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                    <text>Effect of Gibberellic Acid Application Times on Earliness and Production
of A-106 Artichoke Cultivar in Antalya Ecologic Conditions
Meliha Temirkaynak,
Sadettin Küçük
Recep Çoşkun
West Mediterrenean Agricultural Research Institute, Antalya-Turkey
Abstract: Artichoke is one of the important vegetable crops in Mediterranean countries including
Turkey. In our country, while artichoke production was undertaken in İzmir, Bursa and Yalova until 10
years ago, its area of production has broadened to include southern cities such as Antalya and Muğla.
As early artichoke production, especially in Antalya region, is profitable for farmers, demand for
growing this crop has increased. The present study investigated the effect of gibberellic acid
application times (0, 1, 2, 3 and 4) on earliness and production of A-106 artichoke cultivar. The plants
were grown in West Mediterrrenean Agricultural Research Institute in 2007-2008. The results show that
GA3 applications are very effective to promote earliness in A-106 cultivar.
Keywords: GA3 application, time, artichoke, A-106 and earliness.

Introduction
Artichoke is a vegetable whose forebear is thistle and is included in Cynara cenus in botanical
classifying, which belongs to the Asteraceae family, and it is perannual, in rozetta shape. It is declared in
literature that the home of this vegetable, which can be seen in Mediterranean basin, is middle and west
Mediterranean and has firstly been consumed by the Romans in 1979 B.C. (Anonymous a 2008; Graifeirberg ve
ark. 1995; Lanteri ve ark. 2001; Stamigna 2001; Hill 2001).
In our country artichoke is grown by vegetative propagation and especially in Aegean and Mediterranean
regions with our standard types for a long time. However, taking more and early products from unit area has
been the main objective, as the other branches of agriculture where the production cost increases day by day. In
this context, our region, especially Antalya and neighbours, has many advantages in earliness as in many other
kinds of fruit and vegetables. Until a few years ago, it wasn’t possible to see other plantations that were
established by other types than Sakız and Bayrampaşa. In the last years, the number of plantations that are
established with hybrid artichoke cultivars that are produced by seed have increased. Production by seed has an
important disadvantage, lateness, besides many important advantages like productivity, resistance to
diseases(especially Verticillium spp. ve Fusarium spp.) and profitability (Macua ve ark. 2000; Gil ve ark. 2003;
Calabrese ve ark. 2004; Bianco 2000).
The elimination of lateness has an importance in production by seed if artichoke is going to be grown in
Mediterranean region of our country, especially in Antalya where earliness is of importance.
Artichoke needs vernelization 250 hours under 7 C to form a head (although changing from cultivar to
cultivar). Foury ve Pecaut 1988; Welbaum 1994; Basnizki ve Goldschmidt 1994; Hill 2001). The effects of GA3
applications in artichoke on earliness and productivity has been known and applicated for a long time. It has
been declared in many scientific works that GA3 applications has taken the place of colding need for head
forming in many cultivars (Gerakis ve ark.,1969; Snyder ve ark.1971; Kocer ve Eser 1999; Miguel ve ark.,1997;
Miguel ve ark.,2004; Ercan ve ark.2004).
The effects of hormone applications on seed propagated artichoke cultivars depend on date of
plantation, time of application, number of application, dosage of application, and cultivar. (Welbaum 1994;
Schrader, 1992; Elia ve ark., 1994; Mauromicale ve Ierna 1995; Miguel ve ark., 1997; Calabrese ve Bianco
2000; Mauromicale ve Ierna 2000; Goreta ve ark.,2004; Eldin ve ark., 2007).
Mauromicale ve Ierna (2000) has decided that the head characteristics of Orlando and Sicilia artichoke
cultivars change by hormon applications.
Calabrese (2000) examined the early productivity of 8 hybrid artichoke types which are produced by
seed in Southern Italy. It has been decided that the period between seeding and harvest is 97-120 days. It is
declared in the studies of these investigators that productivity changes according to cultivars between 1.75/2.20
ton/ha. These results show that artichoke types that are produced by seed can be grown in October-May like
other types which are grown in early classical ways.

34

�Material
In this study A-106 artichoke cultivar, which is included in Cynara cenus which belongs to Asteraceae
family, has been used as plant material. A-106 artichoke cultivar is a type which is early, has a low vernelization
need, with much productivity, which form qualified heads, and has many puple brakte leaves.
This study was conducted between the years 2007-2008 in a artichoke plantation situated in West
Mediterrenean Agricultural Research Institute in Antalya-Turkey (360 56 N', 300 51' E).

Method
In this research it is aimed to determine the most suitable GA3 application time for A-106 artichoke for
earliness. In this research 4th, 6th and 8th weeks after transferring to soil was selected as the first application time
for vegetable development regulatory. 25 ppm GA3 applications were made to the plants by spraying. Only water
was sprayed to the plants that have been selected as the control group. In this study following criteria have been
examined:
1. Number of days from transfer to soil until harvest (earliness)
Number of days from transferring the vegetables to soil until harvest is an important criteria in
determining the effectiveness of the applications on earliness.
2. Head weight (g)
Differences among the applications are determined by weighing the heads at time of harvest.
3. Head length (mm)
Differences among the applications are determined by measuring the length of heads at time of
harvest.
4. Head diameter (mm)
Differences among the application are determined by measuring the diameter of heads at time of
harvest.
5. Productivity (kg/da)
Productivity in da is calcuted in kg by the productivity per vegetable.
All application groups were laid out with four replications and 10 plants in each replicants in the randomised
block experimental design. Data were subject to analysis of variance by SAS statistical program (SAS Institute,
Version 7) and means were compared by LSD’s (Least Significant Differences) test at 0.05 significance levels.

Results and Discussion
In this research, where the affects of GA3 application times on A-106 artichoke cultivar on earliness,
yield and head quality is examined, it was determined that hormone applications have important affects on all
criteria that have been examined, compared to the control vegetables with no applications.
Although depending on the application time of hormone, average 1,5 months of earliness was provided
at the vegetables with applications. The earliest harvest at the GA3 application made at the 4th week happened at
the 98. day after transferring to soil. The latest harvest happened at 140. day at the control group with the plants
with no hormone application. At other application times these periods were very close, between 100-110 days.
The effects of hormon application times on productivity was shown at Figure 1. As it can be seen in
Figure 1, the effects of the applications were found statistically significant. The effects of application times on
yield changed between 1.12-1.88 t/da; the highest yield was determined at the GA3 application on the 4. week
as 1.88 t/da, and it was followed by the application at 6. week and the control apllication at the 8. week. The
effects of applications on yield was found to be more succesful in all applications than control. Our trial results
are in accordance with many other investigators. In many studies where the effects of hormone application times
on artichoke was examined, it is reported that hormone application times increase productivity significantly.
(Esteva ve Ayala, 2004; Ercan ve ark. 2004;Gil ve ark. 1998; Goreta ve ark. 2004)
Besides, the effects of hormone application times on head quality (head weight, head width and length)
are examined and the results are presented in Figure 2. The effects of the applications on the head quality were

35

�different. As a result of the statistical evaluations it is determined that the all hormone apllication times have
important effects on all quality criteria that are examined, compared to the control group. Furthermore, the
effects of hormone application times on head quality (head weight, head width and length) were examined in this
study and the results are presented at Figure 2. The effects of the applications made on head quality were
different. For example, the highest head weight was found to be 423 g at the 4th week, the lowest head weight
was 410 g at the heads at the control group. Head weight values determined at other hormone application times
took place in the same group statistically with the 4th week applications. The highest value of head width was
found in the heads with hormone applications on 4th week. The highest head height was found at the vegetables
with hormon applications on 8th week. The effect of GA3 applications on head length can be explained by the
fostering of the GA’s to the cells for growing.
In this study, where the effects of GA3 application times on earliness, yield and head quality of A-106
artichoke cultivar were examined, considering all the criteria investigated it can be said that the optimum GA3
application time is the 4th week after transferring the vegetables to soil.

Table 1. Effect of GA3 Application Times on Yield (tonnes/da) of A-106 Artichoke Cultivar
Application Time
Yield(tonnes/da)
Control
1.12 C
4.th
1.88 A
6. th
1.64 B
8. th
1.58 B
LSD%5
0.18
Table 2. Effect of GA3 Application Times on Head Quality of A-106 Artichoke Cultivar
Application Time
Head Weight (g)
Head Diameter (mm)
Head Lenght mm)
Control
382 B
98.98 C
89.48 C
4.th
423 A
130.28 A
98.74 B
6. th
418 A
122.48 B
112.46 B
8. th
420 A
120.22 B
118.34 A
LSD%5
22
8.42
6.32

36

�References:
ANONYMOUS, 2008. Artichoke-Spring Season. http://www.mmdtkw.org
BASNIZKI Y. and E.E. GOLDSCHMIDT, 1994. Further Examination of Gibberelline A3 Effects on Flowering of Globe
Artichokes (Cynara scolymus L.) Under Controlled Environment and Field Conditions. Isr. J. Plant Sci. (42):159166.
BIANCO V.V., 2000. Present situation and future potentials at artichoke in the Mediterranean basin. http://www.
area.ba.cnr.it
CALABRESE N. And V.V. BIANCA, 2000. Effect of Gibberellic Acid on Yeld and Quality of Seed Grown Artichoke
(Cynara cardunculus var. Scolymus (L.) Fiori). Acta Hort. 514:25-32.
CALABRESE N., E. DE PALMA and V.V. BIANCA, 2000. Gibberellic acid and earliness of new seed propagated
artichoke cultivars grown for four years (Abstract). IV. International Congress on Artichoke, October 17-21.
Valenzanı-Bari, Italy.
CALABRESE N., E. DE PALMA and V.V. BIANCA, 2004. Yields and quality of new commercial seed grown artichoke
hybrids (Abstract). V. International Congress on Artichoke 5-8 may, 2003. Tudela-Navarra, Spain.
ELDİN A.S., W.H. SCHNİTZLER, G. NİTZ, A.M. RAZİN and I.I. El-OKSH, 2007. The Effect of Gibberellic Acid
(GA3) on Some Phenolic Substances in Globe Artichoke (Cynara cardunculus var. scolymus (L.) Fiori). Scientia
Horticulturae
Volume 111, Issue 4, 16 February 2007, Pages 326-329.
ELIA A., N. CALABRESE and V.V. BIANCO, 1994. Sowing Time, Gibberellic Acid Treatments and Cultivars of “Seed”
Propagated Artichoke. Acta.Hort. 371:347-354.
ERCAN N., A.N. ONUS, F. AYAR, M. TEMİRKAYNAK, A.S. ŞENSOY and E. POLAT, 2004. Determination of
optimum GA3 concentrations and awakining irrigation time for globe artichoke (Cynara scolymus L. Cv. Sakız)
grown in mediterranean region of Turkey. V. International Congress on Artichoke 5-8 may, 2003. Tudela-Navarra,
Spain.197-203.
FOURY C., 2003. Common vegetables for seed and fruit. Chapter: Artichoke or globe artichoke and cardoon.
http://gears.tucson.ars.ag.gov. (03.05.2008)
GERAKIS P.A., D. MARKAIN and S. HONMA, 1969. Vernalization of Globe Artichoke, Cynara scolymus. J. Amer.
Hort. Sci. 94:254-258.
GIL O.R., J.J. MACUA and P. ARCE, 1993. Differentes ciclos de produccion en variedades de alcacchofa de
multiplicacion por semilla. Agricola Vergel 139 :379-380.
GORETA S., L. BUCAN and G. DUMİNİC, 2004. Effect of Environment and Gibberellic Acid (GA3) on Earliness and
Yield of Globe Artichoke. V. International Congress on Artichoke 5-8 may, 2003. Tudela-Navarra, Spain.155-159.
GRAIFEIRBERG A., L. GIUSTINIANI, O. TEMPERINI and M. LIPUCCI DI PAOLA, 1995. Allocation of Na, Cl, K
and Ca within plant tissues in globe artichoke (Cynara scolymus L.)under saline-sodic conditions. Scientia
Horticulturae 63 (1995) 1-10.
HILL, D.E, 2001. Globe artichoke trials 1998, 2000 Management of yield using ınduced or natural vernalization. The
Connecticut Agricultural Experiment Station, New Haven Bulletin 975, may 2001. 7 pages.
KOÇER, G. ve B. ESER, 1999. Köklü Dip Sürgünü Özellikleri ve GA3 Uygulamalarının Enginarda Verim Dağılımına
Etkileri. Turkish Journal of Agriculture&amp;Forestry. Türk Tarım ve Ormancılık Dergisi. 23(2): 325-332.
LANTERI S., I. D. LEO, L. LEDDA, M.G. MAMELI and E. PORTIS, 2001. RAPD variation within and among
populations of globe artichoke cultivar ‘Spinosa Sardo’. Plant Breeding 120, 243-246.
MACUA J. I, L. LAHOZ, A. MALUMBRES, J. GARNİCA, I. URMENETA and A. ARRONDO, 2000. Agricultural
Behavior of Two Cardoon Varieties at Different Planting Dates in Navarra. V International Congress on Artichoke
(abst.)
MAUROMİCALE G. and A. IERNA, 1995. Effects of Gibberellic acid and Sowing Date on Harvest Time and Yields of
Seed-Grown Globe Artichoke (Cynara scolymus L.). Agronomie. 15:527-538.
MAUROMİCALE G. and A. IERNA, 2000. Characteristics of Head of Seed-Grown Globe Artichoke (Cynara cardunculus
L. var. scolymus (L.) Fiori) as effected by Harvest Period, Sowing Date and Gibberellic Acid
MIGUEL A., J.V. MAROTO, B. IRANZO and S. LOPEZ, 1997. Acido Giberelico en alcachofa. Horticultura, 120:111113.Agronomie 20: 197-204.
MIGUEL A., C. BAIXAULI, J.M. AGUILAR, A. GINER, J.V. MAROTO, S. LOPEZ, A SAN BAUTİSTA and B.
PASCUAL, 2004. Gibberellic Acid Concentrations in Seed Propagated Artichoke. V. International Congress on
Artichoke 5-8 may, 2003. Tudela-Navarra, Spain.167-172.
SCHRADER W.L., 1992. Growth Regulator Effects on Earliness and Yield in Artichokes Grown as Annuals from
Seed.HortScience. 27:643.
SNYDER M.J, N.C. WELCH and V.E. RUBATZKY, 1971. Influence of Gibberellin on Time of Bud Development in
Globe Artichoke. HortScience, 6 (5):484-485.
STAMIGNA C., G. PANDOZY, P. CRINO and F. SACCARDO, 2001. Male-sterility in Artichoke (Cynara scolymus L.)
(Abstract). Proceedings of the XLV Italian society of Agricultural Genetics SIGA Annual Congress. Salsomaggione
Terme, Italy-26/29 September 2001.
WELBAUM, G.E., 1994. Annual Culture of Globe Artichoke from Seed in Virginia. HortTechnology. 4 (2(:147-150.

37

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Küçük, Sadettin
Çoskun, Recep</text>
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                <text>Artichoke is one of the important vegetable crops in Mediterranean countries including   Turkey. In our country, while artichoke production was undertaken in İzmir, Bursa and Yalova until 10  years ago, its area of production has broadened to include southern cities such as Antalya and Muğla.  As early artichoke production, especially in Antalya region, is profitable for farmers, demand for  growing this crop has increased.  The present study investigated the effect of gibberellic acid  application times (0, 1, 2, 3 and 4) on earliness and production of A-106 artichoke cultivar. The plants  were grown in West Mediterrrenean Agricultural Research Institute in 2007-2008. The results show that  GA3 applications are very effective to promote earliness in A-106 cultivar.</text>
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                    <text>1st International Syposium on Sustainable Development, June 9-10 2009, Sarajevo

Effect of Gibberellic Acid Application Times on Earliness and Production
of A-106 Artichoke Cultivar in Antalya Ecologic Conditions
Meliha Temirkaynak
Sadettin Küçük
Recep Çoşkun

West Mediterrenean Agricultural
Research Institute, Antalya-Turkey

Abstract: Artichoke is one of the important vegetable crops in Mediterranean countries
including Turkey. In our country, while artichoke production was undertaken in Đzmir, Bursa
and Yalova until 10 years ago, its area of production has broadened to include southern cities
such as Antalya and Muğla. As early artichoke production, especially in Antalya region, is
profitable for farmers, demand for growing this crop has increased. The present study
investigated the effect of gibberellic acid application times (0, 1, 2, 3 and 4) on earliness and
production of A-106 artichoke cultivar. The plants were grown in West Mediterrrenean
Agricultural Research Institute in 2007-2008. The results show that GA3 applications are very
effective to promote earliness in A-106 cultivar. it
Keywords: GA3 application, time, artichoke, A-106 and earliness.

Introduction
Artichoke is a vegetable whose forebear is thistle and is included in Cynara cenus in botanical
classifying, which belongs to the Asteraceae family, and it is perannual, in rozetta shape. It is declared in
literature that the home of this vegetable, which can be seen in Mediterranean basin, is middle and west
Mediterranean and has firstly been consumed by the Romansin 1979 B.C. (Anonymous a 2008; Graifeirberg ve
ark. 1995; Lanteri ve ark. 2001; Stamigna 2001; Hill 2001).
In our country artichoke is grown by vegetative propagation and especially in Aegean and Mediterranean
regions with our standard types for a long time. However,taking more and early products from unit area has
been the main objective, as the other branches of agriculture where the production costincreases day by day. In
this context, our region, especially Antalya and neighbours, has many advantages in earliness as in many other
kinds of fruit and vegetables. Until a few years ago, it wasn’t possible to see other plantations that were
established by other types than Sakız and Bayrampaşa. In the last years, the number of plantations that are
established with hybrid artichoke cultivarsthat are produced by seed have increased. Production by seed has an
important disadvantage, lateness, besides many important advantages like productivity, resistance to
diseases(especially Verticillium spp. ve Fusarium spp.) and profitability (Macua ve ark. 2000; Gil ve ark. 2003;
Calabrese ve ark. 2004; Bianco 2000).
The elimination oflateness has an importance in production by seed if artichoke is going to be grown in
Mediterranean region of our country, especially in Antalya where earliness is ofimportance.
Artichoke needs vernelization 250 hours under 7 C to form a head (although changing from cultivar to
cultivar). Foury ve Pecaut 1988; Welbaum 1994; Basnizki ve Goldschmidt 1994; Hill 2001). The effects of GA3
applications in artichoke on earliness and productivity has been known and applicated for a long time. It has
been declared in many scientific works that GA3 applications has taken the place of colding need for head
forming in many cultivars (Gerakis ve ark.,1969; Snyder ve ark.1971; Kocer ve Eser 1999; Miguel ve ark.,1997;
Miguel ve ark.,2004; Ercan ve ark.2004).
The effects of hormone applications on seed propagated artichoke cultivars depend on date of
plantation, time of application, number of application, dosage of application, and cultivar. (Welbaum 1994;
Schrader, 1992; Elia ve ark., 1994; Mauromicale ve Ierna 1995; Miguel ve ark., 1997; Calabrese ve Bianco
2000; Mauromicale ve Ierna 2000; Goreta ve ark.,2004; Eldin ve ark., 2007).
Mauromicale ve Ierna (2000) has decided thatthe head characteristics of Orlando and Sicilia artichoke
cultivars change by hormon applications.
74

�1st International Syposium on Sustainable Development, June 9-10 2009, Sarajevo

Calabrese (2000) examined the early productivity of 8 hybrid artichoke types which are produced by
seed in Southern Italy. It has been decided that the period between seeding and harvest is 97-120 days. It is
declared in the studies of these investigators that productivity changes according to cultivars between 1.75/2.20
ton/ha. These results show that artichoke types that are produced by seed can be grown in October-May like
othertypes which are grown in early classical ways.

Material
In this study A-106 artichoke cultivar, which is included in Cynara cenus which belongs to Asteraceae
family, has been used as plant material. A-106 artichoke cultivaris atype which is early,has a low vernelization
need, with much productivity,which form qualified heads, and has many puple brakte leaves.
This study was conducted between the years 2007-2008 in a artichoke plantation situated in West
Mediterrenean Agricultural Research Institutein Antalya-Turkey (360 56 N', 300 51' E).

Metod
In thisresearch itis aimed to determine the most suitable GA3 application time for A-106 artichoke for
earliness.Inthisresearch 4th,6th and 8th weeks aftertransferring to soilisselected asthe firstapplication time for
vegetable development regulatory. 25 ppm GA3 applications were made to the plants by spraying. Only water is
sprayed to the plants that have been selected as the control group. In this study following criteria have been
examined:
1. Number of days from transferto soil until harvest(earliness)
Number of days from transferring the vegetables to soil until harvest is an important criteria in
determining the effectiveness of the applications on earliness.
2. Head weight (g)
Differences among the applications are determined by weighing the heads attime of harvest.
3. Head length (mm)
Differences among the applications are determined by measuring the length of heads attime of harvest.
4. Head diameter (mm)
Differences among the application are determined by measuring the diameter of heads attime of harvest.
5. Productivity (kg/da)
Productivity in da is calcuted in kg by the productivity per vegetable.
All application groups were laid out with four replications and 10 plantsin each replicantsinthe randomised
block experimental design. Data were subjectto analysis of variance by SAS statistical program (SAS Institute,
Version 7) and means were compared by LSD’s (Least Significant Differences)test at 0.05 significance levels.

Results and Discussion
In this research, where the affects of GA3 application times on A-106 artichoke cultivar on earliness,
productivity and head quality is examined,itis determined that hormone applications have important affects on
all criteriathat have been examined, compared to the control vegetables with no applications.
Although depending on the application time of hormone, average 1,5 months of earliness is provided at
the vegetables with applications. The earliest harvest atthe GA3 application made atthe 4th week happened at
the 98. day aftertransferring to soil. The latest harvest happened at 140. day atthe control group with the plants
with no hormone application.At other application times these periods were very close, between 100-110 days.
The effects of hormon application times on productivity is shown at Figure 1. As it can be seen in
Figure 1, the effects of the applications are found statistically significant. The effects of application times on
productivity changed between 1.12-1.88 t/da;the highest productivity was determined atthe GA3 application on
the 4. week as 1.88 t/da, and it is followed by the application at 6. week and the control apllication at the 8.
week. The effects of applications on productivity is found to be more succesfulin all applications than control.
Our trialresults are in accordance with many other investigators.In many studies where the effects of hormone
application times on artichoke are examined,itis reported that hormone application times increase productivity
significantly.(Esteva ve Ayala, 2004; Ercan ve ark. 2004;Gil ve ark. 1998; Goreta ve ark.2004)
Besides,the effects of hormone application times on head quality (head weight, head width and length)
are examined and the results are presented in Figure 2. The effects of the applications on the head quality are
75

�1st International Syposium on Sustainable Development, June 9-10 2009, Sarajevo

different. As a result of the statistical evaluations it is determined that the all hormone apllication times have
important effects on all quality criteria that are examined, compared to the control group. Furthermore, the
effects of hormone application times on head quality (head weight, head width and length) are examined in this
study and the results are presented at Figure 2. The effects ofthe applications made on head quality are different.
For example,the highest head weightisfound to be 423 g atthe 4th week,thelowest head weightis 410 g atthe
heads atthe control group. Head weight values determined at other hormone application times took place in the
same group statistically with the 4th week applications. The highest value of head width was found in the heads
with hormone applications on 4th week. The highest head height is found at the vegetables with hormon
applications on 8th week. The effect of GA3 applications on head length can be explained by the fostering of the
G A’s to the cellsfor growing.
In this study, where the effects of GA3 application times on earliness, productivity and head quality of
A-106 artichoke cultivar is examined, considering all the criteria investigated it can be said that the optimum
G A3 application time isthe 4th week aftertransferring the vegetablesto soil.

Application Time
Control
4.th
6.th
8.th
LSD% 5
Table 1. Effect of GA3 Application Times on

Yield(tonnes/da)
1.12 C
1.88 A
1.64 B
1.58 B
0.18
Yield (tonnes/da) of A-106 Artichoke Cultivar

Application Time
Head Weight (g)
Head Diameter (m m)
Head Lenght m m)
Control
382 B
98.98 C
89.48 C
4.th
423 A
130.28 A
98.74 B
6.th
418 A
122.48 B
112.46 B
8.th
420 A
120.22 B
118.34 A
LSD% 5
22
8.42
6.32
Table 2. Effect of GA3 Application Times on Head Quality of A-106 Artichoke Cultivar

References
Anonymous, 2008. Artichoke-Spring Season. http://www.mmdtkw.org
Basnızkı Y. and E.E. Goldschmıdt, 1994. Further Examination of Gibberelline A3 Effects on Flowering of Globe Artichokes
(Cynara scolymus L.) Under Controlled Environment and Field Conditions. Isr. J. Plant Sci. (42):159-166.
Bianco V.V., 2000. Present situation and future potentials at artichoke in the Mediterranean basin. http://www. area.ba.cnr.it
Calabrese N. And V.V. Bianca, 2000. Effect of Gibberellic Acid on Yeld and Quality of Seed Grown Artichoke (Cynara
cardunculus var. Scolymus (L.) Fiori). Acta Hort. 514:25-32.
Calabrese N., E. De Palma and V.V. Bianca, 2000. Gibberellic acid and earliness of new seed propagated artichoke cultivars
grown for four years (Abstract). IV. International Congress on Artichoke, October 17-21. Valenzanı-Bari, Italy.
Calabrese N., E. DE Palma and V.V. Bianca, 2004. Yields and quality of new commercial seed grown artichoke hybrids
(Abstract). V. International Congress on Artichoke 5-8 may, 2003. Tudela-Navarra, Spain.
Eldin A.S., W.H. Schnitzler, G. Nitz, A.M. Razin and I.I. El-Oksh, 2007. The Effect of Gibberellic Acid (GA3) on Some
Phenolic Substances in Globe Artichoke (Cynara cardunculus var. scolymus (L.) Fiori). Scientia Horticulturae
Volume 111, Issue 4, 16 February 2007, Pages 326-329.
Elia A., N. Calabrese and V.V. Bianco, 1994. Sowing Time, Gibberellic Acid Treatments and Cultivars of “Seed” Propagated
Artichoke. Acta.Hort. 371:347-354.
Ercan N., A.N. Onus, F. Ayar, M. Temirkaynak, A.S. Şensoy and E. Polat, 2004. Determination of optimum GA3
concentrations and awakining irrigation time for globe artichoke (Cynara scolymus L. Cv. Sakız) grown in mediterranean
region of Turkey. V. International Congress on Artichoke 5-8 may, 2003. Tudela-Navarra, Spain.197-203.

