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Insuring Against Losses from Transgenic Contamination: The Case of Pharmaceutical Maize
Authors:David G  Ripplinger  Dermot J  Hayes  A Susana  Goggi  Kendall  Lamkey
Institution:David G. Ripplinger is associate research fellow, Upper Great Plains Transport, North Dakota State University. Dermot Hayes is professor, Department of Economics and Department of Finance, and Pioneer Hi-Bred International Chair in Agribusiness, Iowa State University. Susana Goggi is assistant professor, Agronomy Department, Iowa State University. Kendall Lamkey is professor and chair, Agronomy Department, Iowa State University.
Abstract:Concerns about the risk of food supply contamination have limited the development and commercialization of certain pharmaceutical plants. This article develops an insurance pricing model that helps translate these concerns into a cost-benefit analysis. The model first estimates the physical dispersal of maize pollen subject to a number of weather parameters. This distribution is then validated with the limited amount of currently available field trial data. The physical distribution is then used to calculate the premium for a fair-valued insurance policy that would fund the destruction of possibly contaminated fields. The flexible framework can be readily adapted to other crops, management practices, and regions.
Keywords:costs and benefits  genetically modified maize  insurance  pharmaceutical maize  pollen dispersal  risks and benefits  stochastic model
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