Numerical Estimation of Agricultural Supply Functions - A Micro Economic Approach based on Mathematical Programming
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.
|Date of creation:||2008|
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- Kathrin Happe, 2005. "Agricultural policies and farm structures - agent-based simulation and application to EU-policy reform," Others 0504011, EconWPA.
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- 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 Central and Eastern Europe, Leibniz Institute of Agricultural Development in Central and Eastern Europe (IAMO), volume 30, number 14945.
- 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.
- 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.
- 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.
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