76

�1st International Syposium on Sustainable Development, June 9-10 2009, Sarajevo

Foury C., 2003. Common vegetables for
http://gears.tucson.ars.ag.gov. (03.05.2008)

seed and fruit. Chapter: Artichoke or globe artichoke and cardoon.

Gerakis P.A., D. Markain and S. Honma, 1969. Vernalization of Globe Artichoke, Cynara scolymus. J. Amer. Hort. Sci.
94:254-258.
Gil O.R., J.J. Macua and P. Arce, 1993. Differentes ciclos de produccion en variedades de alcacchofa de multiplicacion por
semilla. Agricola Vergel 139 :379-380.
Goreta S., L. Bucan and G. Duminic, 2004. Effect of Environment and Gibberellic Acid (GA3) on Earliness and Yield of
Globe Artichoke. V. International Congress on Artichoke 5-8 may, 2003. Tudela-Navarra, Spain.155-159.
Graifeirberg A., L. Giustiniani, O. Temperini and M. Lipucci Di Paola, 1995. Allocation of Na, Cl, K and Ca within plant
tissues in globe artichoke (Cynara scolymus L.)under saline-sodic conditions. Scientia Horticulturae 63 (1995) 1-10.
Hill, D.E, 2001. Globe artichoke trials 1998, 2000 Management of yield using ınduced or natural vernalization. The
Connecticut Agricultural Experiment Station, New Haven Bulletin 975, may 2001. 7 pages.
Koçer, G. ve B. Eser, 1999. Köklü Dip Sürgünü Özellikleri ve GA3 Uygulamalarının Enginarda Verim Dağılımına Etkileri.
Turkish Journal of Agriculture&amp;Forestry. Türk Tarım ve Ormancılık Dergisi. 23(2): 325-332.
Lanteri S., I. D. Leo, L. Ledda, M.G. Mameli and E. PORTIS, 2001. Rapd variation within and among populations of globe
artichoke cultivar ‘Spinosa Sardo’. Plant Breeding 120, 243-246.
Macua J. I, L. Lahoz, A. Malumbres, J. Garnica, I. Urmeneta and A. Arrondo, 2000. Agricultural Behavior of Two Cardoon
Varieties at Different Planting Dates in Navarra. V International Congress on Artichoke (abst.)
Mauromicale G. and A. Ierna, 1995. Effects of Gibberellic acid and Sowing Date on Harvest Time and Yields of SeedGrown Globe Artichoke (Cynara scolymus L.). Agronomie. 15:527-538.
Mauromicale G. and A. Ierna, 2000. Characteristics of Head of Seed-Grown Globe Artichoke (Cynara cardunculus L. var.
scolymus (L.) Fiori) as effected by Harvest Period, Sowing Date and Gibberellic Acid
Miguel A., J.V. Maroto, B. Iranzo and S. Lopez, 1997. Acido Giberelico en alcachofa. Horticultura, 120:111-113.Agronomie
20: 197-204.
Miguel A., C. Baixauli, J.M. Aguilar, A. Giner, J.V. Maroto, S. Lopez, A San Bautista and B. PASCUAL, 2004. Gibberellic
Acid Concentrations in Seed Propagated Artichoke. V. International Congress on Artichoke 5-8 may, 2003. Tudela-Navarra,
Spain.167-172.
Schrader W.L., 1992. Growth Regulator Effects on Earliness and Yield in Artichokes Grown as Annuals from
Seed.HortScience. 27:643.
Snyder M.J, N.C. Welch and V.E. Rubatzky, 1971. Influence of Gibberellin on Time of Bud Development in Globe
Artichoke. HortScience, 6 (5):484-485.
Stamigna C., G. Pandozy, P. Crino and F. Saccardo, 2001. Male-sterility in Artichoke (Cynara scolymus L.) (Abstract).
Proceedings of the XLV Italian society of Agricultural Genetics SIGA Annual Congress. Salsomaggione Terme, Italy-26/29
September 2001.
Welbaum, G.E., 1994. Annual Culture of Globe Artichoke from Seed in Virginia. HortTechnology. 4 (2(:147-150.

77

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              <elementText elementTextId="25701">
                <text>Effect of Gibberellic Acid Application Times on Earliness and Production  of A-106 Artichoke Cultivar in Antalya Ecologic Conditions</text>
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              <elementText elementTextId="25702">
                <text>Temirkaynak, Meliha
Küçük, Sadettin
Çoskun, Recep</text>
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          <element elementId="94">
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                <text>Artichoke is one of the important vegetable crops in Mediterranean countries  including Turkey. In our country, while artichoke production was undertaken in Đzmir, Bursa  and Yalova until 10 years ago, its area of production has broadened to include southern cities  such as Antalya and Muğla. As early artichoke production, especially in Antalya region, is  profitable for farmers, demand for growing this crop has increased. The present study  investigated the effect of gibberellic acid application times (0, 1, 2, 3 and 4) on earliness and  production of A-106 artichoke cultivar. The plants were grown in West Mediterrrenean  Agricultural Research Institute in 2007-2008. The results show that GA3 applications are very  effective to promote earliness in A-106 cultivar. it</text>
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                    <text>Türk Dilindeki Yabancı Kelimelerin
Türkçe Öğretimine Etkileri
Tarkan Tekten
Uluslararası Tolerans Eğitim Vakfı,
Rusya Devlet Sosyal Bilimler Üniversitesi
Türkçe Öğretmeni, Akademisyen
dunyadili@gmail.com

Özet : Bugün dünya üzerinde konuşulan dillerin hepsi az ya da çok başka bir dil ya da
dillerle ilişki içindedir. Hele Türkçe gibi, zaman bakımından çok eskilere dayanan, zemin
bakımından da çok geniş bir coğrafyaya dağılmış olan bir dilin, başka dillerden etkilenmesi ve
başka dilleri etkilemesi kaçınılmazdır. Türkçe farklı zamanlarda farklı dillerden yabancı
kelimeleri bünyesine katmış ve neredeyse bunlar Türk dilinin bir parçası haline gelmiştir.
Bunların bazıları yüzyıllar süren bir yolculuktan sonra dile yerleşmiş ve Türk dili ile
özdeşleşmiştir (Sarı, 2008). Bu kelimelerin bazıları dil bilgisi yapısına uyarken bazıları da bu
yapıya uymamış ve beraberinde istisnaları da dile sokmuştur. Bu da Türkçenin yabancılara
öğretilmesi hususunda açıklanması güç bazı kurallar şeklinde karşımıza çıkmaktadır.
Türkçe yapı itibariyle dünya dilleri arasında en az istisnaya sahip “matematiksel” dillerden
birisidir. Anlatılması, açıklanması, öğretilmesi, kelime türetilmesi ve yeni kelimeler
oluşturmaya müsait olması sebebiyle örnek gösterilen bir dildir. Ancak karşımıza çıkan yabancı
kökenli kelimeler dilin anlatılması konusunda sıkıntıları da beraberinde getirmektedir.
Aslında Türk dilinde çok fazla yabancı kelime olmasına rağmen bir o kadar da kelimenin
karşılığı Türkçede yer almaktadır. Çözüm yabancı dillerin dil bilgisi yapısını öğrenip istisnai
kuralları yabancı dildeki yapıyla açıklama yerine Türkçedeki karşılıklarını kullanarak bu
sıkıntıyı bir ölçüde azaltma yoluna gidilmelidir.

Anahtar sözcükler, Türk dili, Turkish Language
Bugün dünya üzerinde konuşulan dillerin hepsi az ya da çok başka bir dil ya da dillerle ilişki içindedir. Hele
Türkçe gibi, zaman bakımından çok eskilere dayanan, zemin bakımından da çok geniş bir coğrafyaya dağılmış
olan bir dilin, başka dillerden etkilenmesi ve başka dilleri etkilemesi kaçınılmazdır (Sarı, 2008).. Türkçe farklı
zamanlarda farklı dillerden yabancı kelimeleri bünyesine katmış ve neredeyse bunlar Türk dilinin bir parçası
haline gelmiştir. Bunların bazıları yüzyıllar süren bir yolculuktan sonra dile yerleşmiş ve Türk dili ile
özdeşleşmiştir (Sarı, 2008). Bu kelimelerin bazıları dil bilgisi yapısına uyarken bazıları da bu yapıya uymamış ve
beraberinde istisnaları da dile sokmuştur. Bu da Türkçenin yabancılara öğretilmesi hususunda açıklanması güç
bazı kurallar şeklinde karşımıza çıkmaktadır.
Türkçe yapı itibariyle dünya dilleri arasında en az istisnaya sahip “matematiksel” dillerden birisidir.
Anlatılması, açıklanması, öğretilmesi, kelime türetilmesi ve yeni kelimeler oluşturmaya müsait olması sebebiyle
örnek gösterilen bir dildir. Ancak karşımıza çıkan yabancı kökenli kelimeler dilin anlatılması konusunda
sıkıntıları da beraberinde getirmektedir.
Yabancı dillerin Türkçeyi etkilemesi yalnızca sözcük ve terim girişiyle sınırlı kalmamış, diğer dillerden
alıntıların Türkçenin ses yapısına uydurulmasında da yabancı dillerin ses bilgisi özellikleri baskın olmuştur.
Buna en iyi örnek Türkçeye İngilizceden giren innovation “yenileşim” sözünün inovasyon biçiminde
kullanılmasıdır (Yabancı Sözlere Karşılıklar Kılavuzu, 2008).
Son yıllarda yabancı dilden alıntıların Türkçede özgün yazım ve söyleniş özellikleriyle kullanılması çok
büyük olumsuzluklara yol açmaktadır. Eklemeli bir dil olan Türkçede yabancı kökenli sözlere ekler Türkçe
söylenişe göre getirildiğinde mortgag’a, on-line’ım, hacker’lara gibi tuhaf ve gülünç yazım biçimleri ortaya
çıkmaktadır. Bu da dilimizin kuralsız ve istisnalarla dolu bir dil olduğu görüntüsünü vermektedir (Yabancı
Sözlere Karşılıklar Kılavuzu, 2008). Bu türden sözlerin yer aldığı cümleleri okuyup anlayabilmek için Türkçe
bilmek yeterli olmamakta, o yabancı dilleri bilmek gerekmektedir.
Yabancılara Türkçe öğretiminde kelimenin Türkçe karşılığı kullanılmadığında çeşitli sorunlar ortaya
çıkmaktadır. Bunları genel hatlarıyla şu şekilde sıralayabiliriz.

119

�1-Türkçe veya yabancı kökenli kelimelere yabancı eklerin getirilmesi.
Bunların kök, gövde veya ek olarak açıklanabilmesi mümkün değildir.
Kraliyet
Hürriyet
Serbestiyet
Dostane
Acizane
İlmi
İktisadi
Taraftar
Kafadar
Liberalizm
Turizm
Turist
Realist
2-Yabancı kelimelerin Türkçedeki ünlü uyumuna göre ek almaması.
Kontrolü
Folklore
Refakatçi
Kabulü
Hâller
Kalbim
3-Yazılış ve okunuşlarının farklı olması.
Türk dilinde kelimeler yazıldığı gibi okunur. Bu da dil öğretimini kolaylaştıran önemli bir unsurdur.
Show-Şov
Şarj-Şarz
Blander-Blendır
Cafe-Kafe
Blue Jean- Blucin
Video-Vidyo
Chat- Çet
Check up-Çekap
Solarium-Solaryum
Digiturk-Dijitürk
W.C.-Ve ce
USB-Yu es bi
AİDS-Eydis
4-Yabancı dillerdeki ortak kelimelerin yazılması ve söylenmesindeki hatalar.
Aynı kelimenin bir benzeri öğrencinin kendi dilinde varsa ve okunuşu Türkçeye yakınsa bu kelimeyi kendi
dilindeki şekliyle kabul etmekte ve daha sonra bu hatayı düzeltmesi zor olmaktadır.
Biftek-Bifşteks
Üniversite-Üniversitet
Koridor- Karidor
Enstitü-İnstitüt
Profesör-Profesır
Fakülte-Fakültet
Diploma-Diplom
Sertifika-Sertifikat
Banka-Bank
Radyo-Radio
Televizyon-Televizion
Doktor-Doctor

120

�5-Kalınlık-incelik uyumu.
Yabancı kelimeler Türkçe büyük ünlü uyumuna uymazlar.
Sermaye
Emanet
Adalet
Tatil
Kalem
Kitap
Kontör
Beyaz
6-Tamlamalar.
Türkçede olmayan ve Türkçe açıklaması mümkün olmayan tamlamalar vardır. Bu tamlamaların aldıkları ekler
ve eki alış biçimleri dil bilgisine uyum göstermemektedir.
Sahra-yı Cedit
Kuva-yı Millî
Selman-ı Pak Caddesi
Divan-ı Lugati’t-Türk
Ab-ı hayat
Ruh-ı mücerred
7-Dişilik-erkeklik.
Türkçede yapı itibariyle kelimelerde dişilik ve erkeklik yoktur.
Aktör-Aktris
Host-Hostes
Müdür-Müdire
Masör-Masöz
Muallim-Muallime
Memur-Memure
Prens-Prenses
Kral-Kraliçe
Çar-Çariçe
Patron-Patroniçe
Bakir-Bakire
Rahip-Rahibe
8-Ön ekler.
Türk dilinde pekiştirme sıfatları dışında ön ek görülmez (Ergin,1997). Ancak Türkçenin ek ve kök sırasına
uygun olmayan bazı ön ekler Türkçeye girmiştir.
Bihaber
Biçare
Nahoş
Namalum
Namağlup
Namert
Otokontrol
Antitez
Antidepresyon
Alaturka
Ametal
Asosyal

121

�9- Hece bölmede kuralı zorlayan kelimeler vardır.
Poliklinik
Belgrad
Elektrik
Elektron
Telgraf
Kontrgerilla
Eksper
Ekstra
10- Türkçede iki ünlü yanyana gelmez.
Fuar
Saat
Düet
Aile
Kuaför
İnşaat
Düello
Şefaat
İddia
Faaliyet
11-Türkçede kelimeler iki sessiz harfle başlamaz.
Kral
Tren
Skandal
Standart
Flaş
Protokol
Stüdyo
Stil
Tribün
Grup
Plan
Statü
Slogan
12-Çoğul kelimeler.
Anlam itibariyle çokluk ifade eden kelimeler tekrar çoğul eki alabilmektedir.
Evliya-evliyalar- ermişler
Evlat –evlatlar- çocuklar
Tamirat –tamiratlar- onarımlar
Meşrubat –meşrubatlar- içecekler
Beyanat -beyanatlar -açıklamalar
Gidişat – gidişatlar- durumlar
Yukarıdaki örneklerde de görüldüğü gibi Türkçenin yazımını ve söyleyişini temelinden sarsan bu
olumsuzlukların önüne geçmek için yabancı dillerin dil bilgisi yapısını öğrenip istisnai kuralları yabancı dildeki
yapılarıyla açıklama yerine Türkçedeki karşılıkları kullanılanarak bu sıkıntı bir ölçüde azaltılmalıdır.
Hürriyet kelimesi yerine özgürlük
Dostane kelimesi yerine arkadaşça
Realizm kelimesi yerine gerçekçilik
Haller kelimesi yerine durumlar
Kalbim kelimesi yerine yüreğim
Kontrolü kelimesi yerine denetlemeyi

122

�Show kelimesi yerine gösteri
Şarj kelimesi yerine dolum
Blander kelimesi yerine karıştırıcı kullanılabilir.
Aslında Türk dilinde çok fazla yabancı kelime olmasına rağmen bu kelimelerin birçoğunun Türkçe karşılığı
vardır. Türk dilinin bir parçası haline gelmiş ve henüz Türkçede karşılığı olmayan bazı kelimeler için ise
şimdilik yapacak bir şey yoktur. Dilin kurallarına uygun yeni kelimeler oluşturulup halk tarafından kabul
edilinceye kadar eksi ve artılarıyla bu kelimeler dilimizde misafir olarak kalacaklardır.
Bununla birlikte Türkçeleşmiş bazı yabancı kelimelerin dilimizden çıkarılıp atılması mümkün değildir. Çünkü
Türk dili ve edebiyatı tarihi boyunca söz konusu bu kelimeler -Türkçe karşılıklarıyla- beraber asırlarca seyahat
etmişlerdir.

Kaynaklar:
Ergin, Muharrem (1997) Üniversiteler İçin Türk Dili,Bayrak Yayınları İstanbul s. 159
Sarı, Mustafa (2008) Türkçenin Batı Dilleriyle İlişkisi, TDK yayınları Ankara s. 3, 13, 14
Yabancı Sözlere Karşılıklar Kılavuzu (2008) TDK yayınları Ankara 2008 s. 6, 7, 9

123

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                <text>Bugün dünya üzerinde konuşulan dillerin hepsi az ya da çok başka bir dil ya da  dillerle ilişki içindedir. Hele Türkçe gibi, zaman bakımından çok eskilere dayanan, zemin  bakımından da çok geniş bir coğrafyaya dağılmış olan bir dilin, başka dillerden etkilenmesi ve  başka dilleri etkilemesi kaçınılmazdır. Türkçe farklı zamanlarda farklı dillerden yabancı  kelimeleri bünyesine katmış ve neredeyse bunlar Türk dilinin bir parçası haline gelmiştir.  Bunların bazıları yüzyıllar süren bir yolculuktan sonra dile yerleşmiş ve Türk dili ile  özdeşleşmiştir (Sarı, 2008). Bu kelimelerin bazıları dil bilgisi yapısına uyarken bazıları da bu  yapıya uymamış ve beraberinde istisnaları da dile sokmuştur. Bu da Türkçenin yabancılara  öğretilmesi hususunda açıklanması güç bazı kurallar şeklinde karşımıza çıkmaktadır.       Türkçe yapı itibariyle dünya dilleri arasında en az istisnaya sahip “matematiksel” dillerden  birisidir. Anlatılması, açıklanması, öğretilmesi, kelime türetilmesi ve yeni kelimeler  oluşturmaya müsait olması sebebiyle örnek gösterilen bir dildir. Ancak karşımıza çıkan yabancı  kökenli kelimeler dilin anlatılması konusunda sıkıntıları da beraberinde getirmektedir.      Aslında Türk dilinde çok fazla yabancı kelime olmasına rağmen bir o kadar da kelimenin  karşılığı Türkçede yer almaktadır. Çözüm yabancı dillerin dil bilgisi yapısını öğrenip istisnai  kuralları yabancı dildeki yapıyla açıklama yerine Türkçedeki karşılıklarını kullanarak bu  sıkıntıyı bir ölçüde azaltma yoluna gidilmelidir.</text>
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                    <text>The Use of Asphaltites in the Landfill Layer
Lemi Tufan Taşpolat
Bilecik University VocationalHigh School,
Department of Building Technology, Bilecik
Hasan Yamik
Bilecik University Engineering Faculty,
Department of Mechanical Engineering, Bilecik
Mesut Kaplan
Bilecik University VocationalHigh School,
Department of Food Technology, Bilecik

Abstract:The waste materials emerged in developing cities should be disposed without
damage to environment. Landfills must properly be designed and well managed. Recently,
some waste materials were began to be used with clay in landfill layer design. This process
was positive effects on environment by means of recycling, regains to economy and reducing
environmental pollutions. In this study, asphaltite dust was added at ratio of 5%, 10% and 15%
to mixture of 90% kaolinite and 10% bentonite by weight. Geotechnic, physical and chemical
experiments were carried out on the samples. The experiment results were in acceptable limits
with the literature, United States Environmental Protection Agency and the Turkish solid
waste regulations. As a result, the asphaltite can be used as an additive material in landfills.

Introduction
In recent years,as a result of condensation ofthe world's population in cities and increasing consumption,
the waste management (collection, transport, processing, waste treatment, recycling or disposal of waste
materials)is becoming a serious problem. The increasing of production and consumption resultsin the increase
of amount of waste. In the developing countries, distinct rules of waste disposing is initiated to prevent the
environment pollution. However, many technologies are developed for the recycling of wastes, many of then
cannot be recycled by the economical and technological points of view. The collected wastes can be burned
and/or composted by newly developed technologies, however, a final amount of trashes must be stored for the
lastremoval procedure.
In the regular landfill areas, highly polluted garbage water leaks and reaches to the bottom layer. This
leakage water can diffuseto ground and surface water. For avoiding this diffusion, clay layers are supposed to be
constructed as a bottom liner. The waste materials should be covered to isolate from surrounding environment
and humans and to prevent leakage of rain water to landfill. Some properties are required for this impermeable
clay barriers; ie; resistance to environmental effects, lower permeability, higher ductility to prevent crack
formation, chemical stability, prevention capability of contaminants by diffusion of similar mechanism
(Taşpolat, 2006).
In the landfilllayers, utilization of suitable materials and possibly waste mixture material are important
to block the heavy metal diffusion in garbage water. By this way,the waste materials,such as fly ash, would be
gained to economy.
Severalresearchers have studied the usage potential of fly ash in the clay layer as a hydraulic barrier.In
these studies,itis seen thatthe fly ash can be used for leakages having alkalin character (Edil and Berthouex,
1990; Palmer et al, 2000; Prashanth et al, 2001; Kalkan and Akbulut, 2004). Zeolite-Bentonite mixture was also
used as an altenative material.In these mixtures,the proportion of bentoniteto zeolite between 0,05 to 0,20 was
obtained as a suitable mixtures. The cation exchange capacity and lower permeability values of the zeolite and
bentonite have shown that itcould be used in clay layers (Kayabalı et al, 1997; Tuncan et al, 2003; Kaya and
Durukan, 2003).
Besides natural materials, the petroleum based geomembranes can also be used widely as a hydraulic
barrier. The using of impermeable geomenbranes have been allowing to build thinner clay layer. In this case,
the thin layer should be carefully applied in orderto preventthe tearing and puncturing.
In this study, usability of asphaltite dustin the impermeable layer was investigated. For thisreason,three
mixture of soilto asphaltite dust(the proportions were 5,10,15% dustto dry soil by weight) have been prepared.
The following tests are carried out on the samples taken from the mixtures: Index properties of the specimens
416

�were determined by liquid limit test, plastic limit test, shrinkage test, sieve test, hydrometer test and buoyancy
analysis tests. Mechanical properties of the specimens were determined by standard proctor test, permeability
test, unconfined compression test and UU triaxialtest. Finally, physicochemical properties such as pH, EC, CEC
were determined by chemicaltests.

Materials And Method
M aterials
Na Bentonite Clay
Bentoniteis a colloidal aluminium hydrosilicate. The volume of bentonite can rise 10 to 30 times by the
addition of water. It has a swelling characteristic till 200ºC. This property loses completely over 600ºC. The
vertical permeability of bentonite clay is 4,09x10-10 cm/s and the lateral swelling pressure of bentonite clay is
4,48 kg/cm2 (Mining SpecialExpert commission 2001). The bentonite clay used in this study is Na-Bentonite.It
was supplied from the Karakaya Bentonite factory, Ankara (Tuerkey). Some physicochemical and geotechnic
parameters of Na Bentonite clay were shown in table 2.1, the amount of total metal is shown in table 2.2, the
results of chemical analysis determined by the X-Ray Flourans Elemental analysis are shown in table 2.3
(Koyuncu 1998).

Kaolinite Clay
Kaolinite clay is a product of a type of rock which contains a great amount of feldspar. Kaolinite consists
of silica and aluminium layers. The thickness of layers are 7.2 Å, the length of layers are between1000 and
20000 Å and the specific surface area is(SSA) 15m2/g.
The clay used in this study is obtained from the Bilecik district. The clay is produced by a three step
procedure; first excavation from clay ores,then cleaning from fine sand by water washing and, finally crashing
below 40 µ m At the end of washing, groups of clay and shale are completely decomposed. The 80 % ofthis clay
consist of kaolinite mineral.
Some physicochemical and geotechnical parameters of the kaolinite clay are shown in table 2.1, the
amounts oftotal metal are shown in table 2.2 the results of chemical analysis determined by the X-Ray Flourans
Elemental analysis are shown intable 2.3(Koyuncu 1998).

Asphaltite
Asphaltite, one of the primary energy sources, was assumed that it is a fossil fuel. While amount of
oxygen is 3-44% in turba, lignite and coal,itis thought that asphaltite materials have formed as a result of oil
transformation, duo to its amount of oxygen (2%).
During transformation, asphaltite comes out after natural asphaltits coloris bright black or matt black.Its
hardness varies between 2 and 3, specific gravity varies 1.03 and 1.20 and itsthermal value varies between 10
and 23 Mj/kg.Itcontains 10 to 55% constant carbon, 0 to 2% oxygen and from a dribletto 5% mineral material.
It melts between 120-135o C and solubility of asphaltitein carbon sulphide is between 45% and 100% (Nakoman
1997).
Other physicochemical and geotechnical parameters, the amount of total metal, the results of chemical
analysis determined by the X-Ray Flourans Elemental analysis are given in tables 2.1, 2.2 and 2.3 respectively
(Koyuncu 1998).
At the beginning;the asphaltites were used in production of dye and some chemical materials. After 1920,
they has been also used for production of asphalt. Lately,itis used in production of synthetic petroleum.

