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Linear Programming As A Tool For Agricultural Sector Analysis

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  • Walker, Neal
  • Monypenny, Richard

Abstract

As sector programming models have increased in number, they have also increased, individually, in size and complexity. This increased sophistication has presented to researchers well-defined and difficult choices, the resolution of which usually involves compromise of either model generality or theoretical rigor. This paper discusses problems typical of those encountered in construction of large-scale programming models, and presents an overview of the goals of such models and the uses to which they have been applied.

Suggested Citation

  • Walker, Neal & Monypenny, Richard, 1976. "Linear Programming As A Tool For Agricultural Sector Analysis," Review of Marketing and Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 44(04), pages 1-14, December.
    • Handle: RePEc:ags:remaae:9167
    DOI: 10.22004/ag.econ.9167
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    References listed on IDEAS

    as
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    3. Jerry A. Sharples & W. Neill Schaller, 1968. "Predicting Short-Run Aggregate Adjustment to Policy Alternatives," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 50(5), pages 1523-1536.
    4. Jean-Marc Boussard & Michel Petit, 1967. "Representation of Farmers' Behavior under Uncertainty with a Focus-Loss Constraint," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 49(4), pages 869-880.
    5. Thomas A. Miller, 1972. "Evaluation of Alternative Flexibility Restraint Procedures for Recursive Programming Models Used for Prediction," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 54(1), pages 68-76.
    6. B. Curtis Eaves, 1971. "On Quadratic Programming," Management Science, INFORMS, vol. 17(11), pages 698-711, July.
    7. R. K. Sahi & W. J. Craddock, 1974. "Estimation of Flexibility Coefficients for Recursive Programming Models—Alternative Approaches," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 56(2), pages 344-350.
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