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Uncertainty and Technical Efficiency in Finnish Agriculture: A State-contingent Approach

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  • Nauges, Celine
  • O'Donnell, Christopher
  • Quiggin, John

Abstract

In this article, we present one of the first real-world empirical applications of state-contingent production theory. Our state-contingent behavioral model allows us to analyze production under both inefficiency and uncertainty without regard to the nature of producer risk preferences. Using farm data for Finland, we estimate a flexible production model that permits substitutability between state-contingent outputs. We test empirically, and reject, an assumption that has been implicit in almost all efficiency studies conducted in the last three decades, namely that the production technology is output-cubical, i.e., that outputs are not substitutable between states of nature.

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Bibliographic Info

Paper provided by University of Queensland, School of Economics in its series Risk and Sustainable Management Group Working Papers with number 151192.

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Date of creation: 2010
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Handle: RePEc:ags:uqsers:151192

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Keywords: state-contingent; production; uncertainty; Production Economics; Risk and Uncertainty; Q10; Q24; Q25;

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  1. Battese, G. E. & Rambaldi, A. N. & Wan, G. H., 1995. "A Stochastic Frontier Production Function with Flexible Risk Properties," 1995 Conference (39th), February 14-16, 1995, Perth, Australia 148840, Australian Agricultural and Resource Economics Society.
  2. Subal C. Kumbhakar, 2002. "Specification and Estimation of Production Risk, Risk Preferences and Technical Efficiency," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 84(1), pages 8-22.
  3. Xing, Liu & Pietola, Kyosti, 2005. "Forward Hedging Under Price and Production Risk of Wheat," 2005 International Congress, August 23-27, 2005, Copenhagen, Denmark 24467, European Association of Agricultural Economists.
  4. Serra, Teresa & Stefanou, Spiro E. & Oude Lansink, Alfons G.J.M., 2010. "A dynamic dual model under state-contingent production uncertainty," 114th Seminar, April 15-16, 2010, Berlin, Germany 61353, European Association of Agricultural Economists.
  5. G. Karagiannis & V. Tzouvelekas & A. Xepapadeas, 2003. "Measuring Irrigation Water Efficiency with a Stochastic Production Frontier," Environmental & Resource Economics, European Association of Environmental and Resource Economists, vol. 26(1), pages 57-72, September.
  6. Chris OÕDonnell & Robert G. Chambers & John Quiggin, . "Efficiency analysis in the presence of uncertainty," Risk & Uncertainty Working Papers WP2R06, Risk and Sustainable Management Group, University of Queensland.
  7. Chris O'Donnell & W.E. Griffiths, 2004. "Estimating State-Contingent Production Frontiers," CEPA Working Papers Series WP022004, School of Economics, University of Queensland, Australia.
  8. Phoebe Koundouri & Marita Laukkanen & Sami Myyrä & Celine Nauges, 2009. "The effects of EU agricultural policy changes on farmers' risk attitudes," Working Papers 30225, Institut National de la Recherche Agronomique, France.
  9. Jean-Paul Chavas, 2008. "A Cost Approach to Economic Analysis Under State-Contingent Production Uncertainty," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 90(2), pages 435-466.
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