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                    <text>International Conference on Economic and Social Studies, 10-11 May, 2013, Sarajevo

Analyzing Macroeconomic Indicators of Economic
Growth Using Panel Data
Nihat Taş
İstanbul University, İstanbul, Turkey
tasnihat@gmail.com
Ali Hepşen
İstanbul University, İstanbul, Turkey
alihepsen@yahoo.com
Emrah Önder
İstanbul University, İstanbul, Turkey
emrah@İstanbul.edu.tr
During last 10 years some EU countries had economic instability. They have
short and long term challenges such as unemployment, population ageing,
globalization etc. In this study it is aimed to analyze macroeconomic
indicators of EU countries’ economic growth using panel data approach.
Static and dynamic panel data models were used for determining the
effects of independent macro-economic variables on gross domestic
product (GDP) of EU member countries including Austria, Belgium,
Bulgaria, Cyprus, Czech Republic, Denmark, Estonia, Finland, France,
Germany, Greece, Hungary, Ireland, Italy, Latvia, Lithuania, Luxembourg,
Malta, Netherlands, Poland, Portugal, Romania, Slovakia, Slovenia, Spain,
Sweden, United Kingdom; acceding country: Croatia; and candidate
countries: Iceland, Montenegro, Serbia, The former Yugoslav Republic of
Macedonia and Turkey. While dependent variable of analyze is gross
domestic product (volume), the independent variables are current account
balance, general government gross debt, general government revenue,
general government total expenditure, gross national savings, inflation,
average consumer prices, population, total investment, unemployment
rate, volume of exports of goods and services, volume of imports of goods
and services. The analysis proposed is based on a panel data (cross
sectional time series data) approach. The dataset of this research involves
33 EU member and EU candidate countries (units). The effects of 12
macroeconomic indicators on gross domestic product volume were
examined. The paper also empirically analyzes the negative impacts of
global financial crisis (the 2007 U.S. Subprime Financial Crisis) into EU
member and candidate countries’ economic growth during the 2002–2012
230

�International Conference on Economic and Social Studies, 10-11 May, 2013, Sarajevo

periods (time series). In this context, the paper explains what a financial
crisis is, the factors that promote a financial crisis, and the dynamics of a
financial crisis. Thus, the effects of macroeconomic parameters are
analyzed using panel data series. The findings of this research are
especially useful for EU candidate countries such as Iceland, Montenegro,
Serbia, The Former Yugoslav Republic of Macedonia and Turkey for
developing convenient economic strategies.
Keywords: European Union and Candidate Countries, Financial Crisis,
Macro Economic Parameters, Panel Data Analysis, Gross Domestic Product,
Economic Growth.

231

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                    <text>International Conference on Economic and Social Studies (ICESoS’13), 10-11 May, 2013, Sarajevo

Analyzing Macroeconomic Indicators of Economic Growth Using Panel Data
Nihat Taş
Istanbul University, Istanbul, Turkey
tasnihat@gmail.com
Ali Hepşen
Istanbul University, Istanbul, Turkey
alihepsen@yahoo.com
Emrah Önder
Istanbul University, Istanbul, Turkey
emrah@istanbul.edu.tr
Abstract
During last 10 years some EU countries had economic instability. They have short
and long term challenges such as unemployment, population ageing, globalization
etc. In this study it is aimed to analyze macroeconomic indicators of EU countries’
economic growth using panel data approach. Static linear panel data models were
used for determining the effects of independent macro-economic variables on gross
domestic product (GDP) of EU member countries including Austria, Belgium,
Bulgaria, Cyprus, Czech Republic, Denmark, Estonia, Finland, France, Germany,
Greece, Hungary, Ireland, Italy, Latvia, Lithuania, Luxembourg, Malta,
Netherlands, Poland, Portugal, Romania, Slovakia, Slovenia, Spain, Sweden,
United Kingdom; acceding country: Croatia; and candidate countries: Iceland,
Serbia and Turkey. While dependent variable of analyze is gross domestic product
(volume), the independent variables are current account balance, general
government gross debt, general government revenue, general government total
expenditure, gross national savings, inflation (average consumer prices),
population, total investment, unemployment rate, volume of exports of goods and
services, volume of imports of goods and services. The analysis proposed is based
on a panel data (cross sectional time series data) approach. The dataset of this
research involves 31 EU member and EU candidate countries (cross sectional
units). The effects of 11 macroeconomic indicators on gross domestic product
volume were examined. The paper also empirically analyzes the negative impacts
of global financial crisis (the 2007 U.S. Subprime Financial Crisis) into EU member
and candidate countries’ economic growth during the 2002–2012 periods (time
series). In this context, the paper explains what a financial crisis is, the factors that
promote a financial crisis, and the dynamics of a financial crisis. Thus, the effects of
macroeconomic parameters are analyzed using panel data series. The findings of
this research are especially useful for EU candidate countries such as Iceland,
Serbia and Turkey for developing convenient economic strategies.
Keywords: European Union and Candidate Countries, Financial Crisis, Macro
Economic Parameters, Panel Data Analysis, Gross Domestic Product, Economic
Growth

Introduction
The relationship between economic growth and macroeconomic indicators has long been a
popular issue of debate in the literature of economic development. In this content, the
primary purpose of this research is to analyze macroeconomic indicators of EU member,
acceding and candidate countries’ economic growth using panel data approach. Annual

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�International Conference on Economic and Social Studies (ICESoS’13), 10-11 May, 2013, Sarajevo

data are used for the period 2002 to 2012. The sample period is dependent on annual data
availability. The data was gathered from the International Monetary Fund world economic
outlook data base.
Beine et al. (2011) proposed new panel data approach for examined the impact of skilled
emigration on human capital accumulation. The data was covering 147 countries during
the period 1975–2000. Predictions were tested using dynamic regression models. They
found that skilled migration prospects foster human capital accumulation in low-income
countries. Bortolotti et al. (2003) determined the reasons why governments privatize, and
the size and extent of privatization processes around the world with using a panel of 34
countries over the 1977 – 1999 period. They identified market, budget and institutional
constraints affecting privatization. Lee and Chang (2007) applied a new panel data
stationary testing procedure in order to re-investigate the dynamic interactions between
energy consumption per capita and real GDP per capita in 22 developed and 18 developing
countries. They found that in individual countries, structural breaks occur near other
variables in both developed and developing countries because of a tight relationship
between energy consumption and GDP. Sukiassyan (2007) attempted to empirically
evaluate that relationship with data from the transition economies of Central and Eastern
Europe and the Commonwealth of Independent States. He examined various dimensions of
the growth-inequality debate. His findings for transition countries indicated a strong,
negative contemporaneous growth-inequality relationship. Lee and Chang (2008) applied
the new heterogeneous panel cointegration technique to re-investigate the long-run
movements and causal relationships between tourism development and economic growth
for OECD and nonOECD countries for the 1990–2002 period. They determined that
tourism development has a greater impact on GDP in nonOECD countries than in OECD
countries. Haas and Lelyveld (2006) examined whether foreign and domestic banks in
Central and Eastern Europe react differently to business cycles and banking crises. Their
panel dataset comprised data of more than 250 banks for the period 1993–2000. They
showed that during crisis periods domestic banks contract their credit. In contrast,
Greenfield foreign banks play a stabilizing role by keeping their credit base stable. Also
they found a significant and negative relationship between home country economic growth
and host country credit by foreign bank subsidiaries. Tsoukas (2011) used a panel of five
Asian economies – Indonesia, Korea, Malaysia, Singapore and Thailand – over the period
1995–2007 for analyzing the links between firm survival and financial development. He
found that country-level indicators of financial development have an important role to play
in influencing firm survival and large firms would benefit the most from developments in
the stock market, while small firms are most severely affected from high levels of financial
intermediation.
Macro-Economic Indicators
Our model comprises twelve variables: while dependent variable of analyze is gross
domestic product (GDP); the independent variables are current account balance, general
government gross debt, general government revenue, general government total
expenditure, gross national savings, inflation (average consumer prices), population, total
investment, unemployment rate, volume of exports of goods and services, volume of
imports of goods and services. Gross Domestic Product represents the economic health of a
country. It presents a sum of a country's production which consists of all purchases of
goods and services produced by a country and services used by individuals, firms,
foreigners and the governing bodies. GDP consists of consumer spending, investment

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�International Conference on Economic and Social Studies (ICESoS’13), 10-11 May, 2013, Sarajevo

expenditure, government spending and net exports hence it portrays an all-inclusive picture
of an economy because of which it provides an insight to investors which highlights the
trend of the economy by comparing GDP levels as an index. GDP is not only used as an
indicator for most governments and economic decision-makers for planning and policy
formulation; but also it helps the investors to manage their portfolios by providing them
with guidance about the state of the economy. On the other hand, it is good measure for an
economy and with improvement in research and quality of data, statisticians and
governments are trying to find out measures to strengthen GDP and make it a
comprehensive indicator of national income.
International standards regarding the compilation of balance of payments statistics are
described in the fifth edition of the Balance of Payments Manual prepared by the
International Monetary Fund (IMF) in order to provide guidance to member
countries. In a general sense, the balance of payments is a statistical statement that
systematically records all the economic transactions between residents of a country
(Central Government, monetary authority, banks, other sector) and nonresidents for a
specific time period. The balance of payments statistics are classified under two major
groups: “Current Account” and “Capital and Financial Account”. In summary, the current
account covers all transactions that involve real sources (including volume of exports
and imports of goods and services,) and current transfers; the capital and financial
accounts show how these transactions are financed (by means of capital transfer or
investment in financial instruments). As mentioned in the European Economic series
(Current Account Surpluses in the EU, 9/2012, p.10), current account deficits and
surpluses are not necessarily macroeconomic imbalances in the sense of developments
which are adversely affecting, or have the potential to affect the proper functioning of
economies, of the monetary union, or on a wider scale. Deficits and surpluses are a natural
consequence of economic interactions between countries. They show to which extent a
country relies on borrowing from the rest of the world or how much of its resources it
lends abroad. In this way, external borrowing and lending allows countries to trade
consumption over time: a country with a current account surplus transfers consumption
from today to tomorrow by investing abroad. In turn, a country with a current account
deficit can increase its consumption or investment today but must transfer future income
abroad to redeem its external debt. Deficits and surpluses can thus simply be the result of
an appropriate allocation of savings, taking into account different investment opportunities
across countries. Differences in economic prospects lead to differences in saving behavior,
with brighter expectations reducing the tendency of economic agents to save and hence
contributing to the accumulation of deficits. In particular, countries with a rapidly ageing
population may find it opportune to save today (i.e. run surpluses) to smooth consumption
over time. On the other hand, current account deficits and surpluses are part of the
adjustment process in a monetary union. They absorb asymmetric shocks in the absence of
independent monetary policy and nominal exchange rate adjustment.
This paper also attempts to analyze the correlation that exists between GDP and inflation.
It is widely believed that there is a relationship between the two. The problem is that there
are disagreements as to what that relationship is or how it operates. As a result, when
governments make decisions based on these pieces of information, the outcome often
cannot be guaranteed. Exploration of the relationship between GDP and inflation is best
begun by developing an understanding of each term individually. As mentioned above,
GDP is an acronym for gross domestic product, which is the value of a nation's goods and
services during a specified period. This figure is generally regarded as an important

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�International Conference on Economic and Social Studies (ICESoS’13), 10-11 May, 2013, Sarajevo

indicator of an economy's health. Inflation refers the rate at which the general level of
prices for goods and services is rising, and, subsequently, purchasing power is falling.
In determining the economic position of a country is through a comparison of general
government gross debt, revenue, total expenditure, national savings and total investments
to the gross domestic product of the country. For instance, a low government gross debt to
GDP percentage is usually an indication of economic health, while a high debt to GDP
percentage can indicate financial trouble for a country.
Panel Data Analysis
"Panel Data" is set of data obtained by observation of the characteristics of a variety of
units (cross-sectional variables) over time (Ahn and Moon, 2001). Panel data set have both
cross-sectional and time-series dimensions. The size of the time series is formed by
monitoring the same cross-section units during a given period (Wooldridge, 2009).
When each subject (cross sectional unit) has the same number of obsevations, this type of
panel is called a balanced panel data set. If some subjects have different number of
observations, this situation is known as the unbalanced data case (Wooldridge, 2009).
Panel data sets that thousands of cross sectional units observed through the time are used in
many micro-economic researches (Hill et al., 2008). Panel data provide more informative
data, more variability, more degrees of freedom, less collinearity among the variables and
more efficiency (Baltagi, 2010).
Panel data analysis can be considered as a combination of regression and time series
analysis (Frees, 2004). This analysis is based on repetitive variance models because the
observations of the units are repetitive through time dimension (Pazarlıoğlu, 2001).
The main superiority of panel data due to working with the one dimensional crosssectional series or repeated cross sectional series that same units are not observed through
the time is to loosen the standard assumptions (Maddala and Lahiri, 2009).
By studying the repeated cross section of observations Panel data can better detect and
measure effects that cannot be observed in pure cross section or pure time series data
(Gujarati and Porter, 2009).
Analyzing the observations of cross section and time series provide more flexibility
compared to when used them separately by increasing the quantity and quality of data. In
panel data analysis, the cross-sectional units are considered to be heterogeneous and
controlled for the variation (heterogeneity). Pure time series or cross section studies which
are not controlling this heterogeneity there run the risk of obtaining biased results. Panel
data are able to control variables which are subject or time invariant (Baltagi, 2010).
Because panel data has time based dynamics with the observations of cross sectional data
repeated through time, the effect of unmeasured variables can be controlled (Hsiao, 2003).
With the use of cross-sectional observations over time, panel data analysis provides more
clarification character, less collinearity and more degrees of freedom and efficiency than
only cross sectional analysis or time series analysis (Tarı, 2010).

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�International Conference on Economic and Social Studies (ICESoS’13), 10-11 May, 2013, Sarajevo

In static panel data models, the covariance estimators (pooled panel data), fixed effects and
random effects estimators are widely used. When the cross-sectional units are
homogenous, pooled ordinary least squares panel model is used. In the presence of unitspecific or time-specific effects, in the case of assuming these effects to be fixed
parameters to be estimated, model is called as the fixed effects. The term “fixed effects”
expresses nonrandom quantities are accounted for the heterogeneity. If the subject specific
effects are assumed random and not correlated with the regressors (independent variables),
the model becomes random effects. These effects are included to the random effects model
as a component of the error term (Baltagi, 2010).
The panel models that do not have any lagged values of the dependent or/and independent
variables in the model as a regressor are called “static models”.
Fixed effects model and random effects model can be shown as follow:
Fixes Effects Model:
K

yit  i    k xkit  uit ,

i  1,..., N ,

t  1,..., T

(1)

i  1,..., N ,

t  1,..., T

(2)

k 1

Random Effects Model
K

yit    k xkit  i  uit  ,
k 1

Index i differentiates the subjects and ranges from 1 to N. N is the number of subjects.
Each subject is observed T times and the index t differentiates the observation times
through 1 to T. K is the number of the explanatory (independent) variables.
Analyzing Macro Economic Indicators in Turkey Using Panel Data
Variables and Descriptive Statistics
In this study, used database consists of the panel data set of 31 countries for the 2002-2012
term. Dataset is a balanced panel and has NxTxk = 31x11x12 = 4092 observations. Each
variable has NxT = 31x11 = 341 observations.
Dependent variable is ngdp (Gross domestic product, *billion dollars) and there are 11
independent variables. Average value of ngdp for 31 countries is 504 billion dollars.
Independent variables and measuring units are listed in Table 1.

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�International Conference on Economic and Social Studies (ICESoS’13), 10-11 May, 2013, Sarajevo

Table 1: Independent Variables and Measuring Units

Code
bca_ngdpd
lp
lur

Variable
Current account balance
Population (*10,000,000)
Unemployment rate

pcpipch
tx_rpch
tm_rpch
ggxwdg_gr

Inflation, average consumer prices
Volume of exports of goods and services
Volume of imports of goods and services
Growth rate in general government gross
debt
Growth rate in general government revenue
Growth rate in general government total
expenditure
Gross national savings
Total investment

ggr_gr
ggx_gr
ngsd_ngd
nid_ngdp

Units
Percent of GDP
Persons
Percent of total labor
force
Percent change
Percent change
Percent change
Rate
Rate
Rate
Percent of GDP
Percent of GDP

Descriptive statistics for the variables used in the analysis are shown below in Table 2.
Descriptive statistics values are ordinary and there are not exceptional values in the dataset.

Table 2: Summary Statistics
Variable

Obs

Mean

ngdp
bca_ngdpd
lp
lur
pcpipch
tx_rpch

341
341
341
341
341
341

503.9614
-.029675
1.858403
.0883615
.0366609
.0511077

tm_rpch
ggxwdg_gr
ggr_gr
ggx_gr
ngsd_ngd
nid_ngdp

341
341
341
341
341
341

.0469935
1.097167
1.063697
1.066551
.1909255
.2206239

Std. Dev.

