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Explaining output growth with a heteroscedastic non-neutral production frontier: the case of sheep farms in Greece

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  • Giannis Karagiannis

Abstract

This paper extends the primal decomposition of total factor productivity (TFP) changes to the case of non-neutral production frontiers. Output growth is decomposed into input growth (size effect), changes in technical efficiency, technical change, and the effect of returns to scale. Within the proposed formulation, however, technical efficiency changes are attributed not only to autonomous changes (i.e. passage of time) but also to changes in input use and in farm-specific characteristics. A heteroscedastic non-neutral production frontier is estimated for an unbalanced panel of Greek sheep farms for the period 1989--1992. Technical efficiency change is found to be the main source of TFP growth. The farm-specific characteristics were the most important determinant of technical efficiency changes. Copyright 2005, Oxford University Press.

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Bibliographic Info

Article provided by Foundation for the European Review of Agricultural Economics in its journal European Review of Agricultural Economics.

Volume (Year): 32 (2005)
Issue (Month): 1 (March)
Pages: 51-74

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Handle: RePEc:oup:erevae:v:32:y:2005:i:1:p:51-74

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References

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  1. Giannis Karagiannis & Vangelis Tzouvelekas, . "Self-Dual Stochastic Production Frontiers and Decomposition of Output Growth: The Case of Olive Growing Farms in Greece," Working Papers 9913, University of Crete, Department of Economics.
  2. Wang, Hung-Jen, 2002. "Heteroscedasticity and non-monotonic efficiency effects of a stochastic frontier model," MPRA Paper 31076, University Library of Munich, Germany.
  3. Kumbhakar, Subal C & Ghosh, Soumendra & McGuckin, J Thomas, 1991. "A Generalized Production Frontier Approach for Estimating Determinants of Inefficiency in U.S. Dairy Farms," Journal of Business & Economic Statistics, American Statistical Association, vol. 9(3), pages 279-86, July.
  4. W, Y, 1995. "Productivity Growth, Technological Progress, and Technical Efficiency Change in China: A Three-Sector Analysis1," Journal of Comparative Economics, Elsevier, vol. 21(2), pages 207-229, October.
  5. Cornwell, Christopher & Schmidt, Peter & Sickles, Robin C., 1990. "Production frontiers with cross-sectional and time-series variation in efficiency levels," Journal of Econometrics, Elsevier, vol. 46(1-2), pages 185-200.
  6. Hung-jen Wang & Peter Schmidt, 2002. "One-Step and Two-Step Estimation of the Effects of Exogenous Variables on Technical Efficiency Levels," Journal of Productivity Analysis, Springer, vol. 18(2), pages 129-144, September.
  7. Jensen, Michael C, 1986. "Agency Costs of Free Cash Flow, Corporate Finance, and Takeovers," American Economic Review, American Economic Association, vol. 76(2), pages 323-29, May.
  8. Konstantinos Giannakas & Richard Schoney & Vangelis Tzouvelekas, 1999. "Technical Efficiency, Technological Change and Output Growth of Wheat Farms in Saskatchewan," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 47(4), pages 468-469, December.
  9. Kumbhakar, Subal C., 1990. "Production frontiers, panel data, and time-varying technical inefficiency," Journal of Econometrics, Elsevier, vol. 46(1-2), pages 201-211.
  10. Paul W. Bauer, 1988. "Decomposing TFP growth in the presence of cost inefficiency, nonconstant returns to scale, and technological progress," Working Paper 8813, Federal Reserve Bank of Cleveland.
  11. K.P. Kalirajan & M.B. Obwona & S. Zhao, 1996. "A Decomposition of Total Factor Productivity Growth: The Case of Chinese Agricultural Growth before and after Reforms," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 78(2), pages 331-338.
  12. Aigner, Dennis & Lovell, C. A. Knox & Schmidt, Peter, 1977. "Formulation and estimation of stochastic frontier production function models," Journal of Econometrics, Elsevier, vol. 6(1), pages 21-37, July.
  13. Christopoulos, Dimitris K. & Lolos, Sarantis E. G. & Tsionas, Efthymios G., 2002. "Efficiency of the Greek banking system in view of the EMU: a heteroscedastic stochastic frontier approach," Journal of Policy Modeling, Elsevier, vol. 24(9), pages 813-829, December.
  14. Ahmad, Munir & Boris E., Bravo-Ureta, 1995. "An econometric decomposition of dairy output growth," MPRA Paper 37678, University Library of Munich, Germany.
  15. 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.
  16. Schmidt, Peter & Lin, Tsai-Fen, 1984. "Simple tests of alternative specifications in stochastic frontier models," Journal of Econometrics, Elsevier, vol. 24(3), pages 349-361, March.
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  18. Caudill, Steven B & Ford, Jon M & Gropper, Daniel M, 1995. "Frontier Estimation and Firm-Specific Inefficiency Measures in the Presence of Heteroscedasticity," Journal of Business & Economic Statistics, American Statistical Association, vol. 13(1), pages 105-11, January.
  19. Tauer, Loren W., 1994. "Age and Farmer Productivity," Staff Papers 121316, Cornell University, Department of Applied Economics and Management.
  20. Konstantinos Giannakas & Kien Tran & Vangelis Tzouvelekas, 2000. "Efficiency, technological change and output growth in Greek olive growing farms: a Box-Cox approach," Applied Economics, Taylor & Francis Journals, vol. 32(7), pages 909-916.
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Cited by:
  1. Furesi, Roberto & Madau, Fabio A. & Pulina, Pietro, 2011. "Technical Efficiency in the Sheep Dairy Industry: an Application on the Sardinian (Italy) Sector," 2011 International Congress, August 30-September 2, 2011, Zurich, Switzerland 114348, European Association of Agricultural Economists.
  2. Madau, Fabio A., 2010. "Parametric Estimation Of Technical And Scale Efficiencies In Italian Citrus Farming," MPRA Paper 26818, University Library of Munich, Germany.
  3. Saldias, Rodrigo & von Cramon-Taubadel, Stephan, 2012. "Access to credit and the determinants of technical inefficiency among specialized small farmers in Chile," DARE Discussion Papers 1211, Georg-August University of Göttingen, Department of Agricultural Economics and Rural Development (DARE).
  4. Madau, Fabio A., 2012. "Technical and scale efficiency in the Italian Citrus Farming: A comparison between Stochastic Frontier Analysis (SFA) and Data Envelopment Analysis(DEA) Models," MPRA Paper 41403, University Library of Munich, Germany.
  5. Lokina, Razack B., 2008. "Technical Efficiency and the Role of Skipper Skill in Artisanal Lake Victoria Fisheries," Discussion Papers dp-08-13-efd, Resources For the Future.
  6. Serra, Teresa & Zilberman, David & Gil, Jose Maria, 2008. "Farms' technical inefficiencies in the presence of government programs," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 52(1), March.

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