In addition, it is used in production of ammonia after gasifying. Asphaltite materials are also
important because of valuable minerals (nickel, molybdenum, vanadium, titanium and uranium) in
its contents. Asphaltites can also be used in production of energy by direct burning (Atlaş et al, 1994a).In figure
2.1, asphaltite coal and waste of asphaltite dust used in energy sector are shown.

Additions

pH

CEC

EC

SM NSA GSW UVW

Grain Size Distribution (%)

417

�Silt

clay

Cu

Cc

Na-Bentonite 9.50
90.22
2.69
12.7 6.82 2.76 0.94
2
46
Kaolinite
4.86
25.93
0.15
0.1 7.36 2.64 0.59
11
26
Asphaltite 8.37
4.73
0.14
0.54 1.61 2.66 0.34
------CEC:Cation Exchange Capacity, EC:Electrical Contuctivity,WC:Water Content,
OSA:Organic Substance Amount, GSG:Grain Specific gravity,UVW:Unit Volume Weight

(meq/100g)

(mS/cm)

(%)

(%)

(gr/l)

Sand

52
63
----

40
170
----

0.8
1.7
----

Table 2.1: Some physicochemical properties of materials used in the study.
Additions
Al
As Cu
Na-Bentonite 90262 &lt;5 81
Kaolinite 123750 &lt;5 280
Asphaltite
671 &lt;5 66

Zn
Fe
Cd
Ca
71 10724 &lt;0.5 12134
52 7550 &lt;0.5 770
35 1650 &lt;0.5 27761

Co
21
22
22

Pb Cr Mg Mn Mo
91
9 6815 2419 92
136 405 1230 870 10
63
6 6034 258 73

Ni
Na
K
7 16920 2558
280 3000 6000
88 5022 579

Table.2.2: Total metal amounts of materials (mg/kg).
Additions
Na-Bentonite
Kaolinite
Asphaltite

SiO2
59.49
51.52
58.05

Al2O3
18.06
32.00
0.60

Fe2O3
4.14
1.75
0.33

CaO MgO P2O3
3.72 2.42 0.11
0.20 0.20
0.70 34.79 0.00

K2O Na2O SO3
Cl Mn2O3
0.91 2.50 0.10 0.003 ---0.50 0.09
0.004 0.04
0.00 0.03 0.04 0.000 ----

HL
8.02
9.60
5.32

CO2
1.31
1.03
4.84

DW
----------

HL:Heating loss,DW:Dependent Water

Table 2.3: Chemical compound determined by X-Ray elemantal analysis of materials used in the study

Figure 2.1:. Asphaltite coal and waste asphaltite dust used in energy production

Experimental Study
Impermeable clay layer was prepared by 90% kaolinite and 10% bentonite mixture by dry weight This
mixture was named as control specimen - 90K+10B. Then, the asphaltite dust was added to the mixture at ratio
of 5%, 10% and 15%. Specimens were prepared with compaction in a standard proctor mold by using optimum
water contents for every mixture.
The sharpened brass pipe whose diameter is 38mm and heightis 203m m was used for taking specimens
from the compaction mold. From the pipe,the specimens with 37 mm diameter and 74 mm height were obtained.
Several experiments are carried out on these samples to determine the geotechnical, physical, physicochemical
properties and, environmentalimpacts.

Geotechnical Properties
The AST M D854-2000 test was used forthe determination of specific gravity. For consistency limits, BS
1377 Part 2: 1990: 4.3 and 5.4 were applied for the liquid limittest and plastic limittests respectively. For the
liquid limit test,the cone penetrometer method was utilized. The shrinkage limit test was applied according to
the AST M D427 1998 standard. The grain size distribution was also determined according to the AST M
standards.
Generally,the soil classification study is carried out as a last geotechnical examination. For this purpose,
418

�there are two standards, namely; USCS (Unified Soil Classification System) and A ASHTO (American
Association of State Highway and Transportation Office).In this study the both method are utilized for
determination of soil class. The soil classification, specific gravity and consistency limits are given in table 2.4.
The curves of grain size distribution were also given in figure 2.2.

PARA METERS

USCS

A ASHTO Specific
Gravity

Consistency Limits (%)

Liquid
Plastic Shrinkage Plasticity
limit
limit
limit
index
Control(90K10B)
CH
A-7-5(9) 2,64
50,97
32,38
1,75%
18,59
90K10B +5% Asp.
CH
A-7-5(12) 2,63
50,44
32,40
1,42%
23,66
90K10B +10% Asp. CH-CL A-7-5(10) 2,59
50,26
32,62
1,25%
26,11
90K10B +15% Asp.
CL
A-7-5(9)
2,55
49,01
32,80
1,35%
30,45
Table 2.4: Soil classifications ofthe mixtures,specific gravity and consistency limit values.

Figure 2.2: Grain size distrubution curves

Mechanical Properties
In this study the standard proctor test was applied to the mixtures by using AST M D 698-78 and the
relation between water contents and dry unit volume weight was observed. The other mechanical test in this
study is permeability. “Saturated Hydraulic Conductivity, Saturated Leachate Conductivity, and Intrinsic
Permeability”,indicated in USEPA Method 9100 (1986) was used in thistest. The results of tests are shown in
table 2.5 The triaxial UU test was done under 100 kPa and 200 kPa surrounding pressure in accordance with
method suggested in Turkish Standard No1900. The unconfined compression test was also used in triaxial UU
test method but the only difference is the absence of cell pressure. The results of triaxial UU test and the
unconfined compression test are shown in figure 2.3 and 2.4 respectively.

PARA METERS
Control(90K10B)
90K10B +5% Asf.
90K10B +10% Asf.
90K10B +15% Asf.

The result of compaction
opt. water content%
22,72
22,61
22,46
22,35

Permeability m/s
1.2 x 10-9
1.4 x 10-9
1.5 x 10-9
1.8 x 10-9

Table 2.5: Optimum water contents and permeability results

419

�400
0%

Pressure (kPa)

380

5%
10%

360

15%

340
320
300
280
260
240
0

10

20

30

Cure time (Day)

Figure 2.3: Strenght vs cure time in triaxial UU test.
180

Pressure (kPa)

160
0
5%
10%
15%

140

120

100
80

60
0

10
20
Cure tim e (Day)

30

Figure 2.4: Strenght vs cure time in unconfined compression test.

Physicochemical Properties
Physicochemical properties of materials are also extremely important for permeability. Therefore, pH,
cation exchange capacity(CEC), electricalconductivity(EC) and the amount of organic materialare also studied
forthe conclusion at usability of the studied material.
U.S. EPA Method 9045 (1986) was used for of pH test. For comparison, pH values of the same mixtures
were remeasured one day later. This measurement is similarto the technique suggested by Jackson(1958). The
sodium saturation method was used for CEC. EC of specimens were determined by sinking electrode into the
mixture (Wilcox1946; Karakouzian et al. 1996). The amount of organic materialin the mixture was determined
by dry-burn method (Standard Methods 1993, Horneck et al.1989).
The results are shown in table 2.6. Leachatetestis done for the physicochemicalresults and itisshown in
table 2.7.

420

�Materialas

pH

Control(90K10B)
90K10B +5% Asp.
90K10B +10% Asp.
90K10B +15% Asp.

8,9
8,2
8,2
7,9

EC
(mS/cm)
1171
1420
1674
1765

CEC
(meq/100g)
13,44
16,33
17,90
17,18

O.E.M
(%)
0,1
7,9
9,9
10

Table 2.6: Physicochemical properties ofthe mixtures.

Cu
Zn
Ni
Pb
(ppm)
(ppm)
(ppm)
(ppm)
Control(90K10B)
22,25
20,50
20,00
21,25
90K10B +5% Asp.
0.25
0,25
0,00
0,00
90K10B +10% Asp.
0,25
0,25
0,00
0,00
90K10B +15% Asp.
0,25
0,25
0,00
0,00
Table 2.7: Results ofthe leachate experiment ofthe mixtures.
Materials

The properties belong to environmental conditions
The effect of environmental conditions is another factor on the permeability of mixtures In order to
determine thesebehavoir; freezing and thawing strength was determined according to “Methods for Freezingand-Thawing Tests of Compacted Soil-Cement Mixtures” indicated in AST M D560-82 (1985) and results are
given in table 2.8.
Initial water contents
The number of cycle
Grain loss (%)
(%)
Control(90K10B)
25
12
17,6
90K10B +5% Asf.
25
12
19,9
90K10B +10% Asf.
25
12
23,8
90K10B +15% Asf.
25
12
25,2
Table 2.8: Freezing-Thawing experiment results of asphaltite powder mixtures.
Materials

Discussion
Plasticity index values of all specimens used in this study are between 16 and 19. These values are
appropriateto Ip &lt; 50 criterion determined forlandfilllayers studied by Daniel and Wu,1993. Itis observed that
the materials are CH and CL class according to USCS. However a variation was observed from higher (CH)
plasticity clay to lower plasticity clay (CL) asthe amount of asphaltiteinthe mixtures has increased. This shows
that CH, CL and MH type of soil can be used in landfilllayers.
It was declared that the acceptable maximum volume shrinkage ratio was 4% for landfilllayers (Daniel
and Wu, 1993, Kleppe and Olson, 1984). Volume shrinkage ratios is measured between 1,25%-1,75% in this
study. On the other hand, the specific gravity measured for samples is 2,55 at minimum and 2.63 at maximum.
These values are between 2,5-2,7 ranges observed in previous studies (Yong-Weidth, 1985, Benson 1994).
The optimum water content values ofthe samples are around 22%. The solid waste regulationsis declared
that the optimum water contents must be between 20 and 40%. When the amount of dissolved saltin water in
soilincreases, EC also increases. The maximum EC obtained is 1765 mS/cm. In previous studies,itis declared
that EC&lt;4000 mS/cm is a reasonable value (Tuncan et al,1996). When the saltinthe soilis dissolved in water,it
causes an increase in the permeability. The permeability values of samples are between 1,2x10-9 and 1,8x10-9
m/s. The highest permeability value indicated by USEPA is 10-8 m/s. On the other hand, the amount of organic
materialinthe mixture has increased as the amount of asphaltitefrom 0,1% to 7,9% increased. Organic material
increase makes increasing influence on permeability.It was confirmed by testresults.
On examining CEC behavior of samples,it was seen thatithasincreased from 13,44% to 17,90%. Higher
CEC value willreduce heavy metal pollution in leakage water. Furthermore, higher CEC means higher potential
421

�of expansion which is another criterion of permeability. The results of Leachate test were shown that the
asphaltite dust added mixtures was absorbed Cu, Pb, Zn and Ni excellently. As can be seen from table 2.7,these
values are reduced from 22,25 ppm to 0,25 and 0.
The unconfined compression test and triaxialtestresults ofthe samples were shown that asphaltite has no
positiveinfluence on strength values. Depending on curetime and amount of additives,some decline was seen in
strength values. Finally, afterfreezing and thawing test consisting oftotally 12 cycles,it was seen that grain loss
has increased with asphaltite increase. It has increased from 17.6% to 25,2% at the end of 12 cycles. It can be
declared thatthe grain losses can make negative influence to the strength values oflayers.

Conclusions
It was determined that the usage of asphaltite dust has reasonable criteria as additive materials in the
kaolinite-bentonite mixture landfilllayers asthe results are comparable with criteriain the literature and Turkish
solid waste municipial regulations. The usage of asphaltite will also influence the environment by means of
recycle of waste material.
In future, studies with asphaltite dust,itis suggested thatincreasing addition ratio, considering solutions
in orderto see heat effects,repetition experiments atlow and high temperature,researching mixtures which will
be composed with only kaolinite or only natural clays.

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Wılcox, J. C., 1946, Determination Of Electrical Conductivity Of Soil Solution, Science Agronomy. 32, pp107-117.
Karakouzian, M., Pıtchford, A., Leonard M. And Johnson, B., 1996, Measurement of Soluble Salt Contend of Soils From
Arid And Semi-Arid Regions, Geotechnical Testing Journal, GTJODJ, 19,4, December, pp364-372.
Horneck, D.A., Hart, J.M., Topper, K., and Koepsell, B., 1989, Methods of Soil Analysis Used in The Soil Testing
Laboratory At Oregon State University. SM 89:4-16. Agricultural Experiment Station, Oregon State University, U.S.A.
Tuncan, A., Tuncan, M., Koyuncu, H., 1996, Applied Research of Physical and Chemical Effects of Pollution Produced by
Petroleum Boring Wastes in Soil, TUBITAK Project, KTÇAG-136, p194.(in Turkish).

423

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                <text>The waste materials emerged in developing cities should be disposed without  damage to environment. Landfills must properly be designed and well managed. Recently,  some waste materials were began to be used with clay in landfill layer design. This process  was positive effects on environment by means of recycling, regains to economy and reducing  environmental pollutions. In this study, asphaltite dust was added at ratio of 5%, 10% and 15%  to mixture of 90% kaolinite and 10% bentonite by weight. Geotechnic, physical and chemical  experiments were carried out on the samples. The experiment results were in acceptable limits  with the literature, United States Environmental Protection Agency and the Turkish solid  waste regulations. As a result, the asphaltite can be used as an additive material in landfills.</text>
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                    <text>1st International Syposium on Sustainable Development, June 9-10 2009, Sarajevo

Local Forage Ecotypes and Their Importance in Turkey
M ustafa Tan
Atatürk University Faculty ofAgriculture
Department of Field Crops,
Erzurum-TURKEY
mustan@atauni.edu.tr
Zeynep Dumlu
Atatürk University Faculty ofAgriculture
Department of Field Crops,
Erzurum-TURKEY

Abstract: Although not convenient for the modern agriculture, local ecotypes are of
importance for being breeding materials since their genetic variations are diverse. Turkey is a
rich country in the number of forage ecotypes. Cultivation history of especially alfalfa,
common vetch, sainfoin, forage pea, chickling vetch and bitter vetch dates back to very
ancient times. However, these genotypes are facing to extinct today and their importance has
begun to be realized in the respect of sustainable and organic crop yielding as well as due to
the increased global warming and water shortage threats. This paper was prepared to
summarize some information about local forage ecotypes in Turkey and to mention about
their importance.

Introduction
Forms which have been grown forlong periodsin a certain area and gained characteristics unique to them
are termed to be local ecotypes. These forms can also be called local populations or ecotypes and have adapted
to the ecology of the area where they are grown. Their yielding may be low because of undeveloped genetic
capacity; however,their resistance to disease and harmful insects and adaptation ability are considerably high.
Local ecotypes are plant forms which are prevalentin the areas where they are grown; their culture can go back
to very ancienttimes and they can be formed by the mixtures of differenttypes (Açıkgöz 2001).
Local ecotypes representthe genetic diversity of a country together with wild species. However, with the
development of high yielding bred cultivars local species have losttheir significance and have faced extinction
threat in many regions all over the world. This threat is so big that today local ecotypes of several vitally
important plants,such as wheat,are beginning to disappear. With the green revolution,they were largely eroded
being replaced with the newly developed cultural species in the countries e.g. India, Pakistan, Iran and Iraq.
Local species are not convenient for modern agriculture. They can not pass maturity stage timely and their
yielding capacity islow. (Tosun et al. 1978) found in their study, where they carried out experiments over local
alfalfa ecotypestaken from Erzurum, Ağrı and Kayseriand the cultivars with foreign origin thatforeign cultivars
had 30 % more yielding rate than the ecotypes. Today, developed plant breeding techniques have shown their
effects on local species adversely and caused these genotypes to extinct. However, these forms whose
significance will certainly be realized in the future should absolutely be conserved. Perhaps,there may be a time
inthe future when plant breeder will back to native species and local populations will be needed to regain genes
carrying some plant characteristics which have been lost. There are already a number of bred cultural species
forms from local ones.In bred species, genetic variation istoo uniform to develop new varieties.
Conservation of local plantsis beginning to gain importance today. However,there is a great controversy
on how this effort can be achieved. Regional genetic materials in many countries have been taken under
conservation through gene banks. Although this method is costly and time consuming,itguarantees the success.
Under the control of gene banks, local species can be conserved and they are sometimes planted in order to
maintain their vitality. In addition to conservational aims, these registered genotypes can easily be sent to
differentregions in orderto perform various aims (Şengül 2009).
Another way to conserve local genotypes is to take these species under protection where they are grown
and to encourage their cultivation. Such efforts are carried out for both plant and animal materials in the
countries where they are cultured.
1

�1st International Syposium on Sustainable Development, June 9-10 2009, Sarajevo

Livestock breeding is an important occupancy in many parts of Turkey. Cultivation of forage species has
gained importance in the areas where livestock breeding is extensive. However, the number of forage species
under cultivation is not much. The most cultivated forage species in Turkey is alfalfa (Medicago sativa L.),
which is followed by common vetch (Vicia sativa L.), sainfoin (Onobrychis sativa L.) and silage maize (Zea
mays L.). In addition to these species, cultivation of bitter vetch (Vicia ervilia L. Willd.), chickling vetch
(Lathyrus sp.), fodder beet (Beta vulgaris var. rapa), Hungarian vetch (Vicia pannonica Crantz.), sorghum
(Sorghum sp.) and red clover (Trifolium pratense L.) species are performed to a lesser degree. Majority of these
forage species are bred species and in especially the western part of the country, where developed agricultural
and livestock techniques are applied, almost all ofthese species are bred forms. Local species are more prevalent
in mountainous areas of Black Sea, Middle Anatolia and Southeast Anatolia regions, where mechanised
cultivation techniques areless developed.In the following parts ofthe paper summarized information tried to be
given aboutthese local ecotypes.

Alfalfa (Medicago sativa L.)
Local alfalfa ecotypes in Turkey are divided into four categories; Eastern Anatolia (including Erzurum,
Ağrı and Van), Kayseri, Karaağaç and Bayındır. Local alfalfa speciesin Turkey arethe forms whose rosettes are
horizontal in autumn (Gençkan 1983). Eastern Anatolia ecotype can develop semi-horizontally and is
considerably resistant to both cold and arid conditions. Stems are thin and branched abundantly. Its leaves are
narrow and like a long spear. Its flower colour is dark purplish (Elçi 2005). Eastern Anatolia alfalfa begins
growing in spring late and endsits growth earlyin entering winter.Itcan be cuttwice orthricein one season and
it gives the highest yielding rate atthe first cutting.It has a very large longevity and can yield crop for 20 to 30
years. A new alfalfa variety, Savaş, which is more suitable to be grown in the region, has been derived from
these local ecotypes through selection.(Şengül 2003) reported in his study on the genotypes of Eastern Anatolia
alfalfathatits plant characteristics have greatly changed.
Local alfalfa ecotypes of Kayseri and Karaağaç are the forms which can develop vertically and
conveniently to the conditions of Middle Anatolia. Flower colour of Kayseri population is brighter than that of
Eastern Anatolia alfalfa.Its development stages can require long vegetation period. Kayseri ecotype is sensitive
to leave disease and its regeneration is slower and they are not uniform. This ecotype is more prevalent in
Middle Anatolia and its passage regions. Kayseri and Karaağaç alfalfa ecotypes have long life-span,though not
longer than that of Eastern Anatolia ecotypes (Soya et al. 1997).
Local alfalfa ecotype of Turkey, which is convenient to country’s coastal regions, is Bayındır. It is
prevalent in the west of Anatolia and Aegean Region. It has a long development period and can be cut many
times.Itslongevity is shorterthan that of other ecotypes.

Sainfoin (Onobrychis sativa L.)
Sainfoin is an important forage species which can widely grow in the arid regions of Turkey. It is
cultivated in the Middle and especially the Eastern parts of Anatolia and their local populations are given the
names ofthe cities, wherethey are grown. The cities of Erzincan, Kars, Ağrı, Van, Erzurum and Ardahan are the
places where sainfoin is grown much. Com mon name for allofthese speciesis Erzincan ecotype. The reason for
local sainfoin ecotypes to grow more widely in Eastern regions of Turkey is that Eastern Anatolia region is
included in the genetic source areas of Onobrychis species. This species is considerably resistant to aridity and
cold conditions. It can be cut once or twice depending on the seasonal rainfall. Life-span of this vertically
growing ecotype is 4 to 6 years. Its growth is slower in the sowing year and in this period it develops only
rosettes and can sometimes form flowers. Flower corollas are pink.

Common Vetch (Vicia sativa L.)
Com mon vetch is among the species grown for both its hay and seeds in Turkey since ancient times.
Therefore, Anatolia has local common vetch forms almostin allregions. However,these local plants have been
eroded from their cultivated areas, in especially the western parts, where modern cultivation techniques are
employed. Local common vetch populations are more prevalentin the Eastern part ofthe country. As is known,
origin of common vetch is Southwest Asia and Mediterranean Region, which is why itslocal ecotypes have been
very wide in the country since very early times.
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�1st International Syposium on Sustainable Development, June 9-10 2009, Sarajevo

Plant and seed characteristics of local common vetch species can show great diversity. Plant forms are
generally climbing;it has smallleaves with tendril. Flower colour is pink, violent or yellowish-green or brown.
Its seeds are round-like and flat like a lentil; colours of seeds can be grey, yellowish, brown or black. Many of
the cultured species have been bred form these local species through selection. According to (Gençkan 1983),
common vetches cultivated in Turkey have been derived from the subspecies of Vicia sativa subsp. obovata. It
was also reported that forms of these subspecies are grown in both Anatolia and Thrace (Uluocak 1984).
(Açıkgöz 2001) stated that com mon vetches have been grown in Anatolian soils since very ancient times and
seeds ofthis species were encountered in the excavations belonging to 5000 to 7000 B.C.
(Avcı 1994) found in his study, where he used four bred com mon vetch species,two lines and six local
ecotypes taken from eastern parts of Turkey, that weight of 1000 seed was lower in local ecotypes than that of
bred genotypes and length of maturity stages was largerinthe formerthan latter while some local ecotypes could
give equal hay and seed yielding with bred forms.

Bitter Vetch (Vicia ervilia Willd.)
Cultivation of this plantin Turkey goes back to 5000 to 6000 B.C. Itis a short(20 to 40 cm length) and
vertically developing species and very resistant to arid conditions. Its flowers are whitish yellow and seeds are
brown. They are grown to produce grain feed. Bitter vetch is cultivated in Aegean, Mediterranean, Middle and
Southeast Anatolia Regions of Turkey. Itis very difficultto harvest this species mechanically since it is short
and it has lower pod very close to the ground. Therefore, seeds have to be picked up manually. This difficulty
causes the cultivation this speciesto reduce consistently. Forinstance, during 1970s this species was sown in an
area of 70.000 ha, however,thisrate was reduced to 2.000 ha in 2000s.
In orderto prevent bitter vetch cultivation form disappearance, Ankara University Agriculture Faculty has
begun to conduct studies. Local bitter vetch samples collected from allregions of Turkey were characterised and
taken under protection. Form these collected populations, lines and varieties that are more yielding and
convenientto machinery cultivation were developed (Ekiz &amp; Özkaynak 1984).

Chickling Vetch (Lathyrus sativus L.)
It is a species which began to be grown in Turkey in early ages. Stems are clearly flanked (angled).
Leaves have 1 or 2 leaflets and long tendrils; and are spear-like in shape. Flowers are whitish-blue. This species
is grown locallyinthe mountainous areasin Southeast Anatoliaregion of Turkey to produce grains or hay. Seeds
of local species are greyish. It is known with the local name cılban where it is cultivated in Turkey. It is L.
sativus species that is cultivated the most,though hairy vetch (L. hirsitus L.) is grown relatively low (Uluocak
1984). Local species of this plant have been collected and studies began to be carried out to develop culture
species from these collected forms (Karadağ 1999). Total sowing area of this species is 600 ha in statistics in
Turkey (Anonymous 2005).

Forage Pea (Pisum arvense L.)
This speciesis a forage plant grown mostly forits seeds.Itis an annual; 40 to 80 cm height and climbing
stems; broad leaved; and with dark flowers and seeds. Local ecotypes of forage pea are known with the local
name of külür in the Northeast of Turkey. These populations are extensively grown in the eastern Anatolian
cities of Bayburt, Kars and especially Ardahan. Since it prefers humid and cool climatic conditions, it is
cultivated more in the mentioned region. Cultivation oflocalforage pea ecotypes decreases consistently.It has a
sowing area of nearly 3.800 ha (Anonymous 2005). The largest difference oflocal ecotypes from cultured forms
isthatlocal ones have dark flowers and seeds.Itsflowers and seeds are violetin colour.In orderto protectlocal
ecotypes ofthis plantin Turkey,(Tan et al. 2009) began to conduct studies.In the scope of these studies,totally
61 genotypes collected from north-eastern Anatolia were taken under conservation and theircharacteristics were
defined and registered. In addition it was found as the consequence of these studies that hay and seed yielding
rates of local forage pea ecotypes were 270 to 854 kg/da and 51 to 254 kg/da respectively. Since its genetic
variation is very high, lengths of plant and its development period and lodge degree of the materials are very
different.

