BibTex RIS Kaynak Göster

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Yıl 2014, Cilt: 28 Sayı: 3, 0 - , 18.07.2014

Mehmet Karacuka Ertuğrul Deliktaş Halil Tunca

Öz

The continuous increase in the demand for agricultural products with the limited resources makes productivity increases imperative. Furthermore, the growth in the agricultural productivity is also one of the main factors of sustainable development especially for developing countries in which the agricultural sector is more influential on the economic structure and employment. In this study, we measure long term agricultural (dynamic) efficiencies of Turkey and 26 European Union (EU) countries between the years 1992-2006 using the Dynamic Data Envelopment Analysis approach which allows to model intertemopral behaviours of decision makers. Our results show that more developed countries in the European Union have also higher overall dynamic efficiencies. For the study period, the overall dynamic efficiency score for Turkey is found as 0.520. In contrast with the most of the European Union countries, the static factors play more dominant role for the inefficiency of the agriculture sector in Turkey.

Anahtar Kelimeler

Dynamic data envelopment analysis agriculture efficiency European Union Turkey.

Kaynakça

  • Arnade, C. (1998). Using a programming approach to measure international agricultural efficiency and productivity, Journal of Agricultural Economics, 49, 67-84
  • Ball, V., Eldon, B., Butault, J.P., ve Nehring, R. (2001). Levels of farm sector productivity: An international comparison, Journal of Productivity Analysis, 15, 5-29.
  • Chavas, J.P., (2001). An international analysis of agricultural productivity, Zepeda, L. (ed.), Agricultural Investment and Productivity in Developing Countries, FAO, Rome
  • Coelli T., ve Prasada, R. (2003). Total factor productivity growth in agriculture: A malmquist index analysis of 93 countries, 1980-2000, Working Paper Series, No: 02/2003, CEPA.
  • Deliktaş E., Ersungur, Ş.M. ve Candemir, M. (2005). The comparison of agricultural efficiency and productivty growth in the EU and Turkey, 1980-2002, Int. J. Of Bussiness, Management and Economics, 1 (1), 109-1
  • Emrouznejad, A., ve Thanassoulis, E. (2005). A mathematical model for dynamic efficiency using data envelopment analysis, Applied Mathematics and Computation, 160, 363-378.
  • Fulginiti, L., ve Perrin, R. (1993). Price and productivity in agriculture, Review of Economics and Statitics, 75, 471-482.
  • Fulginiti, L., ve Perrin, R. (1997). LDC agriculture: Nonparametric malmquist productivity indexes, Journal of Development Economics, 53, 373-390. Fulginiti, L., ve Perrin, R. (1999). Have price policies damaged LDC agricultural productivity?, Contemporary Economic Policy, 17(4), 4694
  • Hu, F. ve Antle, J. (1993). Agricultural policy and productivity: International evidence, Review of Agricultural Economics, 15 (3), 495-505
  • Kawagoe, T. ve Hayami, Y. (1983). The production structure of world agriculture: An intercountry cross-section analysis, The Developing Economies, 21 (3) 189-206.
  • Kawagoe, T. ve Hayami, Y. (1985). An intercountry comparison of agricultural production efficiency, American Journal of Agricultural Economics, 67 (1), 87-92.
  • Lissitsa, A., Rungsuriyawiboon, S ve Parkhomenko, S. (2007). How far are the transition countries from the economic standards of the European Union?, Eastern European Economics, 45 (3), 51-75.
  • Lusigi, A. ve Thirtle, C. (1997). Total factor productivity and the effects of R&D in African agriculture, Journal of International Development, 9 (4), 529-538.
  • Martin, W. ve Mitra, D. (1999). Productivity growth and convergence in agriculture and manufacturing, Agriculture Policy Research Working Papers, No:2171, World Bank.
  • Nemoto, J. ve Goto, M. (1999). Dynamics Data Envelopment Analysis: modeling intertemporal behavior of a firm in the presence productive inefficiencies, Economics Letters, 64, 51-56.
  • Nemoto, J. ve Goto, M. (2003). “Measurement of dynamic efficiency in production: An application of data envelopment analysis to Japanese electric utilities”, Journal of Productivity Analysis, 19, 191-210.
  • Nin, A., Arndt, C. ve Preckel, P. (2003). Is agricultural productivity in developing countries really shrinking? New evidence using a modified nonparametric approach, Journal of Development Economics, 71, 3954
  • Ortega, C. ve Lederman, D. (2004). Agricultural productivity and its determinants: Revisiting international experiences, Estudios Economia, 31, (2), 133-163.
  • Pinstrup-Anderson, P., Pandya-Lorch, R. ve Rosegrant, M. W. (1999). World Food Prospects: Critical Issues for the Early Twenty-First Century, Food Policy Report, Washington DC., IFPRI.
  • Rao, P. (1993). Intercountry comparison of agricultural output and productivity, FAO Economic and Social Development Paper No.112, FAO.
  • Rao, P., Tim C. ve Alauddin, M. (2004). Agricultural productivity growth, employment and poverty in developing countries, 1970-2000, Employment Strategy Papers, Centre for Efficiency and Productivity Analysis (CEPA), School of Economics, University of Queensland, Brisbane.
  • Sengupta, J. K. (1999). A dynamic efficiency model using data envelopment analysis, International Journal of Production Economics, 62, 209-218. Serrao, A.(2003). Agricultural productivity analysis of European Union and Eastern Regions, American Agricultural Economics Association Annual Meetings, Montreal, Canada.
  • Suhariyanto, K. ve Thirtle, C.. (2001). Asian agricultural productivity and convergence, Journal of Agricultural Economics, 52 (3), 96-110.
  • Svetlov N. ve Hockmann, H. (2007). Long-term efficiency of the Moscow region corporate farms during transition (evidence from dynamic DEA), Chinese Economist Society European Conference, Portorah, Slovenia.
  • Trueblood, M.A. ve Coggins, J. (2003). Intercountry agricultural efficiency and productivity: A malmquist index approach, mimeo, World Bank
  • Wiebe, K., M., Soule, C. ve Breneman, N., V. (2000). Resource quality and agricultural productivity: A multi-country comparison, Annual Meetings of the American Agricultural Economics Association.
  • Yan, L. (2005). Investment and dynamic DEA with an application to Chinese Hospitals, yayınlanmamış doktora tezi, Universite Du Quebec A Montreal.