Min

Max

800.7973
.067328
2.357604
.0435064
.0385439
.0796323

4.303
-.28352
.0288
.01014
-.01706
-.23794

3640.727
.11852
8.252
.25552
.45134
.31648

.0990369
.1719402
.0779949
.0766898
.058724
.0508613

-.33327
.814583
.8267854
.7331372
-.04103
.09755

.29259
2.736609
1.470259
1.604453
.34076
.39959

Table 3 below displays the correlation coefficiencies between the variables. Highest
correlations among the independent variables are coefficient between tx_rpch and tm_rpch
which is 0.80; between bca_ngdpd and ngsd_ngd which is 0.68 and between ggr_gr and
ggx_gr which is 0.67.

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�International Conference on Economic and Social Studies (ICESoS’13), 10-11 May, 2013, Sarajevo

Table 3: Correlation Coefficiencies Between the Variables
ngdp bca_ng~d
ngdp
bca_ngdpd
lp
lur
pcpipch
tx_rpch
tm_rpch
ggxwdg_gr
ggr_gr
ggx_gr
ngsd_ngd
nid_ngdp

1.0000
0.2523
0.8671
-0.0561
-0.1781
-0.1143
-0.0812
-0.0745
-0.2088
-0.2049
0.0662
-0.2582

1.0000
0.1296
-0.1418
-0.3444
-0.1263
-0.1587
-0.1186
-0.4142
-0.4468
0.6783
-0.5400

lp

lur

pcpipch

tx_rpch

tm_rpch ggxwdg~r

1.0000
0.0814
0.0712
-0.0300
0.0121
-0.0601
-0.0224
-0.0700
-0.0444
-0.2228

1.0000
0.0973
0.0952
-0.0401
0.0332
-0.0132
-0.0945
-0.2647
-0.1154

1.0000
0.2085
0.1792
0.2055
0.5445
0.4881
-0.2286
0.1894

1.0000
0.8007
-0.1519
0.5022
0.1830
0.0428
0.2140

1.0000
-0.3249
0.6518
0.3087
0.1004
0.3200

1.0000
-0.1608
0.1003
-0.1634
-0.0270

ggr_gr

1.0000
0.6678
-0.1201
0.4066

Table 4 (continued)
ggx_gr ngsd_ngd nid_ngdp
ggx_gr
ngsd_ngd
nid_ngdp

1.0000
-0.1760
0.3872

1.0000
0.2491

1.0000

Figure 1 shows the panel line graph for the dependent variable ngdp.

0

ngdp
1000 2000 3000 4000

Figure 1: Panel Line Graph for the Dependent Variable ngdp.

2002

2004

2006

2008

2010

2012

t
id = 1/id = 16/id = 31
id = 2/id = 17
id = 3/id = 18
id = 4/id = 19
id = 5/id = 20
id = 6/id = 21
Static Linear Panel Data Models
id = 7/id = 22
id = 8/id = 23
id = 9/id = 24
id = 10/id = 25
To determine the relationship idbetween
the ngdp and the independent
variables, the
= 11/id = 26
id = 12/id = 27
effects model and the random effects
model
static linear
id = 13/id
= 28 which are the most
id common
= 14/id = 29
data analysis models are used.id ngdp
is
modeled
as
a
function
of
11
factors.
The
= 15/id = 30

fixed
panel
fixed

effects model is
ngdpit  i  1bca _ ngdpdit  2lpit  3lurit   4 pcpipchit  5tx _ rpchit  6tm _ rpchit 

7 ggxwdg _ grit  8 ggr _ grit  9 ggx _ grit  10 ngsd _ ngdit  11nid _ ngdpit  uit

7

(3)

�International Conference on Economic and Social Studies (ICESoS’13), 10-11 May, 2013, Sarajevo

and the random effects model is
ngdpit  1bca _ ngdpdit  2lpit  3lurit  4 pcpipchit  5tx _ rpchit  6tm _ rpchit 

7 ggxwdg _ grit  8 ggr _ grit  9 ggx _ grit  10 ngsd _ ngdit  11nid _ ngdpit  i  uit 

(4)

i stands for the country number, t stands for the year, uit is the error term for the fixed
effects model and  i  uit  is the composite error term for the random effects model. If the
country effects are uncorrelated with the regressors, they are known as random effects. In
the random effects model, because there is no correlation between the country specific
effects and the regressors, country specific effects are parameterized as additional random
disturbances. If the country effects are correlated with the regressors, then they are known
as fixed effects. If there is no country specific effect in the model, then the model becomes
as the pooled ordinary least squares regression which is
ngdpit    1bca _ ngdpdit  2lpit  3lurit  4 pcpipchit  5tx _ rpchit  6tm _ rpchit 

7 ggxwdg _ grit  8 ggr _ grit  9 ggx _ grit  10 ngsd _ ngdit  11nid _ ngdpit  uit

Firstly, the null hypothesis that constant terms are equal across countries is tested to
determine if the pooled ols regression will produce inconsistent estimates. Pooling test
examines whether the intercepts take on a common value α and also known as the test for
heterogeneity. Hypothesis is tested with F test
Table 5: Testing for the Country Specific Effects
H 0 : 1   2  ...   N  0
F  30; 299   53.51 prob  F  0.0000

The p value is 0.0000. Null hypothesis is rejected. This provides strong evidence for the
case for retaining country specific effects in the model specification. So, the pooled
ordinary least squares model is inconsistent. The Pooled ols model (OLS_ALL), the fixed
effects model (FE_ALL) and the random effects model (RE_ALL) results are shown
respectively in the Table 6.

8

(5)

�International Conference on Economic and Social Studies (ICESoS’13), 10-11 May, 2013, Sarajevo

Table 6: Pooled OLS, Fixed Effects and Random Effects Models
Variable
bca_ngdpd

lp

lur

pcpipch

tx_rpch

tm_rpch

ggxwdg_gr

ggr_gr

ggx_gr

ngsd_ngd

nid_ngdp

_cons

OLS_ALL
-2262.4661
4370.5294
0.6050
301.64765
8.1437477
0.0000
-1999.2071
453.07528
0.0000
-3815.9149
637.28187
0.0000
300.14161
410.33191
0.4650
-322.03228
394.86506
0.4153
28.853357
123.78207
0.8158
-719.79669
461.1889
0.1195
-5.9833848
356.36172
0.9866
2695.1518
4356.2346
0.5365
-2437.9341
4385.0456
0.5786
956.24528
473.76334
0.0444

FE_ALL

RE_ALL

-226.33522
1857.8225
0.9031
1307.4635
117.2346
0.0000
-1265.4896
423.61627
0.0030
433.10129
315.38152
0.1707
-96.767791
178.34864
0.5878
53.95787
170.45905
0.7518
64.067478
58.362333
0.2732
80.987428
201.15488
0.6875
-297.12541
160.88146
0.0658
799.33888
1837.575
0.6639
-535.27354
1876.4762
0.7756
-1708.2562
350.40975
0.0000

-1109.0438
2124.4992
0.6017
321.11738
21.354954
0.0000
-1035.926
445.29327
0.0200
-511.81024
345.09672
0.1380
7.3488318
203.62366
0.9712
-49.725872
194.31987
0.7980
50.45071
66.448925
0.4477
-85.169113
229.66851
0.7108
-270.85056
183.05769
0.1390
1138.2268
2106.3063
0.5889
-1057.3717
2146.4956
0.6223
326.62786
303.98464
0.2826

Also, the null hypothesis that the variances of the country specific effects are equal to zero
is tested by the Lagrange Multiplier test and the null hypothesis that the standard
deviations of the country specific effects are equal to zero is tested by the Likelihood Ratio
test. Results are given in the Table 7.
Table 7: The Lagrange Multiplier and the Likelihood Ratio Test Results
Lagrange Multiplier Test

Likelihood Ratio Test

H 0 :    0 (Pooled ols regression is

H 0 :    0 (Pooled ols regression is

appropriate.)

appropriate.)

2

i

i

LM 12  1014.36

12  460.78

prob   2  0.0000

9

prob   2  0.0000

�International Conference on Economic and Social Studies (ICESoS’13), 10-11 May, 2013, Sarajevo

Because there is country specific effects, pooled ols model shown in the first column is
inappropriate. Most of the regressors are not significant. Finally 3 of all independent
variables are significant and by using these regressors which are lp, lur and ggx_gr, the
fixed and the random effects models are estimated and the results are shown in the first two
coloumns of the Table 8 below.
Table 8: Static Linear Panel Data Models
Variable
lp

lur

ggx_gr

_cons

FE

RE

FE_RB

1197.3581
106.32105
0.0000
-1184.4394
333.84411
0.0004
-280.13589
135.07513
0.0389
-1317.7746
252.77713
0.0000

341.39549
26.803482
0.0000
-929.58167
357.12541
0.0092
-349.138
147.50442
0.0179
324.02372
192.98142
0.0931

1197.3581
403.34191
0.0058
-1184.4394
494.79103
0.0231
-280.13589
108.78589
0.0152
-1317.7746
721.32216
0.0777

FE_PCSE
285.99362
23.468885
0.0000
-1825.0088
353.80452
0.0000
-396.77413
124.34375
0.0014
542.47688
150.79341
0.0003

FE_DK
1197.3581
248.13309
0.0000
-1184.4394
230.59185
0.0000
-280.13589
71.993731
0.0005
-1317.7746
474.06457
0.0093

The random effects model specifies the country specific effects as a random draw that is
uncorrelated with the regressors and the overall error term. The random effects estimator
uses the assumption that the country specific effects are uncorrelated with the regressors
and the extra orthogonality conditions are valid. This assumption is tested by using
Hausman test and the results are given in Table 9.
Table 9: Hausman Specification Test Results

Variable

Fixed
Effects
(b)

Random Effects
(B)

Difference
(b-B)

lp
lur
ggx_gr

1197.36
-1184.44
-280.14

.341.40
-929.58
-349.14

855.96
-254.86
69.00

H 0 : Differences in coefficients are not systematic. (the RE estimator

is consistent)
1
32   b  B  Vb  VB    b  B   67.83

prob   2  0.0000

The Hausman test’s null hypothesis is rejected. Country specific effects are correlated with
the regressors. Because the random effects estimator is inconsistent, the fixed effects
model is the appropriate one.

10

�International Conference on Economic and Social Studies (ICESoS’13), 10-11 May, 2013, Sarajevo

Before using the fixed effects model, diagnostic tests for the model assumption must be
performed. The most important assumptions of the fixed effects estimator are
homoscedasticity, no serial correlation and no contemporaneous correlation. Testing for
homoscedasticity is performed by using modified Wald test for the null hypothesis of
homoscedasticity against the heteroscedastic alternative. Testing for serial correlation is
performed by using Baltagi-Wu locally best invariant test, modified Bhargava et.al. Durbin
Watson test and Wooldridge’s serial correlation test respectively. For testing the absence
of the contemporaneous correlation assumption, Breusch-Pagan Lagrange Multiplier test,
Pesaran CD test, Friedman’s R test and Frees’ Q test are performed. Test results are given
below in Table 10.
Table 10: Results of the Diagnostic Tests
Test
Homoscedasticity
Modified Wald

Hypothesis

Test Statistic

Probability

H 0 :  i2   2

312  5.8*105

Baltagi-Wu LBI.

H0 :   0

LBI  0.8299

Modif. Bhargavaet.al. DW

H0 :   0

DW  0.4144

Wooldridge’s Serial
Correlation

H 0 : No first order serial

F1;30  909.67

p  F1;30  0.0000

2
 465
 1838.14

2
p   465
 0.0000

p  312  0.0000

Serial Correlation

correlation

Contemporaneous
Correlation
Breusch-Pagan LM

H 0 : No contemporaneous

Pesaran CD

correlation
H 0 : No contemporaneous

CD  22.53

p  CD  0.0000

Friedman’s R

correlation
H 0 : No contemporaneous

R  106.31

p  R  0.0000

Frees’ Q

correlation
H 0 : No contemporaneous

Qtest  7.89

correlation
Critical Values from Frees’ Q distribution:

  0.10

: 0.2333

  0.05

: 0.3103

  0.01

: 0.4649

Because the Modified Wald test p value is 0.0000, the null hypothesis is rejected and the
model has heteroscedasticity. For serial correlation, Wooldridge’ serial correlation F test
statistic is 909.67 and the p value is 0.0000. Model has serial correlation problem.
Additionally both Baltagi-Wu LBI. and modified Bhargava et. al. DW serial correlation
test statistics which are 0.8299 and 0.4144 respectively indicate that the model has serial
correlation problem. All tests performed for the contemporenaous correlation point that
there is cross sectional correlation in the model.

11

�International Conference on Economic and Social Studies (ICESoS’13), 10-11 May, 2013, Sarajevo

The last three columns of the Table 6 shows the fixed effects model with the Huber-White
standard errors that is robust to heteroscedasticity and serial correlation (FE_RB); the fixed
effects model with panel corrected standard errors that is robust to heteroscedasticity and
the cross sectional (contemporaneous) correlation (FE_PCSE); the fixed effects model with
the Driskoll-Kraay standard errors that is robust to the heteroscedasticity, serial correlation
and to the cross sectional correlation (FE_DK).
FE, FE_RB and the FE_DK models have the same coefficient estimates with the different
standard errors. The FE_PCSE model has different coefficient estimates from the other
three models. Finally, because of the violations of the assumptions and the nature of the
model estimators, the last model can be used to interpret the relationship between the
dependent variable and the regressors (independent variables).
The coefficient of lp (1197.36) indicates that if the population increases 10 million, the
dependent variable gross domestic product (ngdp) increases about 1.2 billion dollars.
Because the coefficient of lur is -1184.44, if the unemployment rate increases 1%, the
gross domestic product decreases about -11.84 billion dollars. The estimated coefficient of
the ggx_gr is -280.14 and it can be interpreted as if the growth rate in general government
total expenditures increases 1%, the gross domestic product decreases about -2.80 billion
dollars.
Conclusion and suggestions
In this paper the authors used panel data approach to analyze the individual effect of some
of the key macroeconomic indicators (current account balance, general government gross
debt, general government revenue, general government total expenditure, gross national
savings, inflation (average consumer prices), population, total investment, unemployment
rate, volume of exports of goods and services, volume of imports of goods and services) on
economic growth (GDP) of EU, acceding and candidate countries over during the 2002–
2012 period. The main findings of static model indicate that level of population positively
affects economic growth. That is, 10 million increase in population leads to rise in GDP
over 1.2 trillion dollars. Whereas the level of unemployment rate and total expenditure
negatively affect economic growth. One percent increase in the unemployment rate
decreases GDP by 11.8 billion dollars and one percent increase in the total expenditure
decreases GDP by 2.80 billion dollars.

References
Ahn, S. C., Moon, H. R. (2001). Large-N and Large-T Properties of Panel Data Estimators
and the Hausman Test”, USC CLEO Research Paper, No. C01-20.
Baltagi, B. H. (2010). Econometric Analysis of Panel Data, Fourth Edition, John
Wiley&amp;Sons Ltd, 2010.
Beine, M., Docquier, F., Oden-Defoort, C. (2011). A Panel Data Analysis of the Brain
Gain. World Development (39), 4, 523–532.

