita income, socio-economic characteristics of the
population, etc.) (Erkal, 1990, p.17 &amp; Berry, 1961, p. 278).
Although it has been tried to have homogeneous regions while grouping NUTS regions that will be examined in the
scope of the planning regions in the EU, for instance while grouping 11 sub – NUTS II regions in Belgium,
heterogeneity can be possible among the regions. The unemployment rate in Région de Bruxelles-Capitale, a region
in Belgium, is 17.6 %; whereas it is 4.2 % in Prov. Vlaams Brabant and 4.2 % in Prov. West-Vlaanderen. This
heterogeneity rate is a lot more among the regions of different countries. Yet, the cities forming the regions are fairly
homogeneous.
Polorized regions are the regions which are clustered around an administrative center city, graded
according to their sizes and functions, and manage their fundamental relations via the center city (Taneri, 1986,
p.24). The more these regions exercise influence over their surrounding areas, the larger polarized regions they form.
For example, Munich region in Germany and Manchester region in the United Kingdom are polarized regions in the
EU.
Administrative regions, dependent on the political central authority in the hierarchical decision – making
process, are mostly formed in an artificial way. The county councils and municipalities in Sweden and cities in
France can be given as examples of administrative regions (Mengi, 2001, p. 23).
Front regions are usually economically the least developed parts of the countries they are located in. For example,
Aland region in Finland and Northern Ireland, etc. (Karlsson, 2007, p.42).
Cross – border regions are formed through cross border cooperation. Border regions are tried to be
developed and less developed infrastructure is struggled to be improved through these regions. The very first region
in this respect is Regio Basiliensis. The mentioned region covers Oberrhein in Switzerland, Alsace in France, and
Baden in Germany (Karlsson, 2007, pp.44-47).
Planning regions are determined for EU regional policy, funds and development agencies. For this
purpose, the EU designates underdeveloped regions and areas facing structural difficulties through a classification
system throughout the Union in order to decrease inter-regional development disparities (Moussis, 2004, p.230). This
classification is the NUTS (The Nomenclature of Territorial Units for Statistics) classification system which is a
unique and complete system dividing the territory of the EU to produce regional statistics for the EU (Casellas ve

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�2nd International Symposium on Sustainable Development, June 8-9 2010, Sarajevo
Galley, 1999, p.553). Regions in the NUTS classification system are general administrative units reflecting the
limitations of the mandates of local and regional authorities in a specific region (European Commission, 2008, p.
204). The regions in the EU are clustered under NUTS I, NUTS II and NUTS III levels in terms of planning and
incentives. Each EU country classifies NUTS regions themselves taking into account development levels and
assistance requirements (http://ec.europa.eu/). NUTS subdivides each Member State into a whole number of regions
at NUTS 1 level. Each of these is then subdivided into regions at NUTS level 2, and these in turn into regions at
NUTS level 3. (European Commission, 2005, p.5). This 3 – level classification in the NUTS system is a regional
classification as it covers the field management. Besides, there are NUTS IV and NUTS V levels which are the local
units (LAU – Local Administrative Units). These units include the settlement administrations (http://ec.europa.eu/).

New Regionalism in the EU
Supporting the regions in the EU has always been on the agenda as of the establishment of the Union.
The aim of the EU regional policy, supporting the economic integration, has been to ensure coherence of the regional
policies among the member states and decrease the existing disparities by using several tools. In the recent two
decades, a series of changes of conception has been experienced with regard to overcoming the problem of
eliminating inter – regional development disparities and ensuring convergence between the regions. These changes
have been reflected to the regional policies of the EU. ―New regionalism‖ concept, which has been developed upon
the criticisms of the policies projecting regional policy in the top-down government regimes, has influenced the EU
as well as the regional policies of many countries. The ―region‖ has become the first focus of political economy in
the policy called ―new regionalism‖. The regions have begun transferring their institutional capacities (Batchler ve
Yuill, 2001, p.10). According to this policy, inter-regional disparities will be alleviated by encouraging inter-regional
competition. In tandem with this understanding, the EU addresses the inter-regional inequality problem more widely
as a problem of regional development. New regionalism concept aims at revealing internal dynamics and improving
local economy through its own dynamics. A regional identity is created in economic, political and cultural fields.
This approach anticipates an understanding of bottom-to-top management in contrary to the former
regional policies (Gren, 2002, p.81). Administration and authority are transferred from central government to
regions. New regionalism gains more power with the authority granted to it. This authorization is the increase in the
power or capacity to progress to the regional agenda. Part of this authorization is used for the purpose of ensuring the
region and people to participate in the regional decision-making process constructively (http://www.munimall.net).
Taking into consideration NUTS classification at the level of local authorities, new service areas and units has been
established so as to increase effectiveness and decrease inter-regional development disparities. Thus, it is aimed at
maintaining convergence.

Differences and Convergence of the Regions in the EU
There are serious disparities of development among the regions in the EU in terms of certain indicators
such as gross domestic product (GDP) per capita, unemployment rate, education and health, the level of research and
development activities, and infrastructure facilities. These disparities increase in parallel with the enlargement of the
Union. Moreover, important problems of regional disparities still continue even in the founding member states.
It is important whether regional policy will effectively boost the growth of underdeveloped regions and
will improve convergence or not. Even though the calibration exercises tend to argue that regional transfer may boost
growth, there are still some suspicions concerning the effectiveness of regional policy according to the results of
econometric studies and case analyses.
The question of whether the socio-economic development disparities among the countries and the regions
will decrease in the course of time or not has an essential place in the economic literature. Variables which put
forward economic and social disparities and structural dispairites, especially including the GDP per capita figures
and GDP variation coefficients, can be used while determining these disparities. Whether these disparities increase or
decrease can be explained via the convergence or divergence of examined regions or countries to and from each
other.
Convergence is a catchy concept, but one that organizes serious thinking in diverse areas ranging from
economic growth, theoretical econometrics, finance, European politics and monetary union, regional planning and
geography, up through but not ending at entertainment and multi-media technology, and the software industry. And,
in practically every instance the term convergence is used with a different meaning (Quah, 1996, p.1). The concept
of convergence which can be described as the alleviation of international or national disparities in certain economic

756

�2nd International Symposium on Sustainable Development, June 8-9 2010, Sarajevo
variables can be shortly expressed as showing a tendency to a single point and approaching to a more similar
situation gradually (Gaynor and Karakitsos, 1997, p.24).Neoclassical growth model asserts that per-capita output
across countries or regions converges when they have similar preferences, technology levels and institutional and
legal systems (Brasili ve Gutierrez, 2004, p.2).
Whether the growth rates of relatively poor countries or regions will reach to those of richer ones in the
course of time or not is the convergence approach (Barro ve Sala-i Martin, 1992, p.223). In this approach uses two
concepts:  convergence and  convergence. There is  convergence if poor economies tend to grow faster than
wealty ones.  concept of convergence is often confused with an alternative definition of convergence, where that
the dispersion of real per capita income across groups of economies tend to fall over time (Sala-i Martin, 1996, p.
1327). Two types of  convergence are used in the literature : absolute and condinitional. The difference between
the absolute and conditional convergence is related to the assumption that whether the economies are in the same
condition or not in terms of some factors like technology, institutional infrastructure, and savings ratio. Whilst these
kinds of disparities among the regions or countries are overlooked in the absolute convergence, variables that will
create these kinds of disparities between the economies are added to the model in the conditional convergence.

Interregional Convergence Analysis in the EU
In the study, a convergence analysis was performed to be able to understand whether inter – regional
disparities in the EU are approaching to each other in time or not. The concept of convergence for the EU means that
economic disparities between the member states of the Union are to be decreased in accordance with the fundamental
aim of the Maastricht criteria and the economic performance levels of the countries are drawn closer to each other as
far as possible on a higher common ground rather than a lower one (Dinan, 2005, p.426). Thereby, similarity of the
economic coherence and macroeconomic indicators of the regions in the EU within the process was examined
through the convergence analysis.
In the study, the method followed by Barro and Sala-i Martin was utilized for the convergence analysis.
Convergence analysis was carried out with horizontal cross section approach. The analysis was initiated for 268
NUTS II regions. However, as data could not be found for some regions, the analysis was peformed for 246 regions.
At this point, 246 regions, consisting of 27 countries, were classified under 4 groups. The aim in this grouping was to
form homogeneous groups since adding too many regions in the convergence analysis could lead to wrong and
meaningless conclusions. The membership dates of the countries to the EU and the enlargement process was taken
into consideration while doing this grouping. There were totally 109 regions from France, Germany, Belgium, Italy,
the Netherlands and Luxembourg in the 1st group. A total of 38 regions from England, Denmark and Ireland were
found in the 2nd group. There were totally 58 regions from Greece, Portugal, Spain, Austria, Sweden and Finland in
the 3rd group. In the 4th group, there were a total of 41 regions from Greek Cypriot Administration of Southern
Cyprus, Malta, Hungary, Poland, Slovakia, Latvia, Estonia, Lithuania, Czech Republic, Slovenia, Romania, and
Bulgaria. These regions are NUTS II regions of the countries.
In the analysis, the data set covered the period from 1995 to 2005. Analyses were carried out for the
whole data set, in other words for 1995 – 2005 period, and for 2 sub – periods; 1995 – 2000 period and 2000 – 2005
period respectively. In this way, the convergence analysis between the regions has provided clearer results
throughout the years.
Absolute  convergence and Conditional  convergence and  convergence were respectively measured
for the regions in the groups. Variables were also added to the model in the Conditional  convergence in order to
reflect structural characteristics of the regions. Due to the data supply difficulties on the basis of the regions, merely
the share of R &amp; D expenditures in the GDP and unemployment rates were utilized. Dummy variable was used for
the unemployment rates. It has been determined through these analyses whether the interregional disparities in the
EU have the tendency of convergence or divergence and whether the EU regions display similar economic
performances in time or not.
In the  convergence measurement, convergence/ divergence analysis was carried out by forming 3
different models for each analysis period and for 4 different groups.
The models of the convergence analysis are as follows:

Yi ,t
1  e  T 
1
log(
)a
Model 1 :
 log( Yi ,t T )  u i ,t
T
Yi ,t T
 T 

757

�2nd International Symposium on Sustainable Development, June 8-9 2010, Sarajevo

Yi ,t
1  e  T
1
log(
)a
Model 2 :
T
Yi ,t T
 T
Model 3 :

Yi,t :
Yi,t-T :
T
:
Di,t :
Ri,t :
ui,t :

Yi ,t
1  e  T
1
log(
)a
T
Yi ,t T
 T


 log( Yi ,t T )  cDi ,t  u i ,t


 log( Yi ,t T )  cDi ,t  dRi ,t  u i ,t


GDP per capita in the year t
GDP per capita in the starting year
Years passed through as of the starting year till the current year
Duppy variable which takes the value of 1 if the unemployment rate of
the region in the concerned year is lower than the average unemployment
rate of the group, and which takes the value of 0 in other cases.
The rate of R &amp; D ependitures in the GDP in the concerned year
Error term in the regression model

 coefficient was derived through the linear least – squares method and the coefficient was calculated
1  e   t 
b

 T  formula. (Note: t statistics in brackets).
by using

Period

Model 1


1995-2005
1995-2000
2000-2005

0,005
(-1,646)
-0,051
(1,58)
0,004
(-1,084)

R2
0,025
0,023
0,011

Model 2



c
0,008
0,004
(-2,403)
(2,317)
-0,009
-0,003
(2,048) (-1,315)
0,003
-0,002
(-0,674) (-0,706)

Model 3
R2
0,072
0,038
0,015



c
d
0,009
0,004
0,001
(-2,55)
(2,39)
(0,937)
-0,009
-0,003
-0,001
(2,205) (-1,315) (-1,072)
0,004
-0,001
0,001
(-1,027) (-0,539) (1,725)

R2
0,079
0,049
0,043

Table 1: Regression Results of the Regions in the 1st Group
Regression results of 109 observations in the 1 st group during 1995 - 2005 period according to 3 models
have been demonstrated in Table 1. When the  coefficient is examined in each 3 models with regard to the
convergence, it is seen that the values obtained are positive and are meaningful by 5% in the 2 nd and the 3rd models.
In the 2nd and the 3rd models, approximately 1% of convergence has been experienced per year during one decade.
This convergence is a conditional one.  coefficient is not different from zero in the 1 st model during 1995 – 2000
period and it is not possible to mention about the convergence nor the divergence.  coefficient is meaningful by 5%
in the 2nd and the 3rd models and there is a divergence. A divergence of approximately 1% per year has been
experienced during 5 – year period. Although the  coefficient is positive for 2000 – 2005 period as in the whole
period, it is not meaningful statistically. This result means that there is not convergence or divergence in the regions
in respect of second sub – period. Variables give more meaningful results in the regions of the 1 st group in the long –
term analysis.
Period

Model 1


1995-2005
1995-2000
2000-2005

-0,006
(0,809)
-0,029
(3,998)
0,003
(-0,469)

R2
0,018
0,308
0,006

Model 2


-0,006
(0,828)
-0,028
(3,783)
0,003
(-0,471)

c
0,003
(0,802)
0,001
(0,32)
0,002
(0,533)

Model 3
R2
0,036
0,310
0,014


-0,006
(0,919)
-0,030
(4,164)
0,002
(-0,381)

c
0,003
(0,822)
0,005
(1,0806)
0,002
(0,567)

Table 2: Regression Results of the Regions in the 2st Group

758

d
-0,004
(-0,976)
-0,01
(-1,721)
-0,005
(-1,495)

R2
0,062
0,365
0,075

�2nd International Symposium on Sustainable Development, June 8-9 2010, Sarajevo
In the 2nd group regions, when the results of each 3 models are examined for 38 observations during 1995
– 2005 period, it is indicated in Table 2 that none of the variables have a meaningful contribution statistically. 
coefficients are negative for each of the 3 models during 1995 – 2000 period, yet all the variables are meaningful
statistically, which is an evidence for divergence.  coefficient is meaningful by 1 % and there is a divergence of
around 3 % during 5 – year period. Although the duppy variable could not add explicity to the model, R &amp; D
expenditures could add explicity to the model. During 2000 – 2005 period,  coefficients for each 3 models are
positive and not different from zero. Here, point estimation cannot be an evidence for conditional convergence by
demonstrating that the value is small and meaningless and that convergence of each region to its own steady – state
income level has not been realized in distinct way.
Period

Model 1


1995-2005
1995-2000
2000-2005

0,012
(-2,66)
0,012
(-2,15)
0,023
(-4,236)

Model 2
2

R
0,112
0,076
0,243


0,016
(-3,02)
0,015
(-2,544)
0,019
(-2,991)

c
0,004
(1,39)
0,004
(1,371)
-0,004
(-1,042)

Model 3
2

R
0,142
0,107
0,257


0,0151
(-2,564)
0,015
(-2,232)
0,013
(-1,892)

c
0,004
(1,376)
0,004
(1,365)
-0,004
(-1,145)

d
0,0001
(-0,0119)
-0,001
(-0,0355)
-0,002
(-1,541)

