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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- 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.
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- 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.
- 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.
- 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.
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