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Empirical Evidence of Technical Efficiency Levels in Greek Organic and Conventional Farms

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  • Tzouvelekas, Vangelis
  • Pantzios, Christos J.
  • Fotopoulos, Christos

Abstract

The present study utilizes the stochastic production frontier approach in evaluating the technical efficiency rates achieved in four types of Greek organic and conventional farm operations, namely, olive oil-producing, cotton, raisin-producing, and grapes-for-wine producing farms. The empirical results are expected to illustrate possible differences in the technical efficiency scores between the two farming technologies, and provide empirical evidence which at least in the field of organic farming performance is scarce or even absent. Such assessments may also be helpful for pointing out purely economic advantages (or disadvantages) of organic farming, in addition to its environmental dimension, and formulating policies to improve its economic performance.

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File URL: http://purl.umn.edu/26462
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Bibliographic Info

Article provided by Greek Association of Agricultural Economists in its journal Agricultural Economics Review.

Volume (Year): 03 (2002)
Issue (Month): 2 (August)
Pages:

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Handle: RePEc:ags:aergaa:26462

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Keywords: Research and Development/Tech Change/Emerging Technologies;

References

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  1. 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.
  2. Kodde, David A & Palm, Franz C, 1986. "Wald Criteria for Jointly Testing Equality and Inequality Restriction s," Econometrica, Econometric Society, vol. 54(5), pages 1243-48, September.
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Cited by:
  1. Madau, Fabio A., 2005. "Technical Efficiency in Organic Farming: An Application on Italian Cereal Farms Using a Parametric Approach," 2005 International Congress, August 23-27, 2005, Copenhagen, Denmark 24545, European Association of Agricultural Economists.
  2. Guesmi, Bouali & Serra, Teresa & Featherstone, Allen M., 2013. "Technical efficiency of Kansas arable crop farms: a local maximum likelihood approach," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 147488, Agricultural and Applied Economics Association.
  3. Dimara, Efthalia & Pantzios, Christos J. & Skuras, Dimitris & Tsekouras, Kostas, 2005. "The impacts of regulated notions of quality on farm efficiency: A DEA application," European Journal of Operational Research, Elsevier, vol. 161(2), pages 416-431, March.
  4. Serra, Teresa & Chambers, Robert G. & Oude Lansink, Alfons, 2014. "Measuring technical and environmental efficiency in a state-contingent technology," European Journal of Operational Research, Elsevier, vol. 236(2), pages 706-717.
  5. Sauer, Johannes & Graversen, Jesper T. & Park, Timothy A., 2006. "Breathtaking or Stagnating? - Productivity, Technical Change and Structural Dynamics in Danish Organic Farming," 2006 Annual meeting, July 23-26, Long Beach, CA 21481, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
  6. Funtanilla, Margil & Lyford, Conrad P. & Wang, Chenggang, 2009. "An Evaluation of the Organic Cotton Marketing Opportunity," 2009 Annual Meeting, July 26-28, 2009, Milwaukee, Wisconsin 49359, Agricultural and Applied Economics Association.
  7. Teresa Serra & Barry Goodwin, 2009. "The efficiency of Spanish arable crop organic farms, a local maximum likelihood approach," Journal of Productivity Analysis, Springer, vol. 31(2), pages 113-124, April.
  8. Sauer, Johannes & Park, Timothy A. & Graversen, Jesper T., 2007. "Organic Farming In Denmark-Productivity, Technical Change And Market Exit," 47th Annual Conference, Weihenstephan, Germany, September 26-28, 2007 7618, German Association of Agricultural Economists (GEWISOLA).
  9. Cisilino, Federica & Madau, Fabio A., 2007. "Organic and Conventional Farming: a Comparison Analysis through the Italian FADN," MPRA Paper 21786, University Library of Munich, Germany.

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