R2
0,143
0,109
0,289

Table 3: Regression Results of the Regions in the 3st Group
Table 3 presents the results of each 3 models for 58 observations in the 3rd group regions during 1995 –
2005 period. For this period,  coefficient is different from zero and meaningful statistically in the 1 st model.
Besides, the fact that  coefficient is positive shows that there is convergence. It is observed that a convergence of
1.2 %, 1.6 % and 1.5 % was experienced in these 3 models respectively during this decade. The same results have
been obtained for absolute convergence and conditional convergence. During 1995 – 2000 period, it is seen that the
estimated  coefficient is positive and meaningful by 5 % for all the models. Absolute convergence and conditional
convergence has been experienced by 1.2 % of and 1.5 % respectively during this 5 – year period. Yet, the variables
added to the model are not explanatory variables. The findings of 2000 – 2005 period are in the same direction with
the findings of the first sub – period. In the 1st and the 2nd model,  coefficient is different from zero and is at 1 %
level; and it is at 10 % level in the 3rd model. It is seen that a convergence of 2.3 % was experienced per year in the
1st model during the 5 – year period. This convergence is an absolute one. It is observed that there is a convergence
of 1.9 % and 1.3 % per year in the 2nd and 3rd models respectively. This situation proves the existence of both
absolute and conditional convergence. The variables added to the model in this period are not explanatory variables.
Period

Model 1


1995-2005
1995-2000
2000-2005

0,002
(-0,295)
-0,021
(3,215)
0,016
(-2,15)

R2
0,002
0,210
0,106

Model 2


0,003
(-0,494)
-0,026
(3,908)
0,020
(-2,736)

c
0,004
(0,861)
-0,014
(-2,142)
0,016
(2,53)

Model 3
R2
0,021
0,295
0,235


0,009
(-1,365)
-0,026
(3,182)
0,026
(-2,832)

c
0,002
(0,466)
-0,014
(-2,118)
0,014
(2,163)

d
0,009
(1,696)
0,001
(0,141)
0,008
(1,043)

R2
0,092
0,295
0,257

Table 4: Regression Results of the Regions in the 4st Group
When the results of each 3 models for 41 observations in the 4 th group regions during 1995 – 2005 period
have been analysed, it has been found out that  coefficient is positive, but not different from zero. In the 1995 2000 period,  coefficients are meaningful by 1 % and have negative values. It is seen that a divergence of 2.1 % per
year is experienced in the 1st model during this 5 - year period. The same result has been obtained again by adding
the variables and a divergence of 2.6 % has been experienced per year. Here, while the duppy variable is
explanatory, the variable of R &amp; D expenditure rate can not add explicity to the model. During 2000 – 2005 period, 
coefficient is meaningful by 1 % in the 2nd and the 3rd models and by 5 % in the 1st model. It is observed that a
convergence of 1.6 % has been experienced per year and this convergence is an absolute convergence. It is seen that
a convergence of 2 % and 2.6 % per year has been experienced respectively in the 2 nd and the 3rd models, which is a
conditional convergence. It is observed that while the duppy variable is explanatory, there is not a clear conditional
convergence even a control variable for the R &amp; D expenditures is added. An explanation of this result is that R &amp; D
expenditures do not differ so much among the regions and the fact that the share of R &amp; D expenditures in the GDP
is high does not have a great influence on the convergence.
The regions in the 4 th group consist of the
countries recently participated in the EU. Though a very strong divergence was identified among these regions

759

�2nd International Symposium on Sustainable Development, June 8-9 2010, Sarajevo
during 1995 – 2000 period, a very strong convergence was identified during 2000 – 2005 period. This is mainly
affected by the fact that the EU accession processes of these countries coincided with the second sub – period.

Graph 1: Growth Rates and Starting Year Logarithmic GDP per capita levels of the Regions in the
1st Group (1995-2005)

Graph 2: Growth Rates and Starting Year Logarithmic GDP per capita levels of the Regions in the 2 st
Group (1995-2005)

Graph 3: Growth Rates and Starting Year Logarithmic GDP per capita levels of the Regions in the 3 st
Group (1995-2005)

Graph 4: Growth Rates and Starting Year Logarithmic GDP per capita levels of the Regions in the 4st
Group (1995-2005)

760

�2nd International Symposium on Sustainable Development, June 8-9 2010, Sarajevo
Standard deviation of GDP per capita figures is calculated and its fluctuation over time is examined for
the measurement of  convergence.  convergence has the tendency to reveal  convergence. Although 
convergence is necessary for  convergence, it is not an adequate condition. If there is  convergence in a region, it
means that the income inequity is decreasing in that region and it is an evidence for the existence of a tendency for
the equalization of income per capita. Table 5 presents the averages and the standard deviations of logarithmic GDP
per capita of each group on the basis of years. It is seen in the 1 st group regions that the standard deviation expansion
was growing and divergence was experienced in time during 1995 – 2000 sub-period. Yet, while the standard
deviation of GDP per capita was 0.26 in 1995; it is observed that the standard deviation expansion did not grow over
time in 2005, in other words divergence was not experienced, which confirms the existence of convergence. It is seen
in the 2nd group regions that the expansion grew over time even if just a bit. It is possible to mention about the
existence of convergence throughout all the periods for the 3 rd group regions. It is observed in the 4th group regions
that the standard deviation expansion grew as of 1995 – 2000 period and declined during 2000 – 2005 period. It is
possible to mention about the existence of convergence during that decade. There is not any differentiation between
the results of  convergence and those of  convergence.
On the basis of the results of convergence analyses, it can be stated that a convergence process was
generally experienced among the regions in the EU during the examined period and that process was rather a slow
one.
the Regions in the the Regions in the the Regions in the The Regions in the
1st Group
2st Group
3st Group
4st Group
Average

Standard
Standard
Standard
Standard
Average
Average
Average
Deviation
Deviation
Deviation
Deviation

1995 9,73
0,26
9,64
0,21
9,53
0,28
8,81
0,40
1996 9,77
0,26
9,70
0,21
9,58
0,28
8,86
0,43
1997 9,81
0,26
9,77
0,22
9,64
0,27
8,92
0,44
1998 9,85
0,25
9,81
0,23
9,69
0,27
8,97
0,43
1999 9,90
0,26
9,85
0,23
9,75
0,27
9,01
0,45
2000 9,95
0,26
9,93
0,24
9,80
0,28
9,08
0,44
2001 9,98
0,26
9,97
0,24
9,84
0,27
9,14
0,44
2002 10,01
0,25
10,01
0,24
9,89
0,26
9,20
0,44
2003 10,01
0,26
10,04
0,24
9,91
0,26
9,25
0,42
2004 10,04
0,26
10,10
0,24
9,95
0,27
9,32
0,42
2005 10,07
0,26
10,11
0,24
9,99
0,26
9,39
0,42
Table 5: Average and Standard Deviation of Logarithmic GDP per capita for each group in

terms of years

Conclusion
Whether the socio - economic development disparities will decrease in the EU regions in the course of time
or not is an important subject. Particularly GDP per capita figures and GDP variation coefficients, and variables
revealing economic and social disparities and structural disparities may be utilised in order to determine this.
Whether these disparities are increasing or decreasing can be explained through the convergence or divergence of the
examined regions or countries to/from each other. The concept of convergence for the EU means that economic
disparities between the member states and the regions of the Union is decreased and their economic performance
levels are drawn closer to each other as far as possible on a higher common ground rather than a lower one. Along
with the impact of new regionalism concept, it is becoming more important that inter – regional development
disparities are eliminated by improving the growth rates of under-developed regions effectively and ensuring
convergence.
During 1995 – 2005 period, a convergence process, albeit a slow one, was experienced in the regions of the
EU. After 1990s, the changes in the regional policies and the new formations in the EU have started to achieve the
objectives. However, the convergence results have been evaluated separately for each group. For instance, in the 4 th
group regions consisting of the very recent members of the EU, although it has been determined that there was a
strong divergence during 1995 – 2000 period, it has been found out that there was a strong convergence during 2000
– 2005 period which coincides with their EU accession processes. On the basis of the results of convergence

761

�2nd International Symposium on Sustainable Development, June 8-9 2010, Sarajevo
analyses, it can be stated that a convergence process was generally experienced among the regions in the EU during
the examined period and that process was rather a slow one.
Whether the socio - economic development disparities will decrease in the EU regions in the course of time
or not is an important subject. Particularly GDP per capita figures and GDP variation coefficients, and variables
revealing economic and social disparities and structural disparities may be utilised in order to determine this.
Whether these disparities are increasing or decreasing can be explained through the convergence or divergence of the
examined regions or countries to/from each other. The concept of convergence for the EU means that economic
disparities between the member states and the regions of the Union is decreased and their economic performance
levels are drawn closer to each other as far as possible on a higher common ground rather than a lower one. Along
with the impact of new regionalism concept, it is becoming more important that inter – regional development
disparities are eliminated by improving the growth rates of under-developed regions effectively and ensuring
convergence.
During 1995 – 2005 period, a convergence process, albeit a slow one, was experienced in the regions of the
EU. After 1990s, the changes in the regional policies and the new formations in the EU have started to achieve the
objectives. However, the convergence results have been evaluated separately for each group. For instance, in the 4 th
group regions consisting of the very recent members of the EU, although it has been determined that there was a
strong divergence during 1995 – 2000 period, it has been found out that there was a strong convergence during 2000
– 2005 period which coincides with their EU accession processes. On the basis of the results of convergence
analyses, it can be stated that a convergence process was generally experienced among the regions in the EU during
the examined period and that process was rather a slow one.

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                    <text>2nd International Symposium on Sustainable Development, June 8-9 2010, Sarajevo

Overview of Human Capital In Turkey In The EU Process In Terms Of
Education: An Analysis On The Axis Of Development Plans
AyĢen ALTUN
Dumlupinar University,
Department of Economics,Turkey
aysenaltun@mail.dumlupinar.edu.tr
Ceren GĠDERLER ATALAY
Dumlupinar University,
Department of Administration ,Turkey
giderler_ceren@hotmail.com
Abstract: In the information age, countries that are considered to be developed owe their
technological and economic advancement to their investments on human resources. Positive values
that emphasize humane characters such as knowledge, skill, experience and dynamism are seen as
human capital. These values, by ensuring more effective use of other factors used in production,
increase the rationality in economic activities and enable the national economy to develop faster.
Development plans have become much more important and necessary due to the multidimensional and
rapid transformation, intensifying competition and increasing uncertainties. Turkey in the EU
accession process attaches high importance to the human capital factor in its development plans due to
the high density of young population it has. The aim of this study is to evaluate the human capital
element in the framework of development plans which have been prepared by Turkey, a candidate of
EU membership, from past to present. In this study, human capital element has been evaluated on the
basis of the ―education sector‖ that is considerably important due to its positive impacts on the
development process. As a result of the comparisons between the EU and Turkey, the necessary steps
and suggestions to be followed by Turkey as regards to human capital establish the scope of this
research.

Introduction
Achievement of a desired growth rate in a country is depended on the efficient use of all economic
resources consisting of development and international competitiveness, physical capital and human capital.
Countries that can use their human capital effectively and obtain sufficient quality for their human capital are
regarded as advantageous countries in the global competition environment. As the physical capital in Turkey is
limited, it has always been significant to adapt especially the unlimited source of human capital to the
requirements of the economy. Therefore, it is of vital importance to evaluate the human capital aspect which is
overemphasized in development plans in Turkey and to compare it with those in the EU.
In this study, at the outset, "development plans" and ―human capital‖ concepts in Turkey are explained
theoretically. Thereafter, the place of human capital is evaluated in the framework of all development plans and
the human capital in Turkey and in the EU is compared in terms of ―education‖. Finally, some suggestions are
made for Turkey.

Development Plans in Turkey
Turkey passed to planned period after 1960. Until the planned period, it had been aimed to achieve
regional development in the leadership of State incentives and private sector via Ġzmir Economic Congress and
Law for the Encouragement of Industry (Ergun, 2004, pp.72-74). However, due to the fact that the private sector
could not make leadership because of undercapitalization revealed that this idea could not be realized. In the
1960s, regions were tried to be supported in the framework of the plans by taking into consideration the factors
they already had in the beginning (Karluk, 2004, p.47). Nine Development Plans have been put into practice
under the planning authority of State Planning Organisation. The most prominent characteristic of planning
approach in Turkey is that it is mandatory for the public sector and instructive for the private sector.
Development plans have objectives, such as ensuring capital accumulation, reaching a stable and high growth
rate, mitigating the regional differences and integration with the world and improving human resources.
The first plan of industrial policy is the First Five Year Development Plan (1963-1967) which is
considered as the beginning of implementation of Etatism. It was expected to maintain an increase in
consumption products and the signals of import substitution were given with this Plan. It was considered that the

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import substitution would have to be carried out systematically by the State. In the First Five Year Development
Plan, it was emphasized that the allocations of public investments had to be organised according to the regions in
order to achieve equal opportunities and inter – regional balance in the country (I.BYKP, 1963, pp.57-58).
Priority was attached to the national plan and the heavy industry in the Second Five Year Development Plan
(1968-1972). The importance of using regional planning as an efficient instrument was highlighted (Dinler,
2001, p.194). Unlike the first two plans, the Third Five Year Development Plan (1973-1977) gave place to the
development of priority regions for development instead of regional planning (Mengi and Algan, 2003, p.261).
The long – term targets of this plan were improving the standards of living, industrialisation, decreasing the
dependence on foreign resources, solving unemployment problem, and improving income distribution. The
Fourth Five Year Development Plan (1979-1983) coincided with the foreign expansion period. It was decided
that the rapid industrialisation would continue. It was aimed to increase exports in this plan which was in the
transition period (IV.BYKP, 1979, pp.656-671 &amp; Ekzen, 2009, p.48). It was determined to establish Organized
Industrial Zones in the Fifth Five Year Development Plan (1985-1989). 16 regional development centres were
designated. During this planning period, the strategy based on outward – oriented exportation manifested itself
further (Özaslan and Akpınar, 2005, p.237). The Sixth Five Year Development Plan (1990-1994) and the plans
in the aftermath period have been prepared under the influence of the EU as a result of the relations with the
Union. The expression of regional planning gave its place to regional development in the Sixth Five Year
Development Plan. The 16 regions in the Fifth Five Year Development Plan were left aside and regional
planning was shifted to the priority regions for development. The main target of the plan was to increase welfare
level in an independent and secure environment in line with the principles and fundamentals of open society and
competitive economy (VI. BYKP, DPT, 1989, pp.318-358). The Seventh Five Year Development Plan (19962000) gave an extensive place to the adjustments concerning regional development, provincial planning and
metropolitans under the title of achieving regional balances (VII. BYKP, 1995, pp. 170-184). This plan is the
first plan prepared after joining the Customs Union. The Eighth Five Year Development Plan (2001-2005)
envisaged a balance between development policies and regional development policies. The Plan was based on
the principles of sustainability, inter – regional integration, achievement of social and economic balances,
improvement of standards of living, equal opportunities, cultural development, and participation in the
implementation of regional policies. Furthermore, the studies for the Provincial Development Plans, which are in
harmony with the regional plans, were initiated on the basis of the provinces ( VIII. BYKP, 2000, pp.63-87). The
Ninth Five Year Development Plan (2007-2013) coincided with a period during which multi - dimensional and
rapid changes were experienced. The Plan has been prepared during the EU adaptation process as the main
strategy document which will contribute to the membership process taking into account the characteristics of the
transition period (IX. BYKP, 2008, p.16).

