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Optimal Risk Management, Risk Aversion, And Production Function Properties

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  • Loehman, Edna T.
  • Nelson, Carl H.

Abstract

For production risk with identified physical causes, the nature of risk, production characteristics, risk preference, and prices determine optimal input use. Here, a two-way classification for pairs of inputs - each input as being risk increasing or decreasing and pairs as being risk substitutes or complements - provides sufficient conditions to determine how risk aversion should affect input use. Unlike the Sandmo price risk averse firm may produce more expected output and use more inputs than a risk neutral firm. Sufficient conditions to determine types for pairs of inputs are also related to properties of the production function.

Suggested Citation

  • Loehman, Edna T. & Nelson, Carl H., 1992. "Optimal Risk Management, Risk Aversion, And Production Function Properties," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 17(2), pages 1-13, December.
    • Handle: RePEc:ags:jlaare:30950
    DOI: 10.22004/ag.econ.30950
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    References listed on IDEAS

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    3. Arkadiy V. Sakhartov, 2017. "Economies of Scope, Resource Relatedness, and the Dynamics of Corporate Diversification," Strategic Management Journal, Wiley Blackwell, vol. 38(11), pages 2168-2188, November.
    4. Chang, Hung-Hao & Mishra, Ashok K. & Livingston, Michael, 2011. "Agricultural policy and its impact on fuel usage: Empirical evidence from farm household analysis," Applied Energy, Elsevier, vol. 88(1), pages 348-353, January.
    5. Nimon, R. Wesley & Mishra, Ashok K., 2001. "Revenue Insurance and Chemical Input Use Rates," 2001 Annual meeting, August 5-8, Chicago, IL 20669, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    6. Mitchell, Paul David, 1999. "The theory and practice of green insurance: insurance to encourage the adoption of corn rootworm IPM," ISU General Staff Papers 1999010108000013154, Iowa State University, Department of Economics.
    7. Tang, Lin & Luo, Xiaofeng, 2021. "Can agricultural insurance encourage farmers to apply biological pesticides? Evidence from rural China," Food Policy, Elsevier, vol. 105(C).
    8. Willis, David B. & Whittlesey, Norman K., 1998. "The Effect Of Stochastic Irrigation Demands And Surface Water Supplies On On-Farm Water Management," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 23(1), pages 1-19, July.
    9. Yano, Yuki & Blandford, David, 2008. "Agri-Environmental Policy and Moral Hazard under Output Price and Production Uncertainty," 2008 International Congress, August 26-29, 2008, Ghent, Belgium 44323, European Association of Agricultural Economists.
    10. Karagiannis, Giannis, 1999. "Proportional Profit Taxes And Resource Management Under Production Uncertainty," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 24(2), pages 1-11, December.
    11. Kusadokoro, Motoi, 2010. "Risk Aversion and Optimal Input Utilization under State Contingent Technology," Japanese Journal of Agricultural Economics (formerly Japanese Journal of Rural Economics), Agricultural Economics Society of Japan (AESJ), vol. 12, pages 1-13.
    12. Soule, Meredith J. & Nimon, R. Wesley & Mullarkey, Daniel J., 2001. "Risk Management And The Environment: Impacts At The Intensive And Extensive Margins," 2001 Annual meeting, August 5-8, Chicago, IL 20670, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).

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    Keywords

    Production Economics; Risk and Uncertainty;

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