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�1st International Syposium on Sustainable Development, June 9-10 2009, Sarajevo

References
Açıkgöz, E. (2001). Forage Plants. Uludağ Univ. Güçlendirme Vakfı Publication No: 182. Bursa, Turkey.
Anonymous (2005). Statistics of Agriculture-2005. T.C. Prime Ministry Statistic Institution, Ankara, Turkey.
Avcı, M. (1994). A study on the yield and adaptation of species, lines, and populations of some common vetch. Atatürk Univ.
Agriculture Fac., Natural and Applied Sciences Institution, Department of Field Crops, Ms. Thesis, Erzurum, Turkey.
Ekiz, H. &amp; Özkaynak, I. (1984). A study on the important morphologic, biologic and cultural characteristics of bitter vetch
(Vicia ervilia (L.) Willd.) grown in Turkey. Ankara Univ. Natural and Applied Sciences Institution Publication No: TB. 5,
Ankara, Turkey.
Elçi, Ş. (2005). Legume and Grass Forages. T.C. Ministry of Agriculture and Rural Affairs, Ankara, Turkey, 486 p.
Gençkan, S. (1983). Cultivation of Forages. Aegean Univ. Publication. Bornova, Đzmir, Turkey.
Karadağ, Y. (1999). A study on the sitologic, morphologic, biologic and cultural characteristics of some chickling vetch
(Lathyrus sp) lines. GOPU, Natural and Applied Sciences Institution. Ph.D. Thesis, Tokat, Turkey.
Şengül,S., Tahtacıoğlu, L. &amp; Mermer, A. (2003). Determination of the species and lines of alfalfa (Medicago sativa L)
convenient to the conditions in Eastern Anatolia Region. Journal of Atatürk Univ. Agriculture Fac., 34 (4), 321-325,
Erzurum, Turkey.
Şengül, S. (2009). A study on the determination of some morphologic characteristics of alfalfa ecotypes collected from
different parts of Turkey. Journal of Alınteri, Atatürk Univ. Agriculture Fac. Erzurum, Turkey (in press).
Soya, H., Avcıoğlu, R. &amp; Geren H. (1997). Forages. Hasad Publication, Istanbul, 223 p.
Tan, M., Koç, A., Çomaklı, B. &amp; Elkoca, E. (2009). Development of hay and seed type lines from field pea populations
grown in some cities of East Anatolia. Third Development Report of TUBITAK Research Project No: TOVAG-107O134.
Atatürk Univ. Agriculture Fac., Erzurum, Turkey.
Tosun, F., Manga I., Altın M. &amp; Serin Y. (1978). Adaptation and micro yielding experiments of legumes and forages
(unpublished), Atatürk Univ. Agriculture Fac., Erzurum, Turkey.
Uluocak, N. (1984). Important Natural Rangeland Plants in Turkey for Soil Protection and Forage Quality. II. Legumes. I.U.
Forest Fac., Istanbul, Turkey, 159 p.

4

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                    <text>1. International Symposium on Sustainable Development, June 9-10 2009, Sarajevo

The Perceptions of Individual Internet Users about E-Finance Applications
Yusuf TOPAL
Assist. Prof. Dr., Afyon Kocatepe University-TURKEY
ytopal75@hotmail.com
Cantürk KAYAHAN
Assist. Prof. Dr., Afyon Kocatepe University-TURKEY
ckayahan@aku.edu.tr
Abstract: The Global Integration process, new regulations and the developments in the
technology of internet have changed the nature and the structure of the financial services on a
large scale. The fact that financial services have been carried out by using electronic
communication and calculation has originated new field called e-finance. As a result of this,
financial service suppliers have entered into a more active competition process in order to gain
new customers. Technology, globalization, regulations, entrepreneurship, capital and
competition have become the main components of the e-finance revolution. E-finance has
focused on three main access fields. These are the access of electronic payments, the activities
of the financial service activities and financial market activities. These services are used
intensely by two sectors as individual and institutional. Institutional users are the companies and
the other public and private sector firms. The individual users have also started to be important
as at least the institutional users due to the increase of the competition. Therefore, the
determination of the expectations, preferences, and advantageous components, which are the
factors that incline internet users to e-finance, is very important for the financial institutions In
conclusion, for the purpose of determining individuals’
perceptions about e-finance
transactions, a face to face public survey has been conducted with the internet users and the
results of this public survey have been tested in SPSS 11.5 programme in this study.

Keywords: Perception, e-finance, internet

Introduction
The world is changing and developing very fast .Especially, the rapid developments in the information
and the communication technologies have caused important structural changes in the financial system of many
countries. The concept of change caused transforming by differentiating people and societies with the effects it
has created . Technological change is continuously renewed in itself, but it has taken the entire world under its
effect thanks to the internet technology. Internet has a process that was established for military purposes at the
beginning and then that has taken the entire world under its effect. The developments in the technology of the
internet have also changed the dimension and the operational format of the financial transactions. Thus, the
prefix “e” which is very important in the e-world and which comes in front of each concept, has originated a new
fact which is called e-finance with the beginning of the financial transactions on the internet.
In this study, it has been aimed to find out the views and perceptions of individual internet users about
the e-finance applications In this context, internet, e-finance concepts and development processes have been
evaluated in the first part of the study; numerical determinations belonging to the e-finance outlook the World
and Turkey have been carried out in the second part of the study. In the last part of the study, a face to face
survey has been conducted with the people from different branches of business working in public sector in
Turkey and One-way analysis of variance (Anova) has been tested in the SPSS 11.5 statistical programme to
find out whether there is any difference in the perception of the e-finance transaction according to the individuals
and their occupations. In addition, individuals’ perception levels about e-finance applications have been shown
with the concentration maps.

1.

Internet and e-Finance

The worldwide and ever-growing global computer network is defined as internet (Akar and Kayahan,
2007:5). In this network, the communication among the computers is provided through high capacity telephone
wires by means of a common language called internet protocol (Transmission Control Protocol/Internet
Protocol) and there is no central authority that directs, manages and controls the communication in the internet

291

�1. International Symposium on Sustainable Development, June 9-10 2009, Sarajevo

environment. In addition to this, the importance of the internet today has arised from the common and easy
access advantages stated below (Kınık, 2002: 2).
• Providing common and immediate communication ,
• Providing low-cost communication,
• Enabling interactive communication,
• Allowing electronic links to other information
• Not being able to control the communication from a certain central
• Providing a flexible communication environment
The history of the internet dates back to the access of the telegraph the patent of which was taken out
by Cooke and Wheatstone in 1836.Another important development is the origination of the “Transatlantic
Cable” which was laid from one side of the Atlantic Ocean to its other side between the years 1858-1866. The
1
origin of the internet has started with the activation of the ARPANET
by DoD (U.S. Department of
Defense).People started to communicate throughout a network in 1971. In this period, there were fifteen nodes
2
3
(15 node (23 host ) )in ARPANET.In 1973 the first international connection has occurred between University
College of London and Royal Radar Establishment. In 1990s the number of hosts have become 300.000. In 1993
the revolution of www started and the access of internet started financially and also among the banks.1999s are
the years in which the online banking transactions developed rapidly. Today, internet is the indispensable or the
meaning of the life, shortly it is everything of the life. E-finance has not actually originated with the invention of
the internet. In fact the first e-finance application dates back to the money transfer carried out to the far places by
Western Union Corporation. Western Union applied the first consumer spending card in 1914.By the year 2006,
this company achieved 147 million money transfer from consumer to consumer and 249 million money transfer
from consumer to enterprise (Shahrokhi, 2008: 367).
E-finance is defined as the provision of financial services by using electronic communication and
computations (Allen, McAndrews ve Strahan, 2001: 5).In another definition e-finance can be defined as scatter
of financial services by means of internet or online. E-finance operations mainly covers online intermediation
,insurance trade, banking and other financial activities (Shahrokhi, 2008: 366).In fact, e-finance applications are
subheading of electronic trade applications. E-trade is the access of digital data processing technology and
electronic communications to create ,to transform and to redefine relations in trade transactions in order to create
value between two or more enterprises and between the individuals and enterprises(Andam, 2003: 32).As it can
be seen in its definition, the concept and the applications of e-trade also covers the applications of e-finance.
The main factors that formed the e-finance revolution have been stated to be technology, globalization,
regulations, entrepreneurship, capital and competition by Shahrokhi (2008: 367). These factors are affected
intensively by the fund providers, users, regulators, investors and the other components in the markets. The
sector is divided into five categories in the e-finance model. These are:
1-Business to business (B2B),
2-Business to Consumer (B2C)
3-Consumer to consumer (C2C),
4-Technical infrastructure support for the e-Finance platform
5-Institutional and regulatory environment factor that facilitate growth of e-commerce and e-finance
According to the categories and the contents given above ,it is seen that B2B includes reduction of
application costs, unmediated or electronic intermediation, electronic transactions, integrated customer solutions
and electronic fund system.B2C includes financial intermediation or online applications by means of portals ,ebanking or online banking, personal finance or wealth management and insurance fields.C2C includes online
transactions and transactions cycle .In terms of technical infrastructure for the support of the e-finance platform,
the relation between the financial services provided by financial technology partners and technology and service
solutions has been shown in Table 1. As seen in the table, the developments in the –e-finance field have
increased the competition while decreasing the financial service costs (Claessens, Glaessner ve Klingebiel, 2001:
7). As a result of this, there has been a more intensive competition, transaction speed and quality increase among
the financial service suppliers.

1

Đnternet’in çıkış noktası, ABD Savunma Bakanlığı bünyesindeki “Đleri Araştırma Projeleri Ajansı” (ARPA – Advanced
Research Projects Agency) nın 1969 yılında kurduğu ARPANET ağıdır.
1
The starting point of the internet is the network ARPANET established in 1969 by Advanced Research Projects Agency
(ARPA) within the structure of USA Ministry of Defence
2
a connection point or a device that is connected as a component a computer network
3
The word meaning of “host” is to provide housing for. In fact its meaning in the world of internet is just this.
In other words , it means a company which hosts websites on the Internet .

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Table 1. The Realtoin Network fo Financial Technology Partners

Resource: Shahrokhi, 2008: 378.
Finally, all governments even most of the market managers need to regulate and control the financial
sector for the reasons of competition, anti-trust relations, consumer protection, safety and accuracymaintainability. They need to analyze the last changes in the financial services and whether the existent
applications are sufficient and they also need to analyze whether the traditional reasons are valid for regulation
and control and in which fields the importance of competition policy and consumer protection has increased
(Yörük, 2002. 11). Thus e-finance applications can be provided in more secure and more quality manner.

2.

The Outlook of E-finance in the World and in Turkey

Internet technology is certainly one of the primary components that are effective on the financial
system change. Therefore, when we look at the scatter of the world internet access in Figure 1,before looking at
the e-finance access rates, it is seen that Asia Region comes first with 41,2 %.Europe follows this region with
24,6 % and North America region comes after with 15,7 %.
Figure 1. World Internet Users by World Regions

Resource: www.internetworldstats.com/stats.htm (09.05.2009).
It is seen that Turkey ranks number thirteen in terms of the internet users’ number with 26.500.000
people by the year 2008 when we look at the world internet statistics given in the Table 2. Turkey comes after
Germany, England, France and Italy among the European countries. However, as this table has been prepared
according to the population, some of the European countries have not been included. While Turkey is in the front
ranks among the countries of which the number of users increasing between the period of 2000-2008, the leading
countries in terms of users’ number according to the population are Canada, Australia, Japan, America, South
Korea, Germany and Spain respectively. In addition, Pakistan, Iran, Turkey, India, Indonesia and China are the
most noticeable countries in terms of the number of users between the period of 2000-2008. Among the
countries and regions that are not seen in this table because of their population but that display the best
performance, Iceland ranks first with its population of 299 thousand and the access rate of 86.3 % . Sweden
which has 9.1 million population and 7 million active internet users is in the front ranks with the rate of 75,6 %
and New Zealand which has 4.2 million population and 3.2 million internet users is also in the front ranks with
the rate 74.9 %. In addition, it should be stated that the internet access rates of the countries like Portugal,
Holland, Denmark, Hong Kong and Luxembourg are also much above most of the other countries.

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Table 2. 20 Countries Using the Internet Most in the World
Country or Region
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20

China
United States
Japan
India
Germany
Brazil
United Kingdom
France
Korea, South
Italy
Russia
Canada
Turkey
Spain
Indonesia
Mexico
Iran
Vietnam
Pakistan
Australia

Internet
Users
253,000,000
220,141,969
94,000,000
60,000,000
52,533,914
50,000,000
41,817,847
36,153,327
34,820,000
34,708,144
32,700,000
28,000,000
26,500,000
25,623,329
25,000,000
23,700,000
23,000,000
20,159,615
17,500,000
16,355,388

Penetration
(Population)
19.0 %
72.5 %
73.8 %
5.2 %
63.8 %
26.1 %
68.6 %
58.1 %
70.7 %
59.7 %
23.2 %
84.3 %
36.9 %
63.3 %
10.5 %
21.6 %
34.9 %
23.4 %
10.4 %
79.4 %

% of World
Users
17.3 %
15.0 %
6.4 %
4.1 %
3.6 %
3.4 %
2.9 %
2.5 %
2.4 %
2.4 %
2.2 %
1.9 %
1.8 %
1.8 %
1.7 %
1.6 %
1.6 %
1.4 %
1.2 %
1.1 %

Population
1,330,044,605
303,824,646
127,288,419
1,147,995,898
82,369,548
191,908,598
60,943,912
62,177,676
49,232,844
58,145,321
140,702,094
33,212,696
71,892,807
40,491,051
237,512,355
109,955,400
65,875,223
86,116,559
167,762,040
20,600,856

User Growth
(2000-2008)
1,024.4 %
130.9 %
99.7 %
1,100.0 %
118.9 %
900.0 %
171.5 %
325.3 %
82.9 %
162.9 %
954.8 %
120.5 %
1,225.0 %
375.6 %
1,150.0 %
773.8 %
9,100.0 %
9,979.8 %
12,969.5 %
147.8 %

Resource: http://www.internetworldstats.com/stats.htm (09.05.2009)
When an evaluation has been carried out according to the statistic of Banks Association of Turkey about the
access of internet for the field of e-finance, it is seen that the number of retail customers registered for internet
banking and “ logged in” at least once is 11.222.126 by December 2008. The total number of customers “logged
in” at least once in one-year period is 5.946.652.The number of customers using internet banking has been given
in the Table 3.As it is seen from the table, from 2006 to 2008 although it is a very short time like two years,
increases that reached the double in the number of users were seen .Therefore, it is expected that the rates will
increase in the following years. The statistics of internet banking belonging to the data of March 2009 published
by the Banks Association of Turkey support this expectation
Table 3. Number of Customers Using Internet Banking According to the Years
Number of retail customers
Active (A) (that logged in at least once in the last three-month
period)
Registered (B) (that logged in at least once)
Registered (C)(that logged in at least once in one-year period)
Active(A) / Registered(B) Customer rate(percent)
Number of Instuitional Customer
Active (A) (that logged in at least once in the last three-month
period)
Registered (B) (that logged in at least once)
Registered (C)(that logged in at least once in one-year period)
Active(A) / Registered(B) Customer rate(percent)
Number of Total Customer
Active (A) (that logged in at least once in the last three-month
period)
Registered (B) (that logged in at least once)
Registered (C)(that logged in at least once in one-year period)
Active(A) / Registered(B) Customer rate(percent)

December
2006

December
2007

December
2008

March
2009

2.605.673

3.795.627

4.613.670

4.838.000

15.510.826
17

8.908.956
4.920.907
43

11.222.126 11.793.000
5.946.652 6.344.000
41
41

380.390

478.737

555.459

581.000

812.314

1.131.302
588.211

1.358.545
687.737

1.459.000
710.000

47

42

41

40

2.986.063

4.274.364

5.169.129

5.419.000

16.323.140

10.040.258
5.509.118
43

12.580.671 13.252.000
6.634.389 7.054.000
41
41

18

Resource: BAT (TBB).
According to the data of Banks Association of Turkey, the total number of financial transactions excluding the
investment transactions carried out by using the internet banking is 57.942 thousand and the amount is 136.680
million TRY in the period of October-December 2008. The money transfer transactions covering EFT(electronic

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fond transfer),money order and foreign exchange transfer comprise 84 % of the financial transaction volume
excluding the investment transactions.

Items

Table 4 . The Outlook of Turkey’s Financial Transactions in Internet Banking
December 2007
September 2008
December 2008
Number of Volume of
Number
of Volume
of Number of Volume
of
transactions transactions
transactions
transactions
transactions transactions
(Thousand) (Million TRY) (Thousand)
(Million TRY)
(Thousand) (Million TRY)

Money transfers
Payments
Credit card transactions
Other financial
transactions
Total
Resource: BAT

29.335
15.393
5.352
1.131

112.693
3.400
3.486
7.851

31.114
18.828
6.143
1.619

127.408
4.720
4.421
14.406

29.718
20.578
6.050
1.596

115.218
4.626
4.165
12.671

51.211

127.431

57.705

150.954

57.942

136.680

The total number of financial transactions performed by using the internet banking excluding the
investment transactions increased by 6.731 compared to the same period of the year before and increased by 237
compared to the previous three-month period. While the total volume of transactions was increasing by 9.249
million TRY, it decreased by 14.274 million TRY compared to the previous three-month period.

3.

The Perceptions of Individual Internet Users About E-Finance Application

3.1. The Aim and Content Of The Research
In this study, it has been aimed to to determine the choices, expectations and perceptions of individual
internet users’ who work in different duties and positions in public. The questionnaire was performed face to
face on the public employees within the content of the study in Afyonkarahisar City. The first part of the
questionnaire consists of the questions about the individual information of employees. Additionally, there are
also some questions about work position and e-finance applications in public. In the last part, it is required from
the employees to evaluate the e-finance applications with five point likert type questions.. In the evaluation of
the results, aggregation and one-way variance analysis were performed by using SPSS 11.5 statistical
programme.
3.2. The Findings and The Comments Of The Research
It has been determined that Cronbach alpha reliability study supplies 0.8261 data reliability before
mentioning the evaluations on research data. The results obtained from the formed frequency tables are
summarized as follow:
According to data, it has been determined that 57.7 % of those who filled the questionnaire is female
and 42.3 % of them is male. It is seen that great majority of subjects are in the young and middle age group.
According to data 38 % of them is in 25-35 age group, 32 % of them is in 35-45 age group and 15 % is in 45 and
over 45 age group. The summarized results about the occupational and the educational states of those who filled
the questionnaire are given in Table 5. It is understood that those who filled the questionnaire are predominantly
civil servant and they have bachelor degree. These results show that this study aims at more conscious and
educated audiences as it is proper for the aim of the study. On the other hand, it predominantly is determined that
those who choose the other part in occupational choice are the academics.

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Table 5. Occupation and Education Status of the Participants
Occupation
Frequency
Percent ( % )
worker
18
8,0
Civil servant
127
56,4
Director
37
16,4
Top Director
3
1,3
Retired
3
1,3
Other
37
16,4
Total
225
100,0
Education Status
Frequency
Percent ( % )
Primary school
2
,9
Secondary School
30
13,3
Associate Degree
36
16,0
Licence
99
44,0
Master Degree
58
25,8
Total
225
100,0
Findings about personal internet access and its aims have been shown in Table 6. Accordingly, 99 % of
the participants have stated that they connect to the internet. Furthermore, it has been found out that a large
proportion as 70% of them connect to the internet everyday and above 90 % of them connect to the internet once
a week. In terms of the internet access aim, it is concluded that large majority of them as 51,6 % use internet for
the purpose of receiving news. The access of internet for the purpose of receiving news was also in the first rank
with a large proportion as 76 % in the internet access study carried out by Turkish Statistical Institute(TSI)
throughout Turkey. Therefore, it is understood that the result of this study is in harmony with the results
throughout Turkey. The access of internet for the purpose of research has become in the second rank. The fact
that there have been academician based participants in the study can be concluded to be one of the reasons of this
choice to be effective. When we look at the other aims of the access, it is concluded that financial purposes like
banking transactions bill payments comes after respectively. This result is an important indicator of that efinance access frequency is supported by public based individual users.
Table 6. The Frequency and Purposes of Internet .
Access of Internet
Frequency
Yes
223
No
2
Total
225
Frequency ıf Internet Access
Frequency
Everyday
159
Every three days
28
Once a week
20
Forthnightly
8
Once a month
9
Total
224
The Purpose of the Internet
Frequency
Access
News
116
Game
4
Bill Payment
4
Bankacılık işlemleri
17
Messenger
7
Research
59
Exchange and fund pursuit
1
Others
17
Total
225

Percent ( % )
99,1
,9
100,0
Percent ( % )
70,7
12,4
8,9
3,6
3,6
99,1
Percent ( % )
51,6
1,8
4,8
10,6
3,1
20,2
,4
7,6
100,0

The questions in the 5 point likert scale have been prepared to determine the assessments of the
participants in the survey study about e-finance applications clearly, and they have been ranged from “1 most

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important” to “5 have no importance” and between minimum 1 and maximum 5 values. The meaning of these
values are: “2” important , “3” no difference “4” less important. The values on which that participants
concentrated and the average and standard deviation values are shown in Table 7.According to this, it is
concluded that the concreation among the participants is in the zones numbered 2 and 1 in terms of the necessity
of internet for its contribution to financial transactions, payments, banking transactions and shopping while the
concentration is in the zones numbered 1 and 2 respectively in terms of the use of time. Consequently, it has
been determined that the necessity of internet in terms of financial transactions is perceived to be important by
individual users on the concentration map prepared for perception level of e-finance transactions.
Table 7. The Concentration Map for the Perception Level of E-finance Transaction
Propositions
The necessity of internet for financial
transactions today
The necessity of internet for payments
The necessity and contribution of internet
for banking transactions
The necessity and contribution of internet
for shopping
The necessity and contribution of internet
for the use of time

N

Average

S.Deviation

1

2

3

4

5

225

1,7911

0,86907

74

115

19

11

6

225

2,1467

1,09821

60

116

22

10

17

225

2,0933

1,09185

70

105

22

15

13

225

2,2756

1,14353

54

109

24

22

16

225

1,7644

0,93187

105

87

20

7

6

One-way variance analysis has been carried out in Table 8 for the purpose of determining whether there
is a meaningful difference among the individual internet users according to different occupations. Accordingly, it
has been found out that there is 0,05 difference in the significance level among the individual internet users in
terms of the first and third questions , but there is no significant difference in terms of the other three questions.
Table 8. The Results of One-Way Analysis of Variance
(Differences in Perceptions of E-finance according to Individual Participants’ Occupations )
Sum of Squares df
Mean Square F
ANOVA
The necessity of the internet
for financial transactions

2 The necessity of the internet
for payments

3. The necessity of the internet
for banking transactions

4. The necessity of the internet
in terms of its contribution to
shopping
5. The necessity of the internet
in terms of the access of time

Between Groups

7,119

5

1,424

Within Groups

162,063

219

,740

Total

169,182

224

Between Groups

8,387

5

1,677

Within Groups

261,773

219

1,195

Total

270,160

224

Between Groups

19,354

5

3,871

Within Groups

247,686

219

1,131

Total

267,040

224

Between Groups

12,134

5

2,427

Within Groups

280,781

219

1,282

Total
Between Groups

292,916

224

4,665

5

,933
,867

Within Groups

189,850

219

Total

194,516

224

Sig.

2,124

,011

1,403

,224

3,422

,005

1,893

,097

1,076

,374

General Evaluation and the Result
The study carried out forms an important substructure in terms of perceptions and awareness of the
individuals in different occupations about e-finance applications. In addition, the differences among the
perceptions of e-finance in terms of occupations can also be determined. Accordingly, the effectiveness of better
banking, insurance or other online financial transactions and the closeness of them to consumers can show
disparity. Today the more effective working of banking transactions depends on electronic substructure to be
formed. In contemporary banking, e-finance applications and its transformation will multiply the efficiency; will
lead to decrease in the general management expenses; will increase the financial security; will make the financial
management activities more efficient; will become a bridge between rural and urban areas by facilitating the

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communication; will form new and different job opportunities; will raise the ability of money access by
increasing savings and therefore will provide the increase of general economic performance. Electronic
operations and internet access in Turkey and in the world have been evaluated in the study. Especially in recent
years crucial discrepancies have been seen in Turkey in the access of internet. This state has also affected the efinance operation in the same way. It is seen that e-finance operations are largely perceived by the individuals
and there have been individual awareness in terms of e-finance applications on the concentration map which is
formed for the purpose of determining perception levels in the study. Therefore, it is expected that these
applications will continue by increasing in progressive times. In addition, financial institutions, which perform efinance transactions, will be able to decide how they can approach to their costumers and how they can fulfill
their costumers’ choices and expectations by looking at this studies. In the study, one-way variance analysis is
carried out in order to determine whether there is difference between the individual occupations and the
perception of e-finance applications. In this analysis, it has been determined that there are differences at the
significance level of 00.5, between the necessity of internet in terms of financial operations and the necessity of
internet in terms of banking operations. It is thought that this difference results from individual internet users’
occupational variety. In conclusion, performing the financial transactions by means of internet technology,
which is accepted as e-finance revolution, will be one of the most important market developments in the future
as it is today. Besides these developments, providing consumers’ allegiance depends on the formation of
financial info and technological substructure in the direction of consumers’ needs and expectations. The success
is very close for the financial institutions that can achieve this process.