The Concept of Human Capital
Human capital is defined as the total of values such as experience, work experience, knowledge and
skills of the individual participating in the production, in other words of the labour force.
In the studies of Mincer, Becker, Nelson and Phelps (1996) and many other scholars, it is explained that
human capital has an essential role for the economic development. This fundamental role has been more clearly
explained in the researches carried out since 1980s and Lucas (1998) concluded that there is a positive relation
between the long – term development and human capital. According to the model developed by Mankiw, Romer
and Weil (1992), it is indicated that human capital is a much more important production factor than the physical
capital and labour elements in the framework of the neoclassical thinking (Boughanmi, 2009, p.252). Theory of
human capital focuses on the education concept basically and declares that education influences the experience,
beliefs, perceptions and motivations of the human (Merwe, 2010, p.108).
According to the development theory, human capital forms the fundamental element of development.
The investments to be made in education, health and nutrition for developing the human capital affect the
productivity at micro and macro levels and the earnings. Investments made into education at the state, firm and
individual levels in line with the returns of education investments, which are more measurable than the other
human capital investments and accepted as considerably significant due to their positive impacts on socio economic development process, is of vital importance (Tunç, 1998, p.83).

The Place of Human Capital in Development Plans
First Five Year Development Plan: The Plan accepted human capital as man power and attached the
maintanence of growth rate to the qualified man power. It was specified that training qualified people could be
enabled by giving priority to education and training. In this direction, the issues of human capital, employment
and education were dealt with interdependently and concomitantly. Using human capital in the most productive
manner possible was identified as the most important target by highlighting the fact that individuals should

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benefit from possibilities of education according to their capabilities. Long - term projects were developed to
achieve this target (I.BYKP, 1963).
Second Five Year Development Plan: ―Human‖ factor appeared in the Plan as a significant element for
economic development. As in the first plan, the Second Plan also dealt with human capital as a source of power
and the issues of human capital,employment, education, science and research were discussed interdependtly and
concomitantly. The aim was to put forward the best and most productive ways of using human capital resource
to achieve economic and social targets and eliminate human capital bottleneck in the long – term. In this
planning period, it was further emphasized that "human" is a quantitatively limited resource. Therefore, a
working policy was determined in order to use this limited qualified human capital in a productive manner. In
this Plan, programmes were prepared in order to solve the problems of inequal inter – sectoral distribution of
human capital and incapacity of using human capital aptly as well as the problems concerning lack of qualified
and quantified human capital in the medium and long – term. In these programmes, instruments such as the job
evaluation technique, transfers, retraining, assignments, in-service training, incentive possibilities, opportunities,
organisation and method units were used. Moreover, an extensive education policy was developed in order to
generalize training with the aim of improving the quality of human capital. In this policy, several programmes
were put into practice such as training the personnel having higher education diploma abroad and increasing the
literacy rate in order to train qualified labour force (II.BYKP, 1968).
Third Five Year Development Plan: During this planning period, even though the human capital reached
the desired level in terms of quantity, it was not at the desired level in terms of quality and the proper usage. In
the Plan, many targets like education, health, industrialisation targets were based on the human capital
requirements. It was tried to provide consistency between fundamental policies such as employment, wages
policy, research environment and working conditions in order to find solutions to the problem of qualified labour
force migration. All the problems in the first two plans, except for the quantitative increase of "human capital"
problem, continued. In this Plan, it was stated that it was necessary to train individuals sufficiently qualified to
implement the technology transferred into the country. Besides, the main reasons of the problems appeared in the
field of "human capital" were put forth and studies to eliminate these problems through some instruments like
wages and employment policy, and new programmes were carried out (III.BYKP, 1972).
Fourth Five Year Development Plan: During this planning period, the amount of human capital increase
quantitavely. Yet, this increase did not create a balanced development between the levels. In this plan, priority
was given to the training of qualified human capital needed for the use of technical assistance capacities. As long
as the qualified human capital requirement needed by the economic and social development was fulfilled,
technical assistance was transferred to the projects that would positively influence the social and economic
development. In the Plan, appropriate and productive use of human capital in the employment and wages
policies, and elimination of inter – sectoral and inter – regional disparities of human capital distribution were
especially taken into account. Legal adjustments, especially for the compulsory working procedures of higher
education graduates, were made in order to decrease inter – regional labour force disparities in the regions where
qualified labour force was required. In the scope of the plan, taking care of the human health is at the forefront in
order to assess the human capital in the most productive way possible (IV.BYKP, 1979).
Fifth Five Year Development Plan: Projects to increase the employment rate of young human capital
were prepared in the Plan. Human capital planning consistent with the macro - model and the employment
distribution were prepared. In this planning period, the quantity of highly educated human capital increased to
the desired level. It was given priority to the training of intermediate level technical human capital. The
employment of qualified and experienced human capital in the sectors and the regions was enabled via the
improvements in the wages policy and the working conditions. (V.BYKP, 1984).
Sixth Five Year Development Plan: This Plan focused on the training of specialised labour force
required in the field of information technology and it was decided to make a human capital planning which
responded the qualified labour force need of the economy for the contunity of the growth. The requirement for
taking necessary measures as the insufficiencies continued in the rational use of human capital resources was
emphasized as well as the issues of making necessary adjustments to improve the cooperation between the
universities, industrial vocational high schools and the industry so as to meet the qualified human capital
requirements. It was mentioned that economic and social development could be ensured merely through well
trained and educated human capital (VI.BYKP, 1989).
Seventh Five Year Development Plan: The Plan covered the issues of improving the qualities of labour
force according to the demand and making a coherent labour force market organisation in the policies related to
employment and human resources, training of human capital that could internalize the national values, open to
universal values, contribute to the information generation and use the information creatively since the well
trained young population would be the greatest advantage for Turkey in the 2000s. It was mentioned in the plan
that development of human resources was of vital importance for the institutional arrangements that could solve
social problems, it was aimed to develop human resources through Structural Transformation Projects that would
be realized in the plan at first, the economic and social development should be maintained, the social and

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individual welfare level should be increased, and the natural and human resources should be used efficiently. In
this framework, it was declared that well trained human resource increased the competitiveness of Turkey which
was increasingly opening up to the world on the one hand, and on the other hand, it influenced the fact that
Turkey could get a larger share from the added value created by the EU. According to the Plan, it was considered
that investing in the human was the most productive way of investment and had a significant contribution for the
rapid and sustainable economic growth and social development in Turkey having a young and dynamic
population structure. Therefore, it was aimed at mobilizing all the possibilities that could be used in order to
develop human resources in every period beginning from the pre - school period up to the post - retirement
period as well as to develop and generalize the training of human capital in all age groups. It was
overemphasized in this planning period that the most improtant sector was the education sector and it was also
mentioned that well trained young population would be the most important advantage for increasing the
competitiveness of Turkey and for her integration to the EU. The characteristics of well trained human capital
were identified as having developed skills of thinking, perception, and problem solving; being open to the
outside world, universal values and new ideas; having a developed personal responsibility feeling and developed
social sensitivity; being prone to science and technology production; and having a high level of skills. In the
Plan, it was referred that human capital was the most important resource of Turkey and therefore, the primary
source of all kinds of breakthroughs was the human capital. The key role was given to human capital especially
to increase the science and technology skills. In this respect, human capital was evaluated as an important
strategic resource (VII.BYKP, 1995).
Eighth Five Year Development Plan: The element of information society was particulary focused in the
Plan and it was emphasized that the quality of the labour force was needed to be improved as the information
was the most important production factor in the process of information society formation. Hence, it was
indicated that the greatest contribution for the development of developing countries in the 21 st century would be
investing in the human resources and improving the infrastructure. It was stated that the countries which could
adapt to the rapid changes in the world, equip people with the qualities required by this new environment, access
and produce information, and use this information would be effective and successful. Besides, the fundamental
principle in the Plan was to improve human capital qualitatively, increase the living standards, and eliminate the
disparities in these fields between the regions and the settlements. As mentioned in the preivous Plan, rapid
development of the qualities of human capital which is one of the main elements of international competitiveness
and particularly the improvement of cultural features maintained its importance in this Plan. Moreover, the Plan
aimed the evaluation of human capital as a strategic resource and adjustment of human capital so that it would
have problem solving and creative features (VIII.BYKP, 2000).
Ninth Five Year Development Plan: When the fundamental principles of the Plan are regarded, it is
observed that a human focused development and management conception forms the basis of the Plan. Hence, in
order to train qualified human capital which is the most significant issue, it was stated in the Plan that
educational possibilities should be extended, effective measures should be taken for traning the human resources
required by new tasks and responsibilities, in this scope the number of especially qualified personnel should be
increased in the public sector, and necessary measures should be taken for the continuous training of the existing
personnel. During the planning period, it was decided to establish excellence centers at several universities in
many strategical fields. Besides, the projects focused on training scientists and multi-partnered and
interdisciplinary projects have been commenced to be supported respectively since 2002 and 2004. In 2005,
―Scientist Training and Development Programme‖ was initiated in the scope of ―Turkey Research Field
Programme‖ implemented by TÜBĠTAK (The Scientific and Technological Research Council of Turkey). It was
also mentioned in the Plan that there was a need for dealing with development agencies as an integrated regional
development programme triggering local initiatives by benefiting from the common cooperation platform. In this
scope, development of new policies to improve human resources was also drawn attention. It was also
highlighted in the Plan that it was necessary to make an efficient human resources planning in the public
institutions and authorities to achieve a competent level for the public staff, give sufficient in - service training to
the public staff and achieve a desired level for the public staff in terms of knowledge and skills that would enable
them to carry out their tasks productively. It was emphasized that the fact that the promotion issue of public
employees had not been clearly and sufficiently defined in the legislation, there was not an effective awarding
system in the public sector, and there was inequalities in the wages influenced the self – improvement of public
employees negatively. "Investigator human capital" concept was touched upon in the Plan and referred that it
was required to develop investigator human capital qualitatively and quantitatively and encourage investigator
employment in the private sector. In this context, via the training programmes, it was aimed at training labour
force that is prone to technology production and Research &amp; Development. The other elements expressed about
the human resources are as follows: in order to achieve social development; developing information systems
about the labour force market, achieving a more flexible structure in the education and labour force market,
training human capital demanded by the economy taking into consideration the life long training strategy in
order to increase the employment level and the productivity of the labour force, training high – skilled,

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productive and creative information age people having developed conception, perception and problem solving
skills, open to new ideas, having personal responsibility feeling, contributing to the contemporary civilisation,
prone to the use of science and technology and production, and appreciating art (IX.BYKP, 2006).

Comparative Analysis of Human Capital in the EU and Turkey in terms of Education
Human capital defines in the EU as the abilities, knowledge and skills embodied in people and acquired
through education, training and experience. The European Council of Lisbon, by setting for the EU the overall
goal to become the most competitive and dynamic knowledge based economy in the world, has set human
capital at the heart of its development strategy (http://ec.europa.eu/).
EU attaches great importance to ―education‖ so as to increase the human capital qualitatively. The
cooperation in the filed of education between the EU and Member States came to agenda with Lisbon Strategy in
2000. Although there is not one single educational policy in the EU, there exists an exchange of opinions and
implementations in this field between the member states. The opportunities offered by EU education
programmes cover the introduction and implementation of new technologies in the education sector, exchange
programmes, education opportunities abroad, and mutual recognition of diplomas. The education policy also
covers the cadres of teachers, students, administrators in the education sector, academicians, and specialists.
Thanks to her young population, Turkey will be a source for some part of the human capital needed by
the EU. This can be achieved by developing human capital not only quantitatively but also qualitatively.
Developing human capital qualitatively is possible through "education". The first introductory screening meeting
of the Membership Negotiations, started in 2005 between Turkey and the EU, was realized under the Education
and Culture Chapter. Furthermore, Turkey has signed "Culture 2000" programme of the EU in order to support
the projects to be carried out in the field of education and culture. The EU negotiation process puts forward the
human capital issue and offers opportunities for human capital development. It is indicated in the last
development plans that the issues concerning the EU should be concentrated on especially in the higher
education programmes in order to provide in – service training for the public staff and train the qualified human
capital to be needed by Turkey during the EU integration process. Within the context of Bologna Process,
significant works, particularly in the field of exchange of students and academic members, European Credit
Transfer System and diploma supplement, have been carried our in the field of higher education.
Increasing the number of graduates for the labour force and eliminating the education needs of children
who are in need of special education as soon as possible are among the titles emphasized in the Progress Reports
published by the EU for Turkey,
Level of education

Young workers (15-24)

Low
Medium
High

3.4
5.8
1.2

Prime-age (25–54) and
older workers (55–64))
20.8
43.8
25.0

Table 1 : Highest education level attained in the EU, 2007 (share in total employment as %)
Resource: Eurostat

Table 1 presents the employment rates in terms of education levels in the EU compared with the total
employment rates in the EU. If it is needed to evaluate the situation in Turkey within the same year, 63.2 % of
the labour force is composed of the sub – medium level educated people and the illiterates. Moreover, 14.7 % of
the labour force in Turkey consists of the college and faculty graduates. Again, in 2007, whereas the percantage
of the population aged 25 to 64 having completed at least upper secondary education is 70.8 % in the EU 27, this
rate is 25.8 % in Turkey.

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Years

EU 27

Turkey

2000
2003
2006
2000
2003
2006

Public Expenditure
on Education as %
of GDP

4.88
5.14
5.04
2.59
2.96
2.86

Financial aid to
Pupils and Students
as % of Total
Public Expenditure
On Education
5.2
5.6
6.0
3.1
4.8
6.9

Ratio of Students to
Teachers
and
Avarege Class Size

13,5
13,1
12,7
25.4
23.7
23.2

Table 2: Comparasion Avarage EU 27 and Turkey
Resource: Eurostat
Table 2 has been prepared to compare the EU and Turkey in terms of important ratios of education.
While the public expenditure in Education in % of GDP was 4.88 in the EU in 2000, this rate increased to 5.04 in
2006. On the other hand, this rate was 2.59 in Turkey in 2000 and increased to 2.86 in 2006. While the highest
rate among the EU countries belongs to Denmark, the lowest one belongs to Romania. Financial aid to Pupils
and Students as % of Total Public Expenditure on Education in Turkey is at the average of the EU. It is seen that
the amount of financial aid in Turkey increases by years. Denmark and Norway are the countries having the
highest contribution rate whereas Poland and Switzerland have the lowest contribution rate. When the Ratio of
Students to Teachers and Avarege Class Size is examined, it is observed that this rate which is considerably
important for the qualified education owing to the lack of trainers in Turkey is over the EU average. The
Member States of the EU float at the average of the EU in this ratio.