12

�International Conference on Economic and Social Studies (ICESoS’13), 10-11 May, 2013, Sarajevo

Bortolotti, B., Fantini, M., Siniscalco, D. (2003). Privatisation around the world: evidence
from panel data. Journal of Public Economics, 88, 305 – 332.
Frees, E. W. (2004). Longitudinal and Panel Data, Analysis and Applications in the Social
Sciences, New York, Cambridge University Press.
Gujarati, D. N., Porter, D. C., (2009). Basic Econometrics, Fifth Edition, McGraw Hill,
New York.
Haas, R. de, Lelyveld, I. van, (2006). Foreign banks and credit stability in Central and
Eastern Europe. A panel data analysis. Journal of Banking &amp; Finance 30, 1927–
1952.
Hill, R. C., Griffiths, W. E., Lim, G. C. (2008). Principles of Econometrics, 3rd press, John
Wiley &amp; Sons.
Hsiao, C. (2003). Analysis of Panel Data, 2nd press, New York, Cambridge University
Press, 2003.
Maddala, G.S., Lahiri, K. (2009). Introduction to Econometrics, 4th press., West Sussex,
John Wiley &amp; Sons.
Lee, C. C., Chang, C. P., (2007). Energy consumption and GDP revisited: A panel analysis
of developed and developing countries. Energy Economics, 29, 1206 – 1223.
Lee, C. C., Chang, C. P., (2008). Tourism development and economic growth: A closer
look at panels. Tourism Management 29 (2008) 180 – 192.
Pazarlıoğlu, M.V. (2001). 1980-1990 Döneminde Türkiye’de İç Göç Üzerine Ekonometrik
Model Çalışması”, V. Ulusal Ekonometri ve İstatistik Sempozyumu, Çukurova
Üniversitesi, Adana (In Turkish).
Sukiassyan, G. (2007). Inequality and growth: What does the transition economy data say?
Journal of Comparative Economics, 35, 35–56.
Tari, R. (2010). Ekonometri, Extended 6th press, Umuttepe Kitabevi, Kocaeli, (In
Turkish).
Tsoukas, S., (2011). Firm survival and financial development: Evidence from a panel of
emerging Asian economies. Journal of Banking &amp; Finance, 35, 1736–1752.
Wooldridge, J. M. (2009). Introductory Econometrics, 4th press, Canada, South Western

13

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                <text>During last 10 years some EU countries had economic instability. They have  short and long term challenges such as unemployment, population ageing,  globalization etc. In this study it is aimed to analyze macroeconomic  indicators of EU countries’ economic growth using panel data approach.  Static and dynamic panel data models were used for determining the  effects of independent macro-economic variables on gross domestic  product (GDP) of EU member countries including Austria, Belgium,  Bulgaria, Cyprus, Czech Republic, Denmark, Estonia, Finland, France,  Germany, Greece, Hungary, Ireland, Italy, Latvia, Lithuania, Luxembourg,  Malta, Netherlands, Poland, Portugal, Romania, Slovakia, Slovenia, Spain,  Sweden, United Kingdom; acceding country: Croatia; and candidate  countries: Iceland, Montenegro, Serbia, The former Yugoslav Republic of  Macedonia and Turkey. While dependent variable of analyze is gross  domestic product (volume), the independent variables are current account  balance, general government gross debt, general government revenue,  general government total expenditure, gross national savings, inflation,  average consumer prices, population, total investment, unemployment  rate, volume of exports of goods and services, volume of imports of goods  and services. The analysis proposed is based on a panel data (cross  sectional time series data) approach. The dataset of this research involves  33 EU member and EU candidate countries (units). The effects of 12  macroeconomic indicators on gross domestic product volume were  examined. The paper also empirically analyzes the negative impacts of  global financial crisis (the 2007 U.S. Subprime Financial Crisis) into EU  member and candidate countries’ economic growth during the 2002–2012 crisis is, the factors that promote a financial crisis, and the dynamics of a  financial crisis. Thus, the effects of macroeconomic parameters are  analyzed using panel data series. The findings of this research are  especially useful for EU candidate countries such as Iceland, Montenegro,  Serbia, The Former Yugoslav Republic of Macedonia and Turkey for  developing convenient economic strategies.  Keywords: European Union and Candidate Countries, Financial Crisis,  Macro Economic Parameters, Panel Data Analysis, Gross Domestic Product,  Economic Growth.</text>
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                    <text>International Conference on Economic and Social Studies, 10-11 May, 2013, Sarajevo

A Research on Beck Hopelessness Scale of the Students
in Vocational School of Higher Education
Sebahattin Taş
Akdeniz University, Antalya, Turkey
Yusuf Yılmaz
Akdeniz University, Antalya, Turkey
yusufyilmaz@akdeniz.edu.tr
Osman Nuri Demirel
Akdeniz University, Antalya, Turkey
onuridemirel@mynet.com
Hakan Çetin
Akdeniz University, Antalya, Turkey
hakanc@akdeniz.edu.tr
Engin Üngüren
Akdeniz University, Antalya, Turkey
enginunguren@akdeniz.edu.tr
In this research, it has been investigated the hopelessness levels of
students who study at Akdeniz University Vocational School of Social
Sciences and whether some demographic variables affect the hopelessness
levels of students. 376 students have participated in the research. Beck
Hopelessness Scale (BDS) and a personal questionnaire have been utilized
in data collection. According to the characteristics of the study group,
descriptive frequency and percentage tables of the variables collected by
the data collection tools have been created. To investigate the differences
between two groups Independent Sample T Test, to compare more than
two groups, one-way ANOVA have been applied. To determine which
group causes the obtained difference, LSD test from post hoc analysis has
been applied.
Keywords: Beck Hopelessness Scale, Hopelessness Level, Hopelessness,
Vocational School Students, Management.

249

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YILMAZ, Yusuf
NURI DEMIREL, Osman
CETIN, Hakan
Unguren, Engin</text>
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                <text>In this research, it has been investigated the hopelessness levels of  students who study at Akdeniz University Vocational School of Social  Sciences and whether some demographic variables affect the hopelessness  levels of students. 376 students have participated in the research. Beck  Hopelessness Scale (BDS) and a personal questionnaire have been utilized  in data collection. According to the characteristics of the study group,  descriptive frequency and percentage tables of the variables collected by  the data collection tools have been created. To investigate the differences  between two groups Independent Sample T Test, to compare more than  two groups, one-way ANOVA have been applied. To determine which  group causes the obtained difference, LSD test from post hoc analysis has  been applied.  Keywords: Beck Hopelessness Scale, Hopelessness Level, Hopelessness,  Vocational School Students, Management.</text>
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                    <text>International Conference on Economic and Social Studies, 10-11 May, 2013, Sarajevo

The Effects of Cultural Differences and Politics on Tax
Morale: The Case of Italy and Turkey
Recep Tekeli
University of Adnan Menderes, Turkey
rtekeli@adu.edu.tr
In this paper we analyze the tax morale in Turkey and Italy, using data from
the fifth wave of World Values Surveys. Using Survey data for comparative
analysis we can see the differences in several factors affecting Tax Morale
between Italy (mainly composed of Catholics) and Turkey (mainly
composed of Muslims). The results for the magnitude of tax morale show
that Italy and Turkey rank in the highest as compared to other countries
within their regions. Thus, this gives a task to explain why tax morale is
very high in these two countries which differ in cultures and politics; what
determines tax morale and are there any similarities between these two
countries in the determination of tax morale level. We empirically test
what shapes tax morale by using Ordered Probit model. We have followed
the literature but used additional variables to see what determines the
notion “intrinsic motivation to pay taxes i.e. tax morale”. Most of our
findings are in line with the earlier works in tax morale literature. We agree
with the statement that not only trust in the government might have an
effect on tax morale (Turkey), but also trust in the court, or the legal
system (Italy), and hence the way the relationship between the state and
its citizens is established. Also our findings indicate that older individuals
tend to exhibit higher tax morale. In line with the previous findings in the
literature pride has positive effect on tax morale level in the study
countries. The results on religion, indicates that while tax cheating is
immoral for Religious individuals in Turkey, we cannot make the same
conclusion for the religious individuals in Italy.
Keywords: Tax morale; Tax compliance.
JEL classification: H26; H30

245

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The Effects of Cultural Differences and Politics on Tax Morale: The Case of
Italy and Turkey
RecepTekeli
Adnan Menderes University, Nazilli, Turkey
rtekeli@adu.edu.tr

Abstract
In this paper we analyze the tax morale in Turkey and Italy, using data from the
fifth wave of World Values Surveys. Using Survey data for comparative analysis
we can see the differences in several factors affecting Tax Morale between Italy
(mainly composed of Catholics) and Turkey (mainly composed of Muslims). The
results for the magnitude of tax morale show that Italy and Turkey are rank in the
highest as compared to other countries within their regions. Thus, this gives a task
to explain why tax morale is very high in these two countries which differ in
cultures and politics; what determines tax morale and are there any similarities
between these two countries in the determination of tax morale level. We
empirically test what shapes tax morale by using Ordered Probit model. We have
followed the literature but used additional variables to see what determines the
notion “intrinsic motivation to pay taxes i.e. tax morale”. Most of our findings are
in line with the earlier works in tax morale literature. We agree with the statement
that not only trust in the government might have an effect on tax morale (Turkey),
but also trust in the court, or the legal system (Italy), and hence the way the
relationship between the state and its citizens is established. Also our findings
indicate that older individuals tend to exhibit higher tax morale. In line with the
previous findings in the literature pride has positive effect on tax morale level in the
study countries. The results on religion indicate that while tax cheating is immoral
for Religious individuals in Turkey, we cannot make the same conclusion for the
religious individuals in Italy.
Keywords: Tax morale; Tax compliance
JEL classification: H26; H30

Introduction
Why do people pay taxes? This question recently has started to be pronounced more often
and attracted increased attention in the tax (non)compliance literature over the last few
years. It is supposed that nobody likes to pay taxes but governments can still generate tax
revenues. One possible answer among the scholars is to force people to pay their taxes by
establishing a deterrence policy.
In line with the economics-of-crime approach, Allingham and Sandmo‟s (1972) model
shows that the extent of tax evasion is negatively correlated with the probability of
detection and the degree of punishment. However, because of the empirical and
experimental findings, their seminal model has attracted many criticisms by researchers.
These deterrence models predict a comparatively high incidence of tax evasion; even in
many countries, the actual level of deterrence is found to be too low to explain the high
degree of tax compliance(see Torgler et al 2010:294; Torgler and Shaltegger, 2006:396).

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In the tax compliance literature this seemed to be a “puzzle”, or in other words, it is indeed
an avenue to study further for the scholars. To resolve this puzzle of tax compliance, many
researchers have tried to link tax morale to the high degree of tax compliance (e.g., Frey
and Feld 2002; Feld and Tyran 2002; Torgler 2001 and Torgler and Schneider 2009). In
this perspective, Torgler, (2003:290) argued that Erard and Feinstein‟s work (1994)
“demonstrates the relevance of integrating moral sentiments into the models to provide a
reasonable explanation of actual compliance behavior”. Also while reviewing the tax
compliance, Andreoni et al. (1998:852) suggest that “adding moral and social dynamics to
models of tax compliance is as yet a largely undeveloped area of research” (see Torgler
Schneider and Shaltegger 2010:294).
Following Torgler‟s researches into the field of tax morale, rather than treating tax morale
as a black box, or a residuum, many papers have analyzed which factors shape or maintain
tax morale (see Torgler and Schneider 2007ab; Torgler and Murphy 2004; and Torgler et al
2010). In addition, this puzzle concerns policymakers because they need to know the
driving forces of tax morale and the possibility that it influences willingness to pay taxes
so that they can design efficient tax system. In the literature, tax morale is defined as “a
moral obligation to pay taxes”, or “a belief in contributing to society by paying taxes”. It is
also defined as “the existence of an intrinsic motivation to pay taxes” (Torgler 2003; 2004;
Torgler and Schneider 2009; Cummings et al 2009; Torgler 2005). This is not an output
variable like the size of shadow economy; it measures individual attitude not individual
behavior (Torgler 2004; Torgler and Schneider 2009). Tax morale is also closely linked to
the term taxpayer ethics by Alm and Torgler (2006:228) and Torgler and Schneider
(2007a:10; 2007b:444) and used the definition by Song and Yarbrough (1978:443) that,
“the norms of behaviour governing citizens as taxpayers in their relationship with the
government”. Torgler and Murphy(2004:301) defines the concept as “tax morale can
generally be understood to describe the moral principles or values individuals hold about
paying their tax”1
Why Tax Morale is Important? Stemming from German scholars in the 1960s, Torgler
and Schneider (2007a:10-11) argue that values and attitudes can affect individual behavior:
Apart from sanctions, Spicer and Lundstedt (1976) argued that a set of attitudes and norms
might have effect on the choice between tax compliance and evasion. Lewis (1982) points
out that “it could be that tax evasion is the only channel through which taxpayers can
express their antipathy … we can be confident in our general prediction that if tax attitudes
become worse, tax evasion will increase” (p. 165, 177).” (excerpted from Torgler and
Schneider 2007a:10-11). Therefore, we can state that values and attitudes can affect
individual‟s behavior.
Tax noncompliance is actually inevitable fact in all societies (see Schneider 2005;
Schneider et al 2010 and Schneider and Buehn 2013). Schneider (2005:598) argues that
most societies attempt to control shadow economic activities “through measures such as
punishment and prosecution, or by relying on economic growth or education”. Schnieder
(2005), Schneider et al (2010) ) and Schneider and Buehn (2013) have provided estimates
of the size of the shadow economies for OECD countries over the periods of time. The first
conclusion from these results is that for all countries investigated the shadow economy has
1

Tax morale is sometimes related to the term tax culture. Although it is not well conceptually organized yet,
tax culture is defined as all residual factors that have not been considered to explain the behavior of tax
compliance. In this aspect, Nerre (2008:155) defines tax culture as follows: “A country-specific tax culture is
the entirety of all relevant formal and informal institutions connected with the national tax system and its
practical execution, which are historically embedded within the country‟s culture, including the dependencies
and ties resulting from their ongoing interaction.”

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reached a remarkably large size and increasing over the years. Also, the empirical results
convincingly demonstrate that an increasing burden of taxation and social security
payments, combined with rising state regulatory activities, are the major driving forces
underlying the size and growth of the shadow economy.
In Graph 1, the lowest shadow economies have Austria, Luxembourg and Britain with the
size of shadow economy around 10 to 12 percent in 2010. The size of shadow economy in
Italy was 26.74% in 2010. The highest shadow economies among 26 EU countries have
Romania with 30.9 and Bulgaria 31.9 percent. These countries‟ sizes of shadow economy
are above Turkey‟s size in 2010 i.e 29%. The comparison of shadow economies in EU
shows an important phenomenon for some countries to deal with. The main problem in the
shadow economy, or black economy, is the fact that individuals are behaving dishonestly
by providing false information. If so, what would lead citizens to behave more honestly,
provide correct information and improve the tax compliance rate? Some believe that tax
morale is an answer to this question (see Feld and Frey 2002). Also, Torgler and Schneider
(2007b) argue that a reduction of tax morale reduces the moral costs of behaving illegally
and increases the incentives to work in the black economy.

Shadow, %GDP,
31.9
29
26.7

35
30
25
20
15 9.6
10
5
0

Romania

Malta

Lithuania

Poland

Spain

Estonia

Latvia

Mean

Finland

Denmark

Czech…

France

20.5

UK

Luxemb…

Axis Title

Graph 1: Size of the Shadow Economy in 26 EU Countries and Turkey (2010)

Source: Graph 1 is prepared by using shadow economy estimates of Schneider et al (2013)

According to Alm, et al (2004), a negative correlation between the size of the shadow
economy, which is a measure of the extent of tax evasion, and tax morale indicates the
extent to which individuals‟ revealed actions are related to their attitudes about paying
taxes (Torgler and Schneider 2009:230; 2007b). In this extent, a number of previous
studies have investigated the simple correlation between tax morale and the size of shadow
economy. For example, Alm and Torgler (2006:242) focusing on Europe and the United
States find a strong negative correlation (r=-0.460). Alm et al (2006) focused on transition
countries and their results indicate a strong negative correlation between both variables (0.657) (see Torgler and Schneider, 2009:230). Torgler (2005) studied in Latin America,
and found a strong negative correlation between both variables (-0.511). Torgler and
Schneider (2009) find a significant correlation between tax morale and the size of shadow
economy. Also, the beta coefficients show that its quantitative impact is comparable to
other determinants. Schneider and Buehn (2013) show that average relative impact of the
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tax morale on the shadow economy of 38 OECD countries over 1999 to 2010 is 9,5% and
its effect on the shadow economy is -0.21. The conclusion is that higher tax morale leads to
a smaller shadow economy.
It has been argued that if tax authority places a taxman under every bed it is highly likely
to achieve a high level of tax compliance rate but with high costs to the tax authority.
Torgler and Shaltegger (2006:397) argues that “even though taxation is enforced by law,
there is a moral dimension in paying taxes for many people”. For example, Slemrod
(1992:7) “states that methods that reinforce and encourage taxpayers‟ devotion to their
responsibilities as citizens play an important role in the tax collection process” (excerpted
from Torgler and Shaltegger 2006:397). If tax morale is thought to be an explanation for
why tax compliance rates are so high, it would be interesting to analyze what may shape
tax morale among taxpayers. Next section examines the magnitude and determinants of
Tax Morale. Model and variables which are considered to be important explaining tax
morale are presented as well. Section 3 gives the empirical results in Turkish and Italian
experience i.e. those countries differ in culture, religion and politics. Last section
concludes the paper.
Magnitude and Determinants of Tax Morale
1 Magnitude
If tax morale is seen as an important factor to understand the puzzle of tax compliance and
plays a significant role in determining the levels of shadow economy, then it is necessary
to investigate the determinants of tax morale. Thus, this section focuses on the magnitude
and determinants of tax morale in the study countries: Turkey and Italy. We define tax
morale as “the intrinsic motivation to pay taxes” as defined by Torgler in his papers. This
is not physical output variable such as tax evasion or the size of shadow economy. It
measures an individual‟s willingness to pay taxes, in other words, “the moral obligation to
pay taxes” or “the belief that paying taxes contributes to society”. Data for the tax morale
variable are extracted from the World Values Survey (WVS) (see Inglehart et al., 2000).
The World Value Survey is a worldwide investigation of socio-cultural and political
change, which includes the case of Turkey and Italy. In the 2005 wave of the survey, a
total of 1346 Turkish citizens and 1012 Italian citizens agreed to participate in the study. In
the survey, our main concern is the question number 200 which is about the attitudes
toward cheating on taxation. This attitude was measured with the 10 different scales, where
the value of one (1) indicates that cheating on taxation is never justifiable and the value of
ten (10) means it is always justifiable. The general question to assess the level of tax
morale in World Values Survey is that:
“Please tell me for each of the following statements whether you
think it can always be justified, never be justified, or something in
between”:
V200. Cheating on tax if you have the chance.
1

2

3

4

5

6

never justified

7

8

9

10
always justified

Following the literature, the tax morale variable is generated by recoding this ten-point
scale into a four point scale (0,1,2, and 3), with the value 3 standing for “never justifiable”.
As usual, the value of 0 is an aggregation of the last 7 scale points (4-10), which were
rarely chosen (ie, 0 = “always justifiable” to 3 = “never justifiable”; original scores of 4-10
were recoded into 0 = “always justifiable”).

