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Insuring Against Losses From Transgenic Contamination

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Author Info

  • Ripplinger, David G.
  • Hayes, Dermot J.
  • Lamkey, Kendall R.

Abstract

Concerns about contamination of the food supply and the financial losses that would result have limited the promise of certain genetically engineered plants. This article addresses the situation by constructing an insurance pricing model to protect against those losses. The model first estimates the physical dispersal of corn pollen subject to a number of parameters. This physical distribution is then used to calculate the premium for fair valued insurance that would be necessary to destroy contaminated fields. The flexible framework can be readily adapted to other crops, management practices, and regions.

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File URL: http://purl.umn.edu/20350
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Bibliographic Info

Paper provided by American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association) in its series 2004 Annual meeting, August 1-4, Denver, CO with number 20350.

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Date of creation: 2004
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Handle: RePEc:ags:aaea04:20350

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Related research

Keywords: contemporaneous fertility; insurance; Lagrangian stochastic model; pharmaceutical-corn; pollen dispersal; Crop Production/Industries; Risk and Uncertainty;

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  1. Nelson, Gerald C. & Palazzo, Amanda & Mason-DCroz, Daniel & Robertson, Richard D. & Thomas, Timothy S., 2013. "Methodology," IFPRI book chapters, in: Jalloh, Abdulai & Nelson, Gerald C. & Thomas, Timothy S. & Zougmore, Robert & Roy-Macauley, Harold (ed.), West African agriculture and climate change: A comprehensive analysis, chapter 2, pages 37-52 International Food Policy Research Institute (IFPRI).
    • Nelson, Gerald C. & Palazzo, Amanda & Mason-D’Croz, Daniel & Robertson, Richard & Thomas, Timothy S., 2013. "Methodology," IFPRI book chapters, in: Hachigonta, Sepo & Nelson, Gerald C. & Thomas, Timothy S. & Sibanda, Lindiwe Majele (ed.), Southern African agriculture and climate change: A comprehensive analysis, chapter 2, pages 25-40 International Food Policy Research Institute (IFPRI).
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