Conclusions
It has been emphasized in all the development plans in Turkey that human capital is of utmost
importance and it is necessary to develop this capital. Thus, the education level of human capital has been
improved in every passing planning period. Nevertheless, there are some shortcomings in the implementation;
and the investments in the human capital and the budget share allocated to education services in Turkey still
continue to be lower than the EU average. This situation creates an important problem in Turkey which requires
high quality and high - skilled human capital. The starting of compulsory 8 – year education, the increase in the
number of universities have been important steps in Turkey in terms of human capital accumulation and
development. Turkey has a young population structure. Putting this young population through a high quality
education and training system will not only meet the qualified labour force need of Turkey in the long term but
also that of the EU which has a gradually aging population structure. In order to achieve this development, it is
essential to ensure that low – income groups benefit from education services more by improving the quality and
extensiveness of education services in Turkey. Otherwise, the EU will not regard this young population as a new
source of blood for their economies, but as an unqualified unemployed army that will flood in their countries.
Additionally, Turkey will not be able to have the capacity to compete in the EU market operating according to
the free market conditions in the event of a potential full membership.
The accession process to the EU offers some opportunities to develop the human capital in Turkey.
Some of the more visible opportunities are the new financial resources that will be transferred from the EU for
education services and the possibility of participating in the international academic exchange programmes. The
opportunities, which are less visible but which have great importance for a permanent change, offered by the
accession process are composed of the speed gained in the restructuring process of the ongoing education and the
possibility of benefiting from the good examples implemented in Europe within this process.
In conclusion, Turkey has not the same development level in terms of human capital compared with
the EU countries. Turkey has to put into practice structural measures that will increase the quality of the human
capital in order to catch up with the EU level. The investments made into human, especially in the "education",
have to be increased and approximated to the level of the EU countries. In Turkey, the priorities in the allocation
of resources have to be determined more rationally and more financial resources have to be allocated for
education services from the budget.

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Özaslan, M. &amp; Akpınar R. (2005). Türkiye‘de Bölgesel GeliĢme Politikaları. I. Doğu Anadolu Sempozyumu, Elazığ.
Tunç, M. (1998). Kalkınmada Ġnsan Sermayesi: Ġç Getiri Oranı YaklaĢımı ve Türkiye Uygulaması. Dokuz Eylül Üniversitesi
Ġktisadi ve Ġdari Bilimler Dergisi, C.13, S.1.
http://ec.europa.eu/social/main.jsp?catId=643&amp;langId=en. (29.04.2010).
http://epp.eurostat.ec.europa.eu/portal/page/portal/statistics/search_database. (29.04.2010).

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�</text>
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                <text>Overview of Human Capital In Turkey In The EU Process In Terms Of  Education: An Analysis On The Axis Of Development Plans</text>
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                <text>ALTUN, Ayşen
GİDERLER ATALAY, Ceren</text>
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                <text>In the information age, countries that are considered to be developed owe their  technological and economic advancement to their investments on human resources. Positive values  that emphasize humane characters such as knowledge, skill, experience and dynamism are seen as  human capital. These values, by ensuring more effective use of other factors used in production,  increase the rationality in economic activities and enable the national economy to develop faster.  Development plans have become much more important and necessary due to the multidimensional and  rapid transformation, intensifying competition and increasing uncertainties. Turkey in the EU  accession process attaches high importance to the human capital factor in its development plans due to  the high density of young population it has. The aim of this study is to evaluate the human capital  element in the framework of development plans which have been prepared by Turkey, a candidate of  EU membership, from past to present. In this study, human capital element has been evaluated on the  basis of the ―education sector‖ that is considerably important due to its positive impacts on the  development process. As a result of the comparisons between the EU and Turkey, the necessary steps  and suggestions to be followed by Turkey as regards to human capital establish the scope of this  research.</text>
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                    <text>2nd International Symposium on Sustainable Development, June 8-9 2010, Sarajevo

The Role of Public and Private Investment to Ensure Sustainable
Macroeconomic Stability in Turkey
Ömer Faruk ALTUNÇ
Mugla University, Department of Economics, Mugla,
Turkey
ofaltunc@mu.edu.tr

Bilge ġENTÜRK
Mugla University, Department of Economics, Mugla,
Turkey
bilge.senturk@hotmail.com

Abstract: Private investment plays a vital role to promote sustainable economic growth and to reduce poverty in
developing countries. The idea of using private sector investments intensively to boost growth in Turkey has started to
emerge after 1980s. Despite a sizeable empirical literature, the impact of public investment in the developing countries
gives inconsistent results on whether it complements or crowds out private investment. This paper makes use of Blejer
and Khan Model (1984) for Turkey over the 1980-2009 periods estimating the effect of public investment on private
sector. We employed time series analysis in this study. Our findings support the hypothesis that GDP growth stimulates
private investment while public investment and private investment are complementary. The other finding of the study is
that credit constraint is an important determinant of private investments in Turkey.
Keywords: Private investment, Blejer and Khan Model, Crowding out/in, ARDL model.

Introduction
Private investment plays a vital role on the process of growth in developing countries. Even though private
investment represents a small component of aggregate demand compared to consumption expenditures, it determines
the rate of physical capital accumulation. Therefore private investment is a significant determinant for the expansion
of production capacity and long run economic growth (Chibber et al., 1992).
Blejer and Khan (1984) emphasize that public investment crowds out private investment because the public
sector uses the limited physical or financial resources which are necessary for the production of private sector and it
produces good and services which can also be produced by the private sector. Besides, they emphasize that the way
of borrowing, taxing and inflation to finance the public investments crowd out private investment. Instead, supplying
the infrastructural public investment and public goods can complete the private investments. This kind of public
investment can develop the private investment opportunities and increase capital productivity. The investment
behaviour is analyzed by using formal models in developed economies such as ‗Accelerator model‘, ‗Tobin‘s q
theory of investment‘, ‗Neoclassical flexible accelerator theory‘. Because of the institutional problems and data
constraints in Turkey and also in other developing countries, application of these models on these countries is very
difficult if not impossible. Sundararajan and Thakur (1980), Wai and Wong (1982) and Blejer and Khan (1984) tried
to develop applicable investment models for developing countries.
The empirical literature is developed on two approaches which depend on the relationship between private
investment and public investment. The first approach is based on the crowding out effect in which public investment
expenditure decreases private investment. The second approach is that private investment and public investment are
complements (crowding in) rather than rival to each other. Grene and Villanueva (1984) and Seven and Solimano
(1991) find out a complementary relationship between public and private investment in developing countries. For
African Countries Oshikayo (1994) and for developing countries Blejer and Khan (1984) give empirical evidence for
the complementary relationship only between infrastructural public investment and infrastructural private
investment. Nazmi and Ramirez (1997) shows that public investment crowds out private investment in Mexico. For
the period of 1963-1993, Ghali (1998) finds that public investment has a negative effect on private investment in the
short run while it has both negative and positive effect on economic growth and private investment in the long run
for the Tunisian economy. The study of Ahmed and Miller (1999) for the OECD countries shows there is a negative
relationship between public and private investment however there is a positive relationship between private

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�2nd International Symposium on Sustainable Development, June 8-9 2010, Sarajevo

investment and government expenditures on transportation and communication. Ghura and Godwin (2000) shows
that public investment crowds in private investment in Sub-Saharan African countries and there is a negative
relationship between public and private investment in Asian and Latin American countries. Narayan (2004) tests
whether public investment crowds out private investment for Fijian Economy for the period of 1950-2001. He
focuses on two different periods as a complementary relation between public and private investment for the period of
1950-1975 and a weak relationship between public and private investment for the period of 1976-2001.
The empirical findings show that the results differ across countries. The studies on the same countries have
different results. The empirical studies on Turkey have different findings for the crowding in and crowding out
hypothesis. Ismihan at al. (2002) emphasize that after the 1970s the relationship between public and private
investment has started to show no clear relationship. After 1980s, the crowding in effect of the investments has
reversed by the macroeconomic inconsistency and the growth of financial deficit. Taban and Kara (2006) finds out
there is not any complementary relationship between public and private investment for the period of 1989:1 and
2004:4. Moreover, they focus on the effect of domestic public borrowing which crowds out private investment.
Simsek (2003) studies the effect of different kinds of government expenditure on private investment. His empirical
findings for the period of 1970-2001 show that government expenditure has crowding out effect on private
expenditure. Bilgili (2003) analyzes the short run and the long run effects of financial policy for the period of 19882003 and he reaches the supporting results for both the crowding in and crowding out hypothesis. Kustepeli (2005)
tests both direct and indirect effects of the government expenditures between 1963 and 2000. The results indicate
that the real government expenditures crowd in real private investment while the real budget deficit crowds out
private investment. Yavuz (2005) found evidence that public investment crowds in private investment for the period
of 1980-2003 in Turkey.
In this study, based on the Blejer and Khan Model (1984), the effects of the infrastructural and noninfrastructural public investment on private investment for the period of 1980-2009 are investigated by employing
the time series techniques. This study will fill an important gap in the literature because there has not been any study
that takes into account the effects of the infrastructural and non-infrastructural public investment on private
investment.

Economic Model
Blejer and Khan (1984) investigate the relationship between public and private investment in developing
countries and also they focus on the determinants of these investment categories. The model has two important
policy variables. The public investment and the banking credits for the private sector are considered in the model
which is associated with private investments. The model enables us to see the effects of government expenditure on
inflation, rise of wages and crowding out effect. One of the contributions of the model is that it categorizes the public
investments by two types as infrastructural and non-infrastructural investments. Moreover, Blejer and Khan (1984)
assume the private investment is affected by the public investment categories in different ways. The starting point of
Blejer and Khan model for the partial adjustment gross investment model is,
(1)
PI   ( PI *t  PI t 1 )
or
PI t  PI *t  (1   ) PI t 1

(2)

PI shows the level of domestic private investment, PI* shows the required level of domestic private
investment , t is the time period and β is adjusting coefficient (0    1). The actual capital stock, which affects β,
adjusts required level and the actual level in t-1 period. When there is a nonstationary process, the required level of
private investment will be,
(3)
PI *t  1  (1   ) LCS *t
CP* represents the required capital stock which is associated with output level in the next periods.
(4)
CS *t  aYt
Combining equations (1) and (4), we get,

(5)
PI t  a 1  (1   ) LYt  (1   ) PI t 1
For the estimation of such a functional structure, domestic private investment is the only data to be need.
Blejer and Khan (1984) denote there are three important factors affecting private investment such as business cycle,
the available credits for private sector and the level of public investment. The net effect of public investment on the
private investment depends on the size of the crowding out effect and the complementary effect between public and
private investment. Crowding out effect is measured by unexpected change in banking credits for the private sector

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�2nd International Symposium on Sustainable Development, June 8-9 2010, Sarajevo

(UPC ) which is counted as the difference between the real value and the one-year lagged value of private
investments. Adjusting coefficient, β, depends on public investment (GI) and the unexpected change in the banking
credits for the private sector:
(b UPCt  b2 GI t )
  b0  1
( PI t*  PI t 1 )
(6)
Substituting (6) into equation (2) we get:
(7)
Following
PI  b0 ( PI t*  PI t 1 )  b1UPC  b2GI t
Blejer and Khan, it can be shown that:
PI t  b0 aYt 1  (1   )Yt 2   b1UPC  b2GI t  b3 GI t  (1  b0 ) PI t 1 (8)
The effects of public policies on private investment are found by estimating the coefficient of the credit to the private
sector (b1) and public investment (b2 ve b3). Blejer and Khan (1984) suggest a method to estimate the component of
infrastructural and non infrastructural public investment. Infrastructural investment is assumed as a long-run concept
and it becomes a proper representative variable by modelling the expected public investment.
(9)
GI t  p0  p1GI t 1
Expected values represent the component of infrastructural long run investment and the residual values
represent the component of non-infrastructural short run public investment. Therefore the equation is written by,
PI t  b0 aYt 1  (1   )Yt 2   b1UPCt  b2 EGI t  b3 UGIt (1  b0 ) PI t 1 (10)
Based on the equation 10, the equation 11 is used to estimate the short run and long run coefficients:
(11)
PI t  b0Yt 1  b1UPCt  b2 EGI t  b3UGI tb4 PI t 1  ut
ECI and UGI is the expected and unexpected public investment respectively. The negative sign of b 3 shows
the crowding out effect of UGI. This equation is estimated for Turkey using annual data for the period 1980-2009.
The infrastructural investment data is gathered from SPO and the others such as GDP, GDP price deflator
(1987=100) and the credits to the private sector are gathered from annual statistical reports of TurkStat.

