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Modeling Extensive Livestock Production Systems: An Application To Sheep Production In Kazakhstan

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Listed:
  • Howitt, Richard E.
  • Kobayashi, Mimako
  • Jarvis, Lovell S.
  • Laca, Emilio A.

Abstract

A stochastic dynamic programming model for extensive livestock systems is developed. The model optimizes sales/retention decisions when future forage production, which affects animal performance and hence profitability, is uncertain. The model is applied to sheep production in Kazakhstan to evaluate policy alternatives.

Suggested Citation

  • Howitt, Richard E. & Kobayashi, Mimako & Jarvis, Lovell S. & Laca, Emilio A., 2003. "Modeling Extensive Livestock Production Systems: An Application To Sheep Production In Kazakhstan," 2003 Annual meeting, July 27-30, Montreal, Canada 21968, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    • Handle: RePEc:ags:aaea03:21968
    DOI: 10.22004/ag.econ.21968
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    References listed on IDEAS

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    2. Jarvis, Lovell S, 1974. "Cattle as Capital Goods and Ranchers as Portfolio Managers: An Application to the Argentine Cattle Sector," Journal of Political Economy, University of Chicago Press, vol. 82(3), pages 489-520, May/June.
    3. G. Passmore & Colin G. Brown, 1991. "Analysis Of Rangeland Degradation Using Stochastic Dynamic Programming," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 35(2), pages 131-157, August.
    4. Richard B. Standiford & Richard E. Howitt, 1992. "Solving Empirical Bioeconomic Models: A Rangeland Management Application," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 74(2), pages 421-433.
    5. W. Marshall Frasier & George H. Pfeiffer, 1994. "Optimal Replacement and Management Policies for Beef Cows," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 76(4), pages 847-858.
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    Keywords

    Livestock Production/Industries;

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