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Impact Of Risk Preferences On Crop Rotation Choice

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Author Info

  • Maynard, Leigh J.
  • Harper, Jayson K.
  • Hoffman, Lynn D.

Abstract

Stochastic dominance analysis of five crop rotations using twenty-one years of experimental yield data returned results consistent with Pennsylvania cropping practices. The analysis incorporated yield risk, output price risk, and rotational yield effects. A rotation of two years corn and three years alfalfa hay dominated for approximately risk neutral and risk averse preferences, as did participation in government programs under the 1990 Farm Bill. Crop rotation selection appeared to impact net revenues more than the decision to participate in government programs.

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Bibliographic Info

Article provided by Northeastern Agricultural and Resource Economics Association in its journal Agricultural and Resource Economics Review.

Volume (Year): 26 (1997)
Issue (Month): 1 (April)
Pages:

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Handle: RePEc:ags:arerjl:31363

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Web page: http://www.narea.org/
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Related research

Keywords: Crop Production/Industries; Risk and Uncertainty;

References

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  1. Meyer, Jack, 1977. "Choice among distributions," Journal of Economic Theory, Elsevier, vol. 14(2), pages 326-336, April.
  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. Novak, James L. & Mitchell, Charles C., Jr. & Crews, Jerry R., 1990. "Risk And Sustainable Agriculture: A Target-Motad Analysis Of The 92-Year "Old Rotation"," Southern Journal of Agricultural Economics, Southern Agricultural Economics Association, vol. 22(01), July.
  4. Wilson, Paul N. & Eidman, Vernon R., 1983. "An Empirical Test Of The Interval Approach For Estimating Risk Preferences," Western Journal of Agricultural Economics, Western Agricultural Economics Association, vol. 8(02), December.
  5. Love, Ross O. & Robison, Lindon J., 1984. "An Empirical Analysis Of The Intertemporal Stability Of Risk Preference," Southern Journal of Agricultural Economics, Southern Agricultural Economics Association, vol. 16(01), July.
  6. McCarl, Bruce A., 1990. "Generalized Stochastic Dominance: An Empirical Examination," Southern Journal of Agricultural Economics, Southern Agricultural Economics Association, vol. 22(02), December.
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Cited by:
  1. Ritchie, John W. & Abawi, G. Yahya & Dutta, Sunil C. & Harris, Trevor R. & Bange, Michael, 2004. "Risk management strategies using seasonal climate forecasting in irrigated cotton production: a tale of stochastic dominance," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 48(1), March.
  2. Gebremedhin, Berhanu & Schwab, Gerald & Harwood, Richard R. & Christenson, Donald & Bricker, Calvin, 1998. "A Stochastic Dominance Analysis Of Alternative Sugar Beet- And Navy Bean- Based Crop Rotations In Michigan," Staff Papers 11509, Michigan State University, Department of Agricultural, Food, and Resource Economics.
  3. Gebremedhin, Berhanu & Schwab, Gerald, 1998. "The Economic Importance Of Crop Rotation Systems: Evidence From The Literature," Staff Papers 11690, Michigan State University, Department of Agricultural, Food, and Resource Economics.
  4. Blank, Steven C. & Orloff, Steve B. & Putnam, Daniel H., 2001. "Sequential Stochastic Production Decisions For A Perennial Crop: The Yield/Quality Tradeoff For Alfalfa Hay," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 26(01), July.

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