Method and Empirical Findings
The time series method investigates the non-stationary characteristics of data. It is expected to have a
stationary process to have a statistically significant relationship between the variables. If the mean and the variance
of the series change in over time, these series are called as non-stationary or unit root series. In order to test the unit
root in time series, Augmented Dickey Fuller (ADF) Test is the most common method in literature. The equation
which has lagged values in the dependent variable can be formulated with an intercept and time trend as fallows:
k

yt    t  yt 1    j yt  j   t

(12)

j 1

 is the difference operator, t is the time trend,  is the error term, yt is the series investigated and k is the
lag number. ADF assumes that the error term are statistically independently distributed and it has a constant
variance. Besides, it is important to select the lag numbers correctly for the power of the test and significance level of
the parameters (Said and Dicky, 1984). ADF test depends on the estimation of the parameter  . If  is different
from zero and statistically significant, then the hypothesis which shows the series has a non stationary process is
rejected. Philips-Perron test (1988) has been developed to control the high frequency correlation and it does not give
way to the limitation of the assumptions. Therefore Philips-Perron test (1984) is a complementary unit root test for
the ADF test. PP test does not include enough lag values of the dependent variable in the model, so Newey-West
estimator is performed to remove the autocorrelation problem in the model. As the absolute value of  in ADF test
is greater than the absolute value of Mac-Kinnon critical values, the series has a non-stationary process (Altunc,
2008: 118). Table 1 presents the ADF and PP test results for each series:

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�2nd International Symposium on Sustainable Development, June 8-9 2010, Sarajevo

Variables
LPRI

ADF Test
Intercept and
Intercept
Trend
-1.31(0)
-1.67(0)

Phillips-Perron Test
Intercept and
Intercept
Trend
-1.56(3)
-1.98(3)

LGDP

-1.15(0)

-3.09(0)

-1.17(3)

-3.11(1)

LPI

-2.17(1)

-3.05(1)

-1.61(5)

-1.97(5)

UPI

-3.34(2)**

-3.66(3)**

-3.23(5)**

-3.68(5)**

LPC

-2.71(4)

-2.48(4)

-1.37(4)

-1.07(7)

DLPRI

-5.02(0)*

-4.91(0)*

-5.02(2)*

-4.91(2)*

DLGDP

-4.66(0)*

-4.44(0)*

-4.16(4)**

-3.87(4)**

DLPI

-4.05(1)*

-3.96(1)*

-3.11(13)**

-3.66(14)**

DLPC

-3.73(0)*

-3.89(0)*

-3.60(27)**

-5.11(27)*

McKinnon (1996) Critical Values
Significant
Level
Intercept

Intercept and Trend

1%

-3.68

-4.32

5%

-2.97

-3.58

10%

-2.62

-3.22
Table 1: Unit Root Test Results

L denotes the logarithm of the variables and D shows the first-difference operator. Figures in the
parentheses from the ADF test results are the lag values which show there is not an autocorrelation according to SIC.
But for the PP test, the numbers in the parenthesis are the optimal Newey-West lag values. ADF test results confirm
that all variables excluding UPI are integrated of I(1). The results of ADF and PP test which are related to the noninfrastructural public expenditures (UPI) shows that non-infrastructural public expenditures are stationary and
statistically significant in 5% confidence level is I(0).
When some of the series are stationary at level and some of them are stationary at first difference level I(1),
we can not apply on the traditional cointegration test. This problem can be removed by the autoregressive distributed
lag model and the bound test approach which is developed by Paseran, Shin and Smith (2001) to observe the long
run relationship between the variables. The cointegration method used here, the Autoregressive Distrubuted Lag
(ARDL) method allows testing for a long-run relationship between variables of mixed order of integration (Paseran
et al., 2001). There are many advantages of using ARDL model for testing the private investment model on Turkey.
The main advantage of this method is that ARDL avoid the pre-testing problems in data. Bound test approach can be
applied to studies that have a small size while Engle and Granger (1987) and Johansen (1988, 1995) methods of
cointegration are not reliable for small sample sizes. Finally, the ECM, which is derived from ARDL by a linearly
simple transformation way, integrates the short run and long run dynamics without losing long run information
(Banerjee vd., 1993).
As the error correction term in the ARDL model does not have restricted error corrections, the ARDL
model is an unrestricted error correction model (UECM). In the UECM, these statistics are used for testing if the
lagged values of the variables are statistically significant (Faras and Ghali, 2009; Paseran et al. 2001). The form of
the model can be written in our adapted model as:

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�2nd International Symposium on Sustainable Development, June 8-9 2010, Sarajevo

m

m

m

m

i 1

i 0

i 0

i 0

LPRI   0    1i LPRI t i    2i LGDPt i    3i LPI t i    4i UPI t i
m

   5i LPC t i   6 LPRI t 1   7 LGDPt 1   8 LPI t 1   9UPI t 1   10 LPC t 1 (12)
i 0

 ut
The

cointegration

relationship

in

equation

12

is

performed

by

testing

the

hypothesis

of

H 0 :  6   7  8   9  10  0 . The null hypothesis of no cointegration will be rejected if the calculated F-statistic

is greater than the upper bound critical value. If the computed F-statistics is less than the lower bound critical value,
then we cannot reject the null of cointegration. Finally, the result is inconclusive if the computed F-statistic falls
within the lower and upper bound critical values (Gurgur ve Karaca, 2007: 19). In ARDL model, firstly the lag
orders of the dependent and independent variables in equation (12) that is represented by ―m‖ must be determined by
AIC and SIC criteria. The lag order which gives the smallest critical values is selected as the lag order of the model.
If the selected model has autocorrelation, then the second smallest value is selected. If the autocorrelation problem
still exists, the same process is applied until autocorrelation is removed (Karagol at al., 2007: 76). In this study, the
maximum lag length of two is chosen in ARDL model because of the annual data and limited observations.
m

AIC

SBC

2
 BG

1
2
3

-7.503501
-8.407829
-9.937074*

-5.809910
-5.504529
-5.824066*

5.877**
4.518***
1.120

Table 2: Determining the Lag Order for ARDL
Notes: m denotes the lag order.  BG is Breusch-Godfrey autocorrelation test statistic. The superscript **,*** indicate that there
is an autocorrelation among residuals at the 5% ve 10% levels, respectively.
2

Table 2 shows that the smallest value is obtained when the lag order of 3 by considering both AIC and SBC.
The problem of autocorrelation has been also removed in the same lag order. Therefore the private investment model
is estimated at lag 3. The ARDL approach is applied to test whether there is a long run relationship between private
investment and other variables which affects private investment. The F statistics which is counted for testing the
fundamental hypothesis of the long run relationship between variables in the model has higher values than Paseran et
al (2001) critical values. According to Narayan (2005), the existing critical values reported in Pesaran et al. (2001)
cannot be used for small sample sizes because they are based on large sample sizes. Narayan (2005) provides a set of
critical values for sample sizes ranging from 30 to 80 observations. Given the relatively small sample size in this
study, we also compare the calculated F-statistics with the critical values from Narayan (2005). Both of them give
the same result.

k
3

F-statistic
6.45

Critical Bound‘s Value (%1)
Lower
Upper
I(0)
I(1)
4.29
5.61

Critical Bound‘s Value (%5)
Lower
Upper
I(0)
I(1)
3.23
4.35

Table 3: ARDL Bound Testing for Cointegration Analysis
Note: k indicate the number of regressors in the model. The appropriate lag lengths are selected by SBC. Breusch-Godfrey
autocorrelation test statistic (  BG ) is 2.327(0.17) when the lag order of three (m=3). So we cannot reject the null hypothesis
and conclude that there is not autocorrelation in the model. Source of critical values: Paseran at al., 2001 and Narayan, 2005.
2

By using the SBC criteria, the optimal lag length is selected to estimate the long run parameters of the
relationship between private investment, GDP, total infrastructural public investment and credit to private
investment. We select 2 lags for the private investment (PRI), 3 lags for the credit to private investment (PC), 0 lag
for the public investment, 2 lags for the GDP and unexpected public investment (UPI). The estimation results of
ARDL model (2, 3, 0, 2, 2) and the results of the descriptive tests are given in Table 4:

115

�2nd International Symposium on Sustainable Development, June 8-9 2010, Sarajevo

Regressor
Coefficients
Stand. Eror
LPRI(-1)
1.586
0.240
LPRI(-2)
0.902
0.283
LPC
0.487
0.135
LPC(-1)
0.387
0.181
LPC(-2)
-0.034
0.182
LPC(-3)
-0.588
0.176
LPI
1.031
0.523
LGDP
6.120
1.958
LGDP(-1)
13.578
3.938
LGDP(-2)
13.163
4.091
UPI
0.146
0.138
UPI(-1)
-0.117
0.109
UPI(-2)
0.194
0.061
C
12.832
3.124
R2=0.887
Rd2=0.764
F-stat=7.220(0.001)
Breusch Godfrey LM Test (1)= 0.935(0.333)
Ramsey Reset Test(1)=1.013(0.314)
Jarque Bera Test(2)=1.473(0.479)
White Test(1)=1.158(0.362)

t-Stat
6.611
3.181
3.609
2.136
-0.187
-3.338
1.972
3.126
3.445
3.218
1.055
-1.064
3.208
4.108

Prob.
0.000
0.008
0.004
0.054
0.855
0.006
0.072
0.009
0.005
0.007
0.312
0.308
0.008
0.001

Table 4: Estimation Results of ARDL (2,3,0,2,2) Model

The test statistics indicate that there is not any problem in the ARDL model. To complement this study it is
important to investigate whether the long run relationship among variables are stable for the entire period of study. In
other words, we have to test for parameter stability. The test results of CUSUM and CUSUMQ in which the stability
of the parameters is observed indicate that the residuals are stays within the 5 percent critical bound and there is not a
structural change in the model (Figure 1).
Plot of Cumulative Sum of Recursive Residuals (CUSUM Test, 5%
significance)

Plot of Cumulative Sum of Squares of Recursive Residuals (CUSUMSQ)
1.5

15

10

1.0

5

0.5
0

-5
0.0

-10

-15
1984 1985 1986 1987 1988 1989 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009

-0.5
1984 1985 1986 1987 1988 1989 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009

Figure 1: Plot of Cumulative Sum of Squares of Recursive Residuals (CUSUM, CUSUMSQ)
The long run coefficients in ARDL model (2, 3, 0, 2, 2) and diagnostic tests are given in Table 5. Due to
some of the variables in the model are non-stationary, the assumption of normal distribution is invalidated or we can
not attain normal distributed standard errors. The inference based on t statistics, therefore, will not be valid anymore.
This problem can be removed by calculating the asymptotic standard errors of the long run coefficients by delta
method (Paseran and Paseran, 1997; Caglayan, 2006; Erden and Saglam, 2009).

116

�2nd International Symposium on Sustainable Development, June 8-9 2010, Sarajevo

Regressor
LPI
LPC
LGDP
UPI
C

Long Run Coefficient
0.295
0.072
9.420
0.064
2.789

Standard Error
0.143
0.032
1.852
0.021
0.336

t-Stat
2.056***
2.238**
5.085*
3.054*
8.301*

Table 5: Estimated Long Run Coefficients using the ARDL (2,3,0,2,2)
Note: *, **, and *** denote significant at 1, 5, and 10% levels, respectively.

Table 5 shows that all variables are statistically significant and their long run coefficients are positive. The
long run results show that GDP growth has a strong and statistically significant positive effect on private investment.
Also there is a complementary relationship between private investment and both total infrastructural and noninfrastructural investment. Likewise there is a positive and significant relationship between bank credit to private
sector and private investment. The short run relationship between variables is analyzed by error correction model
based on ARDL. The model,
m

m

m

m

i 1

i 0

i 0

i 0

LPRI t   0    1i LPRI t 1    2i LGDPt 1   LPI t 1   UPI t 1
m

  LPC t 1  ECTt 1  u t
i 0

(13)
ECT represents the error-correction term. The coefficient of ECT, (λ), shows that the disequilibrium is
corrected in the current year. The functionality of the error correction model depends on its negative and significant
coefficient. The short run relationship based on Model (13) is shown in Table 6.

Regressor
∆LPRIt-1
∆LPC
∆LPCt-1
∆LPCt-2
∆LPI
∆LGDP
∆LGDPt-1
∆UPI
∆UPIt-1
ECMt-1
∆C
R2=0.939

Coefficient
0.902
0.486
0.622
0.588
1.031
6.119
-13.163
0.146
-0.194
-1.488
12.832
Rd2=0.873

Standard Error
t-Stat
0.283
3.181*
0.135
3.609*
0.121
5.140*
0.176
3.338*
0.523
1.972**
1.958
3.126*
4.090
-3.218*
0.138
1.055
0.061
-3.207*
0.471
-3.157*
3.024
4.243*
F-stat(10,15)=18.438(0.000)

Prob.
0.006
0.003
0.000
0.004
0.067
0.007
0.006
0.308
0.006
0.006
0.001

Table 6: ARDL (2,3,0,2,2) Error Correction Model Presentation
The coefficient of error correction term (ECT t-1) is determined as -1,488. The sign of the error correction term is
negative and statistically significant as expected. The coefficient of the error correction variable is greater than 1 and
this shows the system tends to equilibrium path by diminishing and fluctuating at every turn (Erden ve Saglam, 2009:
29; Karagol vd., 2007: 78; Paseran ve Paseran, 1997: 404). When the short run coefficients are analyzed, we see that
all variables are statistically significant excluding non-infrastructural public investment (∆UPI). Short run estimating
results indicate that there is a complementary relationship between private investment and infrastructural public
investment.

117

�2nd International Symposium on Sustainable Development, June 8-9 2010, Sarajevo

Conclusions
In this study, total private investment, total infrastructural and non-infrastructural public investment, real GDP
growth and the relationship among all these variables are estimated for the short and the long run, based on the Blejer
and Khan Model (1984). The long run coefficients of all variables are positive in the ARDL model. The long run
results show that the private investment is stimulated by the total infrastructural and non-infrastructural public
investment. The empirical findings support that both of two descriptions of investment do not crowd out private
investment, on the contrary they both crowd in (complement) private investment. Besides, we reach that the growth
in private sector credits and the growth in GDP affect the private investment positively in the long run. These
empirical findings are contrary to the studies for Turkey (Taban ve Kara, 2001; Yavuz, 2001; Ismihan vd., 2002;
Simsek, 2003; Bilgili, 2003) but support the results of the studies of Yavuz (2005) and Kustepeli (2005) on the
relationship between public and private investment.
Many of the variables excluding total non-infrastructural public investment in the short run ARDL model are
statistically significant. The error correction term is negative and statistically significant and it shows there is an error
correction mechanism. The lagged values of the private investment are positive and statistically significant and this
finding supports the estimation results of Blejer and Khan Model (1984). The capital stock adjustment model implies
that private investment adjusts the actual level of the capital investments to the optimal level. The other finding
shows that in the short run there is a complementary relationship between private investment and current value of the
total non-infrastructural public investment. The short run coefficient of total non-infrastructural public investment
has a negative sign that means the non-infrastructural public investments crowd out the private investments in the
short run.
The sustainability of the private sector investment and contributions of the private sector investment on GDP are
possible with selective government policies. Creating a suitable investment environment, increasing the availability
of credits and giving priority to the productive investments depend significantly on the coordination between private
sector investments and government policies.

References
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.

