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                <text>EFL Teacher Trainees' Perceptions of the Sufficiency of the Coursebooks in terms of Proverb Instruction</text>
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                <text>CAN, Nilufer 
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                <text>Proverbs are formulaic expressions that mirror the culture of a language (Hirsch et al. 2002) and it is said that every native speaker possesses ‘proverb competence’ (De Caro, 1978) which allows them to comprehend and employ those expressions where necessary. When proverbs are used, the speech can become more fluent, natural and colourful (Prodromou, 2003; Sinclair, 1992). For these reasons, proverbs can be influential in the development of communicative competence (CC) which is an essential attribute of a successful language teacher. The research also shows that coursebooks are the main sources in Turkish EFL classrooms where prospective language teachers are learning the language (Can 2011).   Therefore, in this study, EFL teacher-trainees were asked to evaluate the sufficiency of the English coursebooks they used in Anatolian Teacher Training High Schools (ATTHS) in Turkey in terms of proverb instruction. Teacher-trainees as language learners were chosen as a focus group in this study since as the prime users and the reasons why coursebooks are developed they can provide very useful feedback to other stakeholders in the educational system (Cunningsworth 1995; McGrath 2002).   The data for this study were collected using questionnaires and interviews specifically designed for this study. Both qualitative and quantitative analyses of the data were performed and the following results were obtained:  (1)	the bulk of the informants thought that many of their coursebooks did not include a sufficient number of proverbs;  (2)	some students stated that their books incorporated proverbs randomly without adequate instruction;  (3)	all of the informants wanted the coursebooks to include more proverbs and to emphasise the teaching of their various aspects.  The findings of the study highlight the importance of obtaining continuous student feedback for material selection, evaluation and revision; and show how there sometimes might be discrepancies between administrative decisions and users’ needs and perceptions.   </text>
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                <text>Motivation and Student Perception of Acquiring L2 in the Tertiary Education</text>
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Akbarov, Azamat </text>
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                <text>This research concerns the study of the perception of the importance of motivation in English language learning. It aims to find out how important students perceive the importance of motivational factors in arousing their motivation learn EL. Motivation in learning has captured a lot of attention from researchers as a complicated, yet important phenomenon that decides learners’ learning performance. Dornyei (2001, pp.1-2) states that motivation is what influences people’s behavior and it has been largely agreed to play a very important role in determining the success or failure of learners in any learning context. Language learning is, of course, not an exception. In particular, the overall findings of research in ELT show that learner’s positive attitudes and motivation are related to success in second language learning (Gardner, 1985, cited in Lightbown &amp; Spada, 1999). As a result, understanding factors that have impacts, either negative or positive, on learners’ motivation is of great importance.     Having given the general content of the significance of motivation in education, it is important to take into consideration that motivation plays a significant and a decisive role in language learning, and the motivational factors are regarded as effective in determining the success or failure of language learning. Among the important contextual factors is the environment where students should have the chance to participate and decide on their learning, students' curiosity should always be aroused and their attention must be attracted in order to guarantee a successful acquisition of the foreign language. Other motivational factors considered important in language learning are personality factors, related to the learner himself such as his anxiety, his self feeling and how far his interests are met in the course of learning foreign language. The other important side of motivational factors is related to the instructional factors, and how far the teacher is capable to enhance students' motivation to learn through proper interaction. The issue of motivation in language learning and student perception of studying English language will be discussed in further details through my paper.  </text>
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                <text>During the course of their English language studies, many students are asked to learn various kinds of idiomatic expressions in English, ranging from phrasal verbs to idioms. While learners may be able to memorize the standard meanings of such phrases, they frequently lack the contextual knowledge in order to use them appropriately. This presentation will describe a series of classroom activities conducted with 20 first-year English language students at the University of Tuzla in Bosnia &amp; Herzegovina.  The activities are designed based on cognitive theory of metaphor and metonymy (Lakoff and Johnson 1980, Kövecses 2002, Radden &amp; Kövecses 1999) and are intended to bridge the gap between learners’ understanding of meaning and usage of idioms.  Specifically, these activities will encourage learners to hone their fluency via appropriate use of idioms while also suggesting ways for instructors to devise assessment mechanisms for appropriate use of these phenomena. The benefits of linking cognitive linguistic theory to meaning-focused classroom approaches and materials design will also be discussed. </text>
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                    <text>Journal of Economic and Social Studies

Roles of Investment and Innovation in Business Cycle from
Kalecki’s Perspective with a Schumpeterian Approach: An
Empirical Analysis for Turkey and Greece
Başak Gül AKTAKAS
Faculty of Economics
Çukurova University, Adana, Turkey
bgaktakas@cu.edu.tr

Cengiz AYTUN
Kozan Vocational School
Çukurova University, Adana, Turkey
cengiza@cu.edu.tr

Cemil Serhat AKIN
Yayladagı Vocational School
Mustafa Kemal University, , Hatay, Turkey.
csakin@mku.edu.tr
Abstract: Business cycles are one of the best sources to understand current situation
of a country’s economy. Michal Kalecki denotes investment as the best explanatory
for the dimension and reason of cycles; on the other hand Schumpeter considers
that innovation should be placed in a different position in this regard. In
addition, both Kalecki and Schumpeter verify that investment and innovation are
related with each other because innovation is also an important subject for
investment. It is expected that investment and innovation have the effect in the
same direction on output. In this study, business cycles have analyzed for 19712009 period by using the yearly data in Turkey and Greece and it has been dealt
effects of investment and innovation on cyclical fluctuation. In this paper which
growth rates have been discussed, ordinary least square estimation method has
been used. In this respect firstly, it has been examined that the effect of innovation
on investment and income. After that examined that effect of investment on
output and finally innovation and investment have been evaluated by considering
the effects on the output. It has been found that the obtained results support the
views of Kalecki for both of the countries.

KEYWORDS:

Investment, Innovation, Business
Cycles, Michal Kalecki

ARTICLE HISTORY

Submitted: 05 March 2012
Resubmitted: 12 May 2012
Resubmitted: 06 December 2012
Accepted: 24 December 2012

JEL codes: E12, E22, O31

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�Başak Gül AKTAKAS, Cengiz AYTUN &amp; Cemil Serhat AKIN

Introduction
Business cycles are the one of the important topic which macroeconomics has
focused on. In this context, it has been seen that emphasis on balance results. Some
of the neo-classical economists' perspective on this issue is how output and price act
together throughout the cycle (Sawyer, 1985). In spite of these dominant views, it is
seen that Post-Keynesians consider differently for the business cycles. In contrast to
the main economic streams which see the all macroeconomic cycles as a function of
external powers, Post-Keynesians think that business cycle is derived from internal
powers (Snowdon and Vane, 2005; Harvey, 2011).
It is seen that Kalecki who is one of the precursors of Post-Keynesian economics
shares this view and creates a difference along with his views on business cycles.
Kalecki refers specifically a central role for investment because of the effect on
demand and output. According to him, the main reason of these cycles is resulted
from the differences in investment. The determiner role of investment upon output
presents his opposite views about Orthodox economic streams. Besides, it is seen that
innovation has a significant place in the subject of investment. Whereas innovation
has a positive effect on investment, herein the output has an effect in the same
direction as well. Whilst Joseph Schumpeter deals with the effect of innovation upon
output as a different topic all by itself, Kalecki shows investment as the main source
of the shifts of output. However, there are some ideas which supports both
investment and innovation have an effect on output together as dependent on
conditions in current period (Courvisanos and Verspagen, 2004).
In this study, it is addressed that the issue of cyclical fluctuations. In this regard, it
has been examined relationships of investment and innovation with output for
Turkey and Greece. Firstly, it will be given some information about primarily role
attributed to investment as to Kalecki. Then, the connection of this topic with
innovation will be placed. Afterwards, taking the topic as investment and innovation
together, their relationship with business cycles will be handled. Lastly, after
examining the effect of innovation for Turkey and Greece separately for both

96

Journal of Economic and Social Studies

�Roles of Investment and Innovation in Business Cycle from Kalecki´s Perspective with a
Schumpeterian Approach: An Empirical Analysis for Turkey and Greece

investment and output, the effect of innovation and investment upon output will be
dealt as being combined. The contribution of our study to the literature is
composing an application upon Turkey and Greece by analyzing a concept within
Kalecki perspective together with a Schumpeterian innovation idea.
Theoretical Explanations
It is seen that Kalecki, who is one of the leaders of Post-Keynasian economics, shows
a difference with his views on business cycles. According to him, the growth models
of today tend to be solving this problem being away from controlling stability. In
addition, these models do not adopt the approach which is applied in the business
cycles theory. Business cycles theory is composed with the foundation of two
relationships. The first one depends on the effective demand effect which is created
by investment. Here, investment is investigated within its role upon profit and
national income. This relation does not include complicated problems. The other
relationship is related with the way of determination of investment decisions to show
the exchange ratio and level of economic activity. According to Kalecki, it is the
most central topic of economics (Kalecki, 1968). In the approach presented by
Kalecki to explain the business cycles, it is stated that cycles in investment
expenditures is the basic factor, which created the macroeconomic change. The
changes in investment have to be dealt in the respect of a growing economy. Because
of the additional investment made upon the capital stock, an improvement occurs in
economy and a growth expectation creates a net investment demand (Sawyer, 1985).
The analysis of Kalecki takes the total levels into consideration and gets the
conditions together which are not applicable only in firm level but also in total
levels. The marginal efficiency of capital subjects to general demand level which
depends on investment expenditures. If the firm plans more investment in the future
period, demand and hence profit will be higher, due to the increased investment.
Then the marginal efficiency of capital will be increased and the firms will therefore
begin to plan to increase the investment again. This cumulative perspective towards
the investment has been overlooked by not only Keynesians but also Neo-Classicals
(Sawyer, 1985).