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We should point Elffers et al. (1987) that their findings indicate the differences between
actual evasion assessed and evasion reported in survey responses. This result shows that
subjective surveys are always prone to significant reporting errors. As argued by some
researchers, tax morale is also measured with subjective survey responses in WWS, thus
the measurement of tax morale is not free of bias (e.g. Torgler 2004; Torgler and Schneider
2007; Torgler et al 2010). Because the available data from surveys are based on selfreports in which respondents may tend to overstate their degree of compliance (Andreoni
et al. 1998), no objective or directly observable measure of tax morale is available.
However, the degree of honesty is expected to be higher because in the WWS the tax
morale is defined less sensitive than directly asking whether a person has evaded taxes.
Moreover, the dataset is based on wide-ranging surveys (based on more than two hundred
questions) it was assumed to reduce the probability of respondent suspicion and the
framing effects of other tax context questions. However, it can still be argued that a
taxpayer who has evaded in the past will tend to excuse this kind of behavior and report a
higher degree of tax morale in the survey. As no sanctions are involved in the survey many
respondents might overstate their willingness to pay taxes or degree of honesty( see
Torgler and Schneider 2007a; 2007b; Torgler and Shaltegger 2006).2
On the other hand, it was further argued that the use of such a single question (single item
value) has the advantage of reducing problems of index construction complexity,
especially in regard to measurement procedure or low correlation between items (see
Torgler 2003; 2004; Alm and Torgler 2006; Torgler and Schneider 2007a). According to
Torgler and Schneider (2007a:450) “tax morale is a multi-dimensional concept that
requires a multi-item measurement tool and the likelihood of a multi-item index being
adversely affected by random errors will produce more reliable measures. However,
several previous studies have found consistent results using single-item survey
measurements and laboratory experiments”. Despite these criticisms our approach to
measuring tax morale is consistent with the previous studies in this area (Torgler 2003;
2004; Alm and Torgler2006; Torgler and Schneider 2007a).

Never Justifiable:
Cheating on
Taxes, 80.50%

Turkey

Romania

Netherlands

Great Britain

EU Mean

Germany

Finland

Poland

Sweden

Bulgaria

Norway

2

Spain

61.50%

56.93%

Italy

100.00%
80.00%
60.00%
40.00%
20.00%
0.00%
France

Tax Morale

Graph 2 Tax Morale in EU Countries(12 EU Countries and Turkey)

We should also indicate another disadvantage of working with survey data as argued by Alm and Torgler
(2006:237-238) that “we cannot control for such traditional factors as the audit probability (because this is
not known for each individual) and the fine rate (because this is identical for all individuals in a country)”.

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Graph 2 provides a comparison of tax morale levels of 12 EU countries with the same
method. It shows the frequency of response for “tax cheating is never justifiable” with
respect to the total respondents and the EU average value for scaled response. The
descriptive analysis reveals the percentage of individuals in each EU country stating that
„tax evasion is never justifiable‟ (i.e., those with the highest level of tax morale) and the
mean level of tax morale among EU countries. Turkey with 80.50% shows a higher
proportion of never justifiable response than that of EU average (57%). Italy‟s level of tax
morale was above EU average. The lowest level of tax morale is observed for France and
Norway.
In sum, the results for the magnitude of tax morale show that Italy and Turkey rank in the
highest as compared to other countries within their regions. Thus, this gives a task to
explain why tax morale is high in these two countries; what determines tax morale and are
there any similarities between these two countries in the determination of tax morale level.
Although two countries with very different cultures and a different history and politics, a
comparison of tax morale and compliance between Turkey and Italy as a member of
OECD constitutes a good experiment.
2 Determinants
After having discussed the magnitude of tax morale in EU countries, the question of the
determinants of tax morale in Turkey and in Italy arises.
2.1 Model and Variables
The empirical analysis in this paper focuses on tax morale which is influenced by a variety
of factors. In empirical analysis social, demographic and economic factors as well as
national pride or religiosity play a role in determining tax morale in a society. Also, “there
is the institutional arrangement in which the government works. Here, the extent of
democratic participation (possibilities) by taxpayers as well as the level of institutional and
political trust is decisive. Tax morale is driven by the acceptance of government
decisions.” (see Torgler and Shaltegger 2006:397). Our main model for predicting tax
morale in the study countries has the following structure:

TM

i





1

TRUSTi 



2

PRIDEi 



3

POLi 



3

HAPPYi 

 X 
k

k

i

1

where TM denotes the individual degree of tax morale in a respected country; Our key
independent variables TRUST denotes individual‟s trust in authority; PRIDE denotes pride
of individual; POL is individual‟s political and pro-democratic attitudes, HAPPY denotes
individual‟s wellbeing (happiness) and Xis a vector of variables whichdenotes numerous
socioeconomics and control variables such as age, gender, marital status, education,
awareness, employment and occupational status. Our choice of independent variables is in
line with the literature. Torgler and Shaltegger (2006) discuss the studies using the factors
to explain the determinants of tax morale in various countries.
The dependent variable in our study is Tax Morale (TMi) and the applied econometric
method is Ordered Probit models. The tax morale variable is scaled dependent variable and
hence the ordered probit models help to analyze the ranking information of this variable
(Torgler 2006). Following Cummings et al (2009) answers of “don‟t know” and missing
values were not coded and dropped from the sample. As the estimated equation has a nonlinear form only the sign of the coefficient can be directly interpreted. Calculating the
marginal effects is therefore a method to find the quantitative effect of independent
variable has on tax morale. The marginal effect indicates the change in the share of

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taxpayers (or the probability of) belonging to a specific tax morale level (i.e. 0,1,2,3) when
the independent variable increases by exactly one unit. We will present only the marginal
effects for the highest value - i.e. tax evasion is never justified- from the ordered probit
estimation.
Table 1 shows the frequency of response for “tax cheating is never justifiable” with respect
to the total respondents. Turkey shows a higher proportion of never justifiable response
than that of Italy. The Italian sample had the lowest percentage (61.50%) response for that
position but both countries had responses for the “never justifiable” position above sixty
percent.
The following hypothesis is going to be tested by using main variables:
Hypothesis 1. The more extensive the citizens‟ trust in the government, in the parliament
and the legal system (justice or the court), the higher the tax morale.
Hypothesis 2. The greater the citizens‟ national pride, the higher the tax morale.
Hypothesis 3. A stronger pro democratic attitude leads to higher tax morale.
Hypothesis 4. Tax morale increases with individual‟s wellbeing.
In addition to the main independent variables discussed above we also use additional
independent variables as controls to more fully explore what factors might determine tax
morale in the study countries. Each of these variables, the questions to be answered and
expected coefficient are discussed below:
1. Age (+) We will use age as a continuous variable and also treat age as a categorical
variable (three classes are formed in the survey: 18-29, 30-49, 50+ with 18-29 as the
reference group): Do older people have higher tax morale than younger?
2. Gender (+) (categorical variable: 1= male (the reference group), 2=otherwise): Do
gender differences affect the level of tax morale?
3. Marital status (+) [married (in the reference group), single, living together, divorced,
separated, widowed]: Do married people have different levels of tax morale than others?
4. Education (+/-)[continuous variable for higher educational level attained: 1= low (never
gone to the school), 10 = higher education)]: Do more educated people have higher tax
morale level than less educated people? Besides using formal education as a proxy of such
awareness, we also constructed a variable to measure awareness to see its effect on tax
morale (see Torgler and Shaltegger 2006). Awareness is a categorical variable and
measured by following question: People use different sources to learn what is going on in
their country and the world. For each of the following sources, please indicate whether you
used it last week or did not use it last week to obtain information: Daily newspaper?
(categorical variable: 1=yes, 2=no)
5. Occupation status (-) [full time employed (in the reference group), part time
employed, selfemployed,unemployed, housewife, student, retired, other]: Does the
occupation status of individual influence tax morale?
6. Economic class (-)[we used scale of incomes: 1=low income, 10=high income].: Do the
levels of tax morale vary with the level of tax payers‟ income?
7. Religiosity (+): Does the religion make any differences to the levels of tax morale?

Empirical results
We observe for WVS data that tax morale is lower in Italy than in Turkey. However this
purely descriptive analysis gives information about the raw effects and not the partial
effects. The observed differences between Italy and Turkey might be explained in terms of
differences in socio-economic, political and socio-demographic factors. Thus multiple

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regressions in the next section help us to separate the effects of several socio-economic and
socio-demographic factors from a possible culture difference. We estimate separately the
determinants of Tax Morale at the individual level for Italy and Turkey.3
1 Empirical results on tax morale in Turkey
Table 2 presents the estimation results for Turkey, focusing only on ordered probit
models.4. In a next step we test Hypotheses 1–4. We use three trust variables, (i.e Trust in
Legal System, Trust in Government and Trust in Parliament), to check the robustness of
the trust variables. These variables allow us to analyze trust at the constitutional level (e.g.,
trust in the legal system/justice), thereby focusing on how the relationship between the
state and its citizens is established; they also allow us to analyze trust more closely at the
current politico-economic level (e.g., trust in the parliament and government) (see Alm and
Torgler 2006). Trust in Legal System/Justice and Trust in Government are found highly
significant. However Trust in Parliament in some estimations is not significant while in
some estimations it is significant but with a negative coefficient implying that for those
who does not have confidence in parliament they have higher tax morale.
Notes: Dependent variable: tax morale on a four-point scale. In the reference group: fulltime employed, married, read newspaper, male, lower age group (18-29), Marg.: marginal
effect. The marginal effect is calculated at the highest TAX MORALE score. Significance
levels are: *0.05 &lt; p &lt; 0.10, **0.01 &lt; p &lt; 0.05, ***p &lt; 0.01 . dy/dx is for discrete change
of dummy variable from 0 to 1 and dy/dx for factor levels is the discrete change from the
base level. In this table and following tables, variables Happiness, Trust Justice, Trust
Parliament, Trust Government, Religious Service Attendance, Pride are rescaled in order to
interpret the result straightforward. For example, in the survey, pride is measured on a 4
point scale i.e 1 for very proud 4 for not all. This was recoded into 4 for very proud and 1
for not all proud.
In all estimations both trust variables have a significantly positive effect on tax morale with
marginal effects varying between 2.5 and 4.7 (Trust in Government) and between 2.6 and
3.6 (Trust in Justice/Legal System) percentage points. Therefore, our study finds support
for the notion that trust matters for tax morale in Turkey. An increase in the trust in
government (trust in legal system) scale by one unit increases the share of subjects
indicating the highest tax morale by 2.5 to 4.7 (2.6 to 3.6) percentage points. As trust is
highly and positively correlated with tax morale, Hypothesis 1 cannot be rejected.
Specifications show the relative importance of Pride in tax morale determination. In five
estimations we have significant coefficient on this variable. As can be seen from the tables,
there is a positive correlation between Pride and tax morale. The coefficient is always
positive and the marginal effects indicate that an increase in Pride by one point raises the
share of persons indicating the highest tax morale value by 3 to 4 percentage points. Thus,
the results show that we cannot reject our main hypothesis.
The results in Tables also indicate that Hypothesis 3 is rejected. We observe a significant
correlation between a prodemocracy attitude and tax morale. As Tables show, a one-point
increase in the prodemocracy index reduces the share of persons with the highest tax
morale by 2 percentage points, meaning that a higher degree of democracy leads to lower
tax morale for the reference group. However, calculating the marginal effects at the lowest
tax morale level (i.e, 0 scale) we observe that an increase in the democracy index by one
3

The empirical results on the tax morale can be given on request from the author. See also Tekeli (2011).
After the first estimation we have not included variables “trust in the government” and “trust in the
Parliament” in the same model because there is a strong correlation between these two variables (r=0.60) that
makes it impossible to clearly separate the effects of the two variables if they were included in one model.
4

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unit reduces the probability of stating that tax evasion is always justified to less than one
percentage point.
Political attitude was tested by the variable ideology, the self-placement in a left-right
ideological scale from 1 (left) to 10 (right). It has positive sign but insignificant effect on
tax morale. We did not find any evidence to support the view that individual‟s political
alignments affect his/her behavior toward taxes.
To get a broader view and to consider the fact that a considerable number of citizens have
a low living standard (as argued by Torgler 2004), we also include the variable happiness.
In all specifications this variable does not significantly affect tax morale. The happiness
variablehas interestingly, negative marginal effects but it is insignificant to derive any
conclusion from it. Thus our hypothesis 4 cannot be proved statistically.
As argued by Torgler (2004:249) it was expected that “if the financial situation of a
household is bad, the tax payments might be seen as a hard restriction of their possibility
set, which might reduce tax honesty”. In line with this argument we included income
variable to test whether individuals in lower income classes are more likely to engage in
criminal activities due to their lower opportunity costs, or not. However, in all estimations
income variable did not have significant coefficient.
We include different employment status such as part time employed, self-employed,
retired, and unemployed. In the tax compliance literature, it was argued that self-employed
persons have higher compliance costs than employed (e.g., Lewis, 1982). Therefore,
Torgler and Schneider (2007b:452) argued that “taxes are more visible for the selfemployed, who have a higher opportunity to evade or avoid them. Moreover, pensions of
retired individuals are incomes provided or at least heavily regulated by the state, so
transparency is higher and the control better”. However, we did not find significant
coefficient on self-employed. On the other hand we have significant coefficients on
unemployed and housewife. An increase in Housewife by one point reduces the share of
persons indicating the highest tax morale value by 8 percentage points. Our results indicate
that the proportion of unemployed who report the highest tax morale is approximately 10
percentage points lower than the one of full-time employees. An increase in unemployment
by one point reduces the share of persons indicating the highest tax morale value by almost
10 percentage points. Unemployed individuals might have a higher incentive to act in the
shadow economy, which might influence their attitude regarding tax evasion.
Table presents evidence regarding the variable religiosity, measured as frequency of
Mosque attendance. We first included the variable measured as frequency of Mosque
attendance. The result in the first specification indicates that an increase in the religious
attendance increases the tax morale around 2 percentage points. To make a comparison
between Italy and Turkey we included the variable religiosity, measured as Religious
person on a three point scale (i.e 1 for religious 3 for atheist). Robust across all 8
specifications is the negative correlation between Tax Morale and Religiosity variables.
We would expect that religiosity might influence people‟s habits, and might make
individuals reluctant to engage in tax evasion. Our findings are consistent with those of
Alm and Torgler (2006) and Torgler and Murphy (2004), who find that a higher religiosity
is correlated with a higher tax morale. Our results indicate that an increase in religiosity
increases the tax morale between 8 and 10 percentage points.
McGee (1998) reports that the coefficient on Muslim is mostly not significant and also
argues that Muslims are not always obligated to pay all taxes. Torgler (2006:94) points that
“If the government engages in activities that are not legitimated, tax evasion might not be
immoral (for a list of possible immoral state activities, see Yusuf, 1971). It would not be

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immoral for a Muslim not to pay indirect taxes, to avoid paying tariffs, to evade income
taxes, or not to comply with a law that causes prices to rise”. Our results on religiosity in
Turkey do not seem to support McGee‟s (2006:23) argument that “the Muslim view
toward tax evasion seemingly falls under category three that evasion is sometimes ethical”.
The result rather seems to fit under McGee‟s first category that “tax evasion is never
ethical”.
The positive coefficients on education and negative coefficients on gender (woman)
deserve special attention. In the models we have run, women do not seem to have stronger
tax morale than men but this argument is not proved statistically. Our results show that
education does not have any significant effects.5 However, we found that if the reading
daily newspaper rate decreases tax morale increases by 8 to 10 percentage points. This
result indicates that unawareness has significantly positive effect on tax morale. This result
does not change even if we drop education variable from the estimation. It seems that
reading newspaper makes individual‟s behavior somehow deteriorated. We cannot say that
individuals‟ constraints by their social networks affect tax morale. In tables our results
indicate that married people having higher tax morale than singles is not supported by the
evidence from Turkey. Actually marital status did not have any effect on tax morale in all
estimations. Also, older individuals (third age group in the estimation) tend to exhibit
higher tax morale, but the coefficients on age group are not statistically significant in all
estimations.
2 Empirical results on tax morale in Italy
Next we present the results of ordered probit models in Italy6. In Table 3 Trust in
Parliament and Trust in Government are found insignificant. In all estimations Trust in
Parliament and Trust in Government did not have significant effects on tax morale.
However Trust in Legal System/Justice was found significant in all estimations with
positive coefficient implying that for those who does have confidence in Legal
System/Justice they have higher tax morale. An increase in trust in Legal System/Justice
scale by one unit increases the share of subjects indicating the highest tax morale by 4 to 5
percentage points. Therefore, our study finds support for the notion that trust matters for
tax morale in Italy. As trust is highly and positively correlated with tax morale, Hypothesis
1 cannot be rejected for Italian case.
Specification (1-5) shows the relative importance of Pride in tax morale determination.
Only in one specification we did not have significant coefficient on this variable. We find
that there is a positive correlation between Pride and tax morale. The marginal effects
indicate that an increase in Pride by one point raises the share of persons indicating the
highest tax morale value by 3 to 5 percentage points. Thus, the results show that we cannot
reject our main hypothesis.
The results in Table 3 also indicate that Hypothesis 3 is rejected. We do not observe a
significant correlation between a prodemocracy attitude and tax morale. Thus we dropped
this variable from the models for Italy. Political attitude was tested by the variable
ideology, the self-placement in a left-right ideological scale from 1 (left) to 10 (right). We
did not find any evidence to support the view that individual‟s political alignments affect
his/her behavior toward taxes in Italy.7
In all specifications in preliminary regressions the variable happiness does not
significantly affect tax morale. The happiness variable has positive marginal effects but it
5

