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A Model of Diffusion of Genetically Modified Crop Technology in Concentrated Agricultural Processing Markets - The Case of Soybeans

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  • Nadolnyak, Denis A.
  • Sheldon, Ian M.
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    Abstract

    In the paper, a dynamic model of diffusion of genetically modified crop technology is developed and simulated using the U.S. soybean market data. The model accounts for factors specific to agricultural markets, such as oligopsony power and strategic interaction among crop processors, growers' characteristics such as adoption behavior, and identity preservation requirements. Simulation results show how these factors affect the magnitude and distribution of the potential gains from genetically modified crops.

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    File URL: http://purl.umn.edu/24872
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    Bibliographic Info

    Paper provided by European Association of Agricultural Economists in its series 2002 International Congress, August 28-31, 2002, Zaragoza, Spain with number 24872.

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    Date of creation: 2002
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    Handle: RePEc:ags:eaae02:24872

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    Related research

    Keywords: biotechnology in agriculture; soybeans; innovation diffusion; oligopsony; genetically modified crop; Consumer/Household Economics;

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    1. Domowitz, Ian & Hubbard, R Glenn & Petersen, Bruce C, 1987. "Oligopoly Supergames: Some Empirical Evidence on Prices and Margins," Journal of Industrial Economics, Wiley Blackwell, vol. 35(4), pages 379-98, June.
    2. Marra, Michele C. & Hubbell, Bryan J. & Carlson, Gerald A., 2001. "Information Quality, Technology Depreciation, And Bt Cotton Adoption In The Southeast," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 26(01), July.
    3. Mark Rosenzweig & Andrew D. Foster, . "Learning by Doing and Learning from Others: Human Capital and Technical Change in Agriculture," Home Pages _068, University of Pennsylvania.
    4. Karp, Larry S. & Perloff, Jeffrey M., 1993. "Open-loop and feedback models of dynamic oligopoly," International Journal of Industrial Organization, Elsevier, vol. 11(3), pages 369-389, September.
    5. Deodhar, Satish Y. & Sheldon, Ian M., 1997. "Market Power In The World Market For Soymeal Exports," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 22(01), July.
    6. Gollop, Frank M. & Roberts, Mark J., 1979. "Firm interdependence in oligopolistic markets," Journal of Econometrics, Elsevier, vol. 10(3), pages 313-331, August.
    7. Dixon, Robert J, 1980. "Hybrid Corn Revisited," Econometrica, Econometric Society, vol. 48(6), pages 1451-61, September.
    8. G. Ellison & D. Fudenberg, 2010. "Rules of Thumb for Social Learning," Levine's Working Paper Archive 435, David K. Levine.
    9. Giancarlo Moschini & Harvey Lapan & Andrei Sobolevsky, 2000. "Roundup ready� soybeans and welfare effects in the soybean complex," Agribusiness, John Wiley & Sons, Ltd., vol. 16(1), pages 33-55.
    10. A.J. Fischer & A.J. Arnold & M. Gibbs, 1996. "Information and the Speed of Innovation Adoption," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 78(4), pages 1073-1081.
    11. Ryder, Harl E, Jr & Heal, Geoffrey M, 1973. "Optimum Growth with Intertemporally Dependent Preferences," Review of Economic Studies, Wiley Blackwell, vol. 40(1), pages 1-33, January.
    12. Fershtman, Chaim & Kamien, Morton I, 1987. "Dynamic Duopolistic Competition with Sticky Prices," Econometrica, Econometric Society, vol. 55(5), pages 1151-64, September.
    13. Bullock, David S. & Desquilbet, Marion & Nitsi, Elisavet I., 2000. "The Economics Of Non-Gmo Segregation And Identity Preservation," 2000 Annual meeting, July 30-August 2, Tampa, FL 21845, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
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    Cited by:
    1. Desquilbet, Marion & Bullock, David S., 2003. "Who Pays The Costs Of Non-Gmo Segregation And Identity Preservation, And Who Is To Blame?," 2003 Annual meeting, July 27-30, Montreal, Canada 22011, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).

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