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Kalecki, who developed many models about investment, gave the final shape to the
investment model in 1968. Kalecki has improved a model in which consistently
movement exists via a short-term and semi balanced sequence. Moreover, this
movement will not return to any point of ultimate equilibrium and be cyclical
because the business cycles continuously occur. According to this, it is supposed that
the demand extending is a needed condition for growth in a long term and a
sufficient one in the model of Kalecki. Indeed, the long term effective demand
theory of Kalecki is the long term investment decisions theory. According to him,
investment under capitalism is the main determiner of aggregate demand (Lopez and
Assous, 2010).
The proceeding of business cycles mechanism presented by Kalecki could be seen in
Figure 1 (Kalecki, 1990):
Figure 1. The Mechanism of the Business Cycle

Source: Kalecki, 1990

98

Journal of Economic and Social Studies

�Roles of Investment and Innovation in Business Cycle from Kalecki´s Perspective with a
Schumpeterian Approach: An Empirical Analysis for Turkey and Greece

θ : The time-lag between investment orders and obtaining of new equipment
D : The curve of obtaining of new equipment
I : The curve of investment orders
A : The curve of the production of investment goods
K : Volume of capital equipment
t : Time
In the Figure 1., investment orders (I) shows deviations from the average to produce
of investment goods which is equal to gross capital accumulation (A) and obtain of
new equipment (D); that is, I-I 0, A-A 0 , D-D 0 . The all averages (I 0 , A 0 , D 0 ) are equal
and also equal to the need of renewal. While the D curve is positive, K will increase
throughout this cycle (D ↑ K ↑ ; D↓ K ↓ ).
In the current mechanism, it is accepted that the production of investment goods is
equal to the gross capital accumulation. This is possible when the investors stay in a
constant ratio. The obtaining of new fixed assets results in an enlargement in the
volume of capital accumulation. This case can be illustrated in the shape as D-U.
Herein U shows the need on renewal. This need stays fix in the course of business
cycles. While the investment orders (I) is an increasing function of gross capital
accumulation (A), the size of capital equipment is a decreasing function. When the
D curve which shows the delivery curve is shifted within a course of time in an
amount as θ to the place where the investment orders curve is I, the investment
goods production curve-A catches the investment orders curve -I within a course of
time as the half of θ (Kalecki, 1990). Kalecki states that there is a sharp line between
investment decisions and realized investment expenditures. This difference is derived
from the fact that there is a time difference between them. It takes time that goods
are prepared for using. At the same time, firms can reschedule or cancel their
investment orders in return of the change in the economic and political conditions.
Therefore, why the most of investment goods are not achieved immediately is
clarified in this sense (Laramie et al., 2004; Sawyer, 1985).
99

�Başak Gül AKTAKAS, Cengiz AYTUN &amp; Cemil Serhat AKIN

The process generally operates in following way (Kalecki, 1990): An increase in the
order of investment goods results in another increase in the production of
investment goods. This production increase is equal to the gross capital
accumulation. As a result of this, a rise in investment activities occurs. Yet, after a
course of time when investment orders exceed the need on renewal, the volume of
capital equipment begins to increase. Initially, this case restricts the investment
activity which is already increasing. On the other stage, it causes a decrease in the
investment orders. It is actually impossible to stabilize the investment activity in a
ratio that exceeds the need on renewal. Indeed, if the investment orders stay in a
constant level, the production of investment goods, which is equal to gross capital
accumulation, will stay unchanged. In addition to this, while the capital equipment
is increasing, the investment will be greater than the need on renewal. However,
under these sorts of situations, the investment orders will begin to decrease and move
away from a fixed investment level.
During the depression, the process will reverse. The investment orders are far away
from the need on renewal. This case affects negatively the volume of capital
equipment. As a result, a process in which an increase in the investment orders is
taken back occurs. Stabilizing the investment in a lower ratio than the level, which
establishes a sufficient renewal, is as impossible as stabilizing in a ratio, which exceeds
the renewal need.
In the recovery period, the investment orders are above the renewal need. Yet, the
need on capital equipment has not begun to increase because the delivery of new
equipment is still below the need on renewal. The production of investment goods
(A) is equal to gross capital accumulation and increasing, but there is still a reduction
in the size of equipment (K). When all of these occur, the investment orders increase
rapidly.

100

Journal of Economic and Social Studies

�Roles of Investment and Innovation in Business Cycle from Kalecki´s Perspective with a
Schumpeterian Approach: An Empirical Analysis for Turkey and Greece

Throughout the boom period, the obtainment of new equipment has already begun
to exceed the need on renewal. As a result, the capital equipment (K) begins to
increase. The increase on K restricts the rate of increase on investment orders at the
beginning. This results in the diminishing of investment orders after all. In the
second half of revival period, this is followed by a decrease in the production of
investment goods.
During recession, the investment orders take place below the need on renewal.
However, the volume of capital equipment still continues to increase because the
new equipment deliveries still above this level. In this whole process, the production
of investment goods which is equal to gross capital accumulation continues to
decrease. This decrease occurs together with an increase in K. In this case, a sharp
decrease happens in the investment orders.
Within the depression period, the new equipment deliveries are still below the need
on renewal. As a result, the capital equipment decreases. This decrease in K reduces
the velocity of decreasing of investment orders firstly. Hence it results in the increase
of investment orders. It is followed by an increase in the production of investment
goods in the second half of depression period.
As can be seen, the investment orders, capital accumulation and capital equipment
are the elements, which make up the business cycle. Here, changes of the abovementioned factors are taken into account correlated with each other. In addition to
all these, the capital accumulation exists within the concept of innovation
(Courvisanos, 2005). The concept which is handled within the context of
innovation is the technology (Kalecki, 1962). Technology is the stimulator of the
change and economic growth. The contribution of Post-Keynesians in this context is
a technological innovation concept which is demand centred. This mentioned
innovation helps the increase of volatility which is created by the economic growth
and modern neo-liberalism. Actors for Post-Keynesians have a central role on
determining the technological innovation. It is accepted that those actors are
capitalist. These capitalists set a relationship between innovation and the
determinacy of investment decisions. Indeed, the items belonging to shifts in

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�Başak Gül AKTAKAS, Cengiz AYTUN &amp; Cemil Serhat AKIN

effective demand and cycle are related with the cumulative process in all shapes of
innovation at the firm/industry level on the broad base (Courvisanos, 2005). The
classical proposal of an investment model which contains innovation is come up
with Schumpeter. According to him, it is seen that wave action, namely the cycle, is
embraced on an economic development base under capitalism. Real economic
development1 and growth depend basically on the increase of productivity which is
based on innovation. For Schumpeter, this view covers many steps: presenting a new
good or bringing a new quality to a good; switching on a new production method,
opening a new market, obtaining the new supply sources and finally actualizing a
new activity type, which will be realized in any industry. The person who will make
these all is the entrepreneur. This discussed person is the same actors whom a central
role by Post-Keynesians is given, and the economic growth will begin when an
entrepreneur applies an innovation which presents to him an extra monopolistic
income. One of the reasons of in terms of imperfect competition outlook of
Schumpeter on this topic can be considered as if pure competition does not result in
high profitability. In such case, new reasons for innovation is out of question as well.
Another reason is that the pure competition can not provide an inducement for
capitalist, and the entrepreneur takes on the risk and uncertain projects because this
type of competition can not guarantee an award in the form of extra income. What
is more certain is that switching on the new technologies and new activity types, the
innovations create a surplus of income on the costs. Competition is prone to
eliminate these excess returns, but the diffusion of monopolistic structures and the
power of large enterprises on enlarging ability about innovation recreate constantly
these incomes again (Schumpeter’s study as cited in Michaelides etc, 2010; Ferlito,
2011). The analysis of Kalecki is composed under a different roof from a free
competition hypothesis. According to this, imperfect competition and oligopolies
structures dominate the market (Sardoni, 2011). As understood from these
structures, Kalecki states that business cycles are derived from the cycles in private
industrial enterprises in a capitalist economy. Capitalists receive their expenditures.
The expenditures made upon investment are cyclical (Osiatynski, 1992).

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Journal of Economic and Social Studies

�Roles of Investment and Innovation in Business Cycle from Kalecki´s Perspective with a
Schumpeterian Approach: An Empirical Analysis for Turkey and Greece

According to investment-profit relation presented by Kalecki, two determiners of the
real profit increase of new investments are discussed. The first determiner appears in
such a case that technical process is overlooked for a moment when new investment
catched the yearly increase of profit in only a small part. Kalecki builds his
arguments on imperfect competition due to the tendency on being held by market
forces, old equipment and the previous profit in the market. The second determiner
emerges in the existence of the technical process. The new equipment which is more
productive than the old one includes a new income. In the mean time, the profits
gained from old equipment for given total volume of profit drop with the same
amount because the real cost of using these goods increase, as a result of using the
new ones (Lopez and Assous, 2010; Sawyer, 1985). If the investment is put forward
in order to maintain the profitability, there will be both a positive expansion effect
and a negative "kickback effect". If the positive effect is embraced as to the demand,
it is the one, to increase the profitability of investment. The negative effect presented
by Kalecki reveals at the supply side. As to this, if a demand increase occurs, the risk
of decreasing profitability will be engaged (Lopez and Assous, 2010; Asimakopulos,
1971; Driver, 1994; Toporowski, 2003).
A risky profitability and even a decreasing profitability ratio make the investments
more fragile. Investment is more intensive towards a collapse case. If it is looked at in
the historical context, this sort of a high sensitivity can be identified with the
increasing financial costs and gearing ratios and decreasing utilization ratios. In the
Post-Keynesian analysis, one of the main factors of intensivity is innovation. This
factor associates with investment decisions (Courvisanos and Verspagen, 2004).
As it is seen the susceptibility relation between the investment and innovation as to
the perspective of Schumpeter, an investment function is drawn attention in
response to the cycles of optimism and permission defined by him. This function
causes an innovation cluster. Therefore, a bunch of investment arises. This case
generates susceptibility towards unstable investment activities and actually develops a
trigger mechanism to start new innovation systems which have long cycles. Herein, it
should be stated that the thing which results in long cycles in economy is the results
of the innovation cluster (Courvisanos and Verspagen, 2004; Courvisanos, 2003).

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In order to analyze the relationship among the Schumpeterian and Kaleckian
dynamics, a differentiation between the three stages of Schumpeterian basic
innovation life cycle and the high and low intensivity cases in Kaleckian cycle. This
situation can be seen more clear in the following table (Courvisanos and Verspagen,
2004):
Table 1. The relationship among Schumpeterian and Kaleckian dynamics
The Basic Stages of
Innovation’s Life

The Low Intensivity of Investment

The Primitive
(Undeveloped) Period

The most appropriate conditions for
the “take off paradigm”, which are
fragile and sensitive rises, being
The possible obstacles in the
formed with the diffusion of new
diffusion of new main innovation.
technological system at the
beginning stages.

Middle (Early or
Developing) Period

Long, fast, and strong rises, the fast
diffusion of new technological
system.

Short, weak falls, the slow diffusions
of new technological system.

Maturement Period

The rapid development of
intensivity: Short and weak
improvement, the pressure for the
crash of old paradigms.

Strong and rapid declines, possible
long straits “sailing ship effect” as
the most appropriate conditions.