References
Akar E. &amp; Kayahan C., (2007), Elektronik Ticaret ve Elektronik Đş: uygulamalar, Modeller ve Stratejiler, Nobel Yayınevi,
Ankara.
Allen, F., McAndrews, J. &amp; Stratran, P. (2002), ‘‘E-finance: an introduction’’, Journal of Financial Services Research, Vol.
22 Nos. 1-2, pp. 5-27.
Andam Zorayda Ruth, (2003), E-Commerce and E-Business, May, e-ASEAN Task Force UNDP-APDIP,
www.apdip.net/publications/iespprimers/eprimer-ecom.pdf (06.03.2007)
Claessens S., Glaessner T. &amp; Klingebiel D., (2001), E-Finance in Emerging markets: Is Leapfrogging Possible ?, Financial
sector Discussion paper, No: 7, The World Bank.
Kınık T., (2002), Elektronik Finansın Gelişimi Karşısında Aracı Kuruluşlar, SPK Yeterlilik Etüdü, Ankara.
Shahrokhi M., (2008), E-finance: status, innovations, resources and future challenges, www.emeraldinsight.com/03074358.htm(09.05.20099.
Yörük N., (2002), E-Finans: Finansal Görünümün Yeniden Biçimlenmesi,
http://www.bilgiyonetimi.org/cm/pages/mkl_gos.php?nt=230(08.06.2005).
http://www.internetworldstats.com/stats.htm (09.05.2009)
http://www.tbb.org.tr/(09.05.2009).
http://www.pcnedir.com/tag/arpanet/(09.05.2009)

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                <text>The Global Integration process, new regulations and the developments in the  technology of internet have changed the nature and the structure of the financial services on a  large scale. The fact that financial services have been carried out by using electronic  communication and calculation has originated new field called e-finance. As a result of this,  financial service suppliers have entered into a more active competition process in order to gain  new customers. Technology, globalization, regulations, entrepreneurship, capital and  competition have become the main components of the e-finance revolution. E-finance has  focused on three main access fields. These are the access of electronic payments, the activities  of the financial service activities and financial market activities. These services are used  intensely by two sectors as individual and institutional. Institutional users are the companies and  the other public and private sector firms. The individual users have also started to be important  as at least the institutional users due to the increase of the competition. Therefore, the  determination of the expectations, preferences, and advantageous components, which are the  factors that incline internet users to e-finance, is very important for the financial institutions In  conclusion, for the purpose of determining individuals’ perceptions about e-finance  transactions, a face to face public survey has been conducted with the internet users and the  results of this public survey have been tested in SPSS 11.5 programme in this study.</text>
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                  <elementText elementTextId="25671">
                    <text>1. International Symposium on Sustainable Development, June 9-10 2009, Sarajevo

Relation between Real Effective Exchange Rate And IMKB -100 Index
(Istanbul Stock Exchange)
Yusuf TOPAL
Faculty of Economic and Administrative Sciences
Afyon Kocatepe University, Türkiye
ytopal75@hotmail.com
Ali AKGÜN
Faculty of Economic and Administrative Sciences
Selçuk University, Türkiye
akgunali@hotmail.com
Abstract: Stock exchange is a market where long-term investment instruments are purchased
and sold such as share certificates, bonds etc. Stock exchange market is divided into two;
developed and emerging stock markets. Developed stock markets are financial markets with
a great depth which display activity in industrialized countries and constitute international
financial market. Emerging stock markets are the stock exchange markets with a shallow
depth which display activity in developing countries. Istanbul Stock Exchange has a rather
important place among these stock exchange markets.
Emergence of the new capital markets, increase in financial liberalization and expansion of
flexible exchange rate regimes caused an increase in the examination of exchange rate and
stock exchange market. Developing economies that gradually abolished control on exchange
rate, paved the way for international investments and portfolio diversification.
Today, it’s seen that savers basically directs the funds in their hands to three instruments for
the purpose of investment. They are interest, foreign exchange and stock exchange market.
Investors who are the savers attempts to increase their returns in the maximum rate with the
portfolios they constituted from among these three instruments. When the literature is
examined, it’s seen that there are many studies which examined relation between interest and
stock exchange market from among these financial instruments. Result from these studies is
that there is a negative, that is, an inverse relation between stock exchange market indices and
interest rates. And purpose of this study is to see whether or not there is any long-term
relation between real efefctive exchange rate and IMKB-100 index (Istanbul Stock
Exchange), if any, to determine the direction of this relation.
In this study, three-month data of real effective exchange rate (REDK) and IMKB-100 index
for 1990-2005 periods have been used. Starting point of study is the year 1990. Its reason is
to test presence of long term relation between real effective exchange rate (REDK) and
IMKB-100 index by using long-term data that we could reach. Data sets used in study are the
values of indices and were received from Central Bank Electronic Data Distribution, Republic
of Turkey (EVDS). Long-term relation was examined and empirical findings were proved by
using Johansen-Juselius co-integration test (JJ). As a result of examination above, it was
ensued that ther was a long-term positive relation between real effective exchange rate
(REDK) and IMKB-100 index (Istanbul Stock Exchange).
Keywords: Exchange rate, ISE

Introduction
Stock Exchange is a market where long term investments like stocks, bonds are bought and sold.
Thanks to stock exchange the people’s savings are attracted to firms as capitals. In this way, capital is expanded
to the base of the society. The firms which have a achieved a certain level of size and which are registered to
stock exchange meet their long term fund needs by exporting shares and bonds which have better conditions than
bank loans. The diffusion of shares to the base in particular realized through stock exchange. As for debt capital,
bonds more alluring than long term bank loans both in terms of interest rates and of payment and of due date. In
this way, by means of stock exchange both the volume of capital markets enlarges and the long term fund
request from banks relieves. In addition, stock exchange has the following important functions like providing
liquidity, being an economic indicator, diffusing the property to the base, and creating source for funds.
Stock exchanges are divided into two as developed and emerging stock markets. Developed stock
exchanges are financial markets of great depth which are active in developed countries and which create
international financial market. Emerging stock exchanges are shallow markets which display activity in
developing countries. One of the most important characteristic features of these stock markets is that they are

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easily affected from many parameters and thus having unstable yields for investors. Sometimes, these stocks can
perform very well, and sometimes they can cause investors loose a fortune. Istanbul Stock Exchange holds an
important place among these kind of stock exchanges.
Stock exchanges function as the barometer of economic, social and politic life in all the countries of the
world. Changes, developments and problems in economic, social and political life are immediately reflected in
stock exchange. The changes in national economic lives and indicators and international economic data have
important direct effects on stock exchange and even causes great fluctuations. International economic data affect
and direct emerging stock exchanges at least as much as changes in national economies.
Real effective foreign exchange currency became common in 1970s with the introduction of floating
exchange rate. As floating exchange rates became more common, the multisided changes in rate of exchange
have become more important in terms of trade competitiveness. The change in the value of a currency with
regard to other certain currencies is the indicator of both the change in foreign currency market and in
competitive power of trade. This is the nominal effective rate. However, as the inflation rate of the countries
experience is different, the nominal effective rate is inadequate in indicating trade competition power. If the
value currency of the country loose is so that it can compensate for the difference between the inflation rate in a
given country and the inflation rate, it means that real currency remains the same. In other words, there is no
change in trade competition power, which stems from currency change. The real increase or decrease in effective
currencies is used as indicators of change in foreign exchange market and competitive power. To obtain real
value from nominal value, the foreign exchange rate is regulated in accordance with the difference between the
inflation rate of a given country and the world.
In the first part of this study, the literature review on the studies examining the relation between foreign
exchange rates and foreign exchange is provided. The second part of the study includes three main headings;
methodology, purpose, method and findings. Finally, the conclusion is given.

Literature Review
With the emergence of new capital markets, and with the increase in financial liberation and flexible
currency regime, the number studies into the nature of the relation between foreign exchange rate and stock
exchange increased. The developing economies that are gradually lifting the control over foreign exchange have
opened the way to international investments and portfolio diversity. Also, the countries that adopted a more
flexible currency regime have increased the floating in foreign exchange markets.
Classical theory of economy suggests that there is a relation between stock and foreign exchange. For
example; according to free currency, it is a well known fact that international competition and trade balances are
affected from money movements. Besides, this situation has an important effect on the countries real outputs
which determine the current and future cash flow of the firms and share prices (Dornbush and Fisher, 1980).
Movements in share prices can also affect foreign exchange rate. According to monetarist model, equity capital
can affect money demand and foreign exchange rate movements (Gavin,1989).
In the previous studies which mostly examined the foreign exchange and shares markets in the US have
found various results. For example, Aggarwal found out that the revaluation in US dollar affected share prices
positively. On the contrary, Soenen and Hennigar found a negative relation during the years 1980-1986 they took
into consideration. Roll who used daily data between 1988 and 1991 found a positive relation between the two
markets. On the other hand, Chow et al. who made use of monthly data in the period between 1977 and 1989
didn’t find any relation between the two markets.
Apart from these studies, Bahmani-Oskooee and Sohrabian were the first to use the congregation test in
their examination of the relation between the two markets. They made use of the monthly data between 1973 and
1988 and found out that there was a dual relation between the two effective foreign exchange rate and S&amp;P 500
index in the short term. Ajayi and Mougoue who used the data of eight industrialized countries of the period
between 1985 and 1991 found significant relations. To make it clear, they found that there was a negative
relation in short term and a positive relation in long term and that shocks in foreign exchange rates have a
negative effect on share markets. Abdalla and Murinde who studied the relation between foreign exchange rate
and share market by making use of data between 1985 and 1994 four Asian countries found that there wasn’t any
relation in Pakistan and Korea and that there was a relation between these two markets in India and Philippines
but these relations were not in the same direction. Muhammed and Rasheed who studied four southern Asian
countries by using monthly data between 1994 and 2000 found no relation in Pakistan and India, whether in
short or in long terms.
In a study, Phylaktis and Ravazzolo (2000) who examined the performances between foreign exchange
rate and share prices between 1980 and 1998 in Pacific region countries found a positive relation between the
two markets. Amare and Mohsin (2000) studied the relation between foreign exchange rate and share markets in
nine Asian countries. In their study, they studied the monthly data between January, 1980 and June, 1998 by
making use of co-integration technique. As result of their study, they found a long term relation only in
Singapore and Philippines. Murinde and Poshakwale found a relation between share prices and exchange rates

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before Euro and after Euro period in Hungary, Czech Republic and Poland. The result of this study indicated that
before Euro there was a one sided relation only in Hungary and that there was s strong dual relation in Czech
Republic and Poland. Gupta, Chevaliler and Sayekt who studied the relation between foreign exchange rate,
share market and interest rates in Jakarta economy found a weak one sided relation between foreign exchange
rate and share prices. Kim K. found a negative relation between S&amp;P 500 index and real foreign exchange rate.
Stavarek studied the relation between foreign exchange rate and stock exchange rate in four older European
Union members and in four new members and in the US. According to the data obtained in this study, there was
a stronger relation between foreign exchange rate and share prices in older EU members and in the US -whose
capital markets are developed- compared to the new members of EU. Besides, this study proved that mostly
there is a direct and one-sided relation between these two markets. Finally, in similar studies, it was concluded
that real effective foreign exchange rate is more suitable than nominal effective foreign exchange rate.

Methodology
Aim
Today, saving accounts owners direct the funds they have to three main instruments for investments
purposes. These are interest, foreign exchange and stock exchange. The investors try to increase their income to
maximum by means of portfolio they compose of these three main instruments of investment. Funds can spare
more space to one of these three instruments in accordance with circumstances in global and national economy.
When the literature was reviewed, it is seen that there are many studies examining the relation between interest
and stock exchange. The common result of these studies is that there is a negative- that is a reverse- relation
between stock exchange rate and foreign exchange rate. The main aim of this study is to determine whether there
is a long term relation between real effective foreign exchange rate and IMKB-100 index and if there exists what
is the direction of this relation.
Data
In this study, three months data of real effective foreign exchange rate (REFER) and IMKB-100 index
between 1990-2005. The study started in 1990. The reason to start this study so early is to test the existence of a
long term relation between REFER and IMKB 100 index by making use of the oldest data available. The data set
was the index values taken from the Electronic Data Distribution System of Turkish Central Bank. The
econometric analysis of the study was performed by using EViews 4.1 software.
Method
After the article published by Engel and Granger, especially in the 1990, there happened important
developments in time literature serial. Accordingly, many macroeconomic time serials have a trend and this
situation can lead to fake regression results (artificially increased and invalid test statistics) (Charemza ve
Deadman, 1997). There were many methods suggested as a solution for this. It was suggested that stochastic
trend can be eliminated by taking the difference of the variables but this method can lead to the loss of valuable
long term information. The solution came with the co-integration analysis suggested by Engel and Granger.
According to this, even if the variables include trends, the error term which expresses the deviations in long term
is fixed-that is to say its variance and mean doesn’t change in time, there is a real economic causality relation
between variables. In this case, the variables in the regression are called co-integrated. Co-integration analysis
has become an affective method which is used in the testing of theory of economy and in the prevention of
dummy regression results in the regression and modeling of the economic variables.
Thanks to co-integration analysis which was introduced to the literature in 1980s time serial econometric
and in the testing of economy theory. The benefits of co-integration concept to the literature and the areas of
application can be examined under the following items;
a) The removing of dummy regression results in regression analysis,1
b) It is used as a new and effective modeling which provides the testing of long and short term economic
variables together and econometric assessment
c) It is regarded as a pre-test before econometric assessment phase and
d) Its making long terms economic relations that is the testing of economy theory

1
The existence of the koentegre relationship between variables at the same time also guarantees the existence of causality
relationships(Engel and Granger, 1987). Researches indicate that the majority of the time series of macroeconomic contains
trends (see Nelson and Plosser, 1982). Therefore, researchers who have applied researches should take this into
consideration.

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In this study, firstly the stable levels of the variables are to be determined (Dickey ve Fuller, 1979). If the
mean and the variance of a time serial doesn’t change as time goes by and the common variance between two
terms is dependent on the distance between two terms but not on the terms it was calculated then it is called
stable (Gujarati 1999: 713). If a Y1 time serial whose mean, variance and common variance are the same as the
ones in Equality 1 is stable, these three values will be the same whenever they are measured in a given time
period.

E (Y1 ) = µ
var(Y1 ) = E (Y1 − µ ) 2 = σ 2

(1)

y1 = E [(Y1 − µ )(Yl +k − µ )]

Putting the serials into equalities without meeting stability conditions, makes some relations which are
not existent in reality seem to exist (Granger and Newbold, 1979: 111-120). Accordingly, the stability tests of
the serials used in this study were performed by making use of “Enlarged Dickey-Fuller” test. To implement this
test, the estimations were made according to regression number (2) for each serial used in the study.
k

∆Y 1= a + yTrend + pYt −l + ∑ δ 1 ∆Yt −i + ε 1

(2)

t −l

∆Y = (Y − Y )

t
t
t − l . The fixed term α shows Trend time or
In equalities, ∆ shows circular difference and
ε
general tendency variable and
shows the leftover of the model. EDF test’s achievement of robust results
depends on estimated regression equality’s being freed from auto regression problem. The removing of auto
regression problem in this equality makes the first circle difference of the dependent variable “k” necessary to be
included into the model as an explanatory variable for lag in term. The lag length which is expressed as “k” in
the equality was determined by Akaike by using AIC (Akaike Information Criterion) method.

EDF tests whether p=0 or not in the regression estimated above. If H0 hypothesis (p=0) is rejected, it is
determined that Y variable is stable at its original level, but if it is accepted it means that Y variable is not stable.
Till one can find the stability of a time serial which is not stable at its original level, these procedures are
repeated for the first, second and if necessary for the third term difference. By comparing the EDF-t statistics of
the equalities whose lag length are determined with McKinnon (1990) critical values, it is determined whether
the variable is stable at the level it was tested.
In this study, to determine the long term effect of real effective foreign exchange index on IMKB 100
index, the co-integration test developed by Johansen-Juselius (1992) was used. Johansen-Juselius (JJ) cointegration technique is composed of the unstable serial differences and the assessment of VAR (Vector Auto
Regression) which includes their levels. Suppose that there are two series which are not stable at their levels ( X
and Y). In this case, on the condition that there is a vector including Z, X, Y series, the VAR model created for
JJ assessment will be like the following equality (3);
∆Zt = Γi∆Zt-1 + …+ Γk-1∆Zt-k+1 + Π∆Zt-k + εt

(3)

Here, Γi (i = l, 2, k-1) Zt expresses the parameter matrix of the variables which express the lag of the
vector’s first difference; and II expresses the parameter matrix of the levels of the variables, and ε expresses the
leftover values of VAR model. As ΠZ matrix include direct combinations pertaining to the levels of the variables
in Z vector, it possible to get information about the long term features of the model by examining this matrix. In
the determination of the lag term number in the VAR model “Akaike Information Criterion” was used. The Cointegration relations between the variables which are examined to have long term relations were assessed with
the help of two test statistics. One of them was “Trace”, the other was "Maximum Eigenvalue Test" statistics.
The Trace test examines the rank of the Π matrix (the coefficient matrix of vector which include the level values
of the variables) and tests the hypothesis H0 whether the rank of the matrix is equal or smaller than r. The
maximum eigenvlaue test statistics test the H0 hypothesis which expresses that co-integrate vector is r against its
alternative hypothesis which states that the vector is r+1. The critical values of both these tests are given by
Johansen and Juselius. If II the rank of II matrix is zero, it is concluded that the variables composing Z matrix are
not co-integrated to each other, that is, they do not cooperate in the long run. If the rank of the same matrix is at
least “one”, it is concluded that the two variables in Z matrix cooperate in the long run.
The long term relation between two variables which have one co-integration relation will be like in the
following equality (4). The X and Y in the equality shows dependent and expressive variables, β shows the
parameters of the variables and ε shows the faulty term.

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β1 X 1 + β 2Y1 + ε 1 = 0

(4)

Findings
As Co-integration equalities require the using of unstable series and the stable variables of error
correction equalities, each data series is firstly examined for the possible level of difference stability. The unit
root test results are given in Table 1 and Table 2. Table 1 and Table 2 give us the EDF results of IMKB 100 and
REFEC (real effective foreign exchange currency). When the critical importance of providing stagnancy is
considered, a variable can only be decided to be stagnant if it passes EDF test (Darrat, 2002). As it can be seen in
Table 1 and Table 2, EDF test statistics absolute values being greater that absolute values of significance level
1%, 5% and 10% shows that the series are stagnant at 1st level. In technical terms, both IMKB 10 index and
REFEC are (1). As the twp series are stagnant at 1st level, to investigate the long term relation Johansen –Julieus
co-integration test can be implemented.
Table 1: EDF unit root test (ĐMKB)
t-values
-5,106309
EDF Test Values
%1
-2,602794
Critical Values
%5
-1,946161
%10
-1,613398
Table 2: EDF unit root tests (REDK)
t-values
-8,253956
EDF Test Values
%1
-2,602794
Critical Values
%5
-1,946161
%10
-1,613398

Prob.
0,0000

Prob.
0,0000

As the variables are stagnant at the same level, we can do co-integration test by using Johansen-Juselius
methodology. As JJ co-integration test is very sensitive to the choosing of lag length, the first phase in this test is
to find an appropriate lag structure. In order to find appropriate lag structure, a VAR model would be useful. If
the lag time is very short the model will be deficient and if the lag time is too long then the slackness level will
be decreased. For both Schwartz and Akaike information criterion the lag time for the examined VAR model is (
VAR=1).

Lag
0
1
2
3
4
5

Table 3: VAR Analysis
AIC
28.54575
25.11201*
25.14519
25.15760
25.19282

25.20785
6
25.16170
*: The Lag number according to the characters chosen
Lag: Lag number
AIC: Akaike Information Criterion

SC
28.61680
25.32516*
25.50043
25.65495
25.83227
25.98940
26.08535

SC: Schwarz Information Criteria
As it can be seen in Table3, Schwarz and Akaike information criteria 1 lag was suggested. For the last
time, Table 4 and Table 5 indicate that there is at least one long term relation between Trace Test and Max
Eigenvalue, and real effective foreign Exchange value and IMKB 100 index. At this point, Trace Test value and
Max Eigenvalue test being higher than critical value of 5% significance level reveal that there is a long term
relation between REFEC and IMKB 100 index.

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None*
At most 1

Table 4: Trace Test
Trace
Critical
Test
value (0,05)
21,54963
15,49471
3,687484
3,841466

None*
At most 1

Table 5: Maximum Eigenvalue Test
Max.
Critical
Eigenvalue Test
value (0,05)
17,86215
14,26460
3,687484
3,841466

Prob.
0,0054
0,0548

Prob.
0,0129
0,0548

Table 6: Normal Co-integration Coefficients
REFEC
IMKB
1,000000
-0,001686
Standard Deviation
(0,00029)
From the values in Table 6, it can be concluded that there is a positive long term relation between
REFEC and IMKB-100 index.

Conclusion
In this study we have examined whether there is long term relation between real effective foreign
exchange currency and IMKB-100 index and its way.
While examining the existence of long term relation between a real effective foreign exchange and
IMKB-100 index, co-integration method was used. In the creation of our data set, the electronic data distribution
system of Turkish Central Bank was used. Our data set covers the period between 1990: 01 and 2005: 04. The
analysis was carried out by using three-month length data sets. “Johansen-Juselius Test” was used as Cointegration method.
The stagnancy of the variables was first tested by using EDF unit root tests and it was decided that the
series are stagnant and that it was decided that “Johansen-Juselius Co-integration Test” (JJ) could be performed.
As the Johansen-Juesluis Co-integration Test is sensitive to lag length, VAR analysis was used to find
appropriate length and it was seen that the lag length is (1) according to both Akaike and Schwartz.
Finally, the trace test and Maximum Eigenvalue tests were performed, and it was concluded that there is
a long term relation between the two variables just as in other studies in the literature. It was seen that this is a
positive relation, in other words, the increases in real effective foreign exchange currency or any decrease in real
effective foreign exchange currency lead to a decrease in IMKB-100 index.

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                <text>Relation between Real Effective Exchange Rate And IMKB -100 Index  (Istanbul Stock Exchange)</text>
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AKGÜN, Ali</text>
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                <text>Stock exchange is a market where long-term investment instruments are purchased  and sold such as share certificates, bonds etc. Stock exchange market is divided into two;  developed and emerging stock markets. Developed stock markets are financial markets with  a great depth which display activity in industrialized countries and constitute international  financial market. Emerging stock markets are the stock exchange markets with a shallow  depth which display activity in developing countries. Istanbul Stock Exchange has a rather  important place among these stock exchange markets.  Emergence of the new capital markets, increase in financial liberalization and expansion of  flexible exchange rate regimes caused an increase in the examination of exchange rate and  stock exchange market. Developing economies that gradually abolished control on exchange  rate, paved the way for international investments and portfolio diversification.  Today, it’s seen that savers basically directs the funds in their hands to three instruments for  the purpose of investment. They are interest, foreign exchange and stock exchange market.  Investors who are the savers attempts to increase their returns in the maximum rate with the  portfolios they constituted from among these three instruments. When the literature is  examined, it’s seen that there are many studies which examined relation between interest and  stock exchange market from among these financial instruments. Result from these studies is  that there is a negative, that is, an inverse relation between stock exchange market indices and  interest rates. And purpose of this study is to see whether or not there is any long-term  relation between real efefctive exchange rate and IMKB-100 index (Istanbul Stock  Exchange), if any, to determine the direction of this relation.  In this study, three-month data of real effective exchange rate (REDK) and IMKB-100 index  for 1990-2005 periods have been used. Starting point of study is the year 1990. Its reason is  to test presence of long term relation between real effective exchange rate (REDK) and  IMKB-100 index by using long-term data that we could reach. Data sets used in study are the  values of indices and were received from Central Bank Electronic Data Distribution, Republic  of Turkey (EVDS). Long-term relation was examined and empirical findings were proved by  using Johansen-Juselius co-integration test (JJ). As a result of examination above, it was  ensued that ther was a long-term positive relation between real effective exchange rate  (REDK) and IMKB-100 index (Istanbul Stock Exchange).</text>
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                    <text>1. International Symposium on Sustainable Development, June 9-10 2009, Sarajevo

A Research Survey on People who has not Fire Insurance
Kamil TAŞKIN
Researcher, The Faculty of Economics and Administrative Sciences,
Sakarya University, Turkey,
ktaskin@sakarya.edu.tr
Recep YILMAZ
Lecturer, Karasu Vacationaly School, Sakarya University, Turkey,
rcyilmaz@sakarya.edu.tr
Fatih Burak GÜMÜŞ
Researcher, The Faculty of Economics and Administrative Sciences,
Sakarya University, Turkey,
fbgumus@sakarya.edu.tr
Abstract: Fire Insurance Usage in Turkey is very small stage now. Turkish people often use
the other insurance types like car, earthquake, and asset. The reasons why this situation has
not been researched up to now. In our study, we prepared a survey which measuring the
reasons of less usage levels of fire insurance. We applied to the survey nearly to 170 people
which not use fire insurance policy. After the survey, we entered the data into spss program.
We applied some tests and we got some results about fire insurance less usage level in
Turkey.
Keywords: Insurance, fire, survey, tests

Introduction:
Real estate investments are a very cost-effective investments for businesses and legal entities. These
costs make up 3 basis. Property of the land value, property value and environment value. In case of sudden
disaster, (fire, earthquake, flood, etc..) land value does not lose its value, but houses will lose their value for the
owner. Housing and office prices are high today, the people who have suffered from damage will force the
resources to bringing back. The insurance sector developed insurance policies to minimize the risk like fire,
accident, earthquake. Today, housing and dwelling fire insurance have been developed in case of the tangible
damage for the property to protect the owners of builts. Although fire insurance based on historical areas, this
type of insurance has not been developed at Turkey. This study focus on the reason why the fire insurance
branch has not been expanded all over the country.

