IDEAS home Printed from https://ideas.repec.org/p/ags/eaae08/44181.html
   My bibliography  Save this paper

Numerical Estimation of Agricultural Supply Functions - A Micro Economic Approach based on Mathematical Programming

Author

Listed:
  • Rasmussen, Svend
  • Damgaard, Martin

Abstract

This paper describes a cost function approach to modelling production and resource use at the level of the individual farm firm. The procedure for deriving the supply function using mathematical programming under fairly general condition of a convex input set is shown, and the model is demonstrated. It is suggested that the model is used as the basic building block in agricultural sector models, the advantage being that the technology is modelled as a production frontier providing better opportunities for modelling input and output substitution.

Suggested Citation

  • Rasmussen, Svend & Damgaard, Martin, 2008. "Numerical Estimation of Agricultural Supply Functions - A Micro Economic Approach based on Mathematical Programming," 2008 International Congress, August 26-29, 2008, Ghent, Belgium 44181, European Association of Agricultural Economists.
  • Handle: RePEc:ags:eaae08:44181
    as

    Download full text from publisher

    File URL: http://purl.umn.edu/44181
    Download Restriction: no

    References listed on IDEAS

    as
    1. Berger, Thomas, 2001. "Agent-based spatial models applied to agriculture: a simulation tool for technology diffusion, resource use changes and policy analysis," Agricultural Economics, Blackwell, vol. 25(2-3), pages 245-260, September.
    2. Berger, Thomas & Schreinemachers, Pepijn & Woelcke, Johannes, 2006. "Multi-agent simulation for the targeting of development policies in less-favored areas," Agricultural Systems, Elsevier, vol. 88(1), pages 28-43, April.
    3. Thomas H. Spreen & Takashi Takayama, 1980. "A Theoretical Note on Aggregation of Linear Programming Models of Production," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 62(1), pages 146-151.
    4. Helming, John F.M. & Surry, Yves R., 2005. "A Sectoral Model for Analyzing Alternative Technologies in Pig Farming," 2005 International Congress, August 23-27, 2005, Copenhagen, Denmark 24774, European Association of Agricultural Economists.
    5. Happe, Kathrin, 2004. "Agricultural policies and farm structures: agent-based modelling and application to EU-policy reform," Studies on the Agricultural and Food Sector in Transition Economies, Leibniz Institute of Agricultural Development in Transition Economies (IAMO), volume 30, number 14945.
    6. Kathrin Happe, 2005. "Agricultural policies and farm structures - agent-based simulation and application to EU-policy reform," Others 0504011, EconWPA.
    7. Balmann, Alfons, 1997. "Farm-Based Modelling of Regional Structural Change: A Cellular Automata Approach," European Review of Agricultural Economics, Foundation for the European Review of Agricultural Economics, vol. 24(1), pages 85-108.
    8. Berger, Thomas, 2001. "Agent-based spatial models applied to agriculture: a simulation tool for technology diffusion, resource use changes and policy analysis," Agricultural Economics of Agricultural Economists, International Association of Agricultural Economists, vol. 25(2-3), September.
    Full references (including those not matched with items on IDEAS)

    More about this item

    Keywords

    Cost function; linear programming; economies of scale; agricultural sector models; production frontier; Farm Management;

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:ags:eaae08:44181. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (AgEcon Search). General contact details of provider: http://edirc.repec.org/data/eaaeeea.html .

    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.

    If CitEc recognized a reference but did not link an item in RePEc to it, you can help with 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.

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.