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Costs And Risks Of Testing And Segregating Gm Wheat

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Author Info

  • Wilson, William W.
  • Dahl, Bruce L.

Abstract

Development of genetically modified crops is challenging the functions of the grain marketing system with many participants arguing for Identity Preservation systems prior to release of GM varieties. In this study, a stochastic optimization model was developed to determine optimal testing strategies. The model chooses the optimal testing strategy that maximizes utility (minimizes disutility) of additional system costs due to testing and rejection and allows estimation of the risk premium required for sellers to undertake a dual marketing system with GM/Non-GM segregations over the current Non-GM system. Elements of costs (testing costs, rejection costs, and risk premium) were estimated for a base model representing a grain export chain. The model includes elements of costs and risks for uncertainties within the marketing chain including risk of adventitious commingling at all stages of the marketing chain, grower truth-telling, variety declaration, and accuracy of testing technologies. Sensitivities were evaluated for effects of GM adoption, risk parameters, variety declaration, tolerance levels, and for a domestic market case.

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File URL: http://purl.umn.edu/23480
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Bibliographic Info

Paper provided by North Dakota State University, Department of Agribusiness and Applied Economics in its series Agribusiness & Applied Economics Report with number 23480.

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Date of creation: 2002
Date of revision:
Handle: RePEc:ags:nddaae:23480

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Postal: PO Box 5636, Fargo, ND 58105-5636
Phone: (701) 231-7441
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Web page: http://www.ext.nodak.edu/homepages/aedept/
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Related research

Keywords: Genetically modified organisms; biotechnology; wheat; risk; segregation; identity preservation; Crop Production/Industries;

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Cited by:
  1. William W. Wilson & Xavier Henry & Bruce L. Dahl, 2008. "Costs and risks of conforming to EU traceability requirements: the case of hard red spring wheat," Agribusiness, John Wiley & Sons, Ltd., vol. 24(1), pages 85-101.
  2. Huffman, Wallace E. & Shogren, Jason F. & Rousu, Matthew C. & Tegene, Abebayehu, 2003. "Consumer Willingness to Pay for Genetically Modified Food Labels in a Market with Diverse Information: Evidence from Experimental Auctions," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 28(03), December.
  3. Anderson, Kym & Jackson, Lee Ann, 2005. "GM crop technology and trade restraints: economic implications for Australia and New Zealand," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 49(3), September.
  4. Johnson, D. Demcey & Lin, William W., 2005. "The Economics of Testing for Biotech Grain: Application to StarLink Corn," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 30(02), August.
  5. Gawron, Jana-Christina & Theuvsen, Ludwig, 2007. "Costs of Processing Genetically Modified Organisms: Analysis of the Rapeseed and Corn Industries," 47th Annual Conference, Weihenstephan, Germany, September 26-28, 2007 7601, German Association of Agricultural Economists (GEWISOLA).

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