119

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                <text>The Role of Public and Private Investment to Ensure Sustainable  Macroeconomic Stability in Turkey</text>
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ŞENTÜRK, Bilge</text>
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                <text>Private investment plays a vital role to promote sustainable economic growth and to reduce poverty in  developing countries. The idea of using private sector investments intensively to boost growth in Turkey has started to  emerge after 1980s. Despite a sizeable empirical literature, the impact of public investment in the developing countries  gives inconsistent results on whether it complements or crowds out private investment. This paper makes use of Blejer  and Khan Model (1984) for Turkey over the 1980-2009 periods estimating the effect of public investment on private  sector. We employed time series analysis in this study. Our findings support the hypothesis that GDP growth stimulates  private investment while public investment and private investment are complementary. The other finding of the study is  that credit constraint is an important determinant of private investments in Turkey.</text>
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                    <text>The Use Of Building Models As An Educational Material And Their
Impact On Learning
Ahmet C. APAY
Department of Construction, Sakarya University,
Adapazari, Turkey,
aapay@sakarya.edu.tr
Emine AYDIN
Department of Construction, Sakarya University,
Adapazari, Turkey,
emineb@sakarya.edu.tr
Tahir AKGUL
Department of Construction, Sakarya University,
Adapazari, Turkey,
takgul@sakarya.edu.tr
Ali GURBUZ
k.aligurbuz@gmail.com

Abstract: Materials are an indispensable component of education and teaching and used for
supporting teaching during the teaching-learning process. Aids and materials are employed in
an attempt to fulfill the objectives of the teaching process during education-teaching activities.
In today’s rapidly-changing and developing world, individuals are not supposed to obtain
information from one single source and memorize it; in contrast, the objective is to school the
type of individuals who can know how to access to information, how to use it and how to
come up with ways to overcome problems encountered. The use of teaching materials
designed in accordance with the principles of teaching technologies is vitally important for
enabling individuals to develop such skills. A fundamental factor in increasing the level of
achievement in courses, in ensuring a decent educational system and in enabling students to
experience an enduring learning process is to get students to like the subject to be taught.
Otherwise, students will not be interested enough to get the input and no enduring learning
process will take place no matter how well-versed and experienced an instructor is in his/her
field. This paper is a study into the effects of the use of educational materials on the level of
students’ achievement and interest in courses. Furthermore, it includes a comparison between
the efficiency of material-aided instruction and teacher-centered instruction. The effect of
these two methods on the level at which particular concepts related to a lesson are learned has
been analyzed through the use of experimental design with pretest-posttest control group.
Keywords: Building models, education and teaching, educational materials

1. Introduction
As a term the model denotes to doing a smaller or bigger copy of an object in a determined scale. Today the
model usage is widespread in many fields. The models to examine human body used in biology and medicine,
the earth model which is a minimized copy of the Earth used in geography, in machine sector the models with
changing scales from ½ to 1/25 according to their dimensions and details, earthquake models, dynamic models
showing the flow of a stream, military models, ship models, car models, airplane models, architectural models,
training models, topographic models, terrain models, urban models, park-garden models, people models,
building models, interior models, and etc can be given as examples. In terms of building education, the term of
model brings “architectural models” such as topographic, building, furnished building interior into mind.
Material use in education is a rapidly spreading application in permanently developing and renewing Turkish
education system. Oral narrative technique centred and teacher-centred education model which are implemented
widely until recently has started to loose its validity today. Oral narrative technique should be implemented with
other education methods and supported with other materials in the education place. [1]

2. The Importance of Material Use in Education

838

�Materials are indispensable parts of education and training in our age. In order to realize educational objectives,
equipment and materials are used in all of education and training studies. Artificial and natural substances are
named as material when they serve for a virtual or actual purpose. When it is associated with education
“education material” is named as “course material” and it defines all of the living, non-living, practical and
theoretical information and affluences regarding to that course. The conception of material includes virtual,
actual, artificial and natural data or affluences which serve for a purpose. [2]
Material is an efficient education tool. It is possible to define the education tool as an environment to provide
information sharing between a communication channel (teacher) and receivers (students) [3]. In today’s rapidly
changing and developing world, it is not expected that individuals to obtain the information from one source and
memorize this information, on the contrary it is intended to raise individuals who know ways to achieve
information, who use them and when faced with a problem who can create solution methods by using that
information. The use of education material which is prepared in accordance with the principles of the education
technologies has significance for teachers to design an active and interactive learning environment which is
necessary for individuals to acquire these above features. [4]

3. Using Building Model As An Education Material
Department of Building Education is a department that theoretical and applied courses are taught together. In
theoretical courses in order to be helpful for the correlation with applied courses and in order to develop the three
dimensional thinking abilities of students, the building model is preferred as the material in this research. The
achievement and attitudes of students toward Technical Drawing are examined with the designed building model.
Cross-sectioning of the building plan is one of the parts for students that they densely need to use three
dimensional thinking powers. Through the expression via model technique it is expected that for students to
develop their perception ability better and perform a more efficient learning. The research is conducted with 60
students in total, as 30 from control group and 30 from experiment group, who are chosen according to random
sampling methodology among the 1st year students who take Technical Drawing course in 2008-2009 Spring
semesters and from Department of Building Education at Sakarya University Faculty of Technical Education. In
this research two different learning methods are applied randomly to these two categories. No information is
given to students in experiment and control groups regarding whether they are in experiment or control group.
The application is done in the duration of “Cross-sectioning of a plan” which is specified in the Course
Curriculum. In order to give the necessary information to students and to test their learning regarding to this
course, a housing project which is constituted of the ground floor and a normal floor is prepared. Since some
factors are thought such that the students meet with this issue as first time and the course hours are limited, the
project is designed so simple. In order to teach the “Cross-sectioning of a plan” in a best way, two section lines
are passed with “A-A Section” code on X axis of floor plans and with ““B-B Section” code on Y axis of floor
plans and it is given importance that the section lines to touch to the stairs, low floor, door-window frames
(Figure 1).

Figure 1. Floor Plans
3.1. Preparation of the Model
To express the selected issue in a best way by the model it is planned to break into horizontal pieces from 2/3
length of the height of floor and vertical pieces from the places that the A-A and B-B section lines pass in order
to show the floor plans as in the project (Figure2,3,4 and 5). Hence, in this way floor plans and section lines can
be understood more clearly in terms of what they mean.

839

�Figure 2. The First Floor of
the Model

Figure 3. The First Normal Floor
of the Model

Figure 4. The A-A Section View of
Model

Figure 5. The B-B Section View
of Model

A greater scale is selected compared to a standard scale and 1/20 scale is preferred in order to make all class to
see the model during the course hour and more importantly to enable permanent learning which is our main
objective.

3.2. Research Design
In this research it is attempted to determine the effects of Expression and Teaching Activity and TeacherCentred Education Activity on students’ success and students’ attitudes toward Technical Drawing courses. For
this purpose an experimental design which is suitable to “pre-test and post-test” model with control group is
used.
Groups
Control

Pre-test
AT
AI

Education Activity
Teacher-centred Education Activity

Post-test
AT
AI

Experiment

AT
AI

Model Aided Education Activity

AT
AI

Table 1. Research Design with Pre-test/Post-test Control Group AT: Achievement Test, AI: Attitude Inventory
As seen on Table 1, the topic of “Cross-sectioning of a plan” of Technical Drawing Course is taught by Teachercentred Education Activity for control group whereas it is taught by Model Aided Education Activity for
experiment group. In the research, the effects of Teacher-centred Education Activity and Model Aided Education
Activity are compared in terms of learning of “Cross-sectioning of a plan” of Technical Drawing Course. Before
the application of two different education activities both for experiment and control groups the Achievement
Test (AT) is applied firstly as pre-test to evaluate their pre-information level toward “Cross-sectioning of a plan”
and then applied as post-test after courses of experiment and control groups. And again, in order to determine the
pre-attitudes of students toward Technical Drawing Courses “Technical Drawing Attitude Inventory” is applied
firstly as pre-test and then applied as post-test after courses of experiment and control groups before the
application of two different education techniques both to experiment and control groups .

3.3. Variables of Research
3.3.1. The Achievement Test
The Achievement Test (AT) is prepared under the control of field specialists. It is constituted of drawings and
questions which are prepared according to the “Cross-sectioning of a plan” unit of the Technical Drawing
Course Curriculum which is prepared by the Head of Department of Building Education at Sakarya University
Faculty of Technical Education.
The Achievement Test is implemented two times for two groups in the form of pre-test and post-test as being
before the education and after the education. Before the education activity the pre-test is applied in order to
evaluate the pre-information level of students regarding to “Cross-sectioning of a plan” and after the education
activity the post-test is applied to reveal the effect of these two different activities on students to learn this issue.

3.3.2. Technical Drawing Attitude Inventory
Fivefold Likert-type attitude inventory (I strongly agree, I agree, I neither agree nor disagree, I don’t agree, I
strongly disagree) toward Technical Drawing which comprises of 12 items as being 6 of them positive and 6 of

840

�them negative statements in order to determine the approaches of students toward the Technical Drawing Course.
The scale results are evaluated by scoring the positive questions as “I strongly agree” (5 points), “I agree” (4
points), “I neither agree nor disagree” (3 points), “I don’t agree” (2 points),“I strongly disagree”(1 point) and the
negative questions as “I strongly agree” (1 point), “I agree” (2 points), “I neither agree nor disagree” (3 points),
“I don’t agree” (4 points),“I strongly disagree”(5 points). The pre-test before the education and the post-test after
the education are implemented to the experiment and control groups of “Technical Drawing Attitude Inventory”.
(Technical Drawing Attitude Inventory is given in Appendix-B).

3.4. Course Teaching for Control Group
The achievement test and attitude scales are applied as pre-test in order to determine students’ pre-information,
skills and attitudes regarding to this issue. Teaching of this issue is started after one week. During the course oral
narrative, written expression and question-answer methods are applied. The topic is transferred to students with
the classical method as oral and written by using blackboards. The questions regarding to the incoherent parts are
answered after lecturing and the lecture is ended with a last repetition. After the course “Technical Drawing
Achievement Test” and “Technical Drawing Attitude Inventory” are applied as post-test and the results are
recorded.

3.5. Course Teaching for Experiment Group
Before one week from the course the achievement test and attitude inventory pre-test applications are applied in
order to determine the pre-information, skills and attitudes of students regarding to this topic as in the control
group. The prepared model material is used actively during the course and showing the details regarding to this
issue on the model as three dimensional become useful for students to animate plans and sections in their minds
regarding to this issue. After course by preserving same conditions with control group The Achievement Test
and The Attitude Inventory are applied as post-test and the results are recorded. The results of pre-test and posttest Achievement Test and Attitude Inventory for Experiment and Control Groups are given in APPENDIX C-F.

3.6. Data analysis
For independent groups the t-test is performed in SPSS 16.0 package programme in order to reveal whether there
is a statistical difference among the experiment and control groups in terms of readiness regarding to this issue
and attitudes toward courses such as Technical Drawing and occupational drawing. For dependent groups the ttest is performed in package programme in order to reveal the effect of two different education methods
(Teacher-centred Education Activity and Model-Aided Education Activity) on success and attitudes toward
“Technical Drawing Course, Cross-sectioning of a Plan”. One Factor Covariance Analysis (ANCOVA) is
performed in order to compare the effects on learning of two different education activities after performing the
educational activities and after bringing the pre-information and readiness level of students under control.
ANCOVA is recommended in order to show the effectiveness of the applied experimental operation in
experimental designs with pre-test and post-test control group. The ANCOVA test is defined as a “powerful
technique which allows comparison among the groups by providing the statistically control of another variable
or variables which are related to the dependent variable and named as common variable, besides the independent
variable which is tested in a research to observe its effect. ” [5].

3.7. Findings
The findings which are obtained through testing the data of experiment and control groups are given in this
section. The hypothesis statements which are to evaluate changes in the points of achievement and attitude points
of groups are tested with t-test by using SPSS 16.0 (Statistical Package for Social Sciences for Personal
Computers) package programme. Arithmetic mean, standard deviation and t-test results for independent groups
according to AT pre-test points, which is done to reveal the pre-information of experiment and control groups
regarding to the issue of “Cross-sectioning of a plan” of Technical Drawing Course and to determine the
difference between groups in terms of pre-information regarding to the specified topic, are summarized on Table
2.
Group

N

X

S.S

Experiment

30

18.50

11.08

Control

30

15.83

9.20

t

p

1,014

0,315

N: Number of students, X: Arithmetic mean, S.S: standard deviation, t: tscore , p: significant coefficient

841

�Table 2. Arithmetic mean, standard deviation and t-test results of groups according to AT pre-test points
On Table 2, according to AT pre-test results of experiment and control groups t=1,014, p=0,315 values are
obtained. Since p-value is greater than the significance level of 0.05 there is no statistically significant
difference between experiment and control groups in terms of pre-information regarding to the “Cross-sectioning
of a plan” topic of Technical Drawing Course. Arithmetic mean, standard deviation and t-test results for
independent groups which are obtained according to pre-test results are summarized on Table 3 with the aim of
determining the attitudes of experiment and control groups toward the Technical Drawing Course before
educational activity.
Group

N

X

S.S

Experiment

30

3,67

0,59

Control

30

3,37

0,83

t

p

1,386

0,171

N: Number of students, X: Arithmetic mean, S.S: standard deviation, t: tscore , p: significant coefficient

Table 3. Arithmetic mean, standard deviation and t-test results of groups which are obtained by Technical
Drawing Course Attitude Inventory pre-test points
Arithmetic mean, standard deviation and t-test results, which are obtained according to the pre-test points of
Attitude Inventory toward Technical Drawing Courses, are seen on Table 3. According to this, t=1,386, p=0,171
values are obtained from pre-test points of Attitude Inventory toward Technical Drawing courses of experiment
and control groups. Since founded p–value is greater than the significance level of 0.05, there is no statistically
significant difference between experiment and control groups in terms of their attitudes toward Technical
Drawing course.

Hypothesis- 1: Hypothesis Sentence: The model-aided education activity has no effect on students to gain
information and skills regarding to the issue of “Cross-sectioning of a plan” of Technical Drawing Course. In
order to test the hypothesis the t-test is performed for dependent groups.
Test type

N

X

S.S

AT Pre-test

30

17,50

11,08

AT Post-test

30

79,83

19,32

t

p

-13,160

0,000

N: Number of students, X: Arithmetic mean, S.S: standard deviation, t: tscore , p: significant coefficient

Table 4. Arithmetic mean, standard deviation and t-test results of experiment group according to AT pre-test and
post-test points
According to Table 4, the model-aided education activity has an effect on students to gain information and skills
regarding to the issue of “Cross-sectioning of a plan” of Technical Drawing Course. A significant difference is
found between the pre-test points and post-test points of experiment group with model-aided education activity.

Hypothesis-2: Hypothesis Sentence: Teacher-centred education activity does not have an effect on students in
terms of gaining information and skill regarding to the topic of “Cross-sectioning from a plan” of Technical
Drawing Course. In order to test the hypothesis the t-test is performed for dependent groups.
Test type

n

X

S.S

t

p

AT Pre-test

30

15,83

9,20

-13,521

0,000

AT Post-test

30

65,00

18,98

N: Number of students, X: Arithmetic mean, S.S: Standard deviation, t: t score , p: significant coefficient

Table 5. Arithmetic mean, standard deviation and t-test results of control group according to AT pre-test and
post-test points

842

�According to Table 5 teacher-centred education activity has an effect on attainment of information and skills by
students regarding to the topic of “Cross-sectioning of a plan” of Technical Drawing Course. A difference is
found among the pre-test and post-test points of control groups with teacher-centred education activity.

Hypothesis-3: Hypothesis Sentence: There is no significant difference between the model-aided education
technique and teacher-centred education activity for students in terms of gaining information and skills regarding
to the topic of “Cross-sectioning of a plan” of Technical Drawing Course.
Group
Experiment
Control

N

X

S.S

30

79,83

19,31

30

65,00

18,98

F

p

9,701

0,003

N: Number of students, X: Arithmetic mean, S.S: Standard deviation, F: analysis points , p: significant coefficient

Table 6. The covariance analysis results of experiment and control groups according to the AT post-test points
According to Table 6, when the AT pre-test results of students are brought under control, the following result is
achieved that there is a significant difference between the teacher-centred education activity and model-aided
education activity in terms of their effects on learning. According to AT post-test results, with their higher
achievement average the difference is in favour of the experiment group.

