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Analysis of Consumer Preferences for Biotech Labeling Formats

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  • Harrison, R. Wes
  • Mclennon, Everald
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    Abstract

    Conjoint analysis is used to measure the preferences of United States consumers for labeling of biotech foods. The study found that consumers in the sample support mandatory labeling of biotech foods. This suggests that U.S. consumers would support revisions to the present voluntary labeling policy of the U.S. Food and Drug Administration and the U.S. Department of Agriculture. Results also showed that the preferred labeling formal is a text disclosure that describes the benefits of biotechnology in combination with a biotech logo.

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    File URL: http://purl.umn.edu/42937
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    Bibliographic Info

    Article provided by Southern Agricultural Economics Association in its journal Journal of Agricultural and Applied Economics.

    Volume (Year): 36 (2004)
    Issue (Month): 01 (April)
    Pages:

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    Handle: RePEc:ags:joaaec:42937

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    Web page: http://www.saea.org/jaae/jaae.htm
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    Related research

    Keywords: Agricultural Biotechnology; Labeling; Conjoint Analysis; Q18; Q13;

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    References

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    1. Roe, Brian & Boyle, Kevin J. & Teisl, Mario F., 1996. "Using Conjoint Analysis to Derive Estimates of Compensating Variation," Journal of Environmental Economics and Management, Elsevier, vol. 31(2), pages 145-159, September.
    2. Lusk, Jayson L. & Fox, John A., 2002. "Consumer Demand For Mandatory Labeling Of Beef From Cattle Administered Growth Hormones Or Fed Genetically Modified Corn," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 34(01), April.
    3. Hine, Susan E. & Loureiro, Maria L., 2002. "Understanding Consumers' Perceptions Toward Biotechnology And Labeling," 2002 Annual meeting, July 28-31, Long Beach, CA 19898, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    4. Kim, Sung-Yong & Nayga, Rodolfo M., Jr. & Capps, Oral, Jr., 2000. "The Effect Of Food Label Use On Nutrient Intakes: An Endogenous Switching Regression Analysis," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 25(01), July.
    5. Caswell, Julie A., 1998. "How Labeling Of Safety And Process Attributes Affects Markets For Food," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 27(2), October.
    6. Caswell, Julie A. & Mojduszka, Eliza M., 1996. "Using Informational Labeling To Influence The Market For Quality In Food Products," Working Papers 25989, Regional Research Project NE-165 Private Strategies, Public Policies, and Food System Performance.
    7. Gary Crow, 1997. "Estimating the Values of Cattle Characteristics Using an Ordered Probit Model," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 79(2), pages 463-476.
    8. Holland, Daniel S. & Roheim, Cathy A., 1998. "Predicting Consumer Preferences For Fresh Salmon: The Influence Of Safety Inspection And Production Method Attributes," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 27(1), April.
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    Citations

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    Cited by:
    1. Harrison, R. Wes & Han, Jae-Hwan, 2005. "The Effects of Urban Consumer Perceptions on Attitudes for Labeling of Genetically Modified Foods," Journal of Food Distribution Research, Food Distribution Research Society, vol. 36(02), July.
    2. Aguilar, Francisco X. & Vlosky, Richard P., 2007. "Consumer willingness to pay price premiums for environmentally certified wood products in the U.S," Forest Policy and Economics, Elsevier, vol. 9(8), pages 1100-1112, May.
    3. Aguilar, Francisco X., 2009. "Investment preferences for wood-based energy initiatives in the US," Energy Policy, Elsevier, vol. 37(6), pages 2292-2299, June.

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