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Risk Efficiency in the Interpretation of Agricultural Production Research

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  • Anderson, Jock R.

Abstract

Risk is often perceived by farmers as being more formidable in new technologies emanating from agricultural research than in more traditional practices. Consequently risk may tend to act as an impediment to adoption of improved practices as well as a general friction on efficient use of resources. Research and extension workers in agriculture may thus wish to identify technologies that are not only "improved" (more productive and profitable on the average) but are also less risky in that they would be preferred by "risk-averse" farmers. The extent to which this identification can proceed in the absence of knowledge of farmers' individual attitudes to risk is explored here through application of the concepts of stochastic dominance.

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Bibliographic Info

Article provided by Australian Agricultural and Resource Economics Society in its journal Review of Marketing and Agricultural Economics.

Volume (Year): 42 (1974)
Issue (Month): 03 (September)
Pages:

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Handle: RePEc:ags:remaae:7299

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Postal: AARES Central Office Manager, Crawford School of Public Policy, ANU, Canberra ACT 0200
Phone: 0409 032 338
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Web page: http://www.aares.info/
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Related research

Keywords: Production Economics; Risk and Uncertainty;

References

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  1. Day, Richard H & Aigner, Dennis J & Smith, Kenneth R, 1971. "Safety Margins and Profit Maximization in the Theory of the Firm," Journal of Political Economy, University of Chicago Press, vol. 79(6), pages 1293-1301, Nov.-Dec..
  2. John S. Hammond, III, 1974. "Simplifying the Choice between Uncertain Prospects Where Preference is Nonlinear," Management Science, INFORMS, vol. 20(7), pages 1047-1072, March.
  3. Jack C. Hayya & William L. Ferrara, 1972. "On Normal Approximations of the Frequency Functions of Standard Forms Where the Main Variables are Normally Distributed," Management Science, INFORMS, vol. 19(2), pages 173-186, October.
  4. Hardaker, J. Brian & Tanago, A.G., 1973. "Assessment Of The Output Of A Stochastic Decision Model," Australian Journal of Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 17(03), December.
  5. Hanoch, G & Levy, Haim, 1969. "The Efficiency Analysis of Choices Involving Risk," Review of Economic Studies, Wiley Blackwell, vol. 36(107), pages 335-46, July.
  6. Hadar, Josef & Russell, William R, 1969. "Rules for Ordering Uncertain Prospects," American Economic Review, American Economic Association, vol. 59(1), pages 25-34, March.
  7. Porter, R Burr & Gaumnitz, Jabk E, 1972. "Stochastic Dominance vs. Mean-Variance Portfolio Analysis: An Empirical Evaluation," American Economic Review, American Economic Association, vol. 62(3), pages 438-46, June.
  8. J. Brian Hardaker & A.G. Tanago, 1973. "Assessment Of The Output Of A Stochastic Decision Model," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 17(3), pages 170-178, December.
  9. Porter, R Burr, 1974. "Semivariance and Stochastic Dominance: A Comparison," American Economic Review, American Economic Association, vol. 64(1), pages 200-04, March.
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