The High Intensivity of Investment

Source: Courvisanos &amp;Verspagen, 2004.

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�Roles of Investment and Innovation in Business Cycle from Kalecki´s Perspective with a
Schumpeterian Approach: An Empirical Analysis for Turkey and Greece

As it is seen in the Table 1., the increase of innovation has an important place in the
early and matureness stages. The abundance of technological opportunities (scarcity)
shows a difference as the early (matureness) periods. An old basic innovation's
matureness period generally overlaps with a new basic innovation's primitive
(undeveloped) period, because of the "creative destruction". Therefore, the
differentiation of the first and last stages is hard in practice.
The Kaleckian and Schumpeterian cycles are fed by different extensions throughout
the periods different from each other. When the basic innovations are new and
newly made, they generate a cluster of innovation. At this point, the Schumpeterian
cycle is strong. When the cycle is weak periods, the basic innovations will be
exhausted. These types of different pressures in business cycles affect directly the
investment decisions process. Disappearance of low susceptibility, strong strategic
competitive pressures and investment obstacles encourages the technological
innovation. In spite of this, high susceptibility prevents the technological innovation
by way of largely prevent the diffusion of innovation and increase the pressure for
the postponement of investment decisions (Courvisanos and Verspagen, 2004).
The amount of innovation will not only affect the enhancement of investment cycles
but also change the trend growth line, via vicious circle if it is hard and severe,
otherwise via a productive circle. The effect generated by the productivity of cycle
exists when the density of innovation increased. This increase reveals with the
increase of investment activities and the shift of trend line upwardly (Courvisanos,
2003). According to Kalecki, innovation has a cyclic trend effect on the investment
function. This important factor is the innovation effect on the investments which
generates an increase in the productivity owing to the technical process2
(Courvisanos, 2003; Kalecki, 1968). Kalecki who admits the innovation as a
development factor also accepts that this factor is an explanatory for the long- term
upward trend (Richardson and Romilly, 2008). This positive effect of technological
innovation on growth reveals because of its positive relation with employment in the
meantime. This effect involves a common perception for not only Schumpeter but
also Kalecki (Gamulka, etc., 1989). Being one of the main components of
autonomous expenditures, a high investment means a high total demand and output
level. Output's being at a high level will reflect a high profitability and capital

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utilization ratios. In this case, for the next period, it will generate a tendency towards
stimulating high investment ratios and output. If the investment decisions are
indifferent to capital utilization and the changes in the profitability relatively, the
time path followed by the output will converge to the long term equilibrium (Skott,
2003).
Conversely, if there is the high sentiment of investment, this situation makes it
difficult to reach long-term equilibrium. Economy can not turn into the
equilibrium, but move into a more point (Skott, 2003). The effect of a hard and
severe cycle will show itself in the downward movement. A low technical process will
mean a low investment inducement. For instance, the firms which can not compete
with new firms and make innovation will be harmed and new investment will be
limited. Therefore the facilities presented by innovation will be exhausted. According
to Schumpetter, this downward tendency coincides the same period with recession.
This decrease continues because of optimism excess and faults. Indifferent, faithless
and other unsuccessful enterprises occur in the excess of optimism. This discussed
type of entrepreneur can not engage in successful activity during the recession
periods. This kind of enterprises is eliminated and eventually a status panicus will
exist. Due to firms’ not maintaining out of action pressure, a decrease in their
activities will occur. This case pushes them under the balance level they exist. This
case coincides with depression in Schumpeterian cycle. This case on being at the
bottom will continue until all investments will be rectified. When this point is
reached, there will be a new movement towards the balance (more precisely towards
a point, which is near to the equilibrium) and this stage will correspond to the
“revival” in Schumpeterian model (Schumpeter’s study as cited in Michaelides etc,
2010; Courvisanos and Verspagen, 2004; Courvisanos, 2003; Sawyer, 1985;
Michaelides etc, 2010).
Innovation changes the types of susceptibility as to whether it is internal or external.
The internal and external innovation determines how the innovation passes into the
process of cumulative causality (Courvisanos and Verspagen, 2004). The concept
used by Kalecki in order to show the given capital investment level with the density
of innovation is the “external innovation”. As to this, any shift in the density of
innovation is derived from the basic business opportunities which are defined as the
source of a scientific invention or innovation. Indeed, a decrease in the density of
innovations will cause a deterioration in business cycles at first. Therefore, it will be

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�Roles of Investment and Innovation in Business Cycle from Kalecki´s Perspective with a
Schumpeterian Approach: An Empirical Analysis for Turkey and Greece

suggested that a collapse case has occurred. Eventually, a lower long-term
investment level will occur (Kalecki’s study as cited in Courvisanos, 2005). This
condition will result in a downward shift in the long term. Because, if an increase in
the density of innovation occurs, the line followed by the economic growth in the
long period will be upward. As to Kalecki, a stable growth ratio is an increasing
function of the density of innovations. In the contrary case, downward swings will
occur. This kind of an approach has a close relation with Schumpeter’s “clust-bun”
effect3 (Kalecki, 1962; Courvisanos, 2005). Moreover, the internal innovation has
also similar meanings for Kalecki and Schumpeter.
The concept considered as internal innovation by Kalecki seems as the increasing
innovation for Schumpeter. The development period seen as the second phase of a
basic innovation in Table 1 provides appropriate conditions for this innovation type.
This type of innovation is rather seen in entrepreneur activities and involves new
investment expenditures. When Kalecki is dealt with in relation to investment cycle,
this kind of an innovation is named as internal. In the perspective of Kalecki upon
innovation the internal innovation has a secondary importance regarding the
scientific aspect. This situation is arisen from three reasons. The first one is the
insignificant condition of adapting the previous capital equipment. The second one
is the esthetic improvement of the old goods. And the last one is related with the
improvement of the sources of previous raw material. This kind of innovations is
named as internal. Because this is a cycle in which it stimulates innovation and the
increase of investment order level by itself. The analysis with the internal innovation
occurred in a Kaleckian macro economy, focuses on how this kind of innovations
with will increase at the firm or industry level and eventually affect the economy.
When a firm decides to increase the investments at a relatively low sentiment level
under competitive pressures and higher suspension costs, the research-development
(R&amp;D) investments in the past gets ready to realize these innovations. R&amp;D
expenditures have an important place in the internal innovation process in which
strong firms with great profits exist. These profits provide the increase of R&amp;D
expenditures. R&amp;D investments increase the strategic profitably capacity of firm
effectively. In an industry in which the innovation has a regular competition
strategy, R&amp;G expenditures will be great and change under susceptibility pressures
like capital expenditures. When the innovation is made occasionally in an industry,
R&amp;D expenditures will be small and relatively fix on the investment cycle.
Nonetheless, firms at the high susceptibility level are under the pressure of the

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suspension of investment orders. This state includes the same process for the internal
innovations. Nevertheless, the R&amp;D activities which generates the patents are meant,
and the decrease of these activities is possible in respect of process (Courvisanos and
Verspagen, 2004; Courvisanos, 2003).
In our study, Kaleckian and Schumpeterian cycle for the two Balkan States as
Turkey and Greece is analyzed. According to this, after the effect of internal
innovations on the investments and income is handled separately for both countries
taking the decisiveness of investments on business cycle into consideration, the
investment-national income relation will be tested. In this way, the effect of
investment and internal innovation upon national income for both Kaleckian and
Schumpeterian perspective will be primarily tested separately, and included into the
model in an aggregated manner.
Related Literature
Klette and Kortum (2004) have attempted to present the relationship between
innovation and growth in their articles in which it was stated that Schumpeterian
“creative destruction” concept diffuses into all of their studies. The measurement of
the innovation output is made according to the patent data about which it is stated
that it has a positive correlation with productivity and research-development.
According to this, it is stated that firms are getting bigger with making innovation,
and economy is getting bigger, because the quality of innovation product set
increased (Klette and Kortum, 2004). In the study of Aghion and Howitt (1992),
they emphasize that a successful innovator will have a patent exists. It is stated that
this bellowed right can be used in order that the innovators keep the intermediate
goods in their monopolies. In the available their studies, it is stated that growth is
derived from technological process at a large scale. The developments in the
technology are seen as a result of the competition among the firms which make
innovation (Aghion and Howitt, 1992). Supporting this argument in their studies,
Lentz and Mortensen (2008) shows that the more productive firms grow more
rapidly and eventually in the steady state, they are excluded from the less productive
firms. A more innovator firm, namely the one which got its good involved into a
qualified development process can set the higher price and will be in a more
profitable status. As a result of this, the firm invests more on innovation and
relatively gets bigger more rapidly (Lentz and Mortensen, 2008). It is seen in the

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�Roles of Investment and Innovation in Business Cycle from Kalecki´s Perspective with a
Schumpeterian Approach: An Empirical Analysis for Turkey and Greece

study of Allred and Park (2007) in which they have dealt with the relationship
between patent and innovation in both national and firm level, two different results
for the developed and developing countries exist. According to this, there is a
positive linear relationship between research-development and getting patent. Yet as
this result is proved in the countries in which patent system is developed very well,
because innovation of patent right stimulate at a large scale, this kind of a case is not
valid for developing countries. Andres and Goel (2012) tests inversely the effect of
items which affect the innovation like patent on growth. In their study which
examined effect of software piracy on economic growth for the in the medium-term,
they found negative relationship between the two variables. Great computer
software reduces the economic growth. However, the relationship among these
factors is not linear. Decrease in the economic growth reduces piracy. The low piracy
ratios, slows down the growth, due to decreasing investments (Andres and Goel,
2012). By obtaining a result, which is reverse to the general, Gangopadhyay and
Mondal (2012) state that intellectual property rights which represents patent in our
study might not always stimulate the innovation or economic growth. The key point
in these findings the assumption that the free circulation of the right of which license
is given might prevent the diffusion of scientific knowledge and the reveal of the
talents of researches on the previous studies. According to the findings obtained, the
intellectual property rights of which license was taken are increasing the benefit
which is expected from innovation and because of the limited knowledge diffusion,
they are complicating the innovation future (Gangopadhyay and Mondal, 2012).
While the elements effecting on innovation and the effect of these factors on output
with innovation are generally in this way, in the recent periods, it presents with the
production function of neoclassical statement, it is seen that a different result is
focused on. According to this standard function, output is taken as a function of
labor, capital and technological innovation. Looking at the recent studies, it is seen
that the relationship between fixed capital investments and output has been dealt.
The studies of De Long and Summers (1992) seems to us as a study in this sense like
a sample and provision study. Their analysis is set on the assumption that there is a
strong relationship between the machine-equipment investment and growth.
According to this, the equipment investment is a pushing force in a role for
economic growth (De Long and Summers, 1992). Temple concluded in his study in

