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Do consumers care how a genetically engineered food was created or who created it?

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  • Lusk, Jayson L.
  • McFadden, Brandon R.
  • Wilson, Norbert

Abstract

This paper explores heterogeneity in consumer preferences for foods and policies that relate to different innovative plant breeding technologies. As a starting point in our analysis, we report results from almost four years of monthly surveys with U.S. consumers, which show slight food safety concern for genetically engineered food with no discernable trend of increased or decreased concern over time. We find small differences in consumer preferences for policies related to different plant breeding methods, with the strongest support for the notion that bioengineered crops should be regulated based on health and environmental outcomes rather than the process used to create new crops. Other survey results reveal support or opposition for genetically engineered food depends on consumers’ perceptions of who created the technology. We also find that food safety concerns related to genetically engineered food are related to perceptions about the distribution of benefits from the technology across the food supply chain.

Suggested Citation

  • Lusk, Jayson L. & McFadden, Brandon R. & Wilson, Norbert, 2018. "Do consumers care how a genetically engineered food was created or who created it?," Food Policy, Elsevier, vol. 78(C), pages 81-90.
  • Handle: RePEc:eee:jfpoli:v:78:y:2018:i:c:p:81-90
    DOI: 10.1016/j.foodpol.2018.02.007
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    References listed on IDEAS

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    2. Alexandre Magnier & Nicholas Kalaitzandonakes & Jayson Lusk, 2022. "Changes in Consumer Preferences toward Non‐GM Foods within an Information‐Rich Environment: The Case of the Washington State Ballot Initiative," Applied Economic Perspectives and Policy, John Wiley & Sons, vol. 44(1), pages 489-510, March.
    3. Samantha L. Mosier & Arbindra Rimal & Megan M. Ruxton, 2020. "A Song of Policy Incongruence: The Missing Choir of Consumer Preferences in GMO‐Labeling Policy Outcomes," Review of Policy Research, Policy Studies Organization, vol. 37(4), pages 511-534, July.
    4. Fan, Linlin & Stevens, Andrew W. & Thomas, Betty, 2022. "Consumer purchasing response to mandatory genetically engineered labeling," Food Policy, Elsevier, vol. 110(C).
    5. Bindu Paudel & Deepthi E. Kolady & David Just & Evert Van der Sluis, 2023. "Determinants of consumer acceptance of gene‐edited foods and its implications for innovators and policymakers," Agribusiness, John Wiley & Sons, Ltd., vol. 39(3), pages 623-645, July.
    6. Thomas, Elizabeth & Fan, Linlin & Stevens, Andrew W., 2020. "Consumer Purchasing Response to Genetically Engineered Labeling," 2020 Annual Meeting, July 26-28, Kansas City, Missouri 304523, Agricultural and Applied Economics Association.
    7. Yan Heng & Sungeun Yoon & Lisa House, 2021. "Explore Consumers’ Willingness to Purchase Biotechnology Produced Fruit: An International Study," Sustainability, MDPI, vol. 13(22), pages 1-10, November.
    8. Hu, Yang & House, Lisa A. & Gao, Zhifeng, 2022. "How do consumers respond to labels for crispr (gene-editing)?," Food Policy, Elsevier, vol. 112(C).
    9. John C. Beghin & Christopher R. Gustafson, 2021. "Consumer Valuation of and Attitudes towards Novel Foods Produced with New Plant Engineering Techniques: A Review," Sustainability, MDPI, vol. 13(20), pages 1-17, October.
    10. Maria Cristina Yunes & Zimbábwe Osório-Santos & Marina A. G. von Keyserlingk & Maria José Hötzel, 2021. "Gene Editing for Improved Animal Welfare and Production Traits in Cattle: Will This Technology Be Embraced or Rejected by the Public?," Sustainability, MDPI, vol. 13(9), pages 1-20, April.
    11. Valerie Kilders & Vincenzina Caputo, 2021. "Is Animal Welfare Promoting Hornless Cattle? Assessing Consumer’s Valuation for Milk from Gene‐edited Cows under Different Information Regimes," Journal of Agricultural Economics, Wiley Blackwell, vol. 72(3), pages 735-759, September.
    12. Paudel, Bindu & Kolady, Deepthi Elizabeth & Just, David R. & Van Der Sluis, Evert, 2021. "Determinants of consumer acceptance of genetically modified and gene-edited foods: Market and policy implications," 2021 Annual Meeting, August 1-3, Austin, Texas 313905, Agricultural and Applied Economics Association.
    13. Linda Ferrari, 2022. "Farmers' attitude toward CRISPR/Cas9: The case of blast resistant rice," Agribusiness, John Wiley & Sons