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The brave new world: imperfect information, segregation costs, and genetically modified organisms


  • Moss, Charles B.
  • Schmitz, Troy G.
  • Schmitz, Andrew


The introduction of genetically modified (GM) crops in the mid 1990s appeared to be the latest in a string of technological innovations in agriculture. However, consumer resistance, particularly in Europe has limited the sector’s enthusiasm. One response to the limited enthusiasm has been the emergence of segregated markets for GM and non-GM products. These separated markets reduce economic welfare because they require additional costs in the marketing system. Offsetting these segregation costs, however, the introduction of GM technologies offers increased economic welfare through reduced commodity prices for consumers who are indifferent to the presence of GM traits and increased profits to producers who adopt GM technologies. This study develops the combinations of segregation costs and increased supplies that leave societal surplus unchanged. Any GM technology that yields a larger increase in supply for any segregation cost depicted in this relationship meets the compensation principle and, thus, improves societal welfare. In this case, market based adoption of these technologies improve economic surplus. On the other hand, technologies that yields less increase in supply for any segregation cost reduces societal welfare. Under this scenario, market based adoption will not be welfare improving and, hence, government regulation may be required.

Suggested Citation

  • Moss, Charles B. & Schmitz, Troy G. & Schmitz, Andrew, 2004. "The brave new world: imperfect information, segregation costs, and genetically modified organisms," German Journal of Agricultural Economics, Humboldt-Universitaet zu Berlin, Department for Agricultural Economics, vol. 53(8).
  • Handle: RePEc:ags:gjagec:97497

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    References listed on IDEAS

    1. K. J. Arrow, 1964. "The Role of Securities in the Optimal Allocation of Risk-bearing," Review of Economic Studies, Oxford University Press, vol. 31(2), pages 91-96.
    2. Odening, Martin & Musshoff, Oliver & Huettel, Silke, 2003. "Empirische Validierung von Realoptionsmodellen," Working Paper Series 18825, Humboldt University Berlin, Department Agricultural Economics.
    3. P. B. R. Hazell, 1971. "A Linear Alternative to Quadratic and Semivariance Programming for Farm Planning under Uncertainty," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 53(1), pages 53-62.
    4. Dickey, David A & Fuller, Wayne A, 1981. "Likelihood Ratio Statistics for Autoregressive Time Series with a Unit Root," Econometrica, Econometric Society, vol. 49(4), pages 1057-1072, June.
    5. B. Curtis Eaves, 1971. "On Quadratic Programming," Management Science, INFORMS, vol. 17(11), pages 698-711, July.
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