AB ÜLKELERİ KARŞISINDA TÜRK TARIMININ REKABET GÜCÜ: DİNAMİK VERİ ZARFLAMA ANALİZİ

Yıl 2014, Cilt: 28 Sayı: 3, 0 - , 18.07.2014

Mehmet Karacuka Ertuğrul Deliktaş Halil Tunca

Öz

 

ÖZET

Tarım sektöründe gerçekleştirilecek verimlilik artışı özellikle gelişmekte olan ülkeler için sürdürülebilir bir ekonomik büyümenin temel kaynağı olarak gösterilmektedir. Sürdürülebilir büyümenin sağlanabilmesi için kaynakların optimal düzeyde dağıtılması ve maksimum verimin elde edilmesi gerekmektedir. Bu çalışmada Türkiye ve 26 Avrupa Birliği üyesi ülkelerin tarımsal etkinlik düzeyleri 1992-2006 dönemini için ölçülmektedir. Uzun dönem etkinlik düzeylerinin ölçülmesinde ekonomik karar birimlerinin dönemlerarası davranışlarının modellenmesine olanak veren Dinamik Veri Zarflama Analizi Yaklaşımı kullanılmıştır. Çalışma bulgularına göre Avrupa Birliği içinde gelişmiş ülkelerin dinamik etkinlik skorları diğer ülkelere göre daha yüksek düzeylerdedir. Türkiye’nin dinamik etkinlik skoru ise 0.520 olarak ölçülmüştür. Çoğu Avrupa Birliği üyesi ülkelerin aksine Türkiye tarımında genel etkinsizliğin kaynağı olarak statik faktörlerin daha dominant olduğu görülmüştür.

Anahtar Kelimeler: Dinamik Veri Zarflama Analizi, tarım, etkinlik, Avrupa Birliği, Türkiye. 

 

Anahtar Kelimeler

Dinamik Veri Zarflama Analizi tarım etkinlik Avrupa Birliği Türkiye.