The result on education did not change even if we used education as a continuous variable.
See footnote 5, as r=0.67.
7
It has negative sign but insignificant effect on tax morale except for the preliminary estimates.
6

10

�International Conference on Economic and Social Studies (ICESoS’13), 10-11 May, 2013, Sarajevo

is insignificant to derive any conclusion from it. Thus our hypothesis 4 cannot be proved
statistically. We also dropped this variable from various estimations. As previously stated,
we included income variable to test whether individuals in lower income classes are more
likely to engage in criminal activities due to their lower opportunity costs, or not. As in the
Turkish case, income variable did not have significant coefficient.
As argued above we include different employment status to see if it affects tax morale.
Robust to all estimations is significant coefficient on self-employed. Our results indicate
that the proportion of self-employed who reports the highest tax morale is approximately
15 percentage points lower than the one of full-time employees. The result indicates that an
increase in self-employee by one point reduces the share of persons indicating the highest
tax morale value by 14 to 18 percentage points. The results are in line with the
argumentation that higher compliance costs reduce tax morale.
Notes: See also notes in Tables for Turkey. We also included both religiosity variables in
separate estimations but the results did not change very much. Also with age and age group
separate regressions were run but the results did not change.
Table presents evidence regarding the variable religiosity, we also included the variable
measured as frequency of Religious attendance it was statistically insignificant but it has
positive sign indicating that religious attendance increases the level of tax morale. In
addition, to make a comparison between Italy and Turkey, we included the variable
religiosity, measured as Religious person on a 3 point scale (i.e. 1 for religious 3 for
atheist). Robust across all specifications is the insignificant correlation between Tax
Morale and Religiosity variables. As argued above we would expect that religiosity might
influence people‟s habits, and might make individuals reluctant to engage in tax evasion.
However our findings for Italy are not consistent with those of Alm and Torgler (2006) and
Torgler and Murphy (2004), who fined that a higher religiosity is correlated with higher
tax morale.
We found the positive coefficients on education and gender (woman). In the models we
have run, women seem to have stronger tax morale than men in Italy. Robust across all 5
specifications is the significant correlation between Tax Morale and Education variables.
Our results show that education has significant effects. We found that if the individual‟s
education level increases tax morale increases by 2 to 3 percentage points. However, we
found that awareness does not have significant effect on tax morale.8
Also, older individuals (third age group in the estimations) tend to exhibit higher tax
morale than younger age groups; the coefficients on higher age group are statistically
significant in all estimations9. The proportion of people aged over 50 who report the
highest tax morale is approximately 18 percentage points higher than the 18-29 year old
reference group (lower age category). The result indicates that an increase in old age
category by one point increase the share of persons indicating the highest tax morale value
by 14 to 18 percentage points. The proportion of people of the age 30-49 who report the
highest level of tax morale is around 12 percentage points higher than for the 18-29
reference groups. In fact we can see from the tables that the marginal effects increase with
an increase in age. For example 50+ age group reports the highest tax morale higher than
the other age groups.
We can state that individuals‟ constraints by their social networks affect tax morale. In
tables our results indicate that married people having higher tax morale than singles
8
9

This result does not change even if we drop education variable from the preliminary regressions we run.
The result on age did not change even if we used age as a continuous variable.

11

�International Conference on Economic and Social Studies (ICESoS’13), 10-11 May, 2013, Sarajevo

supported by the evidence from Italy. Actually, marital status did have effect on tax morale
in 2 estimations. The proportion of singles who report the highest tax morale is 8
percentage points lower than the married people. The results also indicate that the
proportion of the separated people who report the highest level of tax morale is 18 to 20
percentage points lower than the one of the married people.
Conclusions
It has been argued in the tax compliance literature that audit rate, tax fine and tax rates
have effects on tax payers‟ decision to comply. However over last decades researchers
have argued that individual‟s tax compliance behavior cannot be explained by traditional
economic analysis considering entirely deterrence components of tax compliance. Tax
morale has been used as a residual while searching the reasons why people pay taxes.
Several studies argued that tax morale, or „„the intrinsic motivation to pay taxes‟‟, might
help to explain the puzzle of why so many individuals pay their taxes. Instead of taking tax
morale as a black box or a residuum, a number of studies have examined the determinants
of tax morale, and what shapes tax morale or has it being changed over the time in a
specific country and/or across the countries over the world. Many social, institutional and
economic factors have been found to explain the notion of tax morale, or intrinsic
motivation to pay taxes.
We attempt to bring together the numerous insights from the earlier works on tax morale
by examining many social, economic and institutional factors in Turkey and in Italy. By
analyzing tax morale as a dependent variable, our findings give further evidence in tax
morale literature. We report a large number of alternative specifications in the tables, and
all specifications show the marginal effects of the explanatory variables on the highest
value of tax morale (i.e tax cheating is never justified). We found that there are not many
similarities between Turkey and Italy in determination of tax morale.
While variables pride (+), trust (trust in justice system) (+), marital status [separated (-),
singles (-)], self-employment (-), education (+), gender (women) (+) and age (+) are
significant to explain tax morale level in Italy, trust (trust in the government and trust in
legal system) (+), pride (+), religiosity (+), the prodemocracy (-), unemployment (-), house
wife (-) and reading daily newspaper rate (-) are found significant in Turkey.
The effects of trust on tax morale were analyzed on two different levels: (i) at the
constitutional level (trust in the legal system, or in the court/justice system) and (ii) at the
current politico-economic level (trust in the government and trust in parliament). We agree
with the statement that not only trust in the government might have an effect on tax morale
(Turkey), but also trust in the court, or the legal system (Italy), and hence the way the
relationship between the state and its citizens is established. Also our findings indicate that
older individuals tend to exhibit higher tax morale. In line with the previous findings in the
literature pride has positive effect on tax morale level in the study countries. The results on
religion, indicates that while tax cheating is immoral for Religious individuals in Turkey,
we cannot make the same conclusion for the religious individuals in Italy.
References
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and Europe”, Journal of Economic Psychology, 27:224-246.

12

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Alm, J., J. Martinez-Vazquez &amp; Torgler B. (2006) “Russian Attitudes Toward Paying
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Policy, 38 (No. 1): 153-167.
Schneider, F. (2005), “Shadow Economies Around the World: What do we Really
Know?”, European Journal of Political Economy, 21(3): 598–642.

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Schneider, F., Buehn, A. &amp; Montenegro, CE. (2010), “Shadow Economies all over the
World: New Estimates for 162 Countries from 1999 to 2007 Submitted to the
EPCS 2010”, Izmir, Turkey
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countries: What are the driving forces?, The 2013 Meetng of The European
Public Choice Society Zurich Switzerland, 3-7 April.
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Torgler, B (2004),“Tax Morale in Asian Countries”, Journal of Asian Economics,15:237266.
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Torgler, B., (2006), “The Importance of Faith: Tax Morale and Religiosity”, Journal of
Economic Behavior &amp; Organization, 61: 81-109.
Torgler, B., &amp; Murphy, K (2004), “Tax Morale in Australia: What Factors Shape It and
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Institutional Quality: A Panel Analysis”, QUT School of Economics and Finance
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Torgler, B &amp; Schneider, F (2009), “The Impact of Tax Morale and Institutional Quality on
The Shadow Economy”, Journal of Economic Psychology 30 (2009) 228–245

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Torgler, B, Schneider, F &amp; Schaltegger, C A. (2010), “Local Autonomy, Tax Morale, And
The Shadow Economy”, Public Choice 144: 293-321.
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15

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                <text>In this paper we analyze the tax morale in Turkey and Italy, using data from  the fifth wave of World Values Surveys. Using Survey data for comparative  analysis we can see the differences in several factors affecting Tax Morale  between Italy (mainly composed of Catholics) and Turkey (mainly  composed of Muslims). The results for the magnitude of tax morale show  that Italy and Turkey rank in the highest as compared to other countries  within their regions. Thus, this gives a task to explain why tax morale is  very high in these two countries which differ in cultures and politics; what  determines tax morale and are there any similarities between these two  countries in the determination of tax morale level. We empirically test  what shapes tax morale by using Ordered Probit model. We have followed  the literature but used additional variables to see what determines the  notion “intrinsic motivation to pay taxes i.e. tax morale”. Most of our  findings are in line with the earlier works in tax morale literature. We agree  with the statement that not only trust in the government might have an  effect on tax morale (Turkey), but also trust in the court, or the legal  system (Italy), and hence the way the relationship between the state and  its citizens is established. Also our findings indicate that older individuals  tend to exhibit higher tax morale. In line with the previous findings in the  literature pride has positive effect on tax morale level in the study  countries. The results on religion, indicates that while tax cheating is  immoral for Religious individuals in Turkey, we cannot make the same  conclusion for the religious individuals in Italy.  Keywords: Tax morale; Tax compliance.  JEL classification: H26; H30</text>
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                    <text>International Conference on Economic and Social Studies, 10-11 May, 2013, Sarajevo

Tax Policy within Fiscal Policies: Evaluation of Tax
Measures Taken Against Economic Crises
Recep Tekeli
Adnan Menderes University, Aydın, Turkey
rtekeli@adu.edu.tr

Hakan Arslaner
Adnan Menderes University, Aydın, Turkey
hakanarslaner@yahoo.com

Tarık Ilıman
Adnan Menderes University, Aydın, Turkey
tarik.iliman@adu.edu.tr
Through the history the countries have been examined by economic crises all over
the world. After the Great Depression of 1929, the beginning of which is named as
‘’ Black Tuesday ‘’, we again experienced a new world-wide crisis that broke out in
the United States in 2008. When it comes to explaining the economic crisis, it is
simply a sudden and unexpected downturn in the economy of a country.
Primarily, The United States, and then the all countries in the world have been
severely influenced by the negative effects of this crisis. With the Great Depression
in the United States, it was obvious that ‘’ Market Economy ‘’ that maintained by
classical economists couldn’t be competent by itself alone. In that period,
Keynesian economists which emphasized the ’’ State Intervention’’ emerged
against their classical counterparts. According to Keynesians, ‘’ State Intervention ‘’
is so essential in depression eras. Governments can interfere with ongoing period
of depression in two different ways. These are monetary policies and fiscal policies.
If a decisive struggle and respond to the crisis are desired, both of these policies
must be enforced simultaneously. On the other hand, governments are more
efficient to use fiscal policies in comparison with monetary policies, in an effort to
control the economy at that cyclical period. However, it is known that fiscal policies
have their own instruments which may be listed as tax policy, spending policy and
budget policy. Tax policy is the most effective way of all fiscal policies in stages of
recession. As one of the main purposes of fiscal policy is to sustain economic
stability, tax policies are often used to achieve the mentioned purpose.
Hence, this study focuses on the tax measures taken by the governments to deal
with the economic crises by giving inner examination of some countries severely hit
by the recent global crisis. Overall, the study will elaborate the significance and the
impact level of tax policies in crises periods.
Keywords: Economic Crisis, Cyclical periods, Fiscal Policy, Tax Policy.

244

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                <text>Through the history the countries have been examined by economic crises all over  the world. After the Great Depression of 1929, the beginning of which is named as  ‘’ Black Tuesday ‘’, we again experienced a new world-wide crisis that broke out in  the United States in 2008. When it comes to explaining the economic crisis, it is  simply a sudden and unexpected downturn in the economy of a country.  Primarily, The United States, and then the all countries in the world have been  severely influenced by the negative effects of this crisis. With the Great Depression  in the United States, it was obvious that ‘’ Market Economy ‘’ that maintained by  classical economists couldn’t be competent by itself alone. In that period,  Keynesian economists which emphasized the ’’ State Intervention’’ emerged  against their classical counterparts. According to Keynesians, ‘’ State Intervention ‘’  is so essential in depression eras. Governments can interfere with ongoing period  of depression in two different ways. These are monetary policies and fiscal policies.  If a decisive struggle and respond to the crisis are desired, both of these policies  must be enforced simultaneously. On the other hand, governments are more  efficient to use fiscal policies in comparison with monetary policies, in an effort to  control the economy at that cyclical period. However, it is known that fiscal policies  have their own instruments which may be listed as tax policy, spending policy and  budget policy. Tax policy is the most effective way of all fiscal policies in stages of  recession. As one of the main purposes of fiscal policy is to sustain economic  stability, tax policies are often used to achieve the mentioned purpose.  Hence, this study focuses on the tax measures taken by the governments to deal  with the economic crises by giving inner examination of some countries severely hit  by the recent global crisis. Overall, the study will elaborate the significance and the  impact level of tax policies in crises periods.  Keywords: Economic Crisis, Cyclical periods, Fiscal Policy, Tax Policy.</text>
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                    <text>International Conference on Economic and Social Studies, 10-11 May, 2013, Sarajevo

Financial Crises and Derivatives Market: An Application
of Factor Analysis
Bilgehan Tekin
Çankırı Karatekin University, Çankırı, Turkey
bilgehantn@hotmail.com
Yusuf Gör
Çankırı Karatekin University, Çankırı, Turkey
yusufgor23@gmail.com
Countries that come even closer with each other every passing day, both
economically and socially, went through and have been going through
various financial crises in the past and present centuries. The close
relationships of countries cause a crisis suffered by one country to expand
within a short time and infect other countries.
With the collapse of the Bretton Woods system and the transition from
fixed rate policy to floating rate policy, the risk involved in inflation and
interest rates increased, and derivatives were brought forward as one of
the protection methods against the increasing risk ratio. The derivatives
markets, which expanded by means of structured products used in 1990s,
reached huge sizes, leading to a more risky financial structure. Although
protection against risks is the main objective, derivatives offer speculative
profit and arbitrage opportunity to their users. Intensely used for
investment purposes, derivatives create bubble economies when they
reach high volumes and influence crises by expanding the financial risk
environment.
The purpose of this study is to analyze financial crises, the effective factors
on the emergence of crises and the derivatives market, and to reveal their
inter-relations. In this study, firstly, the financial crises suffered throughout
history will be mentioned, and, then, the financial crises that broke out
since the periods when derivatives were started to be used will be
addressed. To this end, focus will be on derivatives risks and the five most
significant financial crises experienced in late history will be emphasized by
analyzing the trading volumes realized in the derivatives market during the
crisis periods; the 2008 global financial crisis, the 2001 economic crisis in
Turkey, the 2001 crisis in Argentine, the 1997 East Asian Financial crisis and
the 1994 economic crisis in Mexico. Data will be gathered from online

63

�International Conference on Economic and Social Studies, 10-11 May, 2013, Sarajevo

reports of the related countries, public records, Central Banks, IMF and
World Bank reports and previous studies carried out on the same subjects.
The study will start with a literature review that involves examining the
financial crises and identifying the variables accepted as the leading
indicators of these crises. Then these variables will be converted into less
number of groups of variables, by using factor analysis which is a
quantitative data reduction method. This new leading indicator factor
groups will be compared for each crisis, and a model will be suggested on
the basis of possible differences and similarities. Finally, focus will be on
how derivative instruments affect crises and their effects on the created
model.
This study aims at uncovering similar or different aspects of leading
indicators during each crisis period, by examining the five most significant
financial crises suffered recently, and determining whether derivatives are
a preventive or triggering factor on the same crises.
Keywords: Financial Crisis, Bretton Woods System, Leading Indicators,
Derivatives, Factor Analysis.