Insurance Sector In World:
In economic terms, insurance refers to the pooling mechanism used to reduce the downside of risk
(Masci and Tejerina; 2006;1).
The insurance industry forms an integral part of the global financial market, with insurance companies
being significant institutional investors. In recent decades, the insurance sector, like other financial services, has
grown in economic importance (Hussels, Ward, Zurbzuegg; 2005, 258-259)
Twenty years ago, banks and insurance companies maximized the size of their balance sheets: banks
accumulated assets in search of a larger market share, and the insurance industry was mostly liability driven.
Recent years, risk has increasingly transferred from banks to nonbank institutions such as insurers, mutual funds,
pension funds and hedge funds ( Hausler; 2004,1).
Insurance sector has been increasing its huge economic and strategical power. In many countries
insurance sector has more improved structure and economic power than banking sector (Ünal,1994,46). At table
1 shows the Premium production of developed countries and turkey. As table 1,developed countries has a huge
percentage in total Premium production. Only USA produced excess to 1 trillion dollars. This means the giant
size amount of funds which could be effected to economies.

321

�1. International Symposium on Sustainable Development, June 9-10 2009, Sarajevo

Table1 : Premium Production In World In 2003.
Billion
Dolar
Countries
%
USA
1.117.944 35,41
Japan
472.820
20,62
United
Kingdom
254.363
8,63
Germany
170.137
5,77
France
161.483
5,48
Sweden
39,876
1,35
Turkey
3,316
0,11
(www.swissre.com)
Insurance firm has more affect on economic structure. The biggest insurance firm is the Citigroup and it
has 1.4 trillion asset structures. The first 100 firm have asset changing between 1.100 and 243 billion dollar
(Oskay, 2005; 64).

Insurance Sector in Turkey
In Turkey insurance sector has not been developed in comparison with developed country. For example,
European Union Countries produced 1.1 trillion US dollar insurance premium in 2004. The same year, England
become the country which the most piled insurance premium with 294 billion US Dollars (www.tsrb.org.tr). In
2003, USA produced 1.117,944 billion US dollar.

322

124
201
369
671
1.427
2.602
5.272
11.099
20.471
40.807
82.689
182.635
354.669
623.522
1.144.889
1.600.478
2.355.308
3.300.858
4.271.629
5.042.403
6.236.143

Fire insurance
premiums to
the total rate
(%)

Amount of fire
insurance
premiums
collected

Years
1986
1987
1988
1989
1990
1991
1992
1993
1994
1995
1996
1997
1998
1999
2000
2001
2002
2003
2004
2005
2006
2007

Quantity of
collected
insurance
premiums

Table 2: All And Fire Insurance Premium Production

33
54
93
167
283
408
781
1.792
3.785
7.043
13.870
27.469
49.104
100.971
165.252
284.233
419.531
529.173
655.711
733.046
1.192.800

27,01
26,70
25,33
24,92
19,81
15,68
14,82
16,14
18,49
17,26
16,77
15,04
13,85
16,19
14,43
17,76
17,81
16,53
15,35
14,54
19,13

7.052.563
1.105.287
www.hazine.gov.tr

15,67

�1. International Symposium on Sustainable Development, June 9-10 2009, Sarajevo

Table 2 shows that total and fire insurance Premium production in accordant to years. Sector is incline
to improve but this inclination is a bit slow. Foreign investors and professional management shortage is the
biggest problems in Turkey’s Sector.

Survey Research
Our survey research have been put into practise in Marmara region and along april and may in this year.
Survey have been filled by 170 participants nearly. Aim of this study is to measure of the reason why less level
fire insurance and knowlodge level of the participants about fire insurance and fire measurments. There is no
academic research to measure to inclination of not being made fire insurance. This is the first and ongoing
academic research on this topic.
In Turkey, although insurance sector is incline to develop but either insurance capacity or fire insurance
production is very low level. In Table 1 and Table 2, this situation are being appeared clearly below.

194%
176%
184%
140%
147%
136%
133%
118%
124%
113%

Percentage Of
Increase level Of
Fire Insurance

Year
1998
1999
2000
2001
2002
2003
2004
2005
2006
2007

Percentage Of
Increase level Of
Total Premium

Table 3: Amount Of Total And Fire Insurance Premium In Turkey As Graphic
250%

200%

150%

100%

179%
206%
164%
172%
148%
126%
124%
112%
163%
93%

50%

0%
1998

1999

2000

2001

2002

Percentage Of Increase level Of Total Premium

2003

2004

2005

2006

2007

Percentage Of Increase level Of Fire Insurance

In accordant to these table, Turkey produced 7,05 billion US Dolar and the percent 15,67 of this
produced premium is fire insurance. Total premium level and fire insurance level are increasing inclination but
this inclination is very slow and inadequate. Table 2 shows that percentage of increase level of total premium
and percentage of increase level of fire insurance. Comparation with England, Turkey’s total premium level is
very small, nearly 1,5 percentage of England’s premium production.

Educational
degree

Mountly income

Gen
der

Table 4: Participant’s Gender, Mounthly Income And Educational Degree
Frequency Percent
Man
114 70,80
Woman
47 29,20
333 - 666 $
36 22,36
667 - 999 $
52 32,30
1000 - 1333 $
36 22,36
1334 - 2000 $
24 14,91
2001 - 2666 $
7
4,35
2667 and over $
6
3,73
Primary School
19 11,80
Secondary School
24 14,91
High School
53 32,92
Associate Degree
7
4,35
B.A.
49 30,43
Master and over Degree
6
3,73

323

�1. International Symposium on Sustainable Development, June 9-10 2009, Sarajevo

Upper table shows the participants pecularities. Striking point of this table that is the participants’
income level. % 55 of participants has income below 1.000 US dollar. This is the most important reason about
less level of fire insurance demand. The more income level increase, people are incline to spend their funds to
insure their goods. This is the reason why is the insurance sector more strong and effective on economy at
developed countries at the same time. At these countries, people have more income in accordance to
undeveveloped countries’ people and spend their income to getting valuable goods and insure them. In our
country, people reasonable wages and they are incline to spend this income to essential poverty.

1
2
3
4
5
6
7
8
9

Table 5: Why Do You Not Use The Fire Insurance ?
Frequency
Why Do You Not Use The Fire Insurance?
Nobody offered me to fire insurance
62
A low probability of fire out
54
I have no information about this type of insurance
53
I'm getting my own measures
50
I have no enough income to spent to premium of fire insurance.
49
Premium amounts, too much
48
Fire insurance to do was continually postponed
26
I have no confidence in the insurance sector
24
I've done before, never satisfied
8

Percent
38,5%
33,5%
32,9%
31,1%
30,4%
29,8%
16,1%
14,9%
5,0%

If we take a look at table 4, it is obvious that the most striking result is weakness of marketing. Agencies
and insurance firms think about this topic. If marketing operation is accelerated, it is probable that fire insurance
branch may be extended. 62 participants and 53 participants declared that we had not enough information about
fire insurance and its benefits.
A huge percent of participants declared that fire out probability is very small. In accordance to other risk
(desiases accident...), fire out probability may be seen as very small probability but expand speed and damage of
fire could be very effective and mortal.
The other result of this table is existence of high premium prices and having income level weakness.
Table 6: During your life, have you ever eyewitnesses very close to any fire around your house?
Frequency
Percent
52
32,30
Yes
108
67,08
No
The reason why the people who has not fire insurance policy could be that they have never seen a fire
around their houses. % 67 of participants have not been eyewitnesses to fire. This is a psychological result. The
people are incline to focusing on things effected them. As a result, It is clear that marketing and enlightment
studies must be increased by the firm. In point of result of fire, fire always has a big risk.
Table 7: Are you owner of house which you sit in?
Frequency
Percent
Yes
No

110
49

69,32
30,43

110 participants have own houses. The others have not own houses and tenant of their house. Whereas % 69 of
participants have own houses, they are not interested in make fire insurance.

324

�1. International Symposium on Sustainable Development, June 9-10 2009, Sarajevo

Table 8: How many people do you know who have fire insurance around you?
Frequency
Percent
No have
1 person
2-3 person
4-5 person
6-7 person
8 and over

91
22
39
6
1
1

56,52
13,66
24,22
3,73
0,62
0,62

Small percentage of fire insurance is appeared at this table again. % 56 of participants has no identified to people
has fire insurance.
Table 9: Do you know the risks are covered by fire insurance policy in detail?
Frequency
Percent
Yes
No

10
149

6,21
92,55

Participants have neither knowledge fire insurance nor coverage of fire insurance policy. Whereas fire insurance
has different some coverage like thunder and exploit.
Table 10: Do you have the measures which of the followings related to the fire in your home available?
Frequency Percent
Fire
extinguisher
71
1
41 %
30
2 Fire escape
18 %
16
3 Fire alarm
9%
4
4 Sand bucket
2%
Fire
Cabinet
8
5
5,0 %
0
6 Fire Ball
0%
No
one
41
7
25 %
Most preferred equipment is fire extinguisher in the case of fire in accordance to answers. Fire alarm,
cabinet and escape are not affected to extinguish to fire. These measurements are helpful to after fire occurred. %
25 of participant has no any measurements about fire. This is the most important result shows that disregarders
of fire risks of this table.
Table 11 : Have you enough information about fire protection?
Frequency
Percent
59
36,65
Yes
100
62,11
No
% 62 of participants have no enough information about protection of fire. Although communication possibilities
are very widen, this high percentage shows that communication possibilities are not used usefully. Booklets, tv
and radio programs must be used for enlighment to people to protect from fire and precautions before the fire
occurred.

325

�1. International Symposium on Sustainable Development, June 9-10 2009, Sarajevo

Table 12: Cross table of "income" and "Why do you not use the fire insurance?"

Cross table used for comparing with income level and the reasons not to do fire insurance. In
accordance to the Table 11, the participants who have not reasonable income are getting their own measures and
they find to Premium price are very high. Medium level incomed participants have less confidence to insurance
sector. The more income is higher, measurements against to fire decreaser and the reason of high premium price
decreaser.

Conclusions:
As Turkish Insurance sector has lots of problem, fire insurance branch has some obstacles and
problems. Although fire risk and its results’ fatality is big, lots of participants ignore to fire insurance. As survey
fire insurance branches 3 main problems;
1. The biggest problem is weak income level. Turkish per capita income is incline to increase but it is not
enough for improvng to insurance sector. The people has huge income incline to spend their funds to precious
goods. As a result precious goods need to be insured.
2. Marketing deficiency is the other big problem. Most of participants declared that they had no knowledge
about sector and had not get any fire insurance proposal from agencies.
3. Not to understand of fire risk and its result. It is a bit connected with educational level.

References
Hussels Stephanie; Ward Damian; Zurbruegg Ralf ; “Stimulating The Demand For Insurance” Risk Management and
Insurance Review, 2005, Volume. 8, No. 2, 257-278
Targan, Ünal ; “ Türk Sigortacılık Sektörünün Ekonomik Đşleyişi ve Fon Oluşturma Kapasitesi; ĐTO Publishing, Đstanbul
1994
“Avrupa Birliğinde Sigorta Sektörünün Vergilendirilmesi” http:/www.tsrsb.org.tr
Oskay; Suna; “Küresel Sigorta Piyasalarında Türk Sigorta Piyasasının Rekabet Gücü” 2005 http://www.soksay.com/econet/downloads/K%C3%BCreSig.pdf
Hausler, Gerd ; “Risk Transfer and the Insurance Industry”; Contributions from the 31st General Assembly of the Geneva
Association, June 2004
Masci Pietro; Tejerina Louis . ; “Insurance Market Development in Latin America and the Caribbean”
http://199.79.166.188/sds/doc/FINALIN SURANCEPAPER _Masci_Tejerina.pdf
www.swissre.com

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                <text>Fire Insurance Usage in Turkey is very small stage now. Turkish people often use  the other insurance types like car, earthquake, and asset. The reasons why this situation has  not been researched up to now. In our study, we prepared a survey which measuring the  reasons of less usage levels of fire insurance. We applied to the survey nearly to 170 people  which not use fire insurance policy. After the survey, we entered the data into spss program.  We applied some tests and we got some results about fire insurance less usage level in  Turkey.</text>
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                    <text>1. International Symposium on Sustainable Development, June 9-10 2009, Sarajevo

Assesment of Cultural Aspects of Hofstede with Socio-Economical Factors
in new Product Acceptance
Ercan TAŞKIN
Assist. Prof. Dr., Institute of Social Sciences, Dumlupinar University, Turkey
Hasaan ÖZYAŞAR
Economic Science Expert
H. Yelda ŞENER
Ph. D. candidate, Dumlupinar University, Turkey

Abstract: Enterprises should be able to know and appreciate different cultural environments
in order to be successful in international marketing. Companies in international marketing
should form their marketing activities by taking different cultural characteristics of different
countries into account. They should also perform the necessary adaptations to different
cultures in such activities as product, pricing, decision of distribution channel and promotion.
On the other hand, in adapting marketing activities to different cultures, Hofstede’s study
about cultural dimensions including avoiding uncertainties, individualism, power distance and
masculinity has guided many related researches. In this study, assessing Hofstede’s cultural
dimensions in terms of such products as internet, PCs and cell phones, and such socio
economical factors including GDP, urbanisation and literacy, the effect of these factors on the
acceptance of new products were analysed. The data were then interpreted with regression
analysis.

Key Words: New product, international marketing, culture

Aim &amp; Importance of the Research
The aim of the research is to explain the factors affecting the acceptance rates of new products
introduced to international markets, to determine the environmental factors from these and to reveal from these
environmental factors how and to what extent cultural dimensions affect the acceptance rates.
As competition increases in internal market, many of the companies go for external markets. Many
companies like Daimler-Chrysler and Unilever try to overcome the shrinkage in internal markets by going for
markets overseas. However, even the companies which are very successful in their own internal markets might
fail in international markets. In the 1990s, many big firms like Kellogs, Mercedes Benz and Whirlpool made
many high-cost mistakes while introducing their products to new markets.(Tellefsen, 1999) Avoiding these kinds
of mistakes is possible by analysing the cultural and socio-economical structure of the target countries seriously
and introducing such products that are appropriate for this structure or making the required adaptation on the
products to adapt it to this structure.
Most of the scientific studies in Turkey are unfortunately by no means at the level of being practicable
or directive. In this study, it was tried to provide a guide of analysis for enterprises, which introduce new
products to international markets, to enable them to make the required adaptations about cultural factors
especially by showing them the effect of uncontrollable external environment on the acceptance rate of new
products. At this point, with our regression equation, companies which will introduce new products to
international markets or which will make important changes on the current product will be able to predict the
amount of demand in each of the 80 countries.

Development of Hypotheses
Literature scanning was conducted about the subject and depending on the studies hypotheses were
developed about the environmental factors thought to affect the acceptance rate of new product. Table 1
summarizes the findings about how which factors affect the acceptance rate of new product in the studies carried
out on different products and different countries at different times.
Depending on this and other studies in the literature, the following hypotheses and the model shown in
Figure 1 were developed about the factors thought to affect the acceptance rate of new product.

404

�1. International Symposium on Sustainable Development, June 9-10 2009, Sarajevo

Table 1. Factors Affecting Acceptance of New Products
Study carried out by

Power
Avoiding Individualism Masculinity GNP Urbanization Literacy
Distance Uncertainity
Sean Dwyer, hani
(-)
(-)
(-)
(+)
mesak, maxwell hsu
Luis E. Boone
(+)
(+)
(+)
Yvonne
Van
(-)
(-)
(+)
(-)
Everdingen,
Eric
Waarts
Dipak Jain, Suvit
(-)
(+)
Maesincee
Sangeeta Singh
(-)
(-)
(+)
(+)
Debabrata Talukdar,
(+)
(+)
(+)
Sudhir Kale, Andrew
Ainsslie
Kallol Bagchi, P.
(-)
(-)
(+)
(-)
Hart, M. Peterson
Lawrance Rhyne, M.,
(-)
(-)
(+)
(+)
Teagarden,
W.
Panhuyzen
Chol Lee
(+)
(+)
(+)
Jan Steenkamp, F.
(-)
(+)
(+)
Hofstede, M. Wedel
Gerard
Tellis, S.
(-)
(+)
(+)
(+)
Stremersch, E. Yin
Michael Lynn, Betsy
(-)
(+)
(+)
Gelb
Janell Tovnsend, Ş.
(-)
(-)
(+)
(+)
Yenyurt
Hypotheses about Cultural Dimensions
The cultural structure of a social system affects the acceptance rate of innovations by either facilitating
or complicating the dissemination of innovations. Countries open to innovations have different cultural
characteristics than those close to innovations. (Lee,1990) Researches have shown that culture of a country has a
significant effect on its people’s acceptance rate of new products.(Tellis,2003) The most common culture
classification in international marketing was developed by Hofstede. Cultural dimensions of Hofstede and the
scores he developed for these dimensions have been used to provide a theoretical base for inter-cultural studies
and to support the hypotheses. (Soares,2007) In measuring international consumer innovation and acceptance
and dissemination of innovations, cultural dimensions of Hofstede have been used in many studies. (Waarts,
Everdingen, 2005)
Avoiding Uncertainity
According to Hosfstede, avoiding uncertainity denotes the timidity level of people of a culture when
encountering unknown or uncertain situations. In societies where avoiding uncertainity is common, people face
uncertain and complex situations with anxiety. Members of such societies lower their stress level by laying down
some rules that will help them see ahead. In societies where avoiding uncertainity is uncommon, people
consequences of uncertainity is already accepted. Members of such societies perpetually want changes in their
lives.( Dwyer S., Mesak H., Hsu M,2005) As a result, there is a negative relation between avoiding uncertainity
and acceptance of new product. In countries where avoiding uncertainity is common, the acceptance rate of new
product will be low, while in others where avoiding uncertainity is uncommon, the acceptance rate of new
product will be high. In the light of these opinions;
H1: There is a significant and negative relation between the dimension of avoiding uncertainity and
acceptance rate of new product.
Individualism

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Individualism-socialism is the basic cultural variable dimension of inter-cultural studies.(Aaker,
Maheswaran,1997) The dimension of individualism is about the dominance level of the wishes of the group on
the wishes of the individual. In individualist cultures, ties between individuals are weak and people are primarily
interested in themselves and their close folks. In socialist cultures, on the other hand, there are strong group ties
of loyalty and trust. Whereas there is a conscious of “we” in socialist cultures, in individualist cultures it is
replaced by conscious of “I”. (Hofstede,1983) in countries where individualism is common, people are eager to
try the new product earlier than the other members. (Lynn, Gelb, 1996)After all, we can say that in cultures
where individualism is common, the acceptance rate of new product will be high and vice versa. In the light of
these opinions;
H2: There is a significant and positive relation between the dimension of individualism and acceptance
rate of new product.
Power Distance
The meaning of power distance is whether power is distributed equally among the members of a society
or not. In some national and local cultures, inequalities might appear in power distance. In societies where power
distance is high, power is in the hands of a small group. Those without power are dependent on those with
power. According to Hofstede, the hierarchical pyramid in the organizations is high in societies where power
distance is high; centralism and formalism stand out and upward communication is low. (Çerik,1998) In a
research on centralism and formalism, it was determined that in organizations where centralism and formalism is
at a high level, the acceptance level of innovations is low.( Zmud,1982)Hofstede stated that in practice, there is a
negative relation between power distance and individualism dimension. In countries where power distance is
high, individualism is low; however, in countries where power distance is low, individualism is high.( Jain D,
Maesincee,2005) Depending on our previous hypothesis on individualism dimension, we can say that in cultures
where power distance is high, the acceptance rate of new products will be low and vice versa. In the light of
these opinions;
H3: There is a significant and negative relation between the dimension of power distance and
acceptance rate of new product.
Masculinity
This dimension of culture is based on the relations between genders. In societies where masculine
values are dominant, the roles are separated with bold lines between genders. Such masculine values as success
and efficient use of power form the outstanding elements of culture. In societies where feminine values are
dominant, the differences in roles between genders are few. ( Aydemir M., Demirci,2006) The common values in
societies showing masuculinity character are success, competition, and struggle, winning and being powerful. On
the other hand, the common values in societies showing feminine characterare cooperation, service, life quality
and warm relations between individuals. (Çerik,1998) Hofstede believed that while the individuals in masculine
societies believe in the philosophy of “living to work”, those in feminine societies belive in the philosophy of
“working to live”. (Hofstede,1997) Focusing on ambition, competition, tangible values and performance is a
characteristic of masculine culture. In organizations of masculine cultures, it is important to appreciate and
favour performance, to educate and improve individuals. These characteristics are, at the same time, the
characteristics of innovative organizations. Rogers, who have done extensive researches on the diseemination of
new products, state that there is a positive relation between success motivation and innovation.(Waarts,
Everdingen, 2005) Depending on these ideas we can say that in cultures where masculinity is high, the
acceptance rate of new products will be high too and vice versa. In the light of these opinions;
H4: There is a significant and positive relation between the dimension of masculinity and acceptance
rate of new product.
Hypotheses about Socio-economical Dimensions
Acceptance and dissemination of new proıducts and ideas are affected by socio-economical factors,
social interaction moulds and cultural interaction.(Ganesh,1998) There is a close relation between socioeconomical structure and innovation. Social characteristics of those who accept innovations earlier show that
they are more educated, have higher statues, are better off and have wider influence.(Everest ,1995)

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GNP
The researches have shown that wealth has an important effect on the acceptance rate of new product in
a country. For wealthy people, the cost of the new product forms only a little of their income. Therefore, they
can take the risk to accept a new product. After all, risk is an important concept in the process of accepting
innovations. ( Dickerson,Gentry ,1983) In the light of these opinions;
H5: There is a significant and positive relation between the dimension of GNP and acceptance rate of
new product.
Urbanization
Urbanization causes a decrease in traditional values and appearance of modern life styles by bringing the
consumers of different cultures together. Modern production techniques, mass communication tools and
consumption-oriented life style cause appearance of new consumption moulds and thus acceptance of new
products rapidly. ( Hill, Stıll,1984) When people live and work, information and experience disseminate among
individuals more rapidly. Cities where a large number of people live together involve convenient conditions for
the application and development of new ideas and products. (Lambooy,2002) In the light of these opinions;
H6: There is a significant and positive relation between the dimension of urbanization and acceptance rate of
new product.
Literacy
Education open people’s minds and thus facilitates disseamination of new ideas. At the same time, it makes
people sensitive about the importance of technology in personal development.(Tellis G., Stremersch,2003)
Everest Rogers, who developed the theory of dissemination of innovations, determined that a positive relation
between innovation and attitudes towards education was found in %73 of the researches having been carried out
on the characteristics that determine the acceptance rates of innovations. Those who accept innovations earlier
have a higher literacy rate than those who accept innovation later. (Rogers,1995) In the light of these opinions;
H7: There is a significant and positive relation between the dimension of literacy and acceptance rate of
new product.

Research Model
Figure 1 shows the model developed for the research. On this model, not only the direction of relations
is shown but also dependent and independent variables are presented. In the research, the independent variables
are power distance, individualism, masculinity and avoiding uncertainty, all of which constitute cultural
dimensions, and GNP per capita, urbainzation rates and literacy for individuals above 15 years of age are control
variables, all of which constitute socio-economical dimensions.

Scope &amp; Limitations of the Research
In the research the aim was to analyse the effect of cultural dimensions which are among the factors
affecting the acceptance rate of new product, and therefore, product-focsed factors and other environmental
factors were not included into the scope of the research. Only the such socio-economical factors as GNP per
capita, urbanization and literacy- which Hofstede suggested using as control variables while doing research
about cultural dimensions- were used as control variables. As in all national cultural studies, this study also
considers cultural borders as national borders. However, cultural homogeneity does not appear with political
borders. Every country might include different cultural groups who socially stand out or lag behind. At this
point, our study didn’t take sub-cultures into consideration.

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Independent Variables
(Cultural Dimensions)

- Avoiding
Uncertainity

Dependent Variables
(Acceptance rates of New Products)

- Internet

H1

- PCs

- Individuality
H2

- Cell Phones

- Power Distance
H3
-Masculinity
H4

Control Vriables
(Socio-economical Dimensions) H5
- per capita
GNP

H6
H7

- Urbanization
- Literacy
Figure 1. Research Model

Method
The differences in the acceptance rates of new products among 80 countries were tried to be explained
through cultural dimensions and such socio-economical factors as GNP per capita, urbanization and literacy
were included into the model as control variables. While trying to explain a case with cultural variables, this type
of socio-economical variables should be checked and included into the scope of research. (Tomasz,
Kendall,1999) Hofstede also said that if, in a study, certain factors like economical and biological variables can
explain a case, using cultural dimensions is not necessary and when they are used as a variables, such factors as
GNP per capita should be used as an additional control variable. (Bagchi, Hart, Peterson,2004)

Sampling
The sampling is composed of 80 countries for which Hofstede developed scores about cultural
dimensions.

Data Collection
The research was completely done by using secondary data. While determining the cultural dimensions
of the countries, dimensions and scores calculated for these countries about these dimensions which the Dutch
scientist Hofstede had developed by conducting 120.000 surveys in 80 countries were used. Hofstede’s study
about cultural dimensions forms a theoretical base in researching the effect of cultural differences on the
dissemination and acceptance of innovations.(Straub,1997)
In order to measure the acceptance of new products, the study used the usage rates of cell phones, PCs
and Internet as new products in the population of 80 countries. In 2004 “International Telecommunication
Union” provided the numbers (http://www.itu.int/ITU-D/icteye/Indicators/WTI_Technotes.pdf., 14/01/2007) of
Internet connection determined electronically by “Internet Software Concortium” according to the country code,
of cell phones determined through subscriber number and of PCs determined through rgular surveys and
different resources. The control variable- GNP per capita in 2004, urbanization and literacy of individuals above
the age of 15- was provided by World Bank.

