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Stochastic Technology in a Programming Framework: A Generalized E. V. Model

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Listed:
  • Hassan, Rashid M.
  • Hallam, Arne
  • D'Silva, B.
Abstract
Production uncertainty is important in studying the behavior of risk averse firms and the making of successful agricultural policies. A model which extends the E-V method to incorporate stochastic technology in a programming framework is developed. Risk effects of factor inp~ts are measured for the irrigated multi-crop sector of Sudan. Supply responses of agricultural producers are more elastic when factor inputs are allowed to influence production risks.

Suggested Citation

  • Hassan, Rashid M. & Hallam, Arne & D'Silva, B., 1988. "Stochastic Technology in a Programming Framework: A Generalized E. V. Model," 1988 Annual Meeting, August 1-3, Knoxville, Tennessee 270212, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    • Handle: RePEc:ags:aaea88:270212
    DOI: 10.22004/ag.econ.270212
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    References listed on IDEAS

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