64

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                <text>Countries that come even closer with each other every passing day, both  economically and socially, went through and have been going through  various financial crises in the past and present centuries. The close  relationships of countries cause a crisis suffered by one country to expand  within a short time and infect other countries.  With the collapse of the Bretton Woods system and the transition from  fixed rate policy to floating rate policy, the risk involved in inflation and  interest rates increased, and derivatives were brought forward as one of  the protection methods against the increasing risk ratio. The derivatives  markets, which expanded by means of structured products used in 1990s,  reached huge sizes, leading to a more risky financial structure. Although  protection against risks is the main objective, derivatives offer speculative  profit and arbitrage opportunity to their users. Intensely used for  investment purposes, derivatives create bubble economies when they  reach high volumes and influence crises by expanding the financial risk  environment.  The purpose of this study is to analyze financial crises, the effective factors  on the emergence of crises and the derivatives market, and to reveal their  inter-relations. In this study, firstly, the financial crises suffered throughout  history will be mentioned, and, then, the financial crises that broke out  since the periods when derivatives were started to be used will be  addressed. To this end, focus will be on derivatives risks and the five most  significant financial crises experienced in late history will be emphasized by  analyzing the trading volumes realized in the derivatives market during the  crisis periods; the 2008 global financial crisis, the 2001 economic crisis in  Turkey, the 2001 crisis in Argentine, the 1997 East Asian Financial crisis and  the 1994 economic crisis in Mexico. Data will be gathered from online reports of the related countries, public records, Central Banks, IMF and  World Bank reports and previous studies carried out on the same subjects.  The study will start with a literature review that involves examining the  financial crises and identifying the variables accepted as the leading  indicators of these crises. Then these variables will be converted into less  number of groups of variables, by using factor analysis which is a  quantitative data reduction method. This new leading indicator factor  groups will be compared for each crisis, and a model will be suggested on  the basis of possible differences and similarities. Finally, focus will be on  how derivative instruments affect crises and their effects on the created  model.  This study aims at uncovering similar or different aspects of leading  indicators during each crisis period, by examining the five most significant  financial crises suffered recently, and determining whether derivatives are  a preventive or triggering factor on the same crises.  Keywords: Financial Crisis, Bretton Woods System, Leading Indicators,  Derivatives, Factor Analysis.</text>
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                    <text>International Conference on Economic and Social Studies, 10-11 May, 2013, Sarajevo

The Use of Statistics in the Agricultural Sector in the
Province of Kutahya
Süleyman Tiryaki
Kütahya Vocational School of Social Sciences, Kütahya, Turkey
suleyman.tiryaki@dpu.edu.tr
Murat Kurt
Kütahya Vocational School of Social Sciences, Kütahya, Turkey
murat.kurt@dpu.edu.tr
Kenan Alp
Balıkesir University Manyas Vocational School, Balıkesir, Turkey
kenanalp83@gmail.com
Aydın Kahraman
Balıkesir University Havran Vocational School, Balıkesir, Turkey
aydin1975@gmail.com
Turkey has a structure that is growing and developing with each passing day in
the agricultural sector. Because consciousness occurred that agriculture cannot
be done with daily approaches, but with strategic planning and approaches.
Turkey is in the 7th range the list of world agricultural economies and the 1st in
Europe range in terms of the size of the agricultural economy. Kütahya is one
of the cities that affect the results significantly. Kütahya has been one of the
major centers in the agricultural field from past to present. The world's first
stock exchange was established in the town of Çavdarhisar that has 4900
hectares of agricultural area. The reason for this is the period between 0 and
1000, agricultural and livestock is being done widely in this area.
A questionnaire is prepared to determine whether the statistics, which is very
important nowadays, is used enough or not in Kütahya. The questionnaire sent
to 35 companies via fax, e-mail and personally, by who are working in
agricultural sector. 22 of these companies filled out our questionnaire. The
statistics using level and R&amp;D activities were asked to the companies with 8
items in this questionnaire. The obtained data were entered to the packaged
software and then analyzed with these data. The results of this analysis are
interpreted. The companies believe that the use of statistics is important for
developing but important part of the companies has not recorded the statistics
of their companies till now. Also they do not follow the TÜİK istatistics
published by Ministry of Agriculture.
Keywords: Statistics, Research &amp; Development (R&amp;D), Agriculture.

263

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KURT, Murat
ALP, Kenan
KAHRAMAN, Aydin</text>
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                <text>Turkey has a structure that is growing and developing with each passing day in  the agricultural sector. Because consciousness occurred that agriculture cannot  be done with daily approaches, but with strategic planning and approaches.  Turkey is in the 7th range the list of world agricultural economies and the 1st in  Europe range in terms of the size of the agricultural economy. Kütahya is one  of the cities that affect the results significantly. Kütahya has been one of the  major centers in the agricultural field from past to present. The world's first  stock exchange was established in the town of Çavdarhisar that has 4900  hectares of agricultural area. The reason for this is the period between 0 and  1000, agricultural and livestock is being done widely in this area.  A questionnaire is prepared to determine whether the statistics, which is very  important nowadays, is used enough or not in Kütahya. The questionnaire sent  to 35 companies via fax, e-mail and personally, by who are working in  agricultural sector. 22 of these companies filled out our questionnaire. The  statistics using level and R&amp;D activities were asked to the companies with 8  items in this questionnaire. The obtained data were entered to the packaged  software and then analyzed with these data. The results of this analysis are  interpreted. The companies believe that the use of statistics is important for  developing but important part of the companies has not recorded the statistics  of their companies till now. Also they do not follow the TÜİK istatistics  published by Ministry of Agriculture.  Keywords: Statistics, Research &amp; Development (R&amp;D), Agriculture.</text>
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                    <text>International Conference on Economic and Social Studies, 10-11 May, 2013, Sarajevo

Europe’s Energy Security and Caspian Oil and Natural

Gas

Ahmet Tolga Türker
İstanbul Arel University, İstanbul, Turkey
atturker@arel.edu.tr
For the countries in the Caspian region, whether they have been endowed with
large resources of oil and natural gas or not, the energy politics and energy
security has been at the heart of their efforts to build sovereign and
prosperous states. To this end, oil and gas producing countries in the region
have established arrangements governing the exploration and transportation
of their resources to world markets as a central element of their foreign
policies, whereas consumer countries carefully crafted their levels of
dependence on energy-endowed powers since it is vitally important in
determining their ability to formulate their domestic and foreign policies
independently. For Europe, on the other hand, the discovery of the importance
of energy security has been more recent, and mainly linked to the increasingly
assertive policies that the Russian government and its monopolistic subsidiary,
Gazprom, have adopted over the past years. As the European Union countries
have begun to realize their problem and look for ways to diversify its supply of
energy, the potential role of the Caspian region has inevitably emerged on the
agenda. However, member countries seem to pursue their own energy policy,
which only decrease the overall security of the Union and limit the EU’s foreign
policy options. Apart from this observation, this project explores several
aspects of European energy security particularly its dependence on Russia and
the role of Caspian states as a source of alterative supply and argue that
European countries must establish a European level energy strategy.
Accordingly this study will unfold in four sections. First section will review
Europe’s energy vulnerability along with the similarities between European
and Caspian states in terms of energy politics. Second section will provide an
analysis of emerging Russian energy diplomacy and the role of Gazprom in the
light of recent developments. Third section will put forward the Caspian and
the Black Sea as a future hub of energy for Europe and will discuss the role and
importance of Nabucco and Trans-Caspian pipelines as the two most important
infrastructure projects. Final section will critically review the EU’s approach to
energy security and discuss the need to develop a more cohesive EU approach
towards Caspian countries as well as issues of energy security. Even though
certain individual decisions can be made by member states alone, these
decisions should be made in accordance with the greater strategy goals set by
the European Union.
Keywords: European Union, Caspian Sea, Energy, Security.

20

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                    <text>International Conference on EconomicandSocialStudies (ICESoS’13), 10-11 May, 2013, Sarajevo

Europe’s Energy Security and Caspian Oil and Natural Gas
AhmetTolgaTürker
İstanbul Arel University, İstanbul, Turkey
atturker@arel.edu.tr
Abstract
For the countries in the Caspian region, whether they have been endowed with large
resources of oil and natural gas or not, the energy politics and energy security has been
at the heart of their efforts to build sovereign and prosperous states. To this end, oil
and gas producing countries in the region have established arrangements governing
the exploration and transportation of their resources to world markets as a central
element of their foreign policies, whereas consumer countries carefully crafted their
levels of dependence on energy-endowed powers since it is vitally important in
determining their ability to formulate their domestic and foreign policies
independently. For Europe, on the other hand, the discovery of the importance of
energy security has been more recent, and mainly linked to the increasingly assertive
policies that the Russian government and its monopolistic subsidiary, Gazprom, have
adopted over the past years. As the European Union countries have begun to realize
their problem and look for ways to diversify its supply of energy, the potential role of
the Caspian region has inevitably emerged on the agenda. However, member countries
seem to pursue their own energy policy, which only decrease the overall security of
the Union and limit the EU’s foreign policy options. Apart from this observation, this
project explores several aspects of European energy security particularly its
dependence on Russia and the role of Caspian states as a source of alterative supply
and argue that European countries must establish a European level energy strategy.
Accordingly, this study will unfold in four sections. First section will discuss the
paradox of European energy dependency on Russia given that the EU has three and
half times as many people, spends seven times as much on its military, and has a GDP
fifteen times larger than Russia review Europe’s energy vulnerability along with the
similarities between European and Caspian states in terms of energy politics. Second
section will review Europe’s energy vulnerability along with the similarities between
European and Caspian states in terms of energy politics. Third section will examine
the policy alternatives for the EU in order to gain greater cohesion regarding their
external energy policy and upper hand in dealing with Russia. Overall the EU must
critically review its approach to energy security and look for ways to develop a more
cohesive EU approach towards Caspian countries as well as issues of energy security.
Even though certain individual decisions can be made by member states alone, these
decisions should be made in accordance with the greater strategy goals set by the
European Union.
Keywords: European Union, Caspian Sea, Energy Security, Oil, Natural Gas

Introduction
Up until the early 1990s, due to relatively low prices, energy issues did not receive much
attention from the policymakers and the scholars of political science. However two events
have changed the outlook of global energy politics. First, the Gulf War alerted
policymakers when a significant portion of Middle Eastern energy supplies faced the
threats of an Iraqi invasion of Kuwait. Second, the collapse of the Soviet Union was a

19

�International Conference on EconomicandSocialStudies (ICESoS’13), 10-11 May, 2013, Sarajevo

welcome development as it suddenly provided the possibility of an alternative source of
energy supply to the world.
By the twenty-first century energy studies consolidated its position as high priority when
oil and gas prices started to rise in 1999. Over the last decade global oil prices have
increased by more than five times from 20USD per barrel in August 1999 to 116USD per
barrel in March 2013 (Indexmundi, 2013). The world is facing serious economic security
challenges, predominantly determined by the growing population and growing need of
resources in developing countries. The world’s population will increase to 8 billion by
2030 from the current population of 6.5 billion, and 95 percent of that growth will be in
developing countries. If this population growth is supported by growing economic
potential and standard of living, more and more resources, and in particular energy
resources, will be required. The International Energy Agency predicts a 50% increase in
energy demand by 2030, even if efficiency is increased. About 70 percent of this increase
is going to be in developing countries, and those countries are relying primarily on fossil
fuels because of the very significant cost advantage (IEA, 2010). These numbers indicate
the inevitability of increased pressure on the European economy.
Today, it has become even clearer that energy security has proved to be a significant
source of power in foreign policymaking. Accordingly, this paper argues that Europe’s
high and rising energy demand is highlighting the security problems associated with its
dependence on especially Russian gas supplies, and the need for diversifying European
energy supply. The EU’s vulnerability in this regard is the result of dealing bilaterally with
Russia on energy issues and thus granting Russia the capacity to have the upper hand
among EU states. Therefore, in order to overcome its energy dependence on Russia, the
EU needs to establish a European-level external energy strategy, become more cohesive
regarding its external energy policy. In this regard, the strategic location of the Caucasus
and Central Asia make it an area of growing importance in the contemporary security
environment, particularly given regional instability and the potential threat to Western
economic interests because of its energy resources and transport infrastructure. The
Caspian region provides the most accessible alternative, provided that the region’s
resources are transported through the Caucasian corridor, which also requires significant
infrastructure investments (Sokolsky&amp;Charlick-Pailey, 1999, p. 10). A more formal
framework between the EU and the Caspian region states should be established to
streamline EU policies on energy (Dağdemir, 2007, p. 249). European states must realize
that working together on issues of energy security, especially when dealing with Russia,
will be mutually beneficial in the long term.
The rest of this paper is organized in following sections: First section will discuss the
paradox of European energy dependency on Russia given that the EU has three and half
times as many people, spends seven times as much on its military, and has a GDP fifteen
times larger than Russia review Europe’s energy vulnerability along with the similarities
between European and Caspian states in terms of energy politics. Second section will
review Europe’s energy vulnerability along with the similarities between European and
Caspian states in terms of energy politics. Third section will examine the policy
alternatives for the EU in order to gain greater cohesion regarding their external energy
policy and upper hand in dealing with Russia.

20

�International Conference on EconomicandSocialStudies (ICESoS’13), 10-11 May, 2013, Sarajevo

The Paradox of European Energy Policy
Recent developments in Europe and Central Eurasia, as well as growing tensions between
the EU and Russia over energy issues, have brought new opportunities for alternative
suppliers of energy and transit corridors (Baskan&amp;Bac, 2011, p. 361). Table 1
demonstrates that the EU relies on Russia for third of its oil and natural gas and thus
diversification of routes and sources is a strategic priority. Moreover the energy disputes of
early January 2006, when the disruption in Russian gas supplies to European countries,
including Germany and Italy, reaffirmed Europe’s vulnerability in its dependence on
imported Russian gas (Egerhofer et al., 2006). Russia’s political decision to cut off gas
supplies to Ukraine, the main transit country for Russian gas headed to Europe, amid a
dispute over prices, awakened the EU. The Russian government seemingly replicated this
incident in early 2007 when a price and transit fee dispute with Belarus caused another
crisis. These incidents have shown the weakness of the European Union and are troubling
because, under the leadership of President Vladimir Putin, the Kremlin has pursued a
strategy whereby European reliance on Russian energy is leveraged into economic and
political gains for Moscow.
Table 1. The EU’s Dependence on Few Suppliers for Its Oil and Natural Gas

Source: Eurostat May 2011, Intra- EU trade excluded.
However the assumption that Russia is able to ―out-leverage‖ the EU paradoxical since,
after all, by nearly every measure of soft and hard power, Europe would seem to have the
upper hand. For instance, the EU has three and half times as many people, spends seven
times as much on its military, and has a GDP fifteen times larger than Russia. Even in EURussia energy trade, the balance of power appears to favor the European Union. While the
gas the EU gets from Russia comprises 25 percent of European consumption, it also
represents a full 70 percent of Russia’s exports (Leonard and Popescu, 2007). Moreover,
due to limitations in export infrastructure to any other region, Moscow currently has
limited alternatives to the EU market. In that sense, Russia is more dependent on the
European market than Europe is on Russian supplies.
However, so far Russia is successful in maintaining a high level of dependency in Europe.
Moreover, the Kremlin has demonstrated that it has few hesitations in manipulating energy
supply volumes in an effort to change a state’s policies. In July 2006, Russian oil pipeline
operator Transneft shut down its pipeline to Lithuania shortly after the Lithuanian
government sold its highly profitable MazeikiuNafta oil refinery to a Polish firm instead of
21

�International Conference on EconomicandSocialStudies (ICESoS’13), 10-11 May, 2013, Sarajevo

Russia’s Lukoil (Egerhofer et al. 2006). Transneft claimed that the shut-down was solely
due to technical problems along the route but steadfastly refused all outside offers of
assistance in repairing or assessing the damage—and even hinted that the pipeline might
remain closed regardless.
The July 2006 incident is hardly the first time that Moscow has shut down pipelines in
attempt to influence countries it considers to be in its backyard. Several times in 1990 and
1991, Russia cut supplies to the Baltic states in a blatant attempt to quash—and later exact
revenge for—their independence movements. Later, in 2003, Transneft shut down its
pipeline into Latvia after the Latvian government did not sell its VentspilsNafta export
terminal to the Russian company…Transneft Vice President Sergei Grigorev spelled this
out very clearly, saying ―Oil can only flow from Russia. [Latvia] can of course sell [the
port] to Westerners. But what are they going to do with it? Turn it into a beach?‖
(Lelyveld, 2003).
Many Western countries chose to interpret the VentspilsNafta debacle as a normal takeover
attempt between two economic entities, ignoring the clear political implications. The
energy sector, particularly in the former Soviet Union, lies at the intersection of business
and politics. Political motivations clearly lie behind Russian gas cut-offs to non-EU
countries like Georgia in 2001 and 2006, as well as recent price hikes to Ukraine, Georgia,
and Azerbaijan. The dependence of these and other countries on Russia for such a vital
commodity gives the Kremlin tremendous leverage. Moscow further increases its leverage
in Europe by acquiring ownership (partial or otherwise) of downstream energy assets.
Baran (2008, p. 160) states that in the past two years, Gazprom has signed deals with Eni
(Italy), Gasunie (the Netherlands), BASF (Germany), E.ON Ruhrgas (Germany), and Gaz
de France, supplementing the company’s already significant holdings in Eastern European
countries. Although Gazprom can often buy a stake in downstream assets outright, its
preferred method of acquisition is through a trade for access to Russian oil and gas fields—
with the Russian energy company naturally always retaining a controlling stake (Cornell,
2008, p. 149). This type of assets-for-access swap is highly beneficial for Russia, since it
gains a presence in downstream European markets without giving up majority control over
its own resources (Baran, 2008, p. 160).
On the other hand Europe’s dependency on Russian gas also undermines many of its
foreign policy goals. Specifically, EU members are forced to limit their criticisms of
Moscow, lest they be given a raw deal at the bargaining table—or become the next victim
of a Kremlin-orchestrated supply disruption. Although mere sermonizing is not likely to be
productive, Europe would have a freer hand to criticize Russia’s increasingly tainted
record on transparency, responsible governance, and human rights if it were not so
dependent on Russian energy.
As Europe has begun to explore ways to diversify its supply of energy, the potential role of
the Caspian region has inevitably emerged on the agenda (Estrada, 2009). Indeed, the
Caspian Sea region is the most obvious candidate to serve as a new and relatively untapped
source of natural gas and oil for Europe. Geographically, the region is located in Europe’s
vicinity, and both the states of the region and those that link it to Europe are largely
friendly to, and seeking greater integration with, Europe.

