IDEAS home Printed from https://ideas.repec.org/a/bla/agecon/v2y1988i3p273-285.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: https://doi.org/10.1111/j.1574-0862.1988.tb00057.x
    Download Restriction: no
    File URL: https://libkey.io/10.1111/j.1574-0862.1988.tb00057.x?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. 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.
    2. 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.
    3. 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.
    4. Kingwell, Ross, 1996. "Programming models of farm supply response: The impact of specification errors," Agricultural Systems, Elsevier, vol. 50(3), pages 307-324.
    5. 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.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:bla:agecon:v:2:y:1988:i:3:p:273-285. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Wiley Content Delivery (email available below). General contact details of provider: https://edirc.repec.org/data/iaaeeea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.