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A Multinomial Logit Model Of Consumer Perceptions For Biotech Food Labeling

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  • Han, Jae-Hwan
  • Harrison, R. Wes

Abstract

A multinomial logit analysis is employed to analyze consumers' perceptions about purchasing biotech foods and their preferences for mandatory and voluntary labeling. Results showed that consumers who are sensitive to the possible side effects of biotech crops on wildlife and the environment are more likely to support a mandatory labeling policy. Results also indicated that respondents who believe biotech foods may have unforeseen health risks are more likely to favor mandatory labeling. Furthermore, the study found that respondents who are willing to buy a meat product produced using biotechnology are more likely to favor a voluntary labeling policy.

Suggested Citation

  • Han, Jae-Hwan & Harrison, R. Wes, 2004. "A Multinomial Logit Model Of Consumer Perceptions For Biotech Food Labeling," 2004 Annual meeting, August 1-4, Denver, CO 20157, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    • Handle: RePEc:ags:aaea04:20157
    DOI: 10.22004/ag.econ.20157
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    References listed on IDEAS

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