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Marketing Mechanisms In Gm Grains And Oilseeds

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  • Maxwell, Brett J.
  • Wilson, William W.
  • Dahl, Bruce L.

Abstract

A number of challenges exist for genetically modified (GM) crop development at the production level. Contract strategies can resolve these challenges. Contracts can be designed to induce legal adoption of GM wheat by varying technology fees, violation detection, and penalties. The primary objective of this research is to analyze contracting strategies to determine terms to minimize technology agreement violation and to induce legal adoption of GM wheat. A simulation model of a crop budget for Hard Red Spring wheat was developed. Results illustrate that contracts can be designed to induce desired behavior. Technology fee, probability of detection, and the level of non-GM premium were the most notable factors influencing adoption decisions.

Suggested Citation

  • Maxwell, Brett J. & Wilson, William W. & Dahl, Bruce L., 2004. "Marketing Mechanisms In Gm Grains And Oilseeds," Agribusiness & Applied Economics Report 23639, North Dakota State University, Department of Agribusiness and Applied Economics.
    • Handle: RePEc:ags:nddaae:23639
    DOI: 10.22004/ag.econ.23639
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    References listed on IDEAS

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    1. R.W. Fraser, 1991. "Price‐Support Effects On Ec Producers," Journal of Agricultural Economics, Wiley Blackwell, vol. 42(1), pages 1-10, January.
    2. Meyer, Jack, 1977. "Choice among distributions," Journal of Economic Theory, Elsevier, vol. 14(2), pages 326-336, April.
    3. Jefferson, Kenrett Y. & Traxler, Greg, 2002. "The Economics Of Value Enhanced Crops: An Analysis Of Benefit Sharing In The U.S," 2002 Annual meeting, July 28-31, Long Beach, CA 19619, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    4. Meyer, Jack, 1977. "Second Degree Stochastic Dominance with Respect to a Function," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 18(2), pages 477-487, June.
    5. Dias, Weeratilake & Helmers, Glenn A. & Eghball, Bahman, 1999. "Economic And Environmental Risk Efficiency Analysis Of Land Application Of Cattle Feedlot Manure: Generalized Stochastic Dominance Analysis," 1999 Annual Meeting, July 11-14, 1999, Fargo, ND 35715, Western Agricultural Economics Association.
    6. Giannakas, Konstantinos, 2001. "The Economics Of Intellectual Property Rights Under Imperfect Enforcement," 2001 Annual meeting, August 5-8, Chicago, IL 20584, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    7. Qaim, Matin & de Janvry, Alain, 2002. "Bt Cotton In Argentina: Analyzing Adoption And Farmers' Willingness To Pay," 2002 Annual meeting, July 28-31, Long Beach, CA 19710, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    8. Alexander, Corinne E. & Goodhue, Rachael E., 1999. "Production Systems Competition And The Pricing Of Innovations: An Application To Biotechnology And Seed Corn," 1999 Annual meeting, August 8-11, Nashville, TN 21646, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    9. Kinwa-Muzinga, Annie & Mazzocco, Michael A., 2002. "Examining Price Paths Of A Portfolio Of Agro-Biotechnology Seeds: The Effects Of Competition And Farmers' Response," 2002 Annual meeting, July 28-31, Long Beach, CA 19829, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    10. Harrison, R. Wes & Bobst, Barry W. & Benson, Fred J. & Meyer, Lee, 1996. "Analysis Of The Risk Management Properties Of Grazing Contracts Versus Futures And Option Contracts," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 28(2), pages 1-16, December.
    11. Dahl, Bruce L. & Wilson, William W. & Johnson, D. Demcey & Nganje, William E., 2001. "Valuation Of New Spring Wheat Varieties: Tradeoffs For Growers And End-Users (Summary)," Agribusiness & Applied Economics Report 23590, North Dakota State University, Department of Agribusiness and Applied Economics.
    12. McCarl, Bruce A., 1990. "Generalized Stochastic Dominance: An Empirical Examination," Southern Journal of Agricultural Economics, Southern Agricultural Economics Association, vol. 22(1), pages 1-7, December.
    13. Lukin, Vladimir & Epplin, Francis M., 1999. "Value Of Soil Test Information For Crop Production," 1999 Annual meeting, August 8-11, Nashville, TN 21586, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    14. Wilson, William W. & Dahl, Bruce L. & Johnson, D. Demcey & Nganje, William E., 2001. "Valuation Of New Spring Wheat Varieties: Tradeoffs For Growers And End-Users," Agribusiness & Applied Economics Report 23622, North Dakota State University, Department of Agribusiness and Applied Economics.
    15. Kingwell, Ross S., 2000. "Incentive Design for Introducing Genetically Modified Crops," 2000 Conference (44th), January 23-25, 2000, Sydney, Australia 123687, Australian Agricultural and Resource Economics Society.
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