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‘GMO-Free’ Labels – Enhancing Transparency or Deceiving Consumers?

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  • Henseleit, Meike
  • Kubitzki, Sabine

Abstract

Since most consumers particularly in industrialised countries are concerned about the application of genetic engineering in food production, producers in many nations got the opportunity to label products as free of genetically modified organisms (GMOs) by the introduction of legal regulations. Standards of these regulations for labelling food products ‘GMO-free’ usually relate to product itself, not to the process of production. Therefore, it is quite possible that consumers’ understanding of ‘GMO-free’ differs from what the label actually stands for, especially regarding animal products. We conducted a consumer survey in order to explore potential gaps between their ideas of ‘GMO-free’ food and what the label actually stands for at the example of the German regulation covering the labelling of foods as ‘GMO-free’.

Suggested Citation

  • Henseleit, Meike & Kubitzki, Sabine, 2009. "‘GMO-Free’ Labels – Enhancing Transparency or Deceiving Consumers?," 2009 Conference, August 16-22, 2009, Beijing, China 51029, International Association of Agricultural Economists.
  • Handle: RePEc:ags:iaae09:51029
    DOI: 10.22004/ag.econ.51029
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    References listed on IDEAS

    as
    1. Lusk, Jayson L. & Rozan, Anne, 2008. "Public Policy and Endogenous Beliefs: The Case of Genetically Modified Food," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 33(2), pages 1-20.
    2. Mittal, Banwari & Lee, Myung-Soo, 1989. "A causal model of consumer involvement," Journal of Economic Psychology, Elsevier, vol. 10(3), pages 363-389, November.
    3. Bansal, Sangeeta & Ramaswami, Bharat, 2007. "The economics of GM food labels: An evaluation of mandatory labeling proposals in India," IFPRI discussion papers 704, International Food Policy Research Institute (IFPRI).
    4. Hallman, William K. & Adelaja, Adesoji O. & Schilling, Brian J. & Lang, John T., 2002. "Public Perceptions Of Genetically Modified Foods: Americans Know Not What They Eat," Research Reports 18176, Rutgers University, Food Policy Institute.
    5. Wachenheim, Cheryl J. & Vanwechel, Tamara, 2004. "The Influence Of Environmental-Impact Information On Consumer Willingness To Pay For Products Labeled As Free Of Genetically Modified Ingredients," Journal of Food Distribution Research, Food Distribution Research Society, vol. 35(2), pages 1-13, July.
    6. repec:ags:inpuer:188880 is not listed on IDEAS
    7. House, Lisa & Lusk, Jayson L. & Jaeger, Sara & Traill, W. Bruce & Moore, Melissa & Valli, Carlotta & Morrow, Bert & Yee, Wallace M.S., 2004. "Objective And Subjective Knowledge: Impacts On Consumer Demand For Genetically Modified Foods In The United States And The European Union," 2004 Annual meeting, August 1-4, Denver, CO 20125, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    Full references (including those not matched with items on IDEAS)

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