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Statistical Methods
Regression analysis is used to analyse whether there is relation between two or more variables, if any,
its direction and strength, and what kind of a change other variables change when one of the variables have a
certain unit of change.(http://www.toraks.org.tr/mse-ppt-pdf/Kenan_KOSE3.pdf., 20/02/2007) Because we
aimed to determine whether there is relation between cultural dimensions and the acceptance rate of new
products and the direction of this relation, we also used regression analysis. Firstly, we analysed how cultural
dimensions affect the acceptance rate of new products with multipl-regression method. Then, after including the
control variables into the model as done in similar studies in the literature, we analysed how cultural dimensions
affect the acceptance rate of new products with hierarchical regression method.

Findings
In order to form a more descriptive model and to make more accurate predictions, after checking socioeconomical dimensions, in order to determine what kind of an effect cultural dimensions have, as done in similar
studies in the literature, ‘Hierarchical Regression Model’ was applied. In this way, socio-economical factors
were kept under control; in other words, in order to determine what kind of an effect cultural dimensions have
when socio-economical factors have the same level in all the observation units, socio-economical control
variables were added to hierarchical regression model in the first step and then cultural dimensions were added.
Table 2 shows the findings about hierarchical regression model.
Table 2. Findings about Hierarchical Regression Model
Model Internet

PCs

Cell Phones

Ayarlanmış F
Significance Modulated F
Significance Modulated F
Significance
R2
Level
R2
Level
R2
Level
1.Step %43,5
18,964 0,000
%50,9
24,141 0,000
%55,3
29,864 0,000
2.Step %70,7

25,178 0,000

%79,6

38,247 0,000

%64,3

19,013 0,000

Table 2 shows the results about the appropriateness and importance of hierarchical regression model.
Analysing F values, it can be seen that the model is important in explaining the relation between independent
variables and the acceptance rate of new products. (Internet; F=25,178, p&lt;0,001, PCs; F=38,247, p&lt;0,001, Cell
Phones; F=19,013, p&lt;0,001). Analysing the values of R2 coefficient, which denotes how much of the change in
dependent variable is explained by independent variables and which is a measure of consistency of the model, it
can be seen that the model has a high coefficient in explaining the change in the dependent variable. (Internet;
R2= %70,7, PCs; R2=%79,6, Cell Phone; R2= %64,3). This shows that the model explains %70,6 of the change
in acceptance rate of internet dependent variable in international markets. The remaining %29,3 can be explained
by other factors not included into the model and thought to be product-centred. For PCs, the model explains
%79,6 of the total change and the remaining %20,4 can be explained by other factors thought to be about the
characteristics of the computer itself. Similarly, for cell phones, the model explains %64,3 of the total change
and the remaining %35,7 are explained by other factors.
Findings about Culturel Dimensions
In the hierarchical regression analysis, in the first step, socio-economical variables were put into the
model while in the second step cultural dimensions were included and what kind of change cultural dimensions
experienced after socio-economical factors were checked was analysed. As seen in Table 2, values of R2 caused
a change of %27,7 for internet, of %28,6 for PCs and of %10,7 for cell phones in the second stage when cultural
model was included into the model. In other words, after checking the socio-economical factors, the cultural
dimensions explain %27,7 of the change in the acceptance rate of internet in the international market, %28,6 of
PCs and %10,7 of cell phones. (p&lt;0,001). This shows that cultural dimensions have a strong effect on the
acceptance rate of new products. Table 3 presents the analyses results that show the effects of each independent
variable in the model. Tablo 3 also shows β coefficients and p values of each independent variable as a result of
hierarchical regression analysis. β Coefficient is defined as a curve and it shows the change in the dependent
variable
when
the
independent
variable
increases
one
unit.
(http://analiz.ibsyazilim.com/egitim/kk.html.,04/03/2007) Some of the β coefficients in the Table are positive
while some are negative, which show the direction of the relation.( Çatı, Yılmaz,2002) P values give information

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about whether there is a statistically significant relation between the dependent and independent variables. In
social sciences, it is accepted that there is a statistically significant relation when the p value is smaller than 0,05.
Table 3. Results of Hierarchical Regression Model
Internet

1. Step

2. Step

β
Coefficient
0,278
0,320
0,304
0,103
0,244
0,242
-0,256

GNP
Urbanization
Literacy
GNP
Urbanization
Literacy
Avoiding
Uncertainity
Individualism 0,380
Power
-0,125
Distance
Masculinity -0,139

PCs

0,004
0,005
0,009
0,151
0,006
0,006
0,001

β
Coefficient
0,458
0,347
0,161
0,272
0,288
0,099
-0,233

0,000
0,155
0,047

P Value

Cell Phones

0,000
0,001
0,140
0,000
0,000
0,177
0,000

β
Coefficient
0,330
0,281
0,395
0,222
0,190
0,309
-0,005

0,000
0,006
0,000
0,006
0,050
0,002
0,953

0,295
-0,249

0,001
0,002

0,304
-0,121

0,005
0,215

-0,093

0,124

-0,001

0,994

P Value

P Value

Findings about Avoiding Uncertainity
As a result of the analyses, when the p values (Internet p=0,001, PCs p=0,000, cell phone p=0,953) are
analysed, it can be seen that there is a statistically significant relation between the acceptance rates of Internet
and PCs in international markets and the dimension of avoiding uncertainity, but no significant relation for cell
phones. When the β values (Internet β= -0,256, PCs β= -0,233, cell phone β= -0,005) are analysed, it can be seen
that the relation between avoiding uncertainity and dependent variables is negative. These results support our H1
hypothesis except for cell phones. The fact that there isn’t a significant relationship for cell phones might be
because relative advantages of cell phones- which are among product-centred characteristics- are very much. In
the periods when cell phones first entered the Turkish market the sales rose rapidly. Analysing this consumption
tendency, it can be argued that the idea that possessing a cell phone gives a status made the product a symbol of
status, which caused such a rapid acceptance rate of this product.(Gegez,2003) This rapid acceptance rate
decreased the uncertainity rate we analysed in 2004.
Findings about Individualism
The dimension of individualism was determined to be the factor with the biggest effect on the
acceptance rate of the new product. Analysing the p values (Internet p=0,000, PCs p=0,001, cell phones
p=0,005), it can be seen that there is a statistically significant relation between the acceptance rates of Internet
and PCs in international markets and the dimension of individualism. When the β values (Internet β= 0,380, PCs
β=0,295 cell phones β=0,304) are analysed, it can be seen that the relation between individualism and dependent
variables is positive. These results support our H2 hypothesis strongly.
Findings about Power Distance
As a result of hierarchical regression, when the p values for the dimension of power distance (Internet
p=0,155 PCs p=0,002, cell phones p=0,215) are analysed, it can be seen that there is a statistically significant
and strong relation between the acceptance rate of PCs in international markets and the dimension of power
distance, but no important relation for Internet and cell phones at all. When the β values (Internet β= -0,125, PCs
β= -0,249, cell phones β= -0,121) it can be seen that the relation between the dimension of power distance and
dependent variables is negative. These results partly support our H3 hypothesis through PCs. The reason why
there isn’t a strong relation for Internet and cell phone as foreseen might be due to product-centred factors. While
forming our hypothesis about power distance, depending on the literature, we said that in societies in which
power distance is high centralization and formalization will be high, that in organizations in which centralization
is high, top management won’t be aware of operational problems and the top management won’t be able to put
the innovations into use to solve these problems. However, Internet and cel phones have a characteristic to ease
communication between senior and junior management. Due to these characteristics, they are such products that
decrease power distance.

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Findings about Masculinity
When p values about masculinity dimension (Internet p=0,047 PCs p=0,124, cell phones p=0,994) are
analysed, it can be seen that there isn’t a statistically significant relation between the acceptance rates of PCs and
cell phones and masculinity dimension, but there is just a little relation for Internet. Contrary to what we
foresaw, the β values (Internet β= -0,139, PCs β= -0,093, cell phone β= -0,001) have negative values for all
dependent variables. These results do not support our H4 hypothesis for the three dependent variables.
According to Hofstede, in societies whose masculinity level is low, what is small and slow is nice; however, in
societies whose masculinity level is high, the opposite is true. The products in our research are generally both
small and fast. Due to such complexity about the products, it can be argued that there is no relation between
masculinity dimension and acceptance rate.
Findings about Socio-economical Dimensions
As seen in Table 1, when the F values of the first step in which socio-economical factors were included
into the model as independent factors are analysed, it is seen that the first model is an important model in
explaining the relation between socio-economical variables and acceptance rates of new products. (Internet;
F=18.964, p=0,000, PCs; F=21.141, p=0,000, Cell Phones; F=29.864, p=0,000). When R2 values, which denote
how much of the change in dependent variable is explained by independent variables and which is a measure of
consistency of the model, are analysed, the following is found: for Internet R2= %43,5, for PCs R2=%50,9, and
for Cell Phones R2= %55,3; that is, such socio-economical factors as GNP, urbanization and literacy explain
%43,5 of Internet’s, %50,9 of PCs’ and %55,3 of cell phone’s acceptance rate in international markets.
Findings about GNP
When we analyse the p values to measure the relation between GNP and the new product, it can be seen
that in the first step, during which only socio-economical factors were put into the model, p values for Internet is
p=0,000, for computer is p=0,000, and for cell phones it is p=0,000. That is to say that, for the three products,
there is a strong relation between GNP and acceptance rates of the products. In the second step, during which
cultural dimensions were put into the model, p values for Internet is p=0,151, for PCs is p=0,000, and for cell
phones it is p=0,006, which means that when cultural dimensions were included into the model, the
explainability of the change in GNP did not exist for Internet and decreased for the other two products. When the
β values are analysed, it is seen that the relation is positive. These results support our H5 hypothesis.
Findings about Urbanization
When we analyse the p values to measure the relation between urbanization rates and acceptance rates
of new products, in the first step in which only socio-economical factors were put into the model, the following
are seen: p=0,005 for Internet, p=0,001 for PCs and p=0,006 for cell phones. That is, for the three products there
is a strong relation between GNP and acceptance rates of these products. In the second step in which cultural
dimensions were included into the model, the following p values were found: p=0,006 for Internet, p=0,000 for
PCs, p=0,050 for cell phones. That is, when cultural dimensions were included into the model, the explainability
of the independent variable urbanization decreased a little but did not disappear. When the β values are analysed,
it can be seen the the relation is positive. These results support our H6 hypothesis strongly.
Findings about Literacy
When we analysed the p values to measure the relation between GNP per capita and the new product, in
the first step in which only socio-economical factors were put into the model, the following are seen: p=0,009 for
Internet, p=0,140 for PCs and p=0,000 for cell phones. That is, there is strong relation between the acceptance
rates of these products and Internet and cell phones but there is no significant relation between PCs. In the
second step in which cultural dimensions were included into the model, the following p values were found:
p=0,006 for Internet, p=0,177 for PCs and p=0,002 for cell phones. That is, when cultural dimensions were
included into the model, there wasn’t an important change in the explainability of the rate of urbanization. When
the β values are analysed, it can be seen the the relation is positive. These results support our H7 hypothesis
except for PCs.

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Result &amp; Suggestions
In our research on 3 products in 80 countries, it was shown that socio-economical factors and cultural
dimensions have significant effects on the acceptance rates of new products in international markets. In general,
in countries where GNP, urbanization and literacy rates and individualism scores are high and in those where
avoiding uncertainity and power distance scores are low, the acceptance rates of new products are higher. In the
analysis, during which the effects of socio-economical control variables were checked, it was found that the
strongest effect on the acceptance rate of new products was caused by individualism dimension and urbanization
rates. This was followed by literacy rates, avoiding uncertainity and power distance dimensions respectively;
however, no relation was found between masculinity dimension and the acceptance rate of new products.
Another important result of the research is about the notion of globalisation. In the literature, contrary to the
thesis that globalisation eliminates cultural dimensions and drags the world into a one-cultured structure, it was
determined that cultural factors were still important determiners in 2004.
Presentation of new products is one of the most complicated decisions international marketing managers
come up against. Cultural differences in international markets are another important factor that increases this
complexity and affects all its dimensions. Understanding the factors that affect the acceptance of new products
enables international marketing managers to predict the demand level they will get in the target market and to
make the required adaptations on the product according to the characteristics of ther market. The results can
help the companies that will introduce new products to international markets in presentation tactics. It will be a
successful presentation tactic to introduce the new products to such markets that will accept them easily due to
high rates of individualism and urbanization because the extensive acceptance rates in these markets will
decrease uncertainity about the product for the customers in other markets and thus enabling them to be accepted
more easily in other markets. The research is a sort of guide for international marketing managers in marketing
tactics for new products. Especially in efforts for sustainability of the market it will yield effective results if
adaptations are done in accordance with these results. For example, in countries where individualism level is low
and level of power distance is high, international marketing managers can delegate their efforts for sustainability
of the market to opinion leaders because the effect of opinion leaders on group members is more in such
societies. The products and ideas opinion leaders accept are adopted by other members. In societies where
avoiding uncertainity and power distance levels are low and individualism level is high, according to our
findings, the acceptance rates of new products are high. Therefore, in such markets, emphasizing the innovation
and difference of the product will attract the customers’ attention. On the other hand, in societies where avoiding
uncertainity is high, since people give importance to factors decreasing risks applications like warranties, aftersales service, product samples must be emphasized as a part of such a tactic that increases acceptance in such
societies.

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Science, v:28, ı:12, p. 1429.
http://analiz.ibsyazilim.com/egitim/kk.html., (04/03/2007)
http://www.itu.int/ITU-D/icteye/Indicators/WTI_Technotes.pdf., (14/01/2007)
http://www.toraks.org.tr/mse-ppt-pdf/Kenan_KOSE3.pdf., (20/02/2007)

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                <text>Enterprises should be able to know and appreciate different cultural environments  in order to be successful in international marketing. Companies in international marketing  should form their marketing activities by taking different cultural characteristics of different  countries into account. They should also perform the necessary adaptations to different  cultures in such activities as product, pricing, decision of distribution channel and promotion.  On the other hand, in adapting marketing activities to different cultures, Hofstede’s study  about cultural dimensions including avoiding uncertainties, individualism, power distance and  masculinity has guided many related researches. In this study, assessing Hofstede’s cultural  dimensions in terms of such products as internet, PCs and cell phones, and such socio  economical factors including GDP, urbanisation and literacy, the effect of these factors on the  acceptance of new products were analysed. The data were then interpreted with regression  analysis.</text>
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                    <text>1. International Symposium on Sustainable Development, June 9-10 2009, Sarajevo

Market Dominance and Competitiveness in Banking Sector and an
Analysis of Turkish Banking Sector with Comparison to EU Banking
Sector
Basak TANINMIŞ YÜCEMEMĐŞ
Assist.Prof.Dr., The School of Banking and Insurance, Banking Department,
Marmara University, Turkey,
basakyuce@marmara.edu.tr
Erişah ARICAN
Prof.Dr., The School of Banking and Insurance, Banking Department,
Marmara University, Turkey,
erisaharican@marmara.edu.tr

Abstract: It is of vital importance for the finance sector and its pioneering child, the banking
sector, to boost and maintain competitiveness and market domination in a globalizing world.
In the Turkish banking sector, a significant progress has been made with respect to making
legal and institutional arrangements for regulatory and supervision authorities and
implementing and auditing decisions taken within the context of harmonization with the EU.
Due to increasing competition and rapid technological developments in the banking sector,
financial products and services have been diversified and new strategies and policies have
been implemented and rate of inflow of foreign capital has gathered momentum. It is
noteworthy that the Turkish banking sector has an oligopolistic structure and it has ratios
similar to the banking ratios of the developing countries that are EU members. Moreover, it
is obvious that the Turkish banking system is more robust than transition economies.
Keywords: Banking, EU, competitiveness

Introduction
Competition is the focal point of free market economy while competitiveness is an essential
mechanism for boosting efficiency, effectiveness and social welfare. In addition, securing market dominance
plays an important role in ensuring lucrativeness of businesses.
The study focuses on the factors affecting competitiveness and market dominance of the banking sector
that has entered international markets upon financial liberation and runs a structural comparative analysis
between the Turkish banking sector and the banking sectors of the selected EU members countries grouped
according to their economic development.

1. Theoretical Framework for Competitiveness and Market Dominance
1.1. Concepts of Competitiveness and Market Dominance and Factors Affecting Them
In economic terms, competition can be defined as the ideal environment in which economic activities
pursued by any person or firm are not restricted by other persons or firms and can been conducted in an
effective manner. Competition is an endeavor for survival and maintaining and improving one's existence and it
entails adopting a strategic mindset and adopting certain strategic analyses and conscious application rules.
The ability of firms to influence the market and market prices is reliant on the level of competition in
that market (Lipsey, Steiner&amp;Purvis 1987). The higher is competition in a particular market, the less is the
likelihood of individual firms to have any affect on that market and the prices that originate in that market.
While price competition is the evident form of competition, non-price competition has come to be used more
effectively today. In price competition, firms compete with each other by making discounts in the price of their
products through several methods --monetary wages, profit, efficiency, changes in exchange rates, etc. In nonprice competition or product competition, firms try to distinguish their products from competing products on the
basis of quality of the product or other services for consumption of the product(Kılınç 2008&amp;Erkan 1987).
For creating a good environment for competition, the following criteria must be fulfilled:
• Entries to, and exits from, the market should be free.

64

�1. International Symposium on Sustainable Development, June 9-10 2009, Sarajevo
•
•
•
•
•

Firms should be free in conducting their trade and making deals.
There should be an effective monetary system in place.
Markets should be transparent. Buyers and sellers should have thorough knowledge of the market.
Restrictions on trade should be abolished.
Buyers and seller should act rationally to maximize their profits(Lachman 1999).
Competition naturally gives rise to the concept of competitiveness. Competitiveness is a comparative
measure and it specifies the position of sectors and countries with respect to each other. Competitiveness can be
defined from two perspectives: at micro (firms and sectors) and macro (country) levels. In the former case,
competitiveness signifies the ability of a firm to produce its products at lower costs and for lower prices
compared to its rivals in the national or global markets; it also implies that this firm is capable of producing
better quality and more attractive products and it can produce new products at lower costs and perform better in
international trade. In the latter case, competitiveness refers to the ability of a county to compete with other
countries with respect to quality and prices of its products, maintain a good balance of foreign trade, increase
production, income and efficiency and improve living standards and employment in the country(Aktan&amp;Vural
2004).
There are two basic factors that affect competitiveness of firms: efficiency and cost advantage. In a
sense, efficiency means obtaining higher output with lower input. In this regard, competitiveness can be defined
as the ability to increase efficiency. Cost advantage is the ability to minimize the costs related to a product or
service without degrading --or even by improving-- its quality. For Porter (1990), countries obtain
competitiveness by using their resources optimally(Ucal &amp; Gürsoy 2008).
When the process of competitiveness is taken into consideration in transition from traditional economy
to new economy, one can discern that competitiveness relies first on large production and low cost and then on
product and market expansion, on quality and speed, and finally on value creation(Özkara1997 &amp;Aktan and
Vural 2004).
1.2. Competitiveness and Market Dominance in Banking Sector
The finance sector and the banking sector need to boost and maintain competitiveness on a global scale
in order to increase welfare.
Market shares of banks (sector's rate of concentration) and barriers to market entry show the level of
market power. The banks having monopolistic power in the banking sector will create loans in fewer numbers
but with higher interest rates and with an immense volume while offering lower interest rates to deposits. This
will in turn disrupt flow of capital to efficient areas, undermining capital accumulation and adversely affecting
economic growth. Moreover, high volume loans will decrease portfolio diversification with added risk of
crippling the financial structure of the bank. On the other hand, in a banking sector characterized by intense
competition, interest rates will be lower for loans and higher for deposits, lowering capital costs and boosting
economic growth. In oligopolistic markets, banks take into consideration possible reactions from other banks in
deciding their interest rates, commission and other fees. Due to lack of communication in oligopolistic markets,
prices are set more according to attitudes of rivals than those of customers(Tunay, Uzuner &amp;Yiğit 1998).
Increased competition leads to decrease in the number of reliable borrowers per bank, which in turn
urges banks to conduct more thorough examination into loan applications. Banks tend to finance long maturity
loans with short maturity deposits, thereby experiencing liquidity problems. Banks can avoid high credit risks
only by maintaining more equity capital, applying capital adequacy requirements, using credit derivatives,
decreasing interest risks, implementing low loan portfolios and using other risk minimizing measures. In the
end, social welfare may deteriorate.
Barriers to entry to the banking sector, cartel agreements and recently increased number of mergers and
takeovers restrict competition. Measures that aim to create fair competition conditions in the banking sector are
listed as follows:
• Auditing authorities must be independent.
• Entries to and exits from the sector must be free in order ensure that the number of the banks operating
in the banking sector are optimal(Scoot &amp; Dunkelberg 2008).
• Objective criteria must be set view to preventing unfair competition by restricting entries to the sector -or mergers or acquisitions-- that might lead to creation of big bank groups.
• Comprehensive legal arrangements -which encompass the entire financial sector, not only a banking
law- must be implemented to ensure harmonization with the globalizing world(Scoot &amp; Dunkelberg
2008).
Neven's study (1999) showed that liberalizations that have been going on since 1980s have made a
considerably salient impact on competition (Neven &amp; Roller 1999). Recently, banks have started to operate
under intense competition from non-sector financial organizations and financial markets due to the increased
liberalization and integration of the world's financial markets. Increased competition has urged banks to engage

65

�1. International Symposium on Sustainable Development, June 9-10 2009, Sarajevo

in insurance, private banking and asset management and other non-interest bearing operations (Hainz 2003).
Banks are trying to adapt to the rapidly changing competitive environment through internal growth or merger
and acquisition strategies with a view to benefiting from economies of scale. Many banks are seeking ways to
diversify their income sources(Goddard, Molyneux, Wilson &amp;Tavakoli 2007). However, when done between
medium and big sized banks, mergers generally do not serve to increase efficiency because these banks are
already making savings with their scales. In order to secure increase from scale savings, small banks should
merge. Bikker and Haaf assumed that small scale banks operate on at local level while big banks are more
competitive than other banks at the international level and medium sized banks can maintain a medium level of
competition(Bikker &amp; Haaf 2002). Moreover, the number of banks is treated as an indicator of competition
level. Increase in competition at the banking sector leads to decreased cooperation(Hainz 2003).
The banks having big market shares obtain noncompetitive income(De Jonghe &amp; Vennet 2008). For
Dick, in particular, big banks secure market dominance by seizing demand surplus through quality intensive
services(Dick 2007). Any increase in market share results in a fall in brokering costs(Maudos &amp; De Guevara
2007).Stability was found to be higher in the banking systems with higher concentration rates and fewer
restrictive regulations. Thus, reasonable competition is preferred(Berger, Klapper &amp; Aris 2008).
When the European banking system having a strong structure is examined, it can be observed that
recent technological developments, financial liberalization, ongoing economic and regulatory integration and
impact of Euro transition have increased competition and effectiveness. On the other hand, since bank mergers
and acquisitions decrease the number of rivals, this may have negative effects with respect to market
domination(De Jonghe &amp; Vennet 2008).

2. Structural and Comparative Analysis of Banking Sectors of Selected EU Countries
vis-à-vis Turkey
2.1. Developments, Competitiveness and Market Domination in the Turkish Banking Sector in the Post2001 Crisis Era
Post-2001 crisis recovery in the Turkish economy, increased economic stability, and the implemented
anti-inflation program have positively affected the banking sector. Moreover, restructuring of the banking
system has ensured that major structural problems which in the past created crises in the sector can be
overcome. With consolidation and positive economic developments that occurred thanks to restructuring, the
banking system has started to grow and reshaped its balance sheet structure. With increased demand for loans,
the share of loans within assets has increased, and the share of securities portfolio with lower liquidity, and
financial structure has been reinforced, and profitability performance has improved. As the Turkish banking
sector has a big potential for growth and Turkey's EU membership process has accelerated, foreign capital has
started to show increased interest in the sector and the direct investments by foreign investors in the Turkish
banks and other financial organizations have increased.
The banking law (dated 2006) that regulates and directly affects banking activities has been
harmonized with the EU legislation to a great extent. New arrangements have been made with respect to
determination of institutional management rules for banks and measurement of liquidity adequacy(TBB 2007).
The year 2007 was a busy year for political and economic developments both in the country and in the
international markets. With adverse developments around the world, no remarkable progress was seen in
Turkey's EU membership process.
2.1.1. Market Structure in the Turkish Banking Sector
In the banking sector where a rapid process of consolidation was seen with acquired and closed down
banks after 2000, the number of banks dropped down to 49 in December 2008. The number of branches
continued to increase. The branch and employee numbers have decreased in the period 2000-2003 due to the
structuring schemes, but started to increase afterwards.
Table 1. Bank and Branch Numbers
2001
2002
2003
2004
Bank
Branch Bank
Branch Bank
Branch Bank
Branch
61
6,908
54
6,106
50
5,966
48
6,106
Total
2005
2006
2007
Sep. 2008
Bank
Branch Bank
Branch Bank
Branch Bank
Branch
47
6,247
46
6,849
50
8,040
49
9,036
Total
Source: Derived from the Turkish Banks Association (TBB), (May 2008), Bankalarımız 2007, and the TBB, (September
2008), 3 Aylık Banka Bilgileri Raporu.