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which he dealt with the relationship between machine-equipment investment and
growth that the social bring out of the fixed capital investment for the developing
countries is at very high levels. According to this, it is detected that in this set of
countries, the machine-equipment investments has a central role on the growth of
countries (Temple, 1998). Madsen’s study (2002) in which he questioned the
causality relation between investment and economic growth supports this finding.
Madsen has a result that machine-equipment investment is heavily effected by
supply and as well demand factors when he has also concluded that demand items
only effect the investments in the structures. For the latter, the direction of causality
is from income towards investment. Both demand and technological process are
effective on machine-equipment investment. According to this, it is concluded that
there is no feedback from growth to investment in effect (Madsen, 2002). In
Crowder and Jong (2009)’s investigations in the continents as Asia, Africa, Europe
and America, they have found two-way relationship generally between output and
fixed investments. As Kalecki supports as well, the causality relationship which is
from investment to output keeps the validity at %19 for all the countries included in
Crowder and Jong’s studies (Crowder and Jong, 2009). In Herrerias and Orts’
analysis (2012) for the machine-equipment investment and growth, the long-term
causality relation is valid for China. This case is true of all models predicted. Along
with it regarding the period dealt, it is mentioned that the investment usually
increases more rapidly that GDP. It is seen that the equipment investment is
obtained via the positive relationship between both the output and productivity
(Herrerias and Orts, 2012).

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�Roles of Investment and Innovation in Business Cycle from Kalecki´s Perspective with a
Schumpeterian Approach: An Empirical Analysis for Turkey and Greece

Data and Empirical Methodology
For the model to be used in the article, the study done by Courvisano and Verspagen
(2004) is followed. In the discussed study, as to Schumpeterian and Kaleckian
dynamics, an effort of study, which covers the years 1870-2000 for United States,
United Kingdom, Japan, Germany and France, has done. At the end of the study,
getting the approaches of Kalecki and Schumpeter together an aggregated
application has done. The way followed in our available study is an application
which has been done by both composing Kaleckian and Schumpeterian dynamics
and separately using them. When Kaleckian cycle is integrated Schumpeterian
innovation it can seen that there is a strong relationship between life cycle of
innovation and susceptibility of investment. Thus, they influence together to length
of wave. However, in our study there are two differences. Firstly, in the aim of using
gross domestic product (GDP), a different path has followed. While Courvisanos
and Verspagen (2004) take GDP data as a profitability indicator, we included the
data as a real national income, along with its meaning represented, into our
applications. Because, looking at the aim of the handling style of article in Kaleckian
and Schumpeterian business cycles approaches, it is seen that GDP is evaluated by
regarding its self-significance. Secondly, it can not been analyzed a long period in the
followed article. Because fixed capital investment and gross domestic product data
are not available for Turkey. Meantime, being appropriate to the followed model in
our study, the patent serial has taken representing the internal innovations, and the
fixed capital investments have used representing the investments.
The sample period covers quarterly data from 1971 to 2009. The raw data have been
collected from OECD (Organization for Economic Co-operation and Development)
data set. Being studied in different countries, taking the data from the same source
has paid attention. All variables have been included in the analysis in terms of
growth ratio. Gross domestic product and fixed capital investment variables are used
with 2005 based prices. In this paper used variables which are gross domestic
product (GDP), fixed capital investment (FC) and patent numbers (PT) is consistent
with Kalecki and Schumpeter’s approaches. According to this, patent numbers are

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efficient on fixed capital investment and length of cycles. On the other hand, fixed
capital investment influences size of business cycles. After all these effects are handled
separately for both Turkey (TR) and Greece (GR) being aggregated a gathered
evaluation will be done.
The Ordinary Least Square (OLS) estimation method has preferred, as series are
constant at the level and testing the average relation among variables in a sense being
mostly real-alike. Therefore, OLS method has used to be on the point of patent
explanatory variable in order to show the relation between investment-patent and
GDP-patent. In addition to this, in order to see the effect of investment upon GDP
and in respect of presenting the relationship of investment with GDP in a way by
embracing it with innovation, again the same method has applied. In this study, auto
correlation, heteroscedasticity and normality tests have done, and any problem has
not met.

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�Roles of Investment and Innovation in Business Cycle from Kalecki´s Perspective with a
Schumpeterian Approach: An Empirical Analysis for Turkey and Greece

Empirical Results
In this part empirical results are given in order. In the first section unit root test
results are given. Second section presents the ordinary least square test results.
Unit root test results
The results from unit root tests are given in Table 2 and suggest that all the variables
are integrated of the same order, i.e. I(0).
Table 2. Unit Root Test Results
Variables

Level
ADF

ADF_Prob.

Greece

KPSS
Turkey Greece

Turkey

Greece

Turkey

GDP

-5.6057 [0]*

-4.6138 [0]*

(0,0000)

(0,0007) 0.0866

FC

-6,5636 [0]*

-5,2418 [0]*

(0,0000)

(0,0001) 0.0615 0.1046

PT

-5,6586 [0]*

-5,9044 [0]*

(0,0000)

(0,0000) 0.0628 0.1374

0.182

The critical values with constant for the ADF and KPSS are from Davidson-MacKinnon (1993) and
Kwiatkowski, etc. (1992). Lag length in [ ], Asterisk (*) shows significance at 5% level.

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Ordinary least square test results
The results from ordinary least square tests are given in Table 3-4-5-6.
Table 3. Patent-Fixed Capital Investment Relationship
Independent Variable

Coefficient

Std.Error

t-Statistic

Prob.

Turkey

Greece

Turkey

Greece

Turkey

Greece

Turkey

Greece

C

0.0738

0.0288

0.0261

0.0176

2.8201

1.6314

0.0077

0.1113

PT

-0.2295 -0.0223

0.0829

0.0237

-2.7689 -0.9403 0.0087

0.3531

R-squared

0.1716

0.0233

Adjusted R-squared

0.1492

-0.0030

F-statistic

7.6668

0.8842

Prob (F-statistic)

0.0087

0.3531

Model 1: ΔFC=β 0 + β 1 PT

ΔFC TR =0.0738 - 0.2295PT
(0.0261) (0.0829)

ΔFC GRC =0.0288 - 0.2223PT
(0.0176) (0.0237)

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�Roles of Investment and Innovation in Business Cycle from Kalecki´s Perspective with a
Schumpeterian Approach: An Empirical Analysis for Turkey and Greece

According to this result, the positive relationship between innovation and investment
was not validated for both countries. Moreover, it is seen that the force on explaining
the shifts in the fixed capital investment with patent is considerably weak.
Table 4. The Effects of Fixed Capital Investment and Patent on Gross Domestic
Product
Independent Variables

Coefficient

Std. Error

t-Statistic

Prob.

Turkey

Greece

Turkey

Greece

Turkey

Greece

Turkey

Greece

FC

0.1831

0.2454

0.0264

0.0315

6.9188

7.7813

0.0000

0.0000

C

0.0303

0.0200

0.0048

0.0034

6.2508

5.7664

0.0000

0.0000

R-squared

0.5640

0.6207

Adjusted R-squared

0.5522

0.6104

PT

-0.0540

-0.0028 0.0203

0.0074

-2.6519 -0.3866 0.0117

0.7012

C

0.0444

0.0268

0.0055

6.9154

0.0000

R-squared

0.1597

0.0040

Adjusted R-squared

0.1370

-0.0228

0.0064

4.8141

0.0000

Model 2: ΔGDP=β 0 + β 1 FC
ΔGDP TR =0.0303 + 0.1831FC
(0.0048) (0.0264)
ΔGDP GRC =0.0200 + 0.2454FC
(0.0034) (0.0315)

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Model 3: ΔGDP=β 0 + β 1 PT

ΔGDP TR =0.0444 - 0.0540PT
(0.0064) (0.0203)

ΔGDP GRC =0.0268 - 0.0028PT
(0.0055) (0.0074)

According to Table 4, there is a positive relationship between fixed capital
investment and output which supports Kalecki’s argument for Turkey and Greece. It
is seen that while the 56% of GDP changes in Turkey is explained with fixed capital
investments, this ratio for Greece is found as 62%. Conversely, the positive
relationship between innovation and GDP which is confirmed by literature is not
validated for both countries. It is seen that the force on explaining on changes in
GDP with patent is considerably weak.

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�Roles of Investment and Innovation in Business Cycle from Kalecki´s Perspective with a
Schumpeterian Approach: An Empirical Analysis for Turkey and Greece

Figure 2. The Path Followed by Fixed Capital Investment and GDP Together for
Turkey
.6

.4

.2

.0

-.2

-.4
1970

1975

1980

1985

1990

GDPTR

1995

2000

2005

FCTR

Figure 3. The Path Followed by Fixed Capital Investment and GDP Together for
Greece.
.3
.2
.1
.0
-.1
-.2
-.3
-.4
1970

1975

1980

1985

1990

G D PGRC

1995

2000

2005

F C G RC

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�Başak Gül AKTAKAS, Cengiz AYTUN &amp; Cemil Serhat AKIN

The significant relationship between investment and GDP can be seen in the figures
numbered as 2 and 3, in the path they followed. As to Figure 2, in the periods in
which the investment in Turkey is highly sensitive that is excessively in the tendency
about falling, output shows a similar trend. The same positive relationship keeps on
its validity in the conditions in which the investment is lowly sentiment. As is seen in
Figure 3, the effect of investment on GDP supports the results in Table 4. According
to this, being as to the cases in which the investment is high or low susceptibility the
output collaterally moves.
Table 5. Fixed Capital Investment and Patent-Gross Domestic Product Relationship
Variables

Coefficient

Std.Error

t-Statistic

Prob.

