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Analysis of the Ef f iciency Determinants of Turkey’s Agriculture Sector by Two-Stage Data Envelopment Analysis (DEA)

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  • Hande ERDOGAN AKTAN

    (Akdeniz University, Faculty of Economics and Administrative Sciences, Department of Business Management)

  • Pinar KAYA SAMUT

    (Akdeniz University, Faculty of Economics and Administrative Sciences, Department of Business Management)

Abstract

In the country-wide providing the efficiency will only be provided by distributing the resources in the non-efficient provinces and regions well-balanced by correcting the deficiencies and by building separate plans. For this purpose, the efficiency of Turkey’s agriculture sector in 2009 on the basis of provinces and regions by using two-stage data envelopment analysis (DEA) method is analyzed, the factors that have an impact on productivity are determined and the differences between provinces and regions are focused on. Firstly, an input-oriented DEA was performed by using 4 inputs and 1 output under variable returns to scale assumption. While the average technical efficiency was found to be 75%, it was understood that the cost of agricultural labour force and energy needed to be reduced. Secondly, the Tobit regression model was used to analyse the relation between the technical efficiency values of the provinces and the variables considered to have an external impact on the agricultural productivity. As a result of the predicted model; precipitation per m2, the households engaged in agriculture, literacy ratio and ratio of asphalt roads were determined as variables which contribute the agricultural efficiency of the provinces. Furthermore, regional efficiency differences were observed and results were evaluated.

Suggested Citation

  • Hande ERDOGAN AKTAN & Pinar KAYA SAMUT, 2013. "Analysis of the Ef f iciency Determinants of Turkey’s Agriculture Sector by Two-Stage Data Envelopment Analysis (DEA)," Ege Academic Review, Ege University Faculty of Economics and Administrative Sciences, vol. 13(1), pages 21-28.
  • Handle: RePEc:ege:journl:v:13:y:2013:i:1:p:21-28
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    References listed on IDEAS

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    1. Helfand, Steven M. & Levine, Edward S., 2004. "Farm size and the determinants of productive efficiency in the Brazilian Center-West," Agricultural Economics, Blackwell, vol. 31(2-3), pages 241-249, December.
    2. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    3. Joachim Binam & Kalilou Sylla & Ibrahim Diarra & Gwendoline Nyambi, 2003. "Factors Affecting Technical Efficiency among Coffee Farmers in Côte d’Ivoire: Evidence from the Centre West Region," African Development Review, African Development Bank, vol. 15(1), pages 66-76.
    4. Simar, Leopold & Wilson, Paul W., 2007. "Estimation and inference in two-stage, semi-parametric models of production processes," Journal of Econometrics, Elsevier, vol. 136(1), pages 31-64, January.
    5. Hsu, Shih-Hsun & Yu, Ming-Miin & Chang, Ching-Cheng, 2003. "An Analysis Of Total Factor Productivity Growth In China'S Agricultural Sector," 2003 Annual meeting, July 27-30, Montreal, Canada 22227, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    6. Tim Coelli & Sanzidur Rahman & Colin Thirtle, 2002. "Technical, Allocative, Cost and Scale Efficiencies in Bangladesh Rice Cultivation: A Non‐parametric Approach," Journal of Agricultural Economics, Wiley Blackwell, vol. 53(3), pages 607-626, November.
    7. R. D. Banker & A. Charnes & W. W. Cooper, 1984. "Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis," Management Science, INFORMS, vol. 30(9), pages 1078-1092, September.
    8. Chavas, Jean-Paul & Aliber, Michael, 1993. "An Analysis Of Economic Efficiency In Agriculture: A Nonparametric Approach," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 18(1), pages 1-16, July.
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    Cited by:

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    More about this item

    Keywords

    Agriculture; technical efficiency; tobit regression; Turkey; two-stage data envelopment analysis;
    All these keywords.

    JEL classification:

    • C24 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Truncated and Censored Models; Switching Regression Models; Threshold Regression Models
    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
    • O13 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Agriculture; Natural Resources; Environment; Other Primary Products
    • Q18 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Agricultural Policy; Food Policy; Animal Welfare Policy

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