66

�1. International Symposium on Sustainable Development, June 9-10 2009, Sarajevo

Table 2. Overall Structure and Efficiency Indicators of the Banking Sector
Deposits/Employee
Employee
Employee
Total Assets
Total Loans
Total Deposits Numbers (thousand
Numbers/Bank
Years
Numbers
(thousand TL) (thousand TL) (thousand TL)
TL)
Numbers
137,495
216,507,617
57,341,438
147,520,532
1,073
2254
2001
118,329
212,675,488
56,370,271
142,387,988
1,203
2958
2002
123,249
249,749,773
69,990,148
160,812,250
1,305
2465
2003
127,163
306,451,565
103,241,145
197,393,862
1,552
2649
2004
132,258
381,639,902
148,641,794
244,633,655
1,850
2814
2005
150,793
484,857,262
218,063,925
312,832,244
2,075
3278
2006
167,760
561,171,879
280,453,091
356,983,744
2,128
3355
2007
170,425
655,434,000
356,096,000
418,839,000
2,458
3478
Sep2008
Source: Derived from TBB, (May 2008), Bankalarımız 2007, and the TBB, (September 2008), 3 Aylık Banka Bilgileri
Raporu.

The total assets in the balance sheet of the banking sector increased to TL 655 billion ($565 billion) in
September 2008 with a 16.8 percent increase. Increase in corporate and consumer loans supported growth in
total assets(TBB 2008). Total credits in the banking sector reached TL 356 billion by the end of 2008, with the
share of loans within total assets being 54.3 percent. The credit volume which was low to scale in the banking
sector was a factor that reduced risk in the crisis period (Bilgin 2009). 26.4 percent of the total assets in the
banking sector consist of securities. Since they are risk-free and liquid assets, the sector mainly prefer domestic
government bonds (BDDK 2008).
Table 3. Balance Sheet Structure of Banking System (%)
2001
2002
2003
2004
2005
2006
2007
Sep2008
na
Assets in TL/Total Assets
53.6
60.7
63.2
67.7
66.2
71.2
71.9
na
49.6
56.7
59.9
64.3
62.4
66.7
66.8
Liabilities in TL/Total Liabilities
na
42.1
50.7
55.2
63.2
61.6
65.1
66.0
Deposits in TL/Total Deposits
na
42.4
53.7
63.5
70.5
72.7
74.9
74.0
Credits in TL/Total Credits
68.9
67.0
64.4
64.4
63.9
64.5
63.6
63.9
Total Deposits/Total Assets
10.5
8.4
8.2
9.0
11.0
11.7
10.5
10.9
Credits Received/Total Assets
Source: Derived from TBB, (May 2008), Bankalarımız 2007-2006-2005-2004-2003-2002-2001, and the TBB, (September
2008), 3 Aylık Banka Bilgileri Raporu.

The share of credits within total assets increased, due to falling interest rates after 2005, to 54.3 percent
and the public sector borrowing requirement decreased, which caused the rate of conversion of deposits to
credits to increase (85 percent), thereby boosting the contribution of the banking sector to the non-financial
sector. Not only interest rates, but also creation of suitable maturity conditions were influential in this. Nonaccruing (delinquent) loans decreased in the post-2001 crisis restructuring process, but they started to increase
slowly --particularly with respect to consumer and commercial credits-- due to economic uncertainties in 2008.
Table 4. Asset Quality of Banks (%)
2001
2002
2003
2004
2005
2006
2007 Sep2008
35.0
40.5
42.8
40.4
36.0
34.7
31.3
28.7
Financial Assets (Net)/Total Assets
21.9
26.5
28.0
33.7
38.6
45.0
50.0
54.3
Total Credits/Total Assets
31.8
39.6
43.5
52.3
60.4
69.7
78.6
85.0
Total Credits/Total Deposits
19.9
6.6
1.4
0.7
0.5
0.3
0.4
0.5
Delinquent Credits (Net)/Total Credits
13.3
23.5
27.2
29.8
31.2
33.3
32.6
Consumer Credits/Total Credits
Source: Derived from TBB, (May 2008), Bankalarımız 2007-2006-2005-2004-2003-2002-2001, and the TBB, (September
2008), 3 Aylık Banka Bilgileri Raporu.

When the liquidity structure of the sector is examined, it can be seen that the share of liquid assets
within total assets decreased over the years to 29.4 percent. This implies that the banks still choose to direct
short term liabilities they assume not to liquid assets, but to the assets with lower liquidity.
Table 5. Liquidities of Banks (%)
2001
2002
2003
2004
2005
2006
2007
Sep.2008
32.0
34.3
38.8
37.4
39.9
39.6
37.1
29.4
Liquid Assets/Total Assets
na
75.1
80.5
84.3
74.8
65.3
62.4
47.6
Liquid Assets/Short Term Liabilities
na
12.9
19.0
17.6
22.7
21.3
23.1
17.9
Liquid Assets in TL/Total Assets
Source: Derived from TBB, (May 2008), Bankalarımız 2007-2006-2005-2004-2003-2002-2001, and the TBB, (September
2008), 3 Aylık Banka Bilgileri Raporu.

67

�1. International Symposium on Sustainable Development, June 9-10 2009, Sarajevo

Despite the rapid growth of equity, the capital adequacy ratio (Equity/Value at Credit + Market +
Operational Risk) deteriorated. This was attributable to the inclusion of operational risk to the capital adequacy
calculation as well as the growth in trade volume. The capital adequacy standard ratio decreased from 30.9
percent in 2003 to 17.7 percent in 2008. The net balance sheet position/equity ratio was -15.9 percent in 2008
(TBB 2008).
Table 6. Capital Adequacy of Banks (%)
2001 2002 2003 2004 2005 2006 2007 Sep.2008
na
24.2 30.9 28.8 24.2 22.0 19.1
17.7
Equity/(value at credit + market + operational risk)
9.0
12.1 14.2 15.0 13.5 12.0 13.1
12.2
Equity/Total Assets
na
-6.3
-2.5
-4.5
-5.1 -13.5 -14.0
-15.9
Net Balance Sheet Position/Equity
Source: Derived from TBB, (May 2008), Bankalarımız 2007-2006-2005-2004-2003-2002-2001, and the TBB, (September
2008), 3 Aylık Banka Bilgileri Raporu.

2.1.2. Concentration and Market Domination in the Turkish Banking Sector
Due to the financial crises of November 2000 and February 2001, the ensuing restructuring of the
banking sector and the unfavorable market conditions, many banks had to leave the sector, which created a
hard-to-bear burden for the state because of the unlimited guarantees provided for deposits. As a result, the
banking sector saw many changes, particularly stemming from consolidation efforts through mergers, and the
share of the banks which are considered as large scale because of the deposits they command increased. As an
explanation for this change, customer tendency toward opting for depositing money to big sized banks during a
financial crisis as well as changes in the market shares of banks are suggested. In short, market dominance by
big players increased. Consequently, there has been a rapid increase in concentration with respect to assets,
credits and deposits since 2000 (Yayla 2007).
When concentration and market dominance in the Turkish banking sector where the seven largest
banks are the leaders and which has an oligopolistic structure are examined, one can see that the share in sector
assets of the seven banks which are largest according to total assets was 62 percent in 2008 while the sector
share of the ten largest banks was 85 percent. The share of the five banks which are largest according to
deposits was 64 percent while the share of the ten largest banks was 83 percent. There was a drop in
concentration for the ten largest banks. There was no change in concentration for the five largest banks in terms
of credits while the concentration for the ten largest banks rose to 89 percent (TBB Sep 2008 &amp; TBB May
2008).
Table 7. Concentration in the Turkish Banking Sector (%)
2001
2002
2003
2004
2005
2006
2007
2008
Five Largest Banks
56
58
60
60
63
63
62
62
Total Assets
55
61
62
64
66
64
64
64
Total Deposits
49
55
54
48
56
58
57
57
Total Credits
Ten Largest Banks
80
81
82
84
85
86
85
85
Total Assets
81
86
86
88
89
90
89
83
Total Deposits
80
74
75
77
80
93
83
89
Total Credits
Source: Derived from TBB, (May 2008), Bankalarımız 2007-2006-2005-2004-2003-2002-2001, and the TBB, (September
2008), 3 Aylık Banka Bilgileri Raporu.

The following Herfindahl-Hirschman Index (HHI) was used to study the market structure of the
Turkish banking sector on performance and explain the concentration in the sector.
Herfindahl-Hirschman Index
Herfindahl-Hirschman Index (HHI) is used to measure the market concentration as part of a market
structure analysis. It is defined as the sum of the squares of the market shares of all firms (banks) (Bikker 2004).
If the total of market shares is expressed as 100, the HHI ranges between 0 and 10,000. Thus,
- 0 - 199 (full competition market, 51 or more banks having equal market shares)
- 200 - 999 (weak oligopolistic, 11 - 50 banks having equal market shares)
- 1,000 - 1,799 (strong oligopolistic, 6 - 10 banks having equal market shares)
- 1,800 - 10,000 (monopolistic, 1 - 5 banks having equal market shares) (Yetim &amp; Gülhan 2005).

68

�1. International Symposium on Sustainable Development, June 9-10 2009, Sarajevo

Table 8. HHI Values (All Sector)
2001
2002
2003
2004
2005
2006
2007
Sep.2008
809.1
865.4
928.6
937.4
966.6
959.5
938.5
937.26
Total Assets
762.2
740.8
737.2
744.5
798.4
858.5
849.3
854.64
Total Credits
817.7
960.2
1041
1117.5
1093.2
1072.2
1063.9
1052.22
Total Deposits
Source: Derived from TBB, (May 2008), Bankalarımız 2007-2006-2005-2004-2003-2002-2001, and the TBB, (September
2008), 3 Aylık Banka Bilgileri Raporu.

According to the calculations, the asset and credit concentration in the Turkish banking sector were
considerably close to each other while there was a greater concentration in deposits. The highest HHI value was
1,117.5 observed in the deposits market in 2004. With respect to assets and credits, the sector's HHI value was
found to be below 1,000 in the period 2001-2008 examined, which implies concentration toward a strong
oligopolistic structure. It was unconcentrated in terms of deposits until 2002, after which moderate
concentration was observed. In this regard, the Turkish banking sector shifted toward a strong oligopolistic
structure in terms of assets and credits through mergers and acquisitions.
Table 9. HHI Values for Asset Sizes (Five Largest and Ten Largest Banks)
2001
2002
2003
2004
2005
2006
2007
Sep.2008
668.5
733.7
793.7
771.7
820.7
809.3
785.4
781.4
Five Largest Banks
Total Assets
790.1
846.6
911.7
920.2
952.7
941.7
920.5
920
Ten Largest Banks
583.1
627.1
593.7
579.3
646,4
683.2
659.7
662.5
Five Largest Banks
Total Credits Ten Largest Banks
646
685.8
677.8
701.4
768,3
828.2
821.8
828.5
683.4
827.9
882.1
914.2
919
894.9
883.7
857.9
Five Largest Banks
Total Deposits Ten Largest Banks
805.6
948.7 1028.9
1106 1082.4 1039.9 1048.2
1038.7
Source: Derived from TBB, (May 2008), Bankalarımız 2007-2006-2005-2004-2003-2002-2001, and the TBB, (September
2008), 3 Aylık Banka Bilgileri Raporu.

When the sector was examined with respect to five and ten largest banks, the situation was similar to
the overall situation. Customers tend to opt for bigger banks in which they have confidence while smaller banks
act more aggressive in the credit market to boost their market share. It can be said that smaller banks offer
higher interest rates and take higher credit risks in order to secure higher amounts of deposits. This can be
regarded as a behavior with some ethical risks. On the other hand, the reason why bigger banks have lower
shares in the credit market is that the big banks operating in Turkey tend to keep domestic government bonds
with zero risk in their portfolios.
2.1.3. Proposals for Increasing Effectiveness and Competitiveness in the Turkish Banking Sector
The following table contains a SWOT analysis that may serve for better understanding the Turkish
banking sector and its competitiveness, and the strengths, weaknesses, opportunities, and threats involved in the
sector were depicted.
Table 10. SWOT Analysis for the Turkish Banking Sector
Threats
Weaknesses
- Restricted guarantee for deposits
- Lack of qualified personnel
- Increased transparency toward clients
- Technological inadequacy
- Lower interest rates and margins
- Lack of funds for R&amp;D
- Non-banking competition
- High costs
- New technical standards
- Low effectiveness and efficiency
- Problems in adapting to changes in legislation
- Inadequacy of competitiveness
- Economic and financial uncertainty
- Insufficient product and service diversification
- Crisis periods and decreased effectiveness in the sector - Lack of independent audit
- Increased interest from foreign banks
- Insufficient transparency
- Concentration
Opportunities
Strengths
- Less restrictive controls on prices and products
- Multiple technology products
- Developing alternative resource creation
- Increased risk, credit and liquidity
management
- Easer access to market
- Larger local market
- Increased client base knowledge
- Easier cross-border entry
- Confidence and prestige increase
- Improved capability for attracting deposits
- Young and dynamic population

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- More non-price competition
- Products and services with high value added
- Cooperation and partnerships
- Multiple technology products
- High quality
- Improvement of the sector
- Restructuring of the public, private and Savings
Deposit Insurance Fund (TMSF) controlled banks
- Decreased restrictions to market entry and transition
from oligopolistic competition to competitive
environment thanks to legal arrangements, technological
and information technology developments
- Inflow of foreign capital

- Rising rates of conversion of deposits to
credits
- Increased quality in product and service
provision
- Banks' finding new sources of income and
adopting cost minimizing strategies and
introducing organizational changes for
expanding their customers' base and credit
portfolios
- Improved credit volume and more efficient use
of resources

Source: The SWOT analysis was made based on the assessments done within the context of the study.

2.2. Overall Structure of the EU Banking Sector, and its Competitiveness and Market Domination
Globalization and financial liberalization in the world have triggered a fundamental change in the
financial system in the EU. The integration of the financial system within the EU started, making markets
homogeneous, fostering mergers among financial intermediaries, and resulting in new products and techniques.
The Economic and Monetary Union (EMU) (January 1, 1999) accelerated the integration process in the
financial system. Boundaries between national financial markets have largely lost importance (Yücememiş
2005). Due to the structural harmonization with the EMU interest rates, the profit margins and net interest
margins of the banks in the EU have gradually decreased as was the case in Turkey. Thus, income structures of
banks shifted away from interest incomes toward non-interest incomes.
Today, big finance groups in Europe essential fail to secure a very rapid growth and high rates of
profitability housing finance, consumer credits, credit cards and other areas in their respective countries because
of the competitive pressures, market saturation, difficulties in increasing assets and decreasing incomes in
domestic markets. This urges them to seek alternative markets and the countries whose finance groups that enter
international markets become strong with respect to capital and earn experience at the international level. The
next step for the European countries is to attain economies of scale with their operations, diversify their
products, disperse risk, minimize costs and improve quality of their services.
Increased competition in the EU finance sector has made it compulsory for firms to boost their
effectiveness and efficiency. To maintain financial stability, effective supervision has emerged as an essential
requirement. In addition, the sector should be able to satisfy customer demands, provide information and
consultation services to customers, adapt to technological changes, and develop marketing strategies in order to
attain stability (Yücememiş 2005).
2.2.1. EU Member Countries with Developed Economies
Germany, Austria, Belgium, the Netherlands, Italy, France and the UK were picked for analysis from
the EU member countries with developed countries. When the following tables are examined, one can see that
concentration rates increased in these countries with developed economies through mergers and acquisitions,
which led to serious structural changes with respect to new strategic moves. When the banks from the EU
member countries acquire or merge with the banks in other countries, this leads to an increase in the overall
assets within the union. Although there is not a big difference between the number of banks and branches in
Italy and those in France, its asset size was almost half of France's.
Table 11. Total Assets of the Banking System of Selected Developed EU Member Countries (€ million)
2001
2002
2003
2004
2005
2006
2007
6,268,700 6,370,194 6,393,503 6,584,388
6,826,534
7,120,805
7,562,431
Germany
554,528
586,459
635,348
721,159
789,770
890,747
573,384
Austria
776,173
774,330
828,557
914,391
1,055,270
1,121,905
1,297,788
Belgium
1,265,906 1,356,397 1,473,939 1,677,583
1,695,325
1,873,129
2,195,020
Netherlands
1,851,990 2,024,156 2,125,366 2,275,628
2,509,436
2,793,436
3,331,830
Italy
3,768,943 3,831,610 3,998,554 4,419,045
5,073,388
5,728,127
6,682,335
France
5,829,766 5,853,959 6,288,193 7,085,205
8,526,509
9,868,683
10,093,134
UK
TURKEY (million TL)
216,507
212,675
249,749
306,451
381,639
484,857
561,171
Source: Compiled from European Central Bank, October 2006, EU Banking Structures and European Central Bank, October
2008, EU Banking Structures.

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Table 12. Concentration Index (HHI) of the Banking System of Selected Developed EU Member Countries (By
Asset Size)
2001
2002
2003
2004
2005
2006
2007
158
163
173
178
174
178
183
Germany
561
618
557
552
560
534
527
Austria
1,587
1,905
2,063
2,102
2,112
2,041
2,079
Belgium
1,762
1,788
1,744
1,726
1,796
1,822
1,928
Netherlands
270
240
230
230
220
330
260
Italy
551
597
623
758
726
679
606
France
282
307
347
376
399
394
449
UK
TURKEY
809.1
865.4
928.6
937.4
966.6
959.5
938.5
Source: Compiled from European Central Bank, October 2006, EU Banking Structures and European Central Bank, October
2008, EU Banking Structures.

A comparison between developed countries and Turkey reveals that Turkey lags considerably behind
these countries in terms of bank and branch numbers as well as total asset size. Moreover, it can be asserted that
according to the concentration index, Turkish banking sector has moved toward the strong oligopolistic position
and that it has lower rates of conversion of total deposits to credits compared to these countries.
2.2.2. Developing EU Member Countries
Spain, Greece, Portugal and Finland were picked from among the developing EU member countries. It
was found that in these countries, the number of banks decreased while the number of branches increased. This
can be explained by the fact that with membership to the EU, mergers and acquisitions with the banks from
other countries increased, thereby boosting concentration. This is also obvious from the increase in the total
asset size.
Table 13. Total Assets of the Banking System of Selected Developing EU Member Countries (€ million)
2001
2002
2003
2004
2005
2006
2007
1,247,998 1,342,492 1,502,861 1,717,364 2,149,456 2,515,527 2,945,262
Spain
202,736
201,608
213,171
230,454
281,066
315,081
383,293
Greece
298,428
310,370
348,691
345,378
360,190
397,123
440,144
Portugal
163,416
165,661
185,846
212,427
234,520
255,055
287,716
Finland
TURKEY (million TL)
216,507
212,675
249,749
306,451
381,639
484,857
561,171
Source: Compiled from European Central Bank, October 2006, EU Banking Structures and European Central Bank, October
2008, EU Banking Structures.

Table 14. Concentration Index (HHI) of the Banking System of Selected Developing EU Member Countries
(By Asset Size)
2001
2002
2003
2004
2005
2006
2007
532
513
506
482
487
442
459
Spain
1,113
1,164
1,130
1,070
1,096
1,101
1,096
Greece
991
963
1,043
1,093
1,154
1,134
1,097
Portugal
2,240
2,050
2,420
2,680
2,730
2,560
2,540
Finland
TURKEY
809.1
865.4
928.6
937.4
966.6
959.5
938.5
Source: Compiled from European Central Bank, October 2006, EU Banking Structures and European Central Bank, October
2008, EU Banking Structures.

When these figures are compared with the figures related to the Turkish banking sector, it can be seen
that the number of banks is lower than those in these countries while the number of branches is higher thanks to
mergers with foreign banks. With respect to total assets, total deposits and total credits in the banking sector,
there is no significant difference between these countries and Turkey. For this reason, it can be suggested that
Turkey, being a candidate country, has economic structure similar to this group of countries and the
harmonization of its banking sector can be considered as sufficient.
2.2.3. EU Member Countries with Transition Economy
The Czech Republic, Hungary, Romania, Bulgaria, Poland and Estonia were selected from the EU
member countries with transition economy. While these countries have different development levels and
economic volumes, their banking sectors showed growth after they joined the union, as seen in the tables.
Particularly in the Czech Republic and Hungary, economic development level was higher and banking sector

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had investments in international markets before the 2008 crisis, and this boosted mergers and acquisitions with
the banks in other countries and the number of banks decreased while the number of branches increased. In
other countries, particularly in Estonia, the number of banks and branches quickly increased, which can be
regarded as an economic advantage of being a member of the union.
Table 15. Total Assets of the Banking System of Selected EU Member Countries with Transition Economy (€
million)
2001
2002
2003
2004
2005
2006
2007
78,188
79,232 78,004
87,104 100,902 114,878 140,004
Czech Republic
38,433
43,564 54,769
64,970
78,289
93,679 108,504
Hungary
na
na
15,000
23,200
35,400
51,911
72,095
Romania
13,224
17,447
22,302
31,238
na
na
9,254
Bulgaria
116,044 112,174 141,571 163,421 189,739 236,008
133,476
Poland
4,372
5,221
6,314
8,586
11,876
15,326
20,603
Estonia
TURKEY (million TL)
216,507
212,675 249,749 306,451 381,639 484,857 561,171
Source: Compiled from European Central Bank, October 2006, EU Banking Structures and European Central Bank, October
2008, EU Banking Structures.

Table 16. Concentration Index (HHI) of the Banking System of Selected EU Member Countries with Transition
Economy (By Asset Size)
2001
2002
2003
2004
2005
2006
2007
1,263
1,199
1,187
1,103
1,155 1,104
1,100
Czech Republic
856
783
798
795
823
839
892
Hungary
na
na
1,251
1,111
1,115 1,165
1,041
Romania
na
na
na
721
698
707
833
Bulgaria
821
792
754
692
650
599
640
Poland
4,067
4,028
3,943
3,887
4,039 3,593
3,410
Estonia
TURKEY
809.1
865.4
928.6
937.4
966.6 959.5
938.5
Source: Compiled from European Central Bank, October 2006, EU Banking Structures and European Central Bank, October
2008, EU Banking Structures.

Comparison of these figures with the figures related to the Turkish banking sector indicates that there
is no significant difference with respect the number of banks, but the number of branches is higher in Turkey
thanks to mergers with foreign banks. In terms of total asset size, total deposits and total credits, Turkey is out
in the lead ahead of the EU member countries with transition economies, and in this respect, it can regarded as
ready for membership to the EU. As for the HHI, it can be seen that the Turkish banking sector is shifting
toward the strong oligopolistic structure as regards the economic and sector size in Turkey.

Conclusion
Today, non-price competition has increased. Competitiveness can only be ensured via rise in
efficiency, and income obtained from this increase may boost welfare in the country. Securing a competitive
edge and/or increasing competitiveness will depend on effective and rational competition strategies developed.
Increased market dominance results in increased concentration, which in turn decreases level of competition in
the markets. Competition among banks undermines market power of banks, causing a decline in their profit
margins. Under the increased competitive pressures from the non-sector financial organizations and markets,
banks are urged to engage in insurance, private banking and asset management and other non-interest bearing
operations. They try to adapt to the rapidly changing competitive environment through internal growth or
merger and acquisition strategies.
Despite the fluctuations and increased risk in international markets, the Turkish banking sector has
managed to boost corporate and consumer loans. The public sector borrowing requirement has decreased,
creating proper maturity and interest conditions and causing the rate of conversion of deposits to credits to
increase, thereby boosting the contribution of the banking sector to the non-financial sector. Moreover, the
Turkish banking sector has acted cautiously, preserving its profitability and increasing its non-interest income.
Competition in the sector has led to a drop in cost and made resource distribution more effective and boosted
efficiency and effectiveness. According to the Herfindahl-Hirschman (HHI), the concentration in the Turkish
banking sector implies a strong oligopolistic structure where big banks are dominant in the market. However, in
parallel to efforts for restructuring and integration with international markets, large scale institutional changes
as well as changes to the products and services provided have been introduced. In this regard, the Turkish
banking sector can be regarded as one of the most well-prepared sectors for harmonization with the EU,
particularly with respect to openness to competition and legal arrangement. Nevertheless, on a global scale, the

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Turkish banking sector is still small in terms of volume of assets, deposits and credits. The competitive
environment in the sector fosters innovation and quality. Due to change in its assets and liabilities structure, the
sector will continue to be vulnerable to liquidity, exchange and interest rate related risk. However, the Banking
Regulation and Supervision Agency (BDDK) regularly issued guiding notices and explanations for the sector in
2008, and the sector seems to be capable of cautiously acting by the lesson it learned in the 2001 crisis. Yet, the
Turkish banking sector may feel the heat from the high level of debts by non-financial economy and limited
borrowing opportunities. If public authorities may implement policies for increasing production by bringing
relief to non-financial sector and for warding off the pressure on the financial sector, this may result in a slight
increase in economic performance and growth rate in 2009.

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ARICAN, Erisah</text>
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                <text>It is of vital importance for the finance sector and its pioneering child, the banking  sector, to boost and maintain competitiveness and market domination in a globalizing world.  In the Turkish banking sector, a significant progress has been made with respect to making  legal and institutional arrangements for regulatory and supervision authorities and  implementing and auditing decisions taken within the context of harmonization with the EU.  Due to increasing competition and rapid technological developments in the banking sector,  financial products and services have been diversified and new strategies and policies have  been implemented and rate of inflow of foreign capital has gathered momentum. It is  noteworthy that the Turkish banking sector has an oligopolistic structure and it has ratios  similar to the banking ratios of the developing countries that are EU members. Moreover, it  is obvious that the Turkish banking system is more robust than transition economies.</text>
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