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A Linear Programming Algorithm for Determining Mean‐Gini Efficient Farm Plans

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  • John Okunev
  • John L. Dillon

Abstract

A linear programming algorithm is presented for determination of farm plans that are efficient under the mean‐Gini criterion. Use of the algorithm is illustrated by applying it to a standard problem from the literature. The set of efficient plans is compared with those based on mean‐variance and MOTAD analysis of the same problem.

Suggested Citation

  • John Okunev & John L. Dillon, 1988. "A Linear Programming Algorithm for Determining Mean‐Gini Efficient Farm Plans," Agricultural Economics, International Association of Agricultural Economists, vol. 2(3), pages 273-285, November.
    • Handle: RePEc:bla:agecon:v:2:y:1988:i:3:p:273-285
    DOI: 10.1111/j.1574-0862.1988.tb00057.x
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    Cited by:

    1. Kingwell, Ross, 1996. "Programming models of farm supply response: The impact of specification errors," Agricultural Systems, Elsevier, vol. 50(3), pages 307-324.
    2. Musshoff, Oliver & Hirschauer, Norbert, 2008. "Sophisticated Program Planning Approaches Generate Large Benefits in High Risk Crop Farming," 82nd Annual Conference, March 31 - April 2, 2008, Royal Agricultural College, Cirencester, UK 36865, Agricultural Economics Society.
    3. Musshoff, Oliver & Hirschauer, Norbert, 2007. "What benefits are to be derived from improved farm program planning approaches? - The role of time series models and stochastic optimization," Agricultural Systems, Elsevier, vol. 95(1-3), pages 11-27, December.
    4. Apland, Jeffrey & Hauer, Grant, 1993. "Discrete Stochastic Programming: Concepts, Examples And A Review Of Empirical Applications," Staff Papers 13793, University of Minnesota, Department of Applied Economics.
    5. Hardaker, J. Brian & Pandey, Sushil & Patten, Louise H., 1991. "Farm Planning under Uncertainty: A Review of Alternative Programming Models," Review of Marketing and Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 59(01), pages 1-14, April.

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