Kaynakça

  • Arnade, C. (1998). Using a programming approach to measure international agricultural efficiency and productivity, Journal of Agricultural Economics, 49, 67-84
  • Ball, V., Eldon, B., Butault, J.P., ve Nehring, R. (2001). Levels of farm sector productivity: An international comparison, Journal of Productivity Analysis, 15, 5-29.
  • Chavas, J.P., (2001). An international analysis of agricultural productivity, Zepeda, L. (ed.), Agricultural Investment and Productivity in Developing Countries, FAO, Rome
  • Coelli T., ve Prasada, R. (2003). Total factor productivity growth in agriculture: A malmquist index analysis of 93 countries, 1980-2000, Working Paper Series, No: 02/2003, CEPA.
  • Deliktaş E., Ersungur, Ş.M. ve Candemir, M. (2005). The comparison of agricultural efficiency and productivty growth in the EU and Turkey, 1980-2002, Int. J. Of Bussiness, Management and Economics, 1 (1), 109-1
  • Emrouznejad, A., ve Thanassoulis, E. (2005). A mathematical model for dynamic efficiency using data envelopment analysis, Applied Mathematics and Computation, 160, 363-378.
  • Fulginiti, L., ve Perrin, R. (1993). Price and productivity in agriculture, Review of Economics and Statitics, 75, 471-482.
  • Fulginiti, L., ve Perrin, R. (1997). LDC agriculture: Nonparametric malmquist productivity indexes, Journal of Development Economics, 53, 373-390. Fulginiti, L., ve Perrin, R. (1999). Have price policies damaged LDC agricultural productivity?, Contemporary Economic Policy, 17(4), 4694
  • Hu, F. ve Antle, J. (1993). Agricultural policy and productivity: International evidence, Review of Agricultural Economics, 15 (3), 495-505
  • Kawagoe, T. ve Hayami, Y. (1983). The production structure of world agriculture: An intercountry cross-section analysis, The Developing Economies, 21 (3) 189-206.
  • Kawagoe, T. ve Hayami, Y. (1985). An intercountry comparison of agricultural production efficiency, American Journal of Agricultural Economics, 67 (1), 87-92.
  • Lissitsa, A., Rungsuriyawiboon, S ve Parkhomenko, S. (2007). How far are the transition countries from the economic standards of the European Union?, Eastern European Economics, 45 (3), 51-75.
  • Lusigi, A. ve Thirtle, C. (1997). Total factor productivity and the effects of R&D in African agriculture, Journal of International Development, 9 (4), 529-538.
  • Martin, W. ve Mitra, D. (1999). Productivity growth and convergence in agriculture and manufacturing, Agriculture Policy Research Working Papers, No:2171, World Bank.
  • Nemoto, J. ve Goto, M. (1999). Dynamics Data Envelopment Analysis: modeling intertemporal behavior of a firm in the presence productive inefficiencies, Economics Letters, 64, 51-56.
  • Nemoto, J. ve Goto, M. (2003). “Measurement of dynamic efficiency in production: An application of data envelopment analysis to Japanese electric utilities”, Journal of Productivity Analysis, 19, 191-210.
  • Nin, A., Arndt, C. ve Preckel, P. (2003). Is agricultural productivity in developing countries really shrinking? New evidence using a modified nonparametric approach, Journal of Development Economics, 71, 3954
  • Ortega, C. ve Lederman, D. (2004). Agricultural productivity and its determinants: Revisiting international experiences, Estudios Economia, 31, (2), 133-163.
  • Pinstrup-Anderson, P., Pandya-Lorch, R. ve Rosegrant, M. W. (1999). World Food Prospects: Critical Issues for the Early Twenty-First Century, Food Policy Report, Washington DC., IFPRI.
  • Rao, P. (1993). Intercountry comparison of agricultural output and productivity, FAO Economic and Social Development Paper No.112, FAO.
  • Rao, P., Tim C. ve Alauddin, M. (2004). Agricultural productivity growth, employment and poverty in developing countries, 1970-2000, Employment Strategy Papers, Centre for Efficiency and Productivity Analysis (CEPA), School of Economics, University of Queensland, Brisbane.
  • Sengupta, J. K. (1999). A dynamic efficiency model using data envelopment analysis, International Journal of Production Economics, 62, 209-218. Serrao, A.(2003). Agricultural productivity analysis of European Union and Eastern Regions, American Agricultural Economics Association Annual Meetings, Montreal, Canada.
  • Suhariyanto, K. ve Thirtle, C.. (2001). Asian agricultural productivity and convergence, Journal of Agricultural Economics, 52 (3), 96-110.
  • Svetlov N. ve Hockmann, H. (2007). Long-term efficiency of the Moscow region corporate farms during transition (evidence from dynamic DEA), Chinese Economist Society European Conference, Portorah, Slovenia.
  • Trueblood, M.A. ve Coggins, J. (2003). Intercountry agricultural efficiency and productivity: A malmquist index approach, mimeo, World Bank
  • Wiebe, K., M., Soule, C. ve Breneman, N., V. (2000). Resource quality and agricultural productivity: A multi-country comparison, Annual Meetings of the American Agricultural Economics Association.
  • Yan, L. (2005). Investment and dynamic DEA with an application to Chinese Hospitals, yayınlanmamış doktora tezi, Universite Du Quebec A Montreal.
Toplam 27 adet kaynakça vardır.

Ayrıntılar

Birincil Dil Türkçe
Bölüm Makaleler
Yazarlar

Mehmet Karacuka

Ertuğrul Deliktaş

Halil Tunca Bu kişi benim

Yayımlanma Tarihi 18 Temmuz 2014
Yayımlandığı Sayı Yıl 2014 Cilt: 28 Sayı: 3

Kaynak Göster

APA Karacuka, M., Deliktaş, E., & Tunca, H. (2014). AB ÜLKELERİ KARŞISINDA TÜRK TARIMININ REKABET GÜCÜ: DİNAMİK VERİ ZARFLAMA ANALİZİ. Atatürk Üniversitesi İktisadi Ve İdari Bilimler Dergisi, 28(3). https://doi.org/10.16951/iibd.75584
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