22

�International Conference on EconomicandSocialStudies (ICESoS’13), 10-11 May, 2013, Sarajevo

The European Energy Needs and Caspian Region Resources
A variety of different products and commodities are vital for the functioning of the
European economy, but it is energy resources, notably oil and gas, that are of critical
importance for the region in the immediate future. As the Table 1 suggests Europe
produces only 48% of its energy needs and is a net importer of energy, and according to a
European Commission report, two-thirds of the EU’s total energy requirements will be
imported by 2020, with natural gas imports estimated to rise to 75% (Tesereteli, 2008, p.
42). The fact that there is a growing demand for energy resources in the world further adds
strain to the issue of access. Unlike the United States, China, or Japan, Europe’s geography
endows it with a geographic proximity to major sources of energy. Europe currently has
three major sources of energy: the Northern Sea region and the potential Norwegian arctic
sector from the north, Russia from the east, and the Middle East and North Africa from the
south (Larsson, 2008, p. 19). Potential new players to join this list are the Caspian states,
which have the potential to help Europe diversify away from its growing dependence on
Russian oil and gas. In fact, some of the oil already flows from the Caspian region to
European refineries via the Baku-Tbilisi-Ceyhan pipeline and other transportation links.
Table 1. EU energy dependency

Source: Eurostat May 2011. Energy production includes primary energy product and
recovered products
Europe faces competition for resources from consumers that are larger and increasingly
ambitious. Like in Europe, the United States’ internal production share in the consumption
of oil is declining rapidly, which means that U.S. dependence on imported oil will rise and,
according to different estimates, may reach 68%, with an increased share of imports
coming from the Gulf States (Tsereteli, 2008, p. 45). As the United States began to take
pro-active steps toward diversifying its energy supplies in the early 1990s, Central
Eurasian resources attracted increasing attention. There is a growing demand for energy in
Asia, and in particular in China, and Chinese state-sponsored companies are aggressively
pursuing opportunities in Kazakhstan and Turkmenistan at whatever cost. This tactic has
worked for them elsewhere in the world, particularly in Africa and Latin America.

23

�International Conference on EconomicandSocialStudies (ICESoS’13), 10-11 May, 2013, Sarajevo

On the backdrop of this strategic energy picture, the security of energy supplies has
become a dominant issue for European consumers. According to Olcott (2010: 257) the
Caspian Sea and Central Asian resources have a substantial role to play in the future oil
supplies of the world. It is estimated that the Caspian will provide at least 10 percent of the
expected increased production capacity in the next decade. Based on the assumption that
current oil prices will remain stable, oil production from the Caspian may reach 6 million
bpd by 2020 (Olcott: 2010: 258-259). The problem of the region is that it is land-locked
and requires the development of new infrastructure, which would allow the potential of the
region to be fully opened for the region itself, as well as for the broader European, and
world energy security (Marketos, 2009: 3). Since maritime connections to the region are
limited, the pipeline options for access to these markets are of critical importance for the
region. Most often used for transcontinental oil movements, pipelines are critical for
landlocked areas. They also complement maritime transportation by providing bypasses or
shortcuts.
In general, pipelines are the primary option for transcontinental transportation since these
are cheaper than railroad, barge, or road alternatives (German, 2008: 65). Pipelines
constitute a safe mode of transportation if operating within a nation's borders, or between
neighbors such as the United States and Canada, Norway and the EU, or between allied
countries such as Azerbaijan, Georgia, and Turkey. On the other hand, pipelines may carry
vulnerabilities if crossing politically unstable areas (Estrada, 2009). Moreover, political
factors often play significant roles even in relatively stable areas, such as Russia. The
political turmoil and price war with Ukraine was an issue of concern for European energy
security, as a significant share of Europe’s oil and natural gas supplies from Russia arrive
via Ukraine.
Previous to the recent crisis over Russian gas, Europe was generally a passive observer of
developments in the Central Eurasian region. The Baku-Tbilisi- Ceyhan pipeline (BTC),
which connects Azerbaijan’s offshore oil fields to the Turkish Mediterranean port of
Ceyhan via Georgia, was developed only through strong U.S. support to the project
(German, 2008: 68). With the BTC pipeline now in operation, and the development of
Caspian natural gas pipeline shipments through Turkey a reality, Europe is acquiring
additional supply routes, without major political efforts on its own part. In addition to
existing supply routes, Europe now has a Caspian-Caucasus-Turkey-Mediterranean oil
pipeline, which can ship light Caspian crude oil directly to the Mediterranean, and then to
the refineries in Southern Europe, avoiding the congested chokepoints (Pipinashvili, 2011:
145). The BTC pipeline stands as an example of how strategic planning, coupled with
well-designed policies, and effective implementation can help commercially viable
projects materialize.
It is obvious that the potential entry of Caspian natural gas to Europe through the South
Caucasus and Turkey would help Europe diversify its energy supplies, and to reduce
dependence on the state-owned Russian monopoly Gazprom (Kısacık, 2010). Indeed, there
appears to be little reason for Europe to access the same resources via Russia, allowing
Gazprom as a monopolist to control prices, while making Europe vulnerable to voluntary
as well as involuntary supply interruptions. Developing pipelines directly to the Caspian
region will perfectly complement major reforms planned in the European gas sector,
aiming at the creation of a competitive market of multiple operators with the interest of
having different options of delivery routes. Such a competitive market is in the long-term
interest of Europe; but it is objectively speaking in Russia’s interest, too (Cornell, 2008, p.

24

�International Conference on EconomicandSocialStudies (ICESoS’13), 10-11 May, 2013, Sarajevo

154). Diversification of supply routes and gas sector reform in Europe will eventually drive
the Russian monopolistic supplier, Gazprom, as well as the Russian gas sector in general,
toward much-needed reforms and transparency that will give it sustainability and stability.
European Policy Options
For Europe, the key to overcoming its dependency on Russia lies on its ability to achieve
greater cohesion regarding external energy policy. According to Baran (2008, p. 161),
Moscow can only extract favorable conditions when it deals with states bilaterally and
plays them against each other. Obviously, a collection of twenty-seven independent states,
can never hope to be as strongly coordinated as Russia, a self-described ―sovereign
democracy‖ whose government increasingly resembles that of the Soviet state from which
it descended. Nevertheless, a more formal framework should be established to streamline
EU policies on energy. Several European leaders, particularly the EU Energy
Commissioner AndrisPiebalgs have supported such a position in his speech at the 12 th
Turkmenistan International Oil and gas Conference (2007). Unfortunately, formalizing a
common European energy policy is quite difficult. Member states are far more reluctant to
cede sovereignty to Brussels on energy policy than they are on trade tariffs or visa
regulations.
At the very least, however, European states must realize that working together on issues of
energy security, especially when dealing with Russia, will be mutually beneficial in the
long term. For one thing, greater competition in the market will help reduce gas prices; the
higher prices that Gazprom recently agreed to pay Turkmenistan and Kazakhstan will
inevitably be passed on to European consumers. While many states in the European Union
may be wary of ―getting tough‖ with Russia, it should hardly be contentious for them to
demand reciprocity in their interactions with Russia (Paillard, 2006, p. 66). This would
mean increasing transparency, allowing third-party investment in the energy sector, and
respecting the rule of law. For a long time, the only efforts undertaken by the EU to move
Russia toward greater reciprocity was to passively insist that the country ratify the Energy
Charter Treaty and associated Transit Protocol (Baran, 2008, p. 164). These entreaties were
repeatedly brushed aside by Moscow. Now, however, Brussels appears to be taking more
robust steps to ensure reciprocity.
The EU also has the legislative tools at its disposal to prosecute companies like Gazprom
or Transneft for their monopoly power (Paillard, 2006, p. 46). In fact, the European
Commission’s Directorate-General for Competition has already used its antitrust laws to
prosecute Microsoft and block a proposed merger between General Electric and Honeywell
(Bobelian, 2013). It is well within its authority to do the same to Gazprom, which is not a
simple business monopoly, but a state owned strategic one.
It is vital that the EU diversify its energy supply by establishing a Southern Corridor.
Thanks to the completion of the Turkey-Greece pipeline, gas can now travel all the way
from Azerbaijan to the European Union without traversing Russia. This is an important
first step, one that must be supplemented by the Greece-Italy connection, Nabucco, and a
trans-Caspian gas pipeline, as well as possibly the White Stream project (Emadi&amp;Nezhad,
2011, p. 29). Building a robust non-Russian-controlled transit route from Central Asia and
the Caucasus will break Russia’s leverage, both in Europe and in the Central AsiaCaucasus region. But for this to happen, the EU must demonstrate its firm support for
states in that region. After all, these states are much more vulnerable to Russian pressure

25

�International Conference on EconomicandSocialStudies (ICESoS’13), 10-11 May, 2013, Sarajevo

than
are
most
European
states.
Before
leaders
like
Turkmenistan’s
GurbangulyBerdymuhamedov or Kazakhstan’s NursultanNazarbayev will commit to a
project such as a trans-Caspian gas pipeline, they must have a firm and steady political
commitment from the entire EU.
Conclusion: What to do?
The EU and its member states can do several things for energy development in the region,
and by extension for itself. The first would be to strongly support the Nabucco project,
understanding that this commercial project is dependent on political support and cannot be
left to market forces alone; since all its competitors are politically supported and not
market-oriented, and energy issues are by nature political (Cornell, 2008, p. 153).
Second, Europe could invest in supporting the Turkmen-Azerbaijani dialogue, which
would be a requirement for a Trans-Caspian linkage. Promising signs of a rapprochement
have been observed, but the two states may need some additional incentive to put their
differences aside. Supporting joint development fields and ensuring the westward export of
its resources would be one such element, which would have the added benefit of de facto
building half the Trans-Caspian pipeline (Cornell, 2008, p. 154).
Third, Europe could engage directly with the new Turkmen leadership to a higher degree.
While far from a democracy, Turkmenistan is exhibiting rapid progress by regional
standards, though it has a long road to travel (Piebalg, 2007). Engaging the country, if the
process is conceived of correctly by the EU, would encourage this process.
Finally, it is clear that when dealing with the region, Europe would be well advised to
realize that it is in no position to put conditions on energy- or other relationships. Central
Asian states are not devoid of options; quite to the contrary, both Russia and China are in a
more advantageous position both politically and geographically in the region (Zhengang,
2009, p. 4). Indeed, should Europe not move rapidly to devise a coherent policy and to
increase its engagement with the region, the energy resources of Central Asia are likely to
reach Chinese and not European consumers.
References
Baran, Z. (2008).Developing a Cohesive EU Approach to Energy Security. . In Cornell,
S., &amp; Nilsson, N. (eds.) Europe’s Energy Security: Gazprom’s Dominance and
Caspian Supply Alternatives (155- 166). Singapore: Central Asia- Caucasus Institute
&amp; Silk Road Studies Program.
Baskan, D. &amp;Muftuler-Bac, M. (2011). The Future of Energy Security for Europe:
Turkey’s role as an Energy Corridor. Middle Eastern Studies, 47(2), 361- 378.
Bobelian, M. (2013). EU Antitrust Regulators Continue Tough Line With Microsoft Fine.
Forbes.
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Cornell, S. E. (2008). Trans-Caspian Pipelines and Europe’s Energy Security.In Cornell,
S., &amp; Nilsson, N. (eds.) Europe’s Energy Security: Gazprom’s Dominance and

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Caspian Supply Alternatives (141- 154). Singapore: Central Asia- Caucasus Institute
&amp; Silk Road Studies Program.
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What Should it Mean? What To Do? European Security Forum Working Paper, 23.
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International Black Sea University Scientific Journal, 5 (2), 21-34.
Estrada, A. M. (2009). Central Asia: Moving Towards Alternative Vision of Energy
Relations. Elcano Royal Institute, Asia-Pasific/ Central Asia Observatory Working
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Review of International Affairs, 2 (2), 64-72.
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Kısacık, S. (2010).AvrupaEnerjiGüvenliğiveTürkiye.BilgesamBeyinFırtınası, Sunum 4
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eyin-frtnas-avrupa-enerji-guevenlii-ve-tuerkiye&amp;catid=139:toplantlar
Larsson, R. L. (2008). Europe and Caspian Energy: Dodging Russia, Tackling China, and
Engaging the U.S. In Cornell, S., &amp; Nilsson, N. (eds.) Europe’s Energy Security:
Gazprom’s Dominance and Caspian Supply Alternatives (pp. 41-56). Singapore:
Central Asia- Caucasus Institute &amp; Silk Road Studies Program.
Lelyveld, M. (2003, February 12). Moscow Seeks Takeover of Latvian Oil Port. RFE/RL.
Retrieved March 11, 2013, from http://www.rferl.org/content/article/1102205.html.
Leonard, M. &amp;Popescu, N. (2007).A Power Audit of EU-Russia Relations.European
Council on Foreign Relations.Retrieved November 21, 2012 from
[http://ecfr.eu/page/-/documents/ECFR-EU-Russiapower-audit.pdf].
Marketos, T. N. (2009). Eastern Caspian Sea Energy Geopolitics: A Litmus Test for the
U.S. – Russia – China Struggle for the Geostrategic Control of Eurasia. Caucasian
review of International Affairs, 3 (1), 2-19.

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Norling, N. (2008). The Nabucco Pipeline: Reemerging Momentum in Europe’s Front
Yard. In Cornell, S., &amp; Nilsson, N. (eds.) Europe’s Energy Security: Gazprom’s
Dominance and Caspian Supply Alternatives (pp. 127- 140). Singapore: Central
Asia- Caucasus Institute &amp; Silk Road Studies Program.
Olcott, M. B. (2010). Central Asia’s Oil and Gas Reserves: To Whom Do They Matter?
Global Journal of Emerging M arket Economies, 2 (3), 257-300.
Paillard, C. A. (2006). Rethinking Russia : Russia and Europe’s Mutual Energy
Dependence. Journal of International Affairs, 63 (2), 65-84.
Piebalg, A. (2007). Turkmenistan and the EU: Why we need an increased co-operation in
the Energy Field? Speech at the 12th Turkmenistan International Oil and Gas
Conference, Ashgabat, Turkmenistan. 15 November 2007. Retrieved March 7, 2013
from http://europa.eu/rapid/press-release_SPEECH-07-720_en.htm.
Pipinashvili, D. (2011). Sino-Russian Geopolitical Interest in Central Asia and South
Caucasus. Bulletin of the Georgian National Academy of Sciences, 5 (2), 144-148.
Sokolsky, R. &amp;Charlick-Pailey, T. (1999). Caspian Security: A mission too far? Rand
Cooperation. Washington D.C.: Rand Cooperation. Retrieved August 7, 2012 from
http://www.rand.org/pubs/monograph_reports/MR1074.html.
Tsereteli, M. (2008) The Black Sea/ Caspian Region in Europe’s Economic and Energy
Security.In Cornell, S., &amp; Nilsson, N. (eds.) Europe’s Energy Security: Gazprom’s
Dominance and Caspian Supply Alternatives (41-56). Singapore: Central AsiaCaucasus Institute &amp; Silk Road Studies Program.
Zhengang, M. (2009).A Brief review of current international situation and China’s
Diplomacy. China International Studies, 15 (2), 4-15.

28

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                <text>For the countries in the Caspian region, whether they have been endowed with  large resources of oil and natural gas or not, the energy politics and energy  security has been at the heart of their efforts to build sovereign and  prosperous states. To this end, oil and gas producing countries in the region  have established arrangements governing the exploration and transportation  of their resources to world markets as a central element of their foreign  policies, whereas consumer countries carefully crafted their levels of  dependence on energy-endowed powers since it is vitally important in  determining their ability to formulate their domestic and foreign policies  independently. For Europe, on the other hand, the discovery of the importance  of energy security has been more recent, and mainly linked to the increasingly  assertive policies that the Russian government and its monopolistic subsidiary,  Gazprom, have adopted over the past years. As the European Union countries  have begun to realize their problem and look for ways to diversify its supply of  energy, the potential role of the Caspian region has inevitably emerged on the  agenda. However, member countries seem to pursue their own energy policy,  which only decrease the overall security of the Union and limit the EU’s foreign  policy options. Apart from this observation, this project explores several  aspects of European energy security particularly its dependence on Russia and  the role of Caspian states as a source of alterative supply and argue that  European countries must establish a European level energy strategy.  Accordingly this study will unfold in four sections. First section will review  Europe’s energy vulnerability along with the similarities between European  and Caspian states in terms of energy politics. Second section will provide an  analysis of emerging Russian energy diplomacy and the role of Gazprom in the  light of recent developments. Third section will put forward the Caspian and  the Black Sea as a future hub of energy for Europe and will discuss the role and  importance of Nabucco and Trans-Caspian pipelines as the two most important  infrastructure projects. Final section will critically review the EU’s approach to  energy security and discuss the need to develop a more cohesive EU approach  towards Caspian countries as well as issues of energy security. Even though  certain individual decisions can be made by member states alone, these  decisions should be made in accordance with the greater strategy goals set by  the European Union.  Keywords: European Union, Caspian Sea, Energy, Security.</text>
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                    <text>International Conference on Economic and Social Studies, 10-11 May, 2013, Sarajevo

Leverage Effect of Marketing in Uncertainty Condition:
Examination of ISE-100
Tülay Top
Mehmet Akif Ersoy University, Burdur, Türkiye
tlytop@mehmetakif.edu.tr
Economic sense of uncertainty / risk concept was started to use at the time of
transition from traditional society to modern society. Uncertainty means, “the
probability of events that adversely affect the economic decision makers' return on
their decisions, in other words the situation that known the possibility of
occurrence of events.
Giddens distinguished the uncertainty into two parts. They’re “external risks” that
originated from external, custom of tradition, or unchanging of nature; “produced
risks” produced by absolute effect of developed information about the world.
Realization possibility of external risks varies from year to year and cannot be
predicted. However when the ignored risks are analyzed, it’s seen that the modern
capitalism reckons the future profits and losses so it organizes future by
uncertainties produced by itself, marginalizes and dominates the future.
Multiplicity of produced risks almost keeps a barrage of metaphor the businesses.
Even businesses provide against any uncertainty, in case of emergence of an
unpredicted and coming from another side they can’t provide against it.
With the economic crisis experienced businesses in Turkey started to attach
importance to “how they provide against to crisis period” topic. For this a lot of
precaution can be said like borrowing/un borrowing with currency or gold, project
and confirmation before investing, rating criterion of banks etc. Namely
management after crisis, management at the time of crisis and management after
crisis is an issue that needs to be known and hold up as an example.
In this study, it is aimed to investigate the difference between the company
performance and marketing effectiveness by using ISE-100 data. To achieve this
aim, first of all, kind of economic crisis and the crisis in turkey will be examined. At
the last part, companies marketing and companies performances will be analyzed
with the help of financial tables and by using ISE-100 data.
On the earth surface, manufactured risks, not only affects the manufactured region
but also effects the transnational. In this context, by considering the Turkey’s
geopolitical and economic cooperation, the crisis in the Europe and in any other
community, affects the ISE-100 firms. Contribution to the literature will be
provided with the determination of the leverage effect of the companies which are
traded in ISE-100 in uncertainty condition which are placed in Turkey.
Keywords: Risk, Crisis, Turkey, ISE-100, Marketing, Company Performances.