Turkey

Greece

Turkey

Greece

Turkey

Greece

Turkey

Greece

C

0.0317

0.0196

0.0051

0.0035

6.2006

5.4690

0.0000

0.0000

FC

0.1723

0.2482

0.0291

0.0322

5.9098

7.7049

0.0000

0.0000

PT

-0.0144

0.0026

0.0161

0.0047

-0.8932

0.5637

0.3777

0.5764

R-squared

0.5734

0.6240

Adjusted Rsquared
F-statistic

0.5497

0.6031

24.2033

29.8755

Prob (F-statistic)

0.0000

0.0000

Model 4: ΔGDP=β 0 + β 1 FC+ β 2 PT
ΔGDP TR =0.0317 + 0.1723FC - 0.0144PT
(0.0051) (0.0291)

(0.0161)

ΔGDP GRC =0.0196 + 0.2482FC + 0.0026PT
(0.0035) (0.0322)

(0.0047)

As to the Table 5, the 57% of GDP shifts in Turkey is explained with the variable
involved in the model, and for Greece this ratio is found as 62%. As can seen, fixed
capital investment is a significant determinant on output for both countries. In spite
of that, explanatory of patent is weak for GDP.
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�Roles of Investment and Innovation in Business Cycle from Kalecki´s Perspective with a
Schumpeterian Approach: An Empirical Analysis for Turkey and Greece

Conclusion
A business cycle, which exists in the primary topics of macro economy, has also a
great importance for Post-Keynesian economics in a central role. It is seen that,
Kalecki correlates this subject with investment. The perspective of Schumpeter
towards the business cycles is mostly upon innovation. In addition to this, both
economists present that investment and innovation are related with each other in the
mean time. In addition, while Kalecki draws attention on the determiner position of
investment on output in relation to investment-innovation-output, Schumpeter
gives important essentially upon innovation.
In the current paper, these all relationships have been estimated by using the OLS
method for both Turkey and Greece. Gained results show that the innovation has no
significant relationship with investment and output for both countries and the
explanatoriness of innovation upon investment and output is considerably low. On
the other hand, the explanatory power of investment upon output is at the high
levels. At same direction movements in the business cycles because of a positive
correlation between investment and output present reasonable results for both
Turkey and Greece in accordance with Kalecki’s argument.

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References
Aghion, P. &amp; Howitt, P. (1992). A model of growth through creative destruction.
Econometrica, 60,2, 323-351.
Allred, B.B. &amp; Park, W.G. (2007). Patent rights and innovative activity: evidence
from national and firm-level data. Journal of International Business Studies, 38,6, 878900.
Andres, A.R. &amp; Goel, R.K. (2012). Does software piracy affect economic growth?
Evidence across countries. Journal of Policy Modeling, 34, 284-295.
Asimakopulos, A. (1971). The determination of investment in Keynes’s model,
Canadian Journal of Economics, IV:3, pp. 382-388.
Courvisanos, J. (2003). Innovation, In J.E.King (Ed.), Post Keynesian Economics,
UK: Edward Elgar Publishing Limited.
Courvisanos, J. &amp; Verspagen, B.(2004). Innovation and investment in capitalist
economies, 1870-2000:Kaleckian Dynamics and evolutionary life cycles, In L.R.
Wray&amp;M.Forstater (Eds.), Contemporary Post Keynesian Analysis, UK: Edward
Elgar Publishing Limited.
Corvisanos, J. (2005). Technological innovation:Galbraith, the Post Keynesians, and
a heterodox future. Journal of Post Keynesian Economics, 28,1, 83-92.
Courvisanos, J. &amp; Richardson, C. (2008). Invention, innovation,
investment:heterodox simulation modeling of capital accumulation. In J.T.Harvey
and R.F.Garnett, Future Directions For Heterodox Economics, USA: The
University of Michigan University Press.
Crowder, W.J. &amp; Jong, P.J. (2011). Does investment lead to greater output? A panel
error-correction model analysis. Applied Economics, 43, 773-785.
Davidson, R. &amp; MacKinnon, J.G. (1993). Estimation and inference in
econometrics, New York:Oxford University Press.

120

Journal of Economic and Social Studies

�Roles of Investment and Innovation in Business Cycle from Kalecki´s Perspective with a
Schumpeterian Approach: An Empirical Analysis for Turkey and Greece

De Long, J.B. &amp; Summers, L.H. (1992). Equipment investment and economic
growth: How strong is the nexus?. Brookings Papers On Economic Activity, 2, 157211.
Driver, C. (1994). Investment theory and radical perspectives. In P.Arestis &amp;
M.Sawyer (Eds.), UK: Edward Elgar Publishing Limited.
Ferlito, C. (2011). Sylos Labini’s Unpublished Notes on Schumpeter’s Business
Cycles. The Quarterly Journal of Austrian Economics, 14,1, 88-129.
Gangopadhyay, K &amp; Mondal, D. (2012). Does stronger protection of intellectual
property stimulate innovation. Economic Letters, 116, 80-82
Gomulka, S., Ostaszewski, A. &amp; Davies, R.O. (1990). The innovation rate and
Kaleki’s theory of trend, unemployment and business cycle. Economica, 57, 525-540.
Harvey, J.T. (2011). United States business bycles From 1971 through 2010: A post
keynesian explanation. Journal Of Economic Issues, XLV, 2, 381-390.
Herrerias, M.J. &amp; Orts, V. (2012). Equipment investment, output and productivity
in China. Empirical Economics, 42,1, 181-207.
Johansen S. &amp; Juselius J.K. (1990). Maximum likelihood estimation and inference
on cointegration with applications to demand for demand. Oxford Bulletin of
Economics and Statistics, 52, 169-210.
Kalecki, M. (1962). Observations on the theory of growth. The Economic Journal,
72,285, 134-153.
Kalecki, M. (1968). Trend and business cycles reconsidered. The Economic Journal,
78,310, 263-276.
Kalecki, M. (1990). Collected Works of Michal Kalecki Vol.I. Edited by
J.Osiatynsky, Oxford University Press.
Klette, T.J. &amp; Kortum, S. (2004). Innovating firms and aggregate innovation.
Journal Of Political Economy, 112,5, 986-1018.
121

�Başak Gül AKTAKAS, Cengiz AYTUN &amp; Cemil Serhat AKIN

Kwiatkowski, D., Phillips, P.C.B., Schmidt, P. &amp; Shin, Y. (1992). Testing the null
hypothesis of stationarity against the alternative of a unit root: How sure are we that
economic time series have a unit root?. Journal of Econometrics, 54, 159-178.
Laramie, A.J., Mair, D. &amp; Miller, A.G. (2004). Kalecki’s investment theory
reconsidered, In Z.L.Sadowski and A. Szeworski (Eds.), Kalecki’s Economics Today,
London:Routledge
Lentz, R. &amp; Mortensen, D.T. (2008). An empirical model of growth through
product innovation. Econometrica, 76,6, 1317-1373.
Lopez G, J. &amp; Assous, M. (2010). Michal Kalecki, UK: Palgrave Macmillan
MacKinnon, J.G. &amp; Haug, A.A. &amp; Michelis, L. (1999). Numerical Distribution
Functions of likelihood ratio tests for cointegration. Journal of Applied Econometrics,
14,5, 563-77.
Madsen, J.B. (2002). The causality between investment and economic growth.
Economics Letters, 74, 157-163.
Michaelides, P.G., Milios, J., Vouldis, A. and Lapatsioras, S. (2010). Emil Lederer
and Joseph Schumpeter on Economic Growth, Technology and Business Cycles.
Forum For Social Economics, 39,2, 171-189.
Osiatynski, J. (1992). Price and monopoly in Kalecki’s theory, In
P.Arestis&amp;V.Chick (Eds.), Recent Developments in Post-Keynesian Economics,
UK:Edward Elgar Publishing
Richardson, C. &amp; Romilly, P. (2008). Investment functions and the profitability
gap. Journal of Post Keynesian Economics, 31,1, 35-56
Sawyer, M.C. (1985). The Economics of Michal Kalecki, New York:M.E.Sharpe
Armonk.
Sardoni, C. (2011). Unemployment, Recession and Effective Demand-The
Contributions of Marx, Keynes and Kalecki, UK:Edward Elgar Publishing.

122

Journal of Economic and Social Studies

�Roles of Investment and Innovation in Business Cycle from Kalecki´s Perspective with a
Schumpeterian Approach: An Empirical Analysis for Turkey and Greece

Skott, P. (2003). Business cycles, In J.E.King (Ed.), Post-Keynesian Economics,
UK:Edward Elgar Publishing.
Snowdon, B. &amp; Vane, H.R. (2005). Modern Macroeconomics. UK:Edward Elgar
Publishing.
Temple, J. (1998). Equipment investment and the Solow model. Qxford Economic
Papers, 50, 39-62.
Toporowski, J. (2003), Kaleckian Economics, In J.E.King (Ed.), Post Keynesian
Economics, UK:Edward Elgar Publishing

Notes
1. Herein it has to be highlighted that he embraces the development as an
evolution.
2. It caused that profits change direction from the old equipment to the new one.
3. According to this effect, effective demand should be stimulator via the diffusion
of clustering case. Clustering can be achieved through availability of the funds
belonging to public sector or profits for investment. At this point, the
investment analysis of Kalecki explains how the triggering mechanism works
(Corvisanos &amp; Richardson, 2008).

123

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                    <text>Journal of Economic and Social Studies

Utilizing Information Systems for Measuring Impact on
Social Sustainability: Survey of Microcredit Organizations in
Bosnia and Herzegovina
Alica PANDZO

Department of Information Systems
Sarajevo School of Science and Technology
Sarajevo, Bosnia and Herzegovina
alica.pandzo@ssst.edu.ba

Kemal TALJANOVIC

Department of Information Systems
Sarajevo School of Science and Technology
Sarajevo, Bosnia and Herzegovina
kemal.taljanovic@ssst.edu.ba

Selma JAHIC

Microcredit Foundation Partner
Tuzla, Bosnia and Herzegovina

Abstract: Microfinance has been used selma@partner.ba
as a tool for social
sustainability and development since the 1970s. In
microfinance, assessment of social sustainability is often
conducted through client impact monitoring. This study explores
the impact measurement practices of microcredit organizations
in Bosnia and Herzegovina and their use of information systems
in this process. We draw on the latest trends of using shared
measurement systems for impact monitoring, to point out the
potential of using such systems to achieve sustainable impact on
wider social issues in Bosnia and Herzegovina. This paper
outlines the roles and responsibilities that different stakeholders
should play in the system development process.

KEYWORDS:

Microfinance, Microcredit, Bosnia
and Herzegovina, Social Impact,
Information Systems, ICT, Shared
Measurement Systems.

