Assessing the Efficiency of Sheep Farming in Mountainous Areas of Greece. A Non Parametric Approach
The objective of this paper is the measurement and decomposition of the overall efficiency of sheep farming in mountainous areas of Greece. To this end, both a Constant Returns to Scale (CRS) and a Variable Returns to Scale (VRS) DEA model has been applied to a sample to 101 farms located in the mountainous areas of Epirus, Sterea, and Thessaly. The empirical results suggest: a) the average overall efficiency ratio in the sample is about 80 percent; b) the pure technical and the scale efficiency are of almost equal importance in the determination of the overall efficiency. Therefore, CRS DEA models will tend to underestimate systematically the level of pure technical efficiency; c) there are differences in the overall efficiency ratios across the three regions stemming mainly from differences in pure technical efficiency.
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- Fare, Rolf & Knox Lovell, C. A., 1981. "Measuring the technical efficiency of production: Reply," Journal of Economic Theory, Elsevier, vol. 25(3), pages 453-454, December.
- Battese, G E & Coelli, T J, 1995. "A Model for Technical Inefficiency Effects in a Stochastic Frontier Production Function for Panel Data," Empirical Economics, Springer, vol. 20(2), pages 325-32.
- D. L. Neff & P. Garcia & C. H. Nelson, 1993. "Technical Efficiency: A Comparison Of Production Frontier Methods," Journal of Agricultural Economics, Wiley Blackwell, vol. 44(3), pages 479-489.
- Kopp, Raymond J., 1981. "Measuring the technical efficiency of production: A comment," Journal of Economic Theory, Elsevier, vol. 25(3), pages 450-452, December.
- Battese, George E. & Coelli, Tim J., 1988. "Prediction of firm-level technical efficiencies with a generalized frontier production function and panel data," Journal of Econometrics, Elsevier, vol. 38(3), pages 387-399, July.
- Lund, Mogens & Jacobsen, Brian H & Hansen, Lars C E, 1993. "Reducing Non-allocative Costs on Danish Dairy Farms: Application of Non-parametric Methods," European Review of Agricultural Economics, Foundation for the European Review of Agricultural Economics, vol. 20(3), pages 327-41.
- Hallam, David & Machado, Fernando, 1996. "Efficiency Analysis with Panel Data: A Study of Portuguese Dairy Farms," European Review of Agricultural Economics, Foundation for the European Review of Agricultural Economics, vol. 23(1), pages 79-93.
- Isabelle Piot-Lepetit & Dominique Vermersch & Robert Weaver, 1997. "Agriculture's environmental externalities: DEA evidence for French agriculture," Applied Economics, Taylor & Francis Journals, vol. 29(3), pages 331-338.
- Bauer, Paul W., 1990. "Recent developments in the econometric estimation of frontiers," Journal of Econometrics, Elsevier, vol. 46(1-2), pages 39-56.
- Binswanger, Hans P. & Deininger, Klaus & Feder, Gershon, 1995.
"Power, distortions, revolt and reform in agricultural land relations,"
Handbook of Development Economics,
in: Hollis Chenery & T.N. Srinivasan (ed.), Handbook of Development Economics, edition 1, volume 3, chapter 42, pages 2659-2772
- Binswanger, Hans P. & Deininger, Klaus & Feder, Gershon, 1993. "Power, distortions, revolt, and reform in agricultural land relations," Policy Research Working Paper Series 1164, The World Bank.
- 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.
- Thanassoulis, Emmanuel, 2000. "DEA and its use in the regulation of water companies," European Journal of Operational Research, Elsevier, vol. 127(1), pages 1-13, November.
- 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.
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