Hypothesis-4:Hypothesis Sentence: “There is no statistically significant difference between the students
educated with model-aided education activity and students educated with teacher-centred education activity in
terms of attitudes toward Technical Drawing course after the education”.

Group
Experiment
Control

N

X

S.S

30

3,89

0,53

30

3,83

0,64

t

p

-0,374

0,711

N: Number of students, X: Arithmetic mean, S.S: Standard deviation, t: t score , p: significant coefficient

Table 7. Arithmetic mean, standard deviation and t-test results of groups according to Technical Drawing
Attitude Inventory post-test points
According to Table 7, there is a significance difference between the experiment and control groups in their
attitudes toward Technical Drawing Course. According to this result, both model-aided education activity and
teacher-centred education activity affect students in terms of developing positive attitudes toward Technical
Drawing course. Although the difference between the average points of groups is not statistically significant, it is
in favour of control group with model-aided education.

4. Conclusion And Suggestions
In this research according to the t-test results of independent groups which is performed to evaluate the AT pretest results of experiment and control groups, a statistically significant difference is not found in pre-information
of experiment and control groups intended to the concepts regarding with the “Cross-sectioning of a plan”. In
the Achievement Test post-test covariance analysis (ANCOVA) which is applied by controlling the preinformation regarding to the topic of “Cross-sectioning of a plan” of Technical Drawing course of experiment
and control group, a significant difference is founded between the teacher–centred education and model-aided
teaching activity. With higher achievement average in terms of the Achievement Test post-test results this
difference is in favour of the experiment group. This result shows that the students that are educated with modelaided education activity are more successful than the students that are educated with the teacher-centred
education activity. It is observed that students learn better and become more successful in the classroom where
the model material is used.

843

�According to the t-test results which are performed for independent groups as a result of the pre-test results of
Technical Drawing Attitude Inventory, a statistically significant difference is not found in terms of pre-attitudes
of experiment and control groups regarding to the Technical Drawing course.
According to the Attitude Inventory post-test results which are applied after two different education activities
performed by controlling the pre-attitudes of students toward Technical Drawing course, a positive
transformation is determined in the attitudes of students toward this course after both of these education
techniques. A significant difference is not found by obtaining group averages as 3.83 and 3.89 for two groups
according to the post-test results of attitude inventory. However, the average pre-test points of control group with
the teacher-centred education techniques increases from 3.67 to 3.83 whereas the average of experiment group
with model-aided education technique increases from 3.37 to 3.89. The increase rates in averages can be
evaluated as in favour of the model-aided education activity.
Since models and other visual materials which are used in education and training meet the conditions of
education by doing and living, they provide permanence and will be helpful to raise successful individuals.

Reference
BUYUKOZTURK, S. (2001). Pre-Experimental Designs finaltest Control Group Designs and data analysis, Pagem A data
analysis, (pp. 1-3), Ankara, TURKEY.
DEMĐRKUŞ, N., (1999). “Fen Bilgisi Öğretim Yöntemleri ve Uygulamalarının Verimli Hale Getirilmesi”, Symposium on
Teacher Education and Contemporary Perspectives, D.E.U. Buca Faculty of Education Journal Special Issue (11) (pp. 414425), Izmir, TURKEY.
DOĞDU, S., ARSLAN, Z., (1993). Applications of Educational Technology and Education Appliances, (pp.40), Ankara, ,
TURKEY.
YALIN, H. Đ., (2001). Instructional Technology and Material Development, Nobel publishing, (pp. 82), Ankara, TURKEY.
ZAMAN, S. (2006). “Mitoz ve Mayoz Bölünme Konusunda Geliştirilen Bilgisayar Destekli Biyoloji Öğretim Materyalinin
Değerlendirilmesi” KTÜ Science Institute, (pp. 129-131).

844

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                <text>The Use Of Building Models As An Educational Material And Their  Impact On Learning</text>
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AYDIN, Emine
AKGUL, Tahir
GURBUZ, Ali</text>
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                <text>Materials are an indispensable component of education and teaching and used for  supporting teaching during the teaching-learning process. Aids and materials are employed in  an attempt to fulfill the objectives of the teaching process during education-teaching activities.  In today’s rapidly-changing and developing world, individuals are not supposed to obtain  information from one single source and memorize it; in contrast, the objective is to school the  type of individuals who can know how to access to information, how to use it and how to  come up with ways to overcome problems encountered. The use of teaching materials  designed in accordance with the principles of teaching technologies is vitally important for  enabling individuals to develop such skills. A fundamental factor in increasing the level of  achievement in courses, in ensuring a decent educational system and in enabling students to  experience an enduring learning process is to get students to like the subject to be taught.  Otherwise, students will not be interested enough to get the input and no enduring learning  process will take place no matter how well-versed and experienced an instructor is in his/her  field. This paper is a study into the effects of the use of educational materials on the level of  students’ achievement and interest in courses. Furthermore, it includes a comparison between  the efficiency of material-aided instruction and teacher-centered instruction. The effect of  these two methods on the level at which particular concepts related to a lesson are learned has  been analyzed through the use of experimental design with pretest-posttest control group.</text>
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                    <text>2nd International Symposium on Sustainable Development, June 8-9 2010, Sarajevo

The Importance of Numerical Flexibility In
Turkish Labor Market and Competition Policy
M. Akif ARVAS
Res. Assist.(PhD candidate), Economics,
Hacettepe University, Ankara, Turkey
aarvas@hacettepe.edu.tr
Suleyman ĠÇ
Dr., Department of Business, Gaziantep University, Gaziantep, Turkey
icsuleyman@yahoo.com
Mehmet AYGÜN
Assoc. Prof., Department of Business, 100. Yıl University, Van, Turkey
maygun@yyu.edu.tr

Abstract: Numerical flexibility, which has been common since Atkinson (1984), can be defined
as a situation where the number of staff and the number of hours worked can be increased or
decreased depending on the demand for labour. Within the "flexible firm model", numerical
flexibility is seen as being designed to facilitate a rapid adjustment in headcount, in line with
short-term changes in the level of demand for labour so that the number employed equals the
number required at any time. Based on Labour Law no 4857, Turkey has adopted this approach as
a competition policy in order to provide flexibility into labor market and to promote the
competition of Turkish firms. Therefore, in this study, flexibility-based tools are discussed and
evaluated in terms of competition policy.

Introduction
The flexible firm model developed by Atkinson (1984) resulted from studies carried out on the changing
nature of employment in the UK during the 1980s. Atkinson concluded that changes in technology, training costs,
working time and labour supply were the factors influencing and driving change in UK employment policies and
strategies. The changes in employment policies and strategies, Atkinson believed, resulted in the formation of two
employee groups―the core and peripheral. The core group consisted of full-time permanent workers and the
peripheral group consisted of part-time, temporary and contract workers ( collectively termed ―atypical‖ by
Atkinson).
Today, flexibility in labor market has been a new competition strategy for firms and there has been a
significant growth in flexible or ―non-standard‖ forms of employment. Since laborforce is a variable factor of
production and because of impossibility of perfect substitution of investment goods for laborforce using today‘s
technology, forces dynamic conditions in goods and factor markets to have a more flexible structure in terms of
employment forms of firms and restructuring the job schedule. Hence, flexibility in labor market as a competition
strategy can be expressed in two ways; external flexibility and internal flexibility.
External flexibility, which allows firms to adjust demand for labor to workload, and numerical flexibility
which is called employment flexibility are strategic methods and policies for firms to harmonize to rapidly changing
economic conjuncture. Firms who adjust the number employed to workload are defined as ―flexible firm‖ and
together with core laborforce of these firms, they―depending on business conditions― employ other kinds of
employment such as temporal worker, part-time worker and external service act, and peripheral labor (Felstead,
1999, p.10). Therefore, numerical flexibility will be obtained by firm from employment of peripheral laborforce.
Numerical flexibility is defined an employment type which enables employment of part-time and temporary worker
according to fixed-term non-standart employment contracts as well as full-time workers with open-ended
employment contracts (Kutal, 2002, p.33). This aspect of numerical flexibility has been taken into consideration and

493

�2nd International Symposium on Sustainable Development, June 8-9 2010, Sarajevo
flexibility in competitive market economies means the required use of workers when needed (TĠSK, 1999, p.23).
This definiton puts forward the importance of numerical flexibility to firms.
On the other hand, it has been stated that the diffusion of flexible employment types helps developing
countries to employ low-waged laborforce to accelerate their economic growth.
Working hours flexibility known also as internal flexibility creates another dimension of labor market
flexibility as a competition strategy. Flexibility in working hours, in case when normal work period does not
response to labor supply and demand, is defined as flexibility in the period worked in response to a change in work
load of employer and in workers‘ demand for income-leisure time―within normal working hours limits ( OECD,
1990, p.23-24).
It is stated that working hours short-cut is a different application of working hours flexibility (Bosch, G, P.
Dawkins and F. Michon, 1994, p. 25–27). This method enables firm to adjust its labor demand to a fluctuation in
demand for its goods produced. According to the labor demand model, it is assumed that firm has to adjust its labor
demand to a change in economic conditions ( Borjas, 1996, p.138). it is further assumed that working hours
flexibility is a strategy in which firm aims to protect its competitive power accross firms (Kuzgun, 2005, p.34).
Based on a OECD regulation in 1985, it is pointed out that flexible working hours constitutes the numerical
aspect of laborforce flexibility and comes to the same manner with the flexibility in labor input costs (Bosch, G, P.
Dawkins and F. Michon, 1994, p. 25). In the same point of view, flexibility in working hours gives an advantage to
firm to give a quick response with a minimal input cost to fluctuations in demand in goods market. Further, while
working hours flexibility allows firm to feasible use of laborforce in number and time needed ( Centel, 2002, p.239).
On the other hand in terms of workers it means that ―...it is an aggrement between employer and employee so that
working hours needs to be adjusted to employee‘s conditions‖ (Centel, 2002, p.243).

2. Flexibility in Turkish Labor Market As A Competition Strategy
2.1. Flexibility As a Firm’s Competition Strategy
It has been seen that factors which determine managerial strategy of a firm are aggregated under the two
headings as external and internal; across external factors the state of markets, competitive conditions, economic
fluctuations and legal regulations are mentioned, as for internal factors the human source is pointed out (Ergin, 1992,
p.50-56). In this respect, within the context of new Turkish Labor Law, regulation neccessity for numerical
flexibility and flexible working hours constitutes the legal framework of firms‘ new competition policies.
Within this framework, part-time working, on-call working, compensatory working, short working,
temporary secondment and labor subcontractor applications are considered. Among these, though temporary working
has been expensively applied in Turkish labor market, it had not been legaly arranged. On the contrary, on-call
working, compensatory working and temporary secondment have found place within the new labor law context.
In Turkey, the factor that improves the effectiveness of labor market flexibility on determining firm‘s competition strategy has
been the legal permittance given to private employment aggencies to be established. In order to shorten the temporary
unemployment period, importance is attached to the matching of unoccuppied jobs with the people looking for a job. Thus, the
private employment agencies have been accepted as instruments of active employment policy for the improvement of the
matching capability of the labour market besides the public employment institutions. ― The aim of the employment service is to
enable employers to identify and employ workers who are equipped enough to perform their jobs, and to help individuals find
their first jobs, change jobs during their career, and to find new jobs when they become unemployed.‖

(http://www.oas.org/udse/esponal/documentos/cancun/01developingefectivES-D,Fretwell-docum.pdf).
As of April 2010, 277 private employment agencies have started to operate and they have been distributed among 19 provinces in
Turkey. These provinces are Adana, Ankara, Antalya, Balıkesir, Bursa, Denizli, Diyarbakır, EskiĢehir, Gaziantep, Hatay,
Ġstanbul, Ġzmir, Kayseri, Kocaeli, Konya, Muğla, Sakarya, Tekirdağ and Trabzon (http://statik.iskur.gov.tr/0252/iller/01T%c%3bcm%20Liste.pdf). Meanwhile, 126 of these private employment agencies have been closed and the licences of five
agencies have been cancelled by ISKUR (http://www.iskur.gov.tr/loadExternalPage.aspx?uicode=statozeisthdamburodagi).
These data show that private employment agencies in Turkey have created a new sector within the service sector.
While there is no data on how many people are employed by private employment agencies in Turkey, it is supposed that they
have created labor opportunities at a specific rate. The indirect contribution of private employment agencies appears at the stage
of providing matching services. Structural unemployment is one of the features of the labor market in Turkey. It is considered
that thanks to these agencies, the decrease in the period of looking for a job is a partial solution for the structural unemployment.
It is possible to say that 1.5% of those applying to private employment agencies in Turkey are already engaged in a business
(Kuzgun,2008:12). Life time of a firm is the outcoming factor and it is based on the economic activities in the effects on the
employment level.
It is observed that the fact that employment service is provided by private sector firms as well as public institutions has
led to creation of a sub-sector within the service sector and to creation of new job opportunities. This sector has been accepted as

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�2nd International Symposium on Sustainable Development, June 8-9 2010, Sarajevo

an emerging market by the EU countries and it is stated that new employment opportunities have been created for 1,3 million
people in the European Union in this way and that this figure corresponds to 1,9% of total employment. (http://www.eurociett.org/fileadmin/templates/eurociett/docs /position_papers/EurociettPositionPaper_Lisbon_Staregy_March_2006.pdf)

2.2. The Reasons For Adoption of Flexibility in Labor Market As a Competition Strategy in Turkey
These reasons can be classified into two sub-headings.
2.2.1. External Factors
The first external factor is globalization and its effect on the decisions regarding productive organizations of
firms in Turkey. The second is to adopt the flexible labor market approach as it did in EU in the adaptation process
of Turkey to EU.
2.2.1.1. Globalization
Since competition in domestic and international market has gained big importance, recent atypical or nonstandart job contracts are emerged as well as typical/standart or normally interpreted job relations and job contract
concepts. It is pointed out that, in process of globalization, the effect of international trade on employment has been
more improved ( Liemt, 1997: s.240). In terms of competition, in the short-run, benefiting from the nature of labor
force being variable factor of production in order to enhance the competitive power , firms use peripheral labor force
in which they employ labor force in accordance with the workload. In this regard, it is agreed that the types of PostFordist organizations has been recently appeared in developed and developing economies by the result of coercive
nature of international trade (Felstead,1999, s.9). Taking into consideration further the fact that the pressure of
globalization and competition leads firms to seek for reducing the costs, it is stated that flexibility in the general level
of labor force costs is one aspect of flexibility in labor market ( Elliot, 1997, s.301). Notably in the stage of economic
crisis, providing flexibility in adjusting the employment costs is critically important for competing firms.
Furthermore, a relationship is constituted between the use of labor force and having a flexible position and, it is
emphasized the importance of possessing a flexible structure during the crisis (Arıkboğa, 2001, s.54). In terms of
Turkey, it is expressed that the flexibility in labor force has risen as a system driven by globalization (DPT, 2001b,
p.38).
2.2.1.2. The Adaptation Process of Turkey to European Union (EU)
According to Kuzgun (2004), another reason of introducing different types of flexible employment into the
new Labor Law is the adaptation process of Turkey to EU and it plays an important role during this process. The
same approach has also been followed in the Eight Five-Year Development Plan (DPT, 2001, p. 145). This adoption,
globally, has proved the fact that the EU is influential in individualizing the work relationships by the case in Turkey.
Besides that, together with some types of flexible employment, absence of legal regulations seemed to be a lack in
Turkey. This lack is first put on the agenda in the project of improving employment and efficiency in labor markets.
2.2.2. Internal Factors
These factors resource from the structural futures of Turkish economy and labour market.
2.2.2.1. The Ever-Growing Unemployment
In the aftermath of World War II, the numerical flexibility concept in the labor market in industrialized
economies is another factor in determining different types of flexible employment and subcontracting which enables
labor market to become flexible. On the other hand, it has claimed that the oil crisis in the mid of 1970s had
strengthened the relationship among flexible types of employment producing a new unemployment wave ( Tuncay,
1995, p.57)
Therefore, a tie between widespreading flexible types of employment and unemployment is constructed and
at the end of the 20th century, as types of flexible employment become widespread, so does the employment
possibilities ( Felstad, 1999, p.3). Likewise the idea that holds that there is a linear correlation between flexibility and
levels of unemployment rates and that reforms need to be done for a flexible labor market (Rodriguez, 2003, p.37)