ARTICLE HISTORY

Submitted: 4 July 2012
Resubmitted: 17 October 2012
Accepted: 5 November 2012

JEL codes: O32, G21

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�Alica PANDZO, Kemal TALJANOVIĆ &amp; Selma JAHIĆ

Introduction
Since its conception, microfinance has been promoted as an essential economic tool
for social sustainability and poverty alleviation. Microfinance is based on a premise
that providing financial services (most commonly in form of credit) to the most
vulnerable populations, who would otherwise not have access to standard bank
financing, would empower people to get out of poverty by capitalizing on their own
skills and ideas. In developing and post-conflict countries, such as Bosnia and
Herzegovina (BiH), microfinance has been used as a tool to raise employment and
revive economic activity by targeting micro-business by microcredit organizations
(MCOs). This ‘bottom up’ approach has received popularity as an alternative to the
traditional top-down approach used by international aid organizations to stimulate
economic growth and development through various projects and funds delivered to
governments of developing countries.1
Even though microfinance has been around since the 1970, there is still no
agreement on the real impact of microfinance. While many studies have shown
results of positive economic and social impact of microfinance (Dunn, 2005) the
appropriateness of different tools and methods applied is often questionable and
makes them impossible to compare. This has contributed to growing criticism of
microfinance in recent years (Bateman 2007, 2010, 2011). A recent study assessing
the use of microfinance in BiH (Welle-Strand et al., 2010) concludes that
microfinance is a better tool for improving individual economic performance of
micro finance institutions (MFI) and their individual clients, than for achieving
broader social goals. What is clear is that amidst such hard times and controversy,
having a clear social mission and the ability to track and measure organizations
realization of that mission and goals, is of increasing importance for individual
MCO and the microfinance sector as a whole. It is also clear that major social issues
such as poverty or equality cannot be solved by any single institution or type of
organization. Collaborative efforts and sharing of information and knowledge are
needed.

Journal of Economic and Social Studies
220

�Utilizing Information Systems for Measuring Impact on Social Sustainablity:
Survey of Microcredit Organizations in Bosnia and Herzegovina

The increasing capability and availability of Information and Communication
Technologies (ICTs), is allowing innovative solutions to be applied in this field
supporting collaboration and resulting in resource and cost savings, while
maximising outputs. The latest trends in impact measurement systems are the
development of web-based systems which coordinate efforts of impact monitoring by
many different organizations who share the same social goals.
The goal of this study is to assess the current practices and potentials of using
information systems to support realisation of social mission and goals of
microfinance organizations in Bosnia and Herzegovina. In order to do this, we focus
on answering the following research questions: 1. Do MCOs have a systematic
approach to measuring their social performance and impact? 2. Do MCOs have the
necessary ICT infrastructure and capabilities to support impact monitoring? 3. How
can information systems be used to more accurately and efficiently measure social
impact of microcredit at the level of BiH?
We first provide an overview of microfinance as a tool of social sustainability and
development and introduce the innovative ways in which ICTs are being used to
facilitate/enhance the process of social performance and impact measurement. We
then present the findings of an empirical study of social impact measurement
practices among MCOs in BiH. Recommendations are given for strengthening social
performance and impact monitoring practices of the microfinance sector in BiH by
applying the most innovative ICT trends in the field.
Overview of Microfinance
Social sustainability and microfinance
Social sustainability is an element of sustainable development which “occurs when the
formal and informal processes, systems, structures and relationships actively support the
capacity of current and future generations to create healthy and livable communities.
Socially sustainable communities are equitable, diverse, connected and democratic and
provide a good quality of life” (Barron and Gauntlett, 2002, pp.18). At a practical
level, social sustainability assessment is often conducted through social impact
assessment by focusing on principles such as income and employment, education,
skills, consumption or participation (Oman and Spangerberg in Colantonio, 2009).

221

�Alica PANDZO, Kemal TALJANOVIĆ &amp; Selma JAHIĆ

Modern microfinance was pioneered in the late 1970’s by a Bangladeshi banker and
economist, Muhammed Yunus, who used small credits as a way to provide self
employment to people (primarily women) who had talent but no money. Such
people could not access regular loan facilities through banks as they had no
collateral, were unemployed or worked in the informal sector hence could not prove
income generation. Hence, they would often fall prey to loan sharks charging huge
interest rates (Kumar, 2010).
The social objective most MCOs today is poverty alleviation, while many also focus
on small business start-ups, employment generation, empowerment of women,
increasing level of education among children and youth, etc. Poverty eradication is
also the no.1 Millennium Development Goal (MDG) with a target of cutting
extreme poverty in the world by half by the year 2015. To help achieve this goal,
the UN designated 2005 as the International Year or Microcredit, with a goal of
promoting access to finance to the poor.
It is now estimated that 160 million people in developing countries are today served
by microfinance through MFIs which range from small nonprofit organizations to
large commercial banks. In addition to microcredit, some offer other services such as
deposit, saving accounts, financial and business advice or marketing and technology
services. The average interest rate charged by MFIs is 27%, which is significantly
higher than what is charged by the banks (CGAP, 2006). High interest rates are
justified by higher risk profile of this client category and high administrative costs of
serving clients in remote areas
Even though the terms 'social performance' and 'social impact' are often used
interchangeably, it is important to stress the difference between the two. The Social
Performance Taskforce defines social performance as “the effective translation of an
institution’s mission into practice in line with accepted social values” so it is concerned
with effectiveness of internal organisational processes in order to achieve the
organisational mission. Social impact, is the improvement in the lives of people that
can be directly linked to organizations activities (SPT, n.d.). Social impact is
therefore just one element of social performance.

Journal of Economic and Social Studies
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�Utilizing Information Systems for Measuring Impact on Social Sustainablity:
Survey of Microcredit Organizations in Bosnia and Herzegovina

Microfinance in Bosnia and Herzegovina
BiH has a population of 3.8 million (BiH Agency for Statistics, n.d.). Microfinance
was first introduced to BiH in 1996, shortly after the war ended, through a Local
Initiatives Microfinance Project (LIP I) financed by the World Bank and a number
of donor countries. First MCOs issued loans to micro-businesses (both formal and
informal), who were affected by the war and otherwise had no access to regular credit
lines.
Currently there are 23 MCOs registered in BiH, of which 19 are non-profit
microcredit foundations (MCF) and 4 are profit microcredit companies (MCC).
Both types of institutions are limited to providing credit services, while deposit
taking is reserved only for banks. The Association of Microfinance Institutions
(AMFI) was formally set up in 2003 as a network which promotes synergies and
allows knowledge sharing and transparency between its members. Today, the 12
largest MCOs in BiH are members of AMFI and together they cover more than
98% of the market share in the country.
After 10 years of flourishing growth, end of 2008 marked the start of a crisis for the
microfinance sector in BiH. The downturn closely followed the 2008 economic
crisis. The most quoted reason for it by industry experts is the over-indebtedness of
clients. The over-indebtedness was caused by concentrated market competition and
erosion of MFI lending discipline (Chen, Rasmussen, and Reille, 2010). At the end
of 2011 the total portfolio of the microfinance sector in BiH was at EUR 308
million, which is drastically down from its peak of EUR 699 million at the end of
2008.The sector is now showing signs of improvement and recovery. Total MCO
sector has recorded a profit in 2011 (EUR 6.9 million), after two years of significant
sector losses (Banking Agency of FBiH and Banking Agency of RS, 2012).
ICT Enabled Trends and Innovation
There is quite a lot of guidance and information about tools and methods used for
social performance monitoring (SIM Pilot project, 2008, pp.6), however there is
very little about the use, effects and role of ICTs in supporting this process. As
majority of MCOs operate in developing countries and remote areas they commonly
have a problem with a lack of basic reliable ICT infrastructure and lack of local
knowledge (Blantz, 2010).
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�Alica PANDZO, Kemal TALJANOVIĆ &amp; Selma JAHIĆ

Another common problem of effective outcome measurement is that it is made up of
isolated efforts, using non standardised methods and indicators, producing results
which cannot be compared. Major social issues such as poverty or child education
cannot be solved by efforts of any single program or type of organization. There is
also a lot of duplication of effort, time and resources as organizations with the same
objectives try to measure and evaluate their outcomes. Such issues, combined with
the advancements in ICT have led many organizations to develop innovative webbased systems for coordinating efforts in measuring performance and outcomes of
hundreds or thousands of social enterprises within a field (Kramer, Parkhurst, and
Vaidyanathan, 2009).
A report produced by FSG (Kramer et al, 2009) provides details of 20 such systems
and groups them into three different categories, characteristics and benefits of which
are summarised in the Table 1.
Table 1. Characteristics and benefits of shared measurement systems

Source: adapted from FSG report

Journal of Economic and Social Studies
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�Utilizing Information Systems for Measuring Impact on Social Sustainablity:
Survey of Microcredit Organizations in Bosnia and Herzegovina

Such systems can provide numerous advantages to all organizations with a social
mission and a need to measure performance and outcomes, including MFIs. Setting
up such systems requires strong leadership and engagement of different organizations
in the design phase. It also requires substantial funding through a multi – layer
development period (Kramer et al, 2009). Participating organizations often pay a fee
to have access to data a report generation, while they also input their own data into
the system.
Research Methodology
Current ICT capability and impact measurement practices of MCOs in BiH were
studied using a survey questionnaire and follow-up interviews. The data was
collected during March and April, 2012. The survey was sent to the person in charge
of ICT (IT managers) in all 23 registered MCOs, however for most organizations
marketing manager and IT managers both took part in completing the survey. The
survey questions can be grouped in the following main areas: Organisational goals
and services; ICT infrastructure, ICT use and management; Impact measurement
process; Perceptions.
Analysis of Results
We received a total of 10 survey responses of which 6 were followed up with phone
interviews. The survey response rate of 43% is considered satisfactory as the survey
was sent to all existing BiH MCOs and the 10 institutions that have responded cover
75% percent of the microcredit market in BiH. One of the respondents is registered
as a microcredit company, while the others are microcredit foundations. Figure 1
shows the distribution of surveyed MCOs.

