Utilization Of Relative Land Allocation In The Calibration Of Agriculture Supply Models By The Pmp Approach
AbstractThis poster proposes a new procedure in agriculture supply modelling by the positive mathematical programming (PMP) approach. This approach is now widely used in last CAP reform simulations. However, simulation behaviour and performances of PMP procedures depend of the way parameters of the non linear total cost function in the objective function are recovered. We propose a new specification of the total cost function where land is explicitly considered as a fixed input. By using relative parts of land of the different activities this new PMP procedure permits to better capture production behaviour when economic conditions. It also permits to avoid a drawback of the early procedures concerning marginal activities
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Bibliographic InfoPaper provided by European Association of Agricultural Economists in its series 109th Seminar, November 20-21, 2008, Viterbo, Italy with number 44859.
Date of creation: 14 Nov 2008
Date of revision:
Positive Mathematical Programming; CAP; Agricultural and Food Policy; Research Methods/ Statistical Methods; Q10; Q18;
Find related papers by JEL classification:
- Q10 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - General
- Q18 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Agricultural Policy; Food Policy
This paper has been announced in the following NEP Reports:
- NEP-ALL-2008-11-25 (All new papers)
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Thomas Heckelei & Hendrik Wolff, 2003. "Estimation of constrained optimisation models for agricultural supply analysis based on generalised maximum entropy," European Review of Agricultural Economics, Foundation for the European Review of Agricultural Economics, vol. 30(1), pages 27-50, March.
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