Journals / Atatürk Üniversitesi İktisadi ve İdari Bilimler Dergisi / 2014 / Cilt: 28 - Sayı: 3

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

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Publication Date
2014-07-18
DOI
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

Our results show that more developed countries in the European Union have also higher overall dynamic efficiencies.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:The continuous increase in the demand for agricultural products with the limited resources makes productivity increases imperative.
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Key Findings & Data: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.
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Conclusion & Impact:Our results show that more developed countries in the European Union have also higher overall dynamic efficiencies.
🔬Design:Modeling & Simulation
📍Scope:2006 Verileri
⚙️Variables:Dinamik Veri Zarflama Analizi · tarım · etkinlik

Abstract

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.

Özet

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.

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Cite This Article

KARACUKA, M., DELİKTAŞ, E., TUNCA, H. (2014). AB ÜLKELERİ KARŞISINDA TÜRK TARIMININ REKABET GÜCÜ: DİNAMİK VERİ ZARFLAMA ANALİZİ. Atatürk Üniversitesi İktisadi ve İdari Bilimler Dergisi, Cilt: 28 - Sayı: 3, 0. https://ajindex.com/articles/18961

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References (15)

  1. Arnade, C. (1998). Using a programming approach to measure international agricultural efficiency and productivity, Journal of Agricultural Economics, 49, 67-84
  2. 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.
  3. 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,
  4. Working Paper Series, No: 02/2003,
  5. 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,
  6. Int. J. Of Bussiness, Management and Economics, 1 (1), 109-1
  7. Emrouznejad, A., ve Thanassoulis, E. (2005). A mathematical model for dynamic efficiency using data envelopment analysis, Applied Mathematics and Computation, 160, 363-378.
  8. Fulginiti, L., ve Perrin, R. (1993). Price and productivity in agriculture, Review of Economics and Statitics, 75, 471-482.
  9. Fulginiti, L., ve Perrin, R. (1997). LDC agriculture: Nonparametric malmquist productivity indexes, Journal of Development Economics, 53, 373-390.
  10. 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
  11. Kawagoe, T. ve Hayami, Y. (1983). The production structure of world agriculture: An intercountry cross-section analysis, The Developing Economies, 21 (3) 189-206.
  12. Kawagoe, T. ve Hayami, Y. (1985). An intercountry comparison of agricultural production efficiency, American Journal of Agricultural Economics, 67 (1), 87-92.
  13. 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.
  14. 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.
  15. 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