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�Alica PANDZO, Kemal TALJANOVIĆ &amp; Selma JAHIĆ

Figure 1. Size of MCOs according to portfolio size (left) and number of active loans
(right)

Organisational Goals
The prime target market for 60% of respondents is the low income population and
hence their primary development goals are poverty reduction and employment
generation. Second highly ranked target market are women, followed by microbusinesses. On average, 68% of clients are from rural areas. Average loan amount
issued is EUR 1,123.
ICT Infrastructure and Spending
Our results show that MCOs in BiH are overall well equipped with reliable ICT
infrastructure. All credit officers and office staff have PCs and use PCs them in
everyday tasks. 40% of organizations also supply their field credit officers with
laptops and 30% with mobile or smart phones. All credit officers have e-mail
accounts which they use daily and have access to internet at their offices. These are
pleasing results considering that a survey of internet usage in BiH conducted by
GFK in 2009, (UNDP, 2010, pp. 175) showed that only 30% of BiH companies
have internet connections.
50% of MCOs have their offices linked via a VPN, while all offices have their PCs
linked in a local network. MCOs employing over 50 staff, have IT/IS departments,
whereas the smaller ones usually have one person in charge of all ICT in the
organisation. Very little attention is paid to strategic use of information systems
which is reflected by non existence of IT strategy in 70% of surveyed MCOs. Use of
Journal of Economic and Social Studies
226

�Utilizing Information Systems for Measuring Impact on Social Sustainablity:
Survey of Microcredit Organizations in Bosnia and Herzegovina

cross functional information systems is also low. Enterprise Resource Planning
system is implemented in one and Management Information Systems are used in
50% of the surveyed MCOs. None of the MCOs indicated use of CRM, GIS, DSS,
KMS or Experts Systems.
Impact Measurement Practices
Only two of the survey participants, collect information which is used in social
impact measurement. MCF EKI (EKI) was found to have a systematic approach to
measuring impact of microcredit on poverty – their primary development goal.
EKI’s strategic goal is to service 40% of poor clients, and at least 5% of these clients
to achieve a significant improvement within 12 months of taking out a loan. In
order to measure achievement of this end statement, EKI has developed its own
poverty assessment method, which is used to categorise all clients at the time they
first take out a loan. Indicators used in this categorization are: income, education,
housing, formal employment, no. of children, place of residence and physical ability.
A point scale is applied, and all client scoring over 6 points are categorized as poor.
Twelve months later, a sample of 300 clients from the poor category are followed up
in focus groups to assess whether there has been any significant improvement in their
quality of life. To assess quality of life EKI uses a second set of indicators which
include: monthly household income, possession of a car / PC / LCD, internet access,
level of competed education, preventative healthcare, travel outside of place of
residence, etc. EKI holds about 8 – 10 focus groups every year at different locations.
The results are a combination of qualitative and quantitative data (MKF EKI, 2009).
Field staff collects information from clients in paper form. Back at the office, the
data is inputted into a web-based, in-house developed system for collecting and
analyzing impact data.
MCF Partner (Partner) was founded by Mercy Corps in late 2000. Partner is focused
on creation of jobs, increased income and creating a more stable environment.
Partner's target population is rural (84.91% of active clients) and women (42.62 %
of active clients) (Partner, n.d). Partner has initiated the incorporation of social
performance management (SPM) into all business processes, which include: strategic
planning, client relationships (loyalty and adjusting our service and product offer to
clients' needs), financial management, human resources, information systems and
organisational culture. Poverty measurement tools used by Partner are per capita
household expenditure and per capita household income.

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�Alica PANDZO, Kemal TALJANOVIĆ &amp; Selma JAHIĆ

Another MCO, not included in our results, who has been actively managing its
social performance and impact is MCF Prizma (Prizma). With 67,742 active
borrowers, and employing over 250 staff, Prizma is also amongst the largest MCOs
in BiH (Prizma MKF, n.d). Prizma explicitly targets poor entrepreneurs (primarily
women). Like EKI, Prizma has developed its own poverty assessment scorecard
which is used in poverty monitoring by assessing clients on entry and every time they
take out a new loan. The following indicators are included as part of the poverty
scorecard: education level of woman partner or household head, residence,
employment status, family size, the frequency of the consumption of luxury foods
(sweets and meat) and the ownership of a television, stereo and motor vehicle
(IFAD, 2009, pp.35). Prizma also conducts exit monitoring twice a year, using semistructured interviews. The third component of Prizma’s social performance
monitoring system are focus groups, used to obtain information on reaching, serving
and impacting the target market
(Crnkic, 2010). The Social Performance
Management information system at Prizma is developed internally and consists of
five core components: monitoring poverty outreach, monitoring the change of
poverty status, exit monitoring, client satisfaction monitoring and focus group
discussions.
Perceptions
The final section of the questionnaire looks at participants perceptions regarding the
effectiveness of the outcome measurement process within their organisation, the use
of ICT by staff in general and use of ICT to support the outcome measurement
process. Table 2 show the average answers to those questions. Scale: 1- strongly
disagree, 5 – strongly agree.

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�Utilizing Information Systems for Measuring Impact on Social Sustainablity:
Survey of Microcredit Organizations in Bosnia and Herzegovina

Table 2. Perceptions category averages
Question
a) The results of measuring the impact of microcredit are of great importance to
strategic planning in our organisation
b) The process of measuring impact is of crucial importance to our organisation
c) My organisation has effective, systematic approach to measuring social impact
on customers.
d) My organisation is using ICT to support the process of social impact
measurement in the best possible way
e) Employees of my organisation are highly capable in conducting their everyday
work tasks using a computer.
f) Employees within my organisation are willing to accept new technologies and
adjust to the new ways of carrying out their work.
g) MIS in my organisation is highly effective for collecting, analysing and reporting
on our social impact.
h) The existing system for measuring impact of microcredit allows us for effective
monitoring of the realisation of our strategic goals.
i) The existing system for measuring impact of microcredit allows us to effectively
evaluate our existing products and develop new products.
j) Government of BiH should work more on setting up a system of social
performance monitoring.
k) Having access to a central database of social performance measures at the level of
Bosnia and Herzegovina would be of great value to our organisation.
l) We are willing to share the results of our measurements with other organizations
for mutual benefits.

Average
3.8
3.7
2.1
2
4
3.8
3.3
2.5
2.5
4.5
4.5
4.2

Some MCOs who in the previous section answered that they do not collect data that
can be used for social impact measurement rated the effectiveness of their process
and MIS in supporting the impact measurement process, fairly highly. We interpret
this inconsistency as an indication of a lack of understanding of the social impact
measurement process. A large majority of the MCOs agrees that a central database of
social performance measures at the state level is needed (questions j. and k. in table
2). There is also a very high level of willingness to share the results of measurements
with other organizations for mutual benefits (4.2). MCOs appear to have highly
skilled IT staff and employees who are willing to embrace new technologies.
Respondents were asked to rate which of the given issues pose the biggest obstacle to
the optimisation of the social impact measurement process for their organisation.
Table 3 shows the total points awarded to each issue. Scale: 1 – smallest issue, 5 –
biggest issue.

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�Alica PANDZO, Kemal TALJANOVIĆ &amp; Selma JAHIĆ

Table 3. Perceived obstacles for optimisation of the impact measurement process
Stated issue
Lack of coordination at the level of the sector
Lack or inconsistency of legislation
Lack of human resources for conducting field studies
Lack of knowledge about impact measurement methods
Lack of accurate information received from clients
Lack of information about the benefits of impact studies for MCOs
Lack of awareness about the need to measure impact
Lack of financial resources
Lack of skilled IT staff
Lack of management support

Total Points
44
42
38
36
34
32
30
30
26
20

Highest ranking issue was the lack of coordination at the level of the sector (44).
This indicates that there is an agreement amongst MCOs about the need to pool
efforts and minimise duplication. Lack of financial resources and field staff was rated
as an issue by smaller MCOs. Lack of skilled IT staff and management support was
consistently rated as a low issue across all MCOs.
Discussion
Our results show that MCOs in BiH are overall well equipped with reliable ICT
infrastructure. MCOs also appear to have (based on their perceptions) highly skilled
IT staff and employees capable of using ICT to perform their business tasks and
willing to embrace new technologies. However, very little attention is paid to
strategic use of information systems which is reflected by non existence of IT policy
in 70% of surveyed MCOs. ICTs should be viewed as one of key organizational
resources and not just as a support function or a cost. This means that ICT can play
a crucial role in realisation of organizational goals. Organizational goals (social and
financial) have to be aligned with IT goals and applications must be developed and
implemented according to those plans in order to ensure that goals are achieved most
efficiently.
Overall, MCOs in BiH show a low commitment to systematically managing their
social performance and measuring social impact. Majority do not have systems in
place for assessing and tracking the realisation of their social mission. Reports and
data presented on MCOs websites is focused on financial indicators, with social
indicators being obviously neglected. MCOs need to put more effort into showing
equal commitment to both elements of the double-bottom-line. This study found
only three MCOs who have placed considerable Journal
amountofofEconomic
effort inand
systematically
Social Studies
230

�Utilizing Information Systems for Measuring Impact on Social Sustainablity:
Survey of Microcredit Organizations in Bosnia and Herzegovina

managing their social performance. All three are funded by international aid agencies
for whom social performance is a key issue These MCOs have built notable internal
expertise in managing social performance and two have developed their own
measurement tools and methods such as the poverty assessment scorecard developed
by MCF Prizma (IFAD, 2006 and Crnkic, 2010,) and MCF EKI (MKF EKI,
2009).
During phone interviews 4 MCOs said that they had to put in a lot of time and
effort into conducting assessment of market potential studies, as no statistical data
was readily available. Availability of measure such as (household income, average pay,
level of education, etc.) would have cut down on time and duplication of effort
across MCOs. BiH has undergone many changes over the last 20 years, especially
after the war in early 1990s .The last census was conducted just before the war broke
out in 1992. Many people have migrated since then or have been displaced. Because
of this lack of centrally managed data, there is a lot of duplication of effort and
resources in the MCO and NGO sector in general.
Centralised data is currently available through AMFI and the Central Bank of BiH.
AMFI members quarterly report on financial data which is distributed to all
members. The Central Credit Registry of Central Bank of BiH is a database off all
individuals and legal entities in the country indebted with commercial banks,
microcredit organizations, savings - credit organizations and Leasing. This registry is
used for checking client credit history by the same institutions and the registry is
updated daily since April 2012 (Public relations of CBBH, 2012).
Conclusion and Recommendations
The goal of this research was to assess the current practices of using information
systems to support realisation of social mission and strategic goals of microfinance
organizations in Bosnia and Herzegovina. Our findings show that the existing ICT
infrastructure capabilities are at a pleasing level but they are not being effectively
used by MCOs for monitoring and evaluating their social mission. We recommend
that the best way to achieve better results in this field is by developing a shared
measurement system for impact monitoring at the level of microcredit sector in BiH.
Use of such system would enable the coordination of efforts within the microcredit

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�Alica PANDZO, Kemal TALJANOVIĆ &amp; Selma JAHIĆ

sector which is necessary in order to achieve broader social goals. Further research is
needed to investigate the most appropriate type of shared measurement system,
impact measurement methodologies and measures that should be reported on.
Implementation of such systems is not an easy task and relies on commitment from
various stakeholders. We will try to briefly outline the possible responsibilities of
those different stakeholders. Donors and creditors can play a big part by funding
different phases of shared system development. They can also influence MCOs to
pay more attention to achieving their social mission, by putting more weight on
evidence of social performance management practices when providing future
financing to MCOs. The association of microfinance institutions in BiH – AMFI
has a big role to play in promoting, educating and raising awareness about social
performance management practices among its members. They should further
promote the achievements that some of their members have made in this field and
encourage collaboration. AMFI could also be the central coordinator for the
planning and development of the shared system of impact measurement at the sector
level. Another possible coordinating body could be the Central Bank of BiH.
Whoever decides to take on this complex task needs to show good leadership and
coordination ability.
A possible limitation could be the willingness of MCOs to provide social data on
their clients and the regulatory limitations regarding privacy of information. Even
though participants in our study indicated high level of willingness to share data, this
should be further explored. Accuracy of data provided by clients may also be an
issue, as indicated by participants of our study. Use of shared systems for impact
measurement should be further explored by the microfinance sector in BiH as it has
potential to play a key role in solving major social problems. Further research is
needed to investigate the most appropriate type of shared measurement system,
impact measurement methodologies and measures that should be reported on.

