Modeling farmer participation to a revenue insurance scheme by means of Positive Mathematical Programming
AbstractEuropean farmers face increasing income uncertainty and the debate is growing on the role of insurance schemes and of public support in this field. This debate is further stimulated by the perspective of introducing instruments to cope with risk also in the Common Agricultural Policy. Therefore, there is a need for empirical analysis and tools aimed at providing empirical evidences on this subject. This paper applies a PMP modelling approach that takes into explicit consideration risk aversion behaviour to test the possibility to use it to assess the implications of participating in a insurance scheme. This is done by introducing a revenue insurance scheme into a model developed on a small group of crop farms in Italy. In particular, a quadratic mix integer programming approach has been developed in order to model the choice of participating or not in the proposed insurance scheme. The model has been than used to conduct simulations considering changes in the level of the insurance premium. The paper tries to assess the soundness of the proposed approach and to identify its limitations. The obtained results suggest that this could be a useful tool to investigate the impact of participating in insurance schemes on production patterns and farm profitability and the role of public support in this field.
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Bibliographic InfoPaper provided by European Association of Agricultural Economists in its series 2011 International Congress, August 30-September 2, 2011, Zurich, Switzerland with number 116001.
Date of creation: 02 Sep 2011
Date of revision:
insurance schemes; PMP; farmers’ participation; risk aversion; non-linear mix-integer programming; Farm Management; Risk and Uncertainty; Q12; C61; Q18;
Find related papers by JEL classification:
- Q12 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Micro Analysis of Farm Firms, Farm Households, and Farm Input Markets
- C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
- 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-AGR-2011-10-15 (Agricultural Economics)
- NEP-ALL-2011-10-15 (All new papers)
- NEP-IAS-2011-10-15 (Insurance Economics)
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.:
- Moschini, Giancarlo & Hennessy, David A., 2001.
"Uncertainty, risk aversion, and risk management for agricultural producers,"
Handbook of Agricultural Economics,
in: B. L. Gardner & G. C. Rausser (ed.), Handbook of Agricultural Economics, edition 1, volume 1, chapter 2, pages 88-153
- Moschini, GianCarlo & Hennessy, David A., 2001. "Uncertainty, Risk Aversion, and Risk Management for Agricultural Producers," Staff General Research Papers 5323, Iowa State University, Department of Economics.
- Severini, Simone & Cortignani, Raffaele, 2011. "An attempt to modelling revenue insurance schemes at the farm level by means of Positive Mathematical Programming," 122nd Seminar, February 17-18, 2011, Ancona, Italy 99431, European Association of Agricultural Economists.
- Hansen, Kristiana & Frahan, Bruno Henry de, 2010. "Risk in Agriculture: Modeling Revenue Insurance for Crop Farms in Belgium," 2010 Annual Meeting, July 25-27, 2010, Denver, Colorado 61535, Agricultural and Applied Economics Association.
- Arfini, Filippo & Donati, Michele & Marongiu, Sonia & Cesaro, Luca, 2012. "Farm production costs estimation trough PMP Models: an application in three Italian Regions," Congress Papers 124117, Italian Association of Agricultural and Applied Economics (AIEAA).
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