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Insuring Against Losses from Transgenic Contamination: The Case of Pharmaceutical Maize

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  • Ripplinger, David
  • Hayes, Dermot J.
  • Goggi, Susana
  • Lamkey, Kendall

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.

Suggested Citation

  • Ripplinger, David & Hayes, Dermot J. & Goggi, Susana & Lamkey, Kendall, 2010. "Insuring Against Losses from Transgenic Contamination: The Case of Pharmaceutical Maize," Staff General Research Papers Archive 31482, Iowa State University, Department of Economics.
    • Handle: RePEc:isu:genres:31482
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    References listed on IDEAS

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    1. David A. Hennessy & Bruce A. Babcock & Dermot J. Hayes, 1997. "Budgetary and Producer Welfare Effects of Revenue Insurance," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 79(3), pages 1024-1034.
    2. David A. Hennessy & Bruce A. Babcock & Dermot J. Hayes, 1997. "Budgetary and Producer Welfare Effects of Revenue Insurance," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 79(3), pages 1024-1034.
    3. Boyle, Phelim P., 1977. "Options: A Monte Carlo approach," Journal of Financial Economics, Elsevier, vol. 4(3), pages 323-338, May.
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