495

�2nd International Symposium on Sustainable Development, June 8-9 2010, Sarajevo

runs parallel with the idea that maintains that reforms in job law which should make labor market more flexible in
2003 in Turkey comparing with the high level of unemployment rates. The reason of the ever-growing
unemployment in Turkey is the long-lasting economic crisis as an influential factor stimulating unemployment (
Kazgan, 2002, p.19).
Years
Unemployment rate %
Underemployment rate %
Underutilisation rate %
(Unemployment + Underemployment)

1995*

1999*

2008**

6.9

7.3

11

6.7

6.9

3,1

13.6

14.2

14,1

Source: * Obtained from 8th –Year Development Plan, DPT, p. 102, ** Obtained from
Turkish Statistical Institute (TÜĠK) News Bulletin.
Table 1: Changes in Unemployment and Underemployment rates in Turkish Labor
Market (1995-2008) (15+ Age)

As it can be seen from the Table 1, in the period of 2005-2008, as a consequence of effects of the global
crisis and economic instability on Turkish economy, while unemployment rate was 6,9 % in 1995, it increased to
7.3% in 1999, and to 11% at the end of 2008. But, in contrast to realized rates of underemployment in 1995 and
1999―6.7% and 6.9%―, it decreased to 3.1% in 2008. Under these conditions, underutilisation rate of work force,
which is the sum of unemployment rate plus underemployment rate, increased to 13.6 % and to 14.2 %, in 1995 and
1999 respectively, but in spite of a considerable decrease in 2008, it slightly decreased to 14.1 % at the end of 2008 (
due to increasing unemployment rates).
2.2.2.2. The Share of Service Sector in Total Employment
It is stated that there is a linear correlation between flexibility and increasing share of service sector in total
employment (Felstead, 1999, p.12). In Turkey, in the sectoral distribution of employment in urban areas, service
sector ranks first and it is followed by industry and agriculture sectors. On the other hand, if we look at the long-run
expectations of employment in Turkey, it is seen that service sector is leading sector which will create an
employment capacity for labour suppliers (ĠġKUR, 2003, p.13).
According to Household Work Force Survey results, in both 2008 and 2009, considerable part of
employment is engaged in service sector. As of 2009, the share of service sector employment in total employment
reached to 50 %. The economic crises has led industry sector to provide less employment comparing to the numbers
of 2008 (Table 2).
2008

2009

Sectors
Employment
Share (%)
Employment
Share (%)
5016
23.7
5254
24.7
Agriculture
5682
26.8
5379
25.3
Industry
10495
49.5
10644
50.0
Service
21194
100
21277
100
TOTAL
Source: http://bulten.tuik.gov.tr/PreHaberBultenleri.do?id=6198&amp;tb_id=2, 19 April 2010
Table 2: Sectoral Distribution of Employment, 2008-2009 (in thousands, 15+ age)
2.2.2.3. The Share of Unregistered Employment in Total Employment
Unregistered employment is generally keeping the workers away from awareness of the government,
employing unskilled workers, violating the regulations such as minimum age level (child labour), minimum wage,
overtime, workplace standards, health and security of workers.

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�2nd International Symposium on Sustainable Development, June 8-9 2010, Sarajevo

It is generally agreed that, in Turkey, there is an informal economy as well as the informal one and an unregistered
employment beside the registered. Today, it is obvious that one of the most challenging problems economies have
faced is informal economy and unregistered employment (TUSIAD, 2002, p.96).
In 2009, According to the latest published survey results, the ratio of persons who worked without any
social security related to the main job inclined to 42.3 % with 1.5 percentage point increase. The share of persons
who did not have any social security in agriculture increased from 84.5 % to 85.8 % and that in non-agriculture
increased from 28.6 % to 28.7 % compared to the same period of the previous year
(http://www.turkstat.gov.tr/PreHaberBultenleri.do?id=6229, 20 April 2010). By the expansion of types of flexible
employment, employment of women, retired, young and handicapped labour force who are considered as secondary
labour force have been increased, to participate in economic activities, in work place or at home. Besides that, it is
observed that types of flexible employment are accumulated in product lines with low-demand of capital. For
example, as a consequence of creating new job opportunities being restricted in Turkey, the labour force as
unregistered are employed in product lines which do not require too much capital such as piece-rate wages system in
return for producing at home (DPT, 2001a, p.46)
Shifting production out of plant within the context of the organization of production means flexibility in
organizing the job and provides an opportunity of reducing the production costs in terms of firm. Henceforth,
flexibility in organization is seen by firm as a dominant competition strategy against its rivals (Ġġ KUR, 2003, p.35).
In this respect, flexibility in production and in employment is an inevitable result of competition and is defined as
realization of production out of plant employing outsider workers (TĠSK, 2004, p.34).
Subcontractor application is another method to shift the production out of plant. The factors bringing about
this application are changes in production process, expansion of small and medium-sized firms and the focus on
privatization (Ekin, 2002, p.59). Since small and medium sized firms hold a near-position of subcontractor firm, they
have a considerable share in total number of firms and in total employment and they emphasize the relationship
between informal economy and firm size in Turkey. So, reshaping the subcontractor application within Labor Law
carries considerable importance.
Existence of small and medium-sized firms (SMEs) and shifting the production out of plant; are supported
with the view of which classifies the capital system as dualist―primary and secondary― in acceptance of flexibility
in labor market (Tai, 1994, p.16-17). When taking into consideration that subcontractor application enables firms to
offset labor demand and to shift their production line into secondary sector, it would not be false to see the informal
economy and subcontractor firms operating in this economy as secondary sector in Turkey. Furthermore, allowing
for the operation of private employment agencies within this sector will speed up the tendency of firms towards the
sector.
In Turkey, basically, though subcontractor application became widespread in private sector, it also is
becoming widespread in public sector. Among the reasons, decreasing the production costs in State Economic
Enterprises (KĠT), willingness to work with problem-free worker groups and the thought in which easily privatizing
the State Economic Enterprises are mentioned. Therefore, subcontracting is described the other way of privatization
in public sector (Ekin, 2002, p.35).
On the other hand, it is pointed out that subcontractor application is a key concept in international trade
(Liemt, 1997, p.240). When looking at the examples of subcontractor applications in international field, it is
observed that 32 percent of employers in excessively industrialized countries such as France, Germany and United
Kingdom have shifted their own works to the subcontractors in the last three years and, in Turkey, the number of
subcontractor employers and workers in the lines of business accounts for 15% of total labor force (Ekin, 2002, p.34)
2.2.2.4. Firm Size in Turkey
Since small-sized firms have a more flexible structure, it possible to construct a relationship between
flexibility in labor market and firm size. Firms having a flexible structure, in general, are small and medium sized.
Owing to this structural feature, Firms in this size easily respond to changes in demand of goods and services. In this
respect, the types of flexible employment as competition strategy are more important for these firms.
According to the EU standards, firms employing 1 to 9 workers are defined as micro enterprise; and those
employing 10 to 49 as macro enterprise (Kuruüzüm, 1998, p.37). But in Turkey, there is not a common standard on
determining firm size taking number of workers employed as a basis. According to some determination, firms who
employ 1 to 49 workers are considered small sized firms (http://www.kosgeb.gov.tr/kos.htm). Firms in this size, have
a notably place in Turkish economy. In the same way, the abundance of small-sized firms in number is considered
among structural features of Turkish economy (Bulutay, 1995, p.65).

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Size of Work Places (based on
the Number of Compulsory
Insured Person)
1-3 persons
4-6 persons
7-9 persons
10-19 persons
20-29 persons
30-49 persons
50-99 persons
100-499 persons
500-999 persons
1000+ persons
TOTAL

Number
Compulsory
Insured Person
1,228,315
855,295
613,074
1,198,952
699,524
898,516
848,127
1,753,236
408,122
371,805
8,874,966

of
Share (%)
13.8
9.6
6.9
13.5
7.9
10.1
9.6
19.8
4.6
4.2
100

Source: www.ssk.gov.tr, Insured Person Statistics, January 2010, Table SS15, page 27,

Table 3: Compulsory Insured Person Numbers According To Activity
Branches and Work Place Size (4/a)
According to Table 3, Firms, who employ 1-49 persons and defined as small sized in Turkey, account for 61
percent of total insured labor force. This founding shows, within the new Labor Law, the importance of arranging the
types of flexible employment in terms of labor market in Turkey. Thus, in determining of employers‘ commitments,
firm size is taken as basis and in general small firms have been legally protected ( Kuzgun, 2004, p.5-14).
2.2.2.5. Frequency of Cyclical Fluctuation
In terms of firm, providing working hours to become more flexible during economic crises is crucial in
relation with minimizing the labor costs. Because an anticipated crisis weakens the firms‘ adaptation and prevention
mechanisms of cyclical fluctuations and threats firms‘ operational goals, values and predictions regarding sales and
returns (Dinçer, 1998, p.385).
The economic crises within the context of new Labor Law is accepted being one of the reasons of
flexibilizing working hours and is arranged in scope of the article 65 in case of bringing short working in practice. In
doing that, it is thought that cyclical and intense fluctuations experiencing in economic activities have been
influential on this arrangement (Bulutay, 1995, p.87).
In order to adopt a resolution for short working according to Labor Law, an economic crisis must be a
general crises affecting the whole economy. By this approach, in paragraph (3) of article (3) in the act which
regulates short working and the payment for short working, an economic crisis is defined as ―a situation in which
events occurred in national and international economies give shock to the whole economy and establishments‖
(www.iskur.gov.tr/mydocu/mevzuat /yonetmelik45.html).
A general economic crisis brings about changes in overall economic conditions in terms of firms. In this
respect, it is argued that short working provides facilities to firms to cope with crisis and that short working during
crisis is a key for feasible solutions in terms of firms (MESS, 1999, p.180).
When analysing the demands for short working to Ministry of Labor and Social Security, as of 30
September 2004, it has seen that the whole demands have been made by firms operating in private sector, and that
those firms according to the KOSGEB classification are mostly small and medium-sized (Kuzgun, 2005, p.45-46).
According to Arıkboğa (2001), there is a relationship between the number of employees employed and firms‘
flexible structure and particularly in crisis period, flexibility is a feasible strategy. But, in arrangement of short
working, firm size has not been taken a criterion (Kuzgun, 2005, p.47). This policy, regardless of how big firms are,
is a result of the opinions to protect firms against economic crisis.
While it has been aimed, by short working, to adjust firm‘s demand for labor to shrinking in the level of
economic activities; the negative effects of employee‘s income loses caused by implementing of short working has
been considered to be compensated by the payment for short working. The main determinant in employee‘s
acquiring the rights of short working is the condition in that premium payment must be paid within the prescribed
time limits.

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�2nd International Symposium on Sustainable Development, June 8-9 2010, Sarajevo

Conclusion
Today, being connected to globalization, flexibility in labor market is adopted as a new competition strategy
in terms of firm. By external and internal factors, the introduction of new regulations into the new Labor Law aiming
at flexibilizing labor market has constituted the legal framework in determining firm‘s competition strategy in
Turkey. The importance of new regulation based on numerical flexibility and flexibilizing labor market is vital in
respect to determining competition policies.
Labour market flexibility is seen as an important characteristic of a modern economy. Labor market
flexibility decribes how labour markets function. A flexible and efficient labour market implies higher employment,
and so an economy that is fairer (in terms of, for example, reducing social exclusion), as well as more competitive
and more productive. It also implies an economy that is better able to adapt to the changing economic environment.
External numerical flexibility refers to the adjustment of the labour intake, or the number of workers from the
external market. This can be achieved by employing workers on temporary work or fixed-term contracts or through
relaxed hiring and firing regulations or in other words relaxation of Employment Protection Legislation, where
employers can hire and fire permanent employees according to the firms‘ needs. Internal numerical flexibility,
sometimes known as working time flexibility or temporal flexibility. This flexibility achieved by adjusting working
hours or schedules of workers already employed within the firm. This includes part-time, flexi time or flexible
working hours/ shifts (including night shifts and weekend shifts), working time accounts, leaves such as parental
leave, overtime.
Arranging the both types of flexibility within the new Labor Law enables firms to determine their new
competitive strategies. This arrangement, especially in private sector, will lead employment strategies based on the
distinction between core and peripheral labor force to be emerged, and also will help this distinction to become
common. Besides that, operations of private employment agencies and in general the demand for temporary
employee by firms, both, will bring about a new expansion to the competition among rivals and will expand the
application of the fixed-termed temporary working contracts. In this context, private employment agencies also will
facilitate the applications of numerical flexibility as competition strategy. In the next stage, it is expected that
expansion of flexibility would bring about a fragmented and more informal labor market in Turkey.

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501

�</text>
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                <text>The Importance of Numerical Flexibility In  Turkish Labor Market and Competition Policy</text>
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İÇ, Suleyman
AYGÜN, Mehmet</text>
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                <text>Numerical flexibility, which has been common since Atkinson (1984), can be defined  as a situation where the number of staff and the number of hours worked can be increased or  decreased depending on the demand for labour. Within the "flexible firm model", numerical  flexibility is seen as being designed to facilitate a rapid adjustment in headcount, in line with  short-term changes in the level of demand for labour so that the number employed equals the  number required at any time. Based on Labour Law no 4857, Turkey has adopted this approach as  a competition policy in order to provide flexibility into labor market and to promote the  competition of Turkish firms. Therefore, in this study, flexibility-based tools are discussed and  evaluated in terms of competition policy.</text>
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