Journal of Economic and Social Studies
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Survey of Microcredit Organizations in Bosnia and Herzegovina

References
Banking Agency of Federation of BiH. (2012). Information about the microcredit
system of Bosnia and Herzegovina, on 31-12-2011. Sarajevo, BiH. Retrieved from
http://www.fba.ba/images/Micro_Documents/Informacija_MKO_31122011_bos.p
df
Banking Agency of Republic of Srpska. (2012). Report on the current state of the
banking system of Republic of Srpska as at 31-12-2011. Banja Luka, BiH.
Barron, L., &amp; Gauntlett, E. (2002). Stage 1 report – Model of social sustainability,
Housing and sustainable communities indicators project.
Perth, Australia:
WACOSS.
Bateman, M. (2007). De-industrialization and social disintegration in Bosnia. In T.
Dicher &amp; M. Harper (Eds.) What’s wrong with microfinance? Warwichshire:
Intermediate Technology Publications.
Bateman, M. (2010). Why doesn’t microfinance work? The destructive rise of
neoliberalism. New York, NY: Zed Books.
Bateman, M. (2011). Confronting microfinance: Undermining Sustainable
Development. Sterling, USA: Kumarian Press. ISBN 978-1-56549-341-4.
Dunn, E. (2005). Impact of microcredit on clients in Bosnia and Herzegovina, Final
report, Sarajevo and Banja Luka: LIP II. Retrieved from http://www.europeanmicrofinance.org/data/file/benchmark/Impacts_of_microcredit_on_clients_in_BiH.
pdf
BiH Agency for statistics. (n.d). Retrieved from http://www.bhas.ba/
Blantz, E. (2010). Accelerating microfinance impact with ICT: Learning from
Democratic Republic of Congo (DRC) and Sierra Leone. San Francisco, CA:
Inveneo.
Retrieved
from
http://www.inveneo.org/download/accelerating_microfinance_impact_with_ict_03_
2010.pdf

233

�Alica PANDZO, Kemal TALJANOVIĆ &amp; Selma JAHIĆ

CGAP. (2006). Why do MFIs charge high interest rates?
http://www.cgap.org/p/site/c/template.rc/1.26.1309/

Retrieved from

Chen, G., Rasmussen, S., &amp; Reille, X. (2010). Growth and Vulnerabilities of
Microfinance.
Washington,DC:
CGAP.
Retrieved
from
http://www.microfinancegateway.org/gm/document-1.9.42432/Growth
and
Vulnerabilities.pdf
Colantonio, A. (2009). Social sustainability. Linking research to policy and practice.
Paper presented at the conference “Sustainable development: A challenge for
European research”, Brussels, 26- 26th May 2009.
Crnkic, K. (2010). Managing social performance through integrated approach –
Prizma case study. Collection of monographs No.13. Madrid, Spain: Foro nantik
lum de microfinanzas. ISBN: 978-84-693-2691-6.
IFAD, (2006). Assesing and managing social performance in microfinance. Rome,
Italy: IFAD. Retrieved from http://www.ifad.org/ruralfinance/pub/performance.pdf
Kramer, M., Parkhurst, M., &amp; Vaidyanathan L. (2009). Breakthroughs in shared
measurement and social impact. FSG Social Impact Advisors. Retrieved from
www.fsg.org
Kumar, V. (2010, April 15). Need to draw a line between microfinance and loan
sharking:
Prof
Yunus.
Microfinance
focus.
Retrieved
from
http://www.microfinancefocus.com/news/2010/04/15/need-to-draw-a-line-betweenmicrofinance-and-loan-sharking-prof-yunus/
MKF EKI. (2009). Changes in poverty lines. Retrieved from
http://www.mixmarket.org/sites/default/files/EKI_Changes_in_poverty_lines_for_
MIX.doc
Partner MKF, (n.d)
http://www.partner.ba

Partner

Microcredit

Foundation.

Retrieved

from

Prizma MKF. (n.d). Welcome to the Microcredit Foundation Prizma. Retrieved from
http://www.prizma.ba/index.php?lang=en
Journal of Economic and Social Studies
234

�Utilizing Information Systems for Measuring Impact on Social Sustainablity:
Survey of Microcredit Organizations in Bosnia and Herzegovina

Public relations of CBBiH. (2012). Daily updating of the Central credits registry.
Central Bank of Bosnia and Herzegovina. Sarajevo 26.04.2012. Retrieved from
http://www.cbbh.ba/index.php?id=809&amp;lang=en
Social Performance Taskforce (SPT). (n.d) What is social performance? Retrieved
from http://www.sptf.info/what-is-social-performance
SIM pilot project. (2008). Social impact measurement: Project document. Results of
a pilot project to develop a tool for measuring social impact of microfinance. Dakar Fann, Senegal: INAFI International Foundation.
United Nations Development Programme (UNDP). (2010) eGovernanace and ICT
Usage Report for South East Europe - 2nd Edition, Sarajevo: UNDP
Welle-Strand, A., Kjollesdal, K. &amp; Sitter, N. (2010). Assesing microfinance: The
Bosnia and Herzegovina case. Journal Managing global transitions, 8 (2) 145 – 166.
University of Primorska, Faculty of Management. Retrieved from
http://www.bi.edu/OsloFiles/MICRO/2010/Assessing%20Microfinance.pdf

(Endnotes)
1

The traditional top-down approach provides large sums of aid to governments of
developing countries, with benefits expected to trickle down to citizens.
However a large percentage of the aid is lost in costly logistics, political
interference and corrupt practices. The bottom-up approach consists of issuing
aid (in form or loans) directly to individual citizens.

235

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          <element elementId="94">
            <name>Abstract</name>
            <description>A summary of the resource.</description>
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              <elementText elementTextId="20645">
                <text>Intending to talk about a study that aimed at studying the effect of Collaborative Strategic Reading(CSR) on EFL students’ reading performance. CSR is a teaching technique that was originally developed by Klingner and Vaughn and which aims at improving the learners' reading skill. CSR is defined by many educators as an instructional program in which students work in pairs or in small groups to help one another master the academic content. It consists of four main strategies: preview, click and clunk, get the gist and wrap-up.       The study population consisted of grade seven students studying the English language course in Omani basic Education schools during the academic year 2009-2010. Two grade seven basic education classes of a total of thirty-four students from a male school in Sharqiyah South educational district represented the sample of the study. A class of seventeen students represented the experimental group, which was taught the reading texts using Collaborative Strategic Reading. The other class represented the control group, which received traditional classroom instruction.    A reading comprehension test was used to explore the research question. The major results of the reading test revealed a statistically significant difference between the students’ achievement of the experimental group and the students’ achievement of the control group using t-test that favored the experimental group that was taught using Collaborative Strategic Reading  </text>
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            </elementTextContainer>
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          <element elementId="40">
            <name>Date</name>
            <description>A point or period of time associated with an event in the lifecycle of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="20646">
                <text>2012</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="97">
            <name>Keywords</name>
            <description>Keywords.</description>
            <elementTextContainer>
              <elementText elementTextId="20647">
                <text>Conference or Workshop Item
PeerReviewed</text>
              </elementText>
            </elementTextContainer>
          </element>
        </elementContainer>
      </elementSet>
    </elementSetContainer>
    <tagContainer>
      <tag tagId="32">
        <name>P Philology. Linguistics</name>
      </tag>
    </tagContainer>
  </item>
  <item itemId="2632" public="1" featured="0">
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      <elementSet elementSetId="1">
        <name>Dublin Core</name>
        <description>The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.</description>
        <elementContainer>
          <element elementId="79">
            <name>Extent</name>
            <description>The size or duration of the resource.</description>
            <elementTextContainer>
              <elementText elementTextId="20636">
                <text>946</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
            <elementTextContainer>
              <elementText elementTextId="20637">
                <text>L'Académie française (the French Academy) and the Encumen-i Danis</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="96">
            <name>Author</name>
            <description>Author</description>
            <elementTextContainer>
              <elementText elementTextId="20638">
                <text>Sarıkaya, Orhan</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="94">
            <name>Abstract</name>
            <description>A summary of the resource.</description>
            <elementTextContainer>
              <elementText elementTextId="20639">
                <text>The Hatt-ı Sherif of Gülhâne (Imperial Decree of the Rose Chamber) is the confirmation of the impact of Western influence in social and political realms to the Ottomans. The influence of French culture and literature on Turkish culture and literature up to the present has been analyzed and studied from various perspectives. However, the Encumen-i Danis has not drawn the attention of researches perhaps due to its short existence.   In this study L'Académie française or the French Academy that acted as an official authority on the French language, and the Encumen-i Danis is juxtaposed, their emphasis on mother tongue is analyzed.  </text>
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          <element elementId="40">
            <name>Date</name>
            <description>A point or period of time associated with an event in the lifecycle of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="20640">
                <text>2012</text>
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            </elementTextContainer>
          </element>
          <element elementId="97">
            <name>Keywords</name>
            <description>Keywords.</description>
            <elementTextContainer>
              <elementText elementTextId="20641">
                <text>Conference or Workshop Item
PeerReviewed</text>
              </elementText>
            </elementTextContainer>
          </element>
        </elementContainer>
      </elementSet>
    </elementSetContainer>
    <tagContainer>
      <tag tagId="32">
        <name>P Philology. Linguistics</name>
      </tag>
    </tagContainer>
  </item>
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