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A Risk Perception Analysis Of Genetically Modified Foods Based On Stated Preferences

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  • Bugbee, Marcia
  • Loureiro, Maria L.

Abstract

Most of the existing literature deals with consumer willingness to pay for GM-free food, or consumer willingness to accept for GM food. However, it is well know that consumers have mixed views about GM foods. In this research, we do not presume that all consumers may just have positive or negative preferences about GM products. Rather, heterogeneous preferences are considered. This paper presents a contingent valuation questioning sequence and associated modeling approaches that allow identification of both positive and negative preferences. Willingness to pay (WTP) for the GM product is contrasted with willingness to accept (WTA) compensation to buy it.

Suggested Citation

  • Bugbee, Marcia & Loureiro, Maria L., 2003. "A Risk Perception Analysis Of Genetically Modified Foods Based On Stated Preferences," 2003 Annual meeting, July 27-30, Montreal, Canada 22017, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    • Handle: RePEc:ags:aaea03:22017
    DOI: 10.22004/ag.econ.22017
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    Cited by:

    1. Dannenberg, Astrid, 2008. "Is it Who You Ask or How You Ask? Findings of a Meta-Analysis on Genetically Modified Food Valuation Studies," ZEW Discussion Papers 08-096, ZEW - Leibniz Centre for European Economic Research.
    2. James O. Bukenya & Natasha R. Wright, 2007. "Determinants of consumer attitudes and purchase intentions with regard to genetically modified tomatoes," Agribusiness, John Wiley & Sons, Ltd., vol. 23(1), pages 117-130.
    3. Dannenberg, Astrid, 2009. "The dispersion and development of consumer preferences for genetically modified food -- A meta-analysis," Ecological Economics, Elsevier, vol. 68(8-9), pages 2182-2192, June.
    4. Lusk, Jayson L. & Jamal, Mustafa & Kurlander, Lauren & Roucan, Maud & Taulman, Lesley, 2005. "A Meta-Analysis of Genetically Modified Food Valuation Studies," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 30(1), pages 1-17, April.

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    Risk and Uncertainty;

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