266

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                <text>TOP, Tulay</text>
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            <elementTextContainer>
              <elementText elementTextId="14066">
                <text>Economic sense of uncertainty / risk concept was started to use at the time of  transition from traditional society to modern society. Uncertainty means, “the  probability of events that adversely affect the economic decision makers' return on  their decisions, in other words the situation that known the possibility of  occurrence of events.  Giddens distinguished the uncertainty into two parts. They’re “external risks” that  originated from external, custom of tradition, or unchanging of nature; “produced  risks” produced by absolute effect of developed information about the world.  Realization possibility of external risks varies from year to year and cannot be  predicted. However when the ignored risks are analyzed, it’s seen that the modern  capitalism reckons the future profits and losses so it organizes future by  uncertainties produced by itself, marginalizes and dominates the future.  Multiplicity of produced risks almost keeps a barrage of metaphor the businesses.  Even businesses provide against any uncertainty, in case of emergence of an  unpredicted and coming from another side they can’t provide against it.  With the economic crisis experienced businesses in Turkey started to attach  importance to “how they provide against to crisis period” topic. For this a lot of  precaution can be said like borrowing/un borrowing with currency or gold, project  and confirmation before investing, rating criterion of banks etc. Namely  management after crisis, management at the time of crisis and management after  crisis is an issue that needs to be known and hold up as an example.  In this study, it is aimed to investigate the difference between the company  performance and marketing effectiveness by using ISE-100 data. To achieve this  aim, first of all, kind of economic crisis and the crisis in turkey will be examined. At  the last part, companies marketing and companies performances will be analyzed  with the help of financial tables and by using ISE-100 data.  On the earth surface, manufactured risks, not only affects the manufactured region  but also effects the transnational. In this context, by considering the Turkey’s  geopolitical and economic cooperation, the crisis in the Europe and in any other  community, affects the ISE-100 firms. Contribution to the literature will be  provided with the determination of the leverage effect of the companies which are  traded in ISE-100 in uncertainty condition which are placed in Turkey.  Keywords: Risk, Crisis, Turkey, ISE-100, Marketing, Company Performances.</text>
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                    <text>International Conference on Economic and Social Studies, 10-11 May, 2013, Sarajevo

The Students’ Awareness about TAS and TFRS who are
Educated in Business Administration: An Example of
Afyon Kocatepe University
Yusuf Topal
Afyon Kocatepe University, Afyon, Turkey
ytopal75@hotmail.com
Zübeyde Kaya
Afyon Kocatepe University, Afyon, Turkey
zkaya64@hotmail.com
When we look over to the history of Turkish Accounting Standards (TAS)
and Turkish Financial Reporting Standards (TFRS), it is predicated on the
World Accounting Conference which was performed in Australia–Sydney in
1972. Because of these accounting standards that are shaped by making
many changes until now are far out from recent accounting standards and
bring many innovations, there are difficulties in implementing of the
standards.
In the study, it is aimed to measure the level of students’ interest and
awareness about Turkish Accounting Standards and Turkish Financial
Reporting Standards who are educated in Accounting and Finance Program
in Afyon Kocatepe University. In this purpose, a survey was applied to the
students. The results obtained from survey were analysed by using SPSS
Package program. At the end of the study, by grouping the students, it was
tried to determine which group has high level of awareness.
Keywords: Turkish Accounting Standards; Turkish Financial Reporting
Standards.

276

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                <text>When we look over to the history of Turkish Accounting Standards (TAS)  and Turkish Financial Reporting Standards (TFRS), it is predicated on the  World Accounting Conference which was performed in Australia–Sydney in  1972. Because of these accounting standards that are shaped by making  many changes until now are far out from recent accounting standards and  bring many innovations, there are difficulties in implementing of the  standards.  In the study, it is aimed to measure the level of students’ interest and  awareness about Turkish Accounting Standards and Turkish Financial  Reporting Standards who are educated in Accounting and Finance Program  in Afyon Kocatepe University. In this purpose, a survey was applied to the  students. The results obtained from survey were analysed by using SPSS  Package program. At the end of the study, by grouping the students, it was  tried to determine which group has high level of awareness.  Keywords: Turkish Accounting Standards; Turkish Financial Reporting  Standards.</text>
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Event Marketing – A Powerfull Tool
Case : Red Bull Šinomobil Event
Damir Topalovid
International Burch University, Sarajevo, Bosnia and Herzegovina
damirto@hotmail.com
In the today's society, it is very challenging to keep up with the marketing
trends. There are a lot of factors that should be considered in the pursuit
for the potenitial consumers. The chase is spiced even more, if we consider
that consumers are slightly evolving with every next generation, as should
evolve our approach to them.
This paper discovers the idea of Event Marketing and the opportunities
that are available to everyone who plans the desired activity creatively,
and considering all important elements, in order to reach the target group.
The case study of Red Bull Šinomobil event was the suitable as the Best
Practice event, that prooves the idea and shows the awareness about the
brand created. The successful organization resulted with the high media
coverage and 8.25 mil people reached in total, plus the enormous WOM
created.
Keywords: Event Marketing, Powerfull Tool, Red Bull Šinomobil, Best
Practice event

83

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Event Marketing – A PowerfullToolCase : Red Bull ŠinomobilEvent
DamirTopalović
International Burch University, Sarajevo, Bosnia and Herzegovina
damirto@hotmail.com
Abstract
In today's society, it is very challenging to keep up with the marketing trends. There
are a lot of factors that should be considered in the pursuit for the potenitial
consumers. The chase is spiced even more, if we consider that consumers are slightly
evolving with every next generation, as should evolve our approach to them.
This paper discovers the idea of Event Marketing and the opportunities that are
available to everyone who plans the desired activity creatively, and considering all
important elements, in order to reach the target group.
The case study of Red Bull Šinomobil Race event was the suitable as the Best Practice
event, that prooves the idea and shows the awareness about the brand created. The
successful organization resulted with the high media coverage and 8.25 mil people
reached in total, plus the enormous WOM created.
Keywords: Event Marketing, Red Bull®, Word of Mouth.

Introduction
How much does the organized event effect the popularization of a product, service or
brand? Is it a sustainable way of advertising and for how long it can stay memorized in the
heads of consumers? Is it expensive to organize an event? Those are the questions that I
tried to answer in this paper.
Advertising is a model of communication in marketing which tries to inform the potential
consumers and awake their interest towards the product or service.
A company that would like to advertise its service or product, chooses the type of media
as a transmitter of their message to the public, which can be: television, radio, newspaper,
magazine, movie, internet, mobile phone, event (conference, fair, etc...), poster, bilboard,
etc... Selection of the media is highly important and it should intend to reach as much of
our potential consumers as it can. Of course, there are certain rules and restrictions by the
valid laws that should be obeyed.
Marketing
Marketing is a social, calculated, and controlled process, which helps the individals or
groups to get what they need, by creating the offer and the opportunity to exchange goods.
Traditionally, marketing represents the activities which help the product or service to meet
the consumer, user or client.
Application of marketing at the market can be represented trough the process of four steps,
which starts with the analysis of the ''universum'' of potential conusmers. After that,

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commes the attracting their Attention\Awareness to your product or service, which turns
into the Interest to know more about it. In the third phase, you would
convincethepotentialconsumersthattheyDesiretheproductor
service,
whichwillsatisfytheirneeds, sothey can completetheprocessbyAction of purchase of a
product, subscription, download, ortheuse of otherservices. (AIDA model, E. St.
ElmoLewis, 1898)
Generally, themarketingrepresentsthepursuit of discoveringtheneedsandinterests of
consumers, whicharedevelopedandsatisfied in theend. It is a civilizedtype of a combat,
whereyouwinwiththewords, ideasandstrategicthinking.
Event
Event is a moment in time, when something special is happening, happened or it is above
to happen. Considering the dimension of gathering, event can be:
- celebration (wedding)
- competition (sports)
- conference
- exhibition (photo, car show)
- festival
- media event
- party
Managing an event would include a lot of factors and details that should be considered, in
order to make it successful. Engagement of an external body, an event agancy, turns out as
one of our options.
After defining the goal of the event, a good event organizer will carefully select the
location of the organization, which will fit to the type of the event. In this case, the
functionality of the space is one of the crucial factors, where the size, the commodity of the
event visitors, and the circularization of the people is unnegotiable.
Responsible approach to the organization of the event such as, conference, meeting, fair,
round table, fashion show, or even the competition usually includes:
- budget plan
- location selection
- team definition, event staff (task distribution)
- event concept writting
- promotion materials preparation (posters, flyers, presents...)
- person for the public relations and media
- event coordinator - manager
- collecting necessary permits by law
- program definition and writting (exact timing definition)
- definition of the best technical solution for the event
- scenery definition and set up
- audio, video, lighting equipment
- engagement of the ambulance, fire dept. and the police
- engagement of the security officers (according to the valid laws)
- registration of the participants (info desk and the people)
- engagement of experts (refrees, waiters, translators, hostesses, DJs, dancers, animators,
announcers)

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�International Conference on EconomicandSocialStudies (ICESoS’13), 10-11 May, 2013, Sarajevo

- guests coordination
- VIP guests program
- welcome drink (cocktail)
- addressing to the guests, audience (speach writting)
- catering (lunch, dinner...)
- transportation and parking
- other logistics issues
- weather forecast (for outdoor events)
- regulation of the payments towards the services used
It is strongly recommended to find the different solution for every event, in the way that
the main idea comes as the result of the market research and that follows the latest event
trends. Only in that case the success will not stay away.
It would be an advantage if the organized event was the part of the overal marketing plan,
since the events reach the consumers face to face, in more relaxed manner, which is a good
chance to make them feel connected to the product of service.
Red Bull
Red Bull® wasintroduced in 1984 in Austria, Europe. Afterthejust 13 yearsyoucould buy it
in almostallEuropeancountries, USA, Africa, South America, andThe Caribbean.
Thecompany
is
located
in
Salzburg,
Austria,
wheretheproduct
is
cannedanddistributedtoallparts of theworld. That is the 100% guaranteeforthesamecontent
in each can.
RedBull® EnergyDrink is a functionaldrinkwiththespecialformulaandthecombination of
ingredients,
developedforthesituations
of
extremephysicalandmentalactivities.
Itseffectsarerecognizedbythesportsmen,
workingprofessionals,
activestudents,
driversandallotherswhoneedtheenergy.
EventsorganizedbyRedBullaregenerallydivided in twogroups:
- Small Fire Events (small)
- BrandBuildingEvents (big)
Bigeventsareopenedforthewholepopulation of consumers, theyareinterestingtoallpeople,
andtheyresult
in
highpublicity.
Small
eventsaretargetingthespecificgroup
of
consumersforexample, students, workingpeople, etc.
RedbullŠinomobilRaceeventwasorganized in theSeptember 26, 2010 in Sarajevo, on
thetramrails.
Itwasthecompetitionwhereyouneededtomake
a
railoperatingvehicle,
accordingtotheprescribedstandards,
andwinthedragraceagainstyouopponenttogettothenextroundbyknock-outsystem.
Calculation
May – September, 2010
- 8000 flayers, 300 posters distributed, Facebook
Spent: EUR 450,00
- September, 2010:

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Radioannouncements:
- 2 radiojingles, 8 radiostations, 2 weeks
Spent: EUR 4.350,00
Outdoor media:
- 20 City Light posters, 4 weeks
Spent: EUR 4.700,00
- 6 branded tram stops
Spent: EUR 5.700,00
- 60 posters inside the operating trams
Spent: EUR 950,00
Internet announcements:
- 4 web portals, 2 weeks
Spent: EUR 4.300,00
Bluetooth City Network:
- 60.000 SMS messages, 2 weeks
Spent: EUR2.300,00
TOTAL SPENT ON EVENT ADVERTISING: EUR 22.750,00
During the applications of contestors in May, 2010 4 top TV stations in the country emitted
15 minutes of highlight news about the forthcoming Red Bull Sinomobil Race. Top 5 TV
stations emitted 40 minutes of news about the event in September. On line medias showed
the great interest about the event. More than 20 articles were talking about the incoming
event.
The Red Bull Sinomobil Race event ended successfuly, with 10.000 people in the audience
on the spot. Most of the TV channels infomed the public about the winners of the Race. All
popular web portals transmited the news also. You could find the articles about the
Šinomobil in most of the tomorrow’s newspaper.
Table 1: Total Media Outcome of the Event

1. RED BULL SINOMOBIL MEDIA OUTCOME
TV
SEP 5 mil contacts &amp; May 2 mil.
WEB
0,5 mil
Radio

0,5 mil listners.

Print
Total:

0,25 mil
8,25 mil

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Just for the comparision, I have calculated the cost of the overal free TV broadcast about
the Race in total. Recollect, there were no paid TV advertisements of the event.
Table 2: Calculation of the total cost of the TV broadcast
Number of TV Number
stations
minutes
5
140 minutes

of Number
of Average
second AMOUNT
seconds
price in BiH
8400 seconds
EUR 12,00
EUR
100.800,00

EVENT ADVERTISING COSTS: EUR 22.750,00
FREE TV MEDIA BROADCAST (Approx.): EUR 100.800,00
Conclusion
There is no need to add the free web and newspaper publications about the Race, and to
calculate other logistic expenses of the event, to conclude that Red Bull Šinomobil Race
event was a true success. It is a true trophy to create an event interesting enough for the
people and the media, which talks only the best about your company, in this case the
brand.
Of course, we must not forget the 10,000 spectators and 68 participants, which were
directly introduced with the Race and the Red Bull brand, on the spot. All of them
participated in the creation of massive WOM1 after the event, by spreading the news and
their experience with the third parties, which increases the total number of contacts much
more then 8,25 mil. This paper prooves that WOM effect lasts even three years after.
Event preparation and execution is a demanding job, and requires the certain number of
factor that should be put together in harmony. But, if the competence, experience, hard
work and a bit of luck is on your side, the success is guaranteed.
Considering the current period of economic crisis and the fact that all budgets are
decreased, I wanted to proove that Event Marketing is a powerful and sustainable
marketing and communication tool.

References
1.
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3.
4.
5.
6.
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Haton, A.,“Planiranje u marketingu”,Clio (2003), Beograd
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Spahić, B., ”Dizajn-ekonomski, društveni i politički aspekti oblikovanja”, MIB
(2002), Sarajevo
Sparling, K., ”Organizacija i funkcija marketinga”, Clio (1994), Beograd

WOM – Word of Mouth (www.merriam-webster.com)

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Lammiman, J. &amp; Syrett, M., ’’Cool generacija – Nova poslovna filozofija’’, Naklada
ljevak (2005), Zagreb
www.marketingmagazine.co.uk/
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http://www.economy.rs/biznis-mali/27/saveti/osnove-marketinga/Sta-jemarketing-.html
http://www.biggraphicimpressions.com/event-marketing.cfm
http://ds178-77-125-83.dedicated.hosteurope.de/
http://www.executivevisions.com/event-marketing.asp
http://www.pierceevents.net
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http://en.wikipedia.org/wiki/Word_of_mouth
http://www.nidus.org/
https://infonet.redbull.com/Infonet/CommunicationsModule/ShowStartPage
http://www.merriam-webster.com/dictionary/word-of-mouth
http://www.pink.co.ba/marketing/
http://www.hayat.ba/marketing/113-cjenovnik-oglaavanja-u-programu-tv-hayat
http://www.rtvfbih.ba/doc/Cjenovnik-FTV-2011-za-web.pdf
http://www.obn.ba/download/cjenovnik%20usluga.pdf
http://tvsa.ba/Cjenovnik_marketinskih_usluga_TVSA.pdf
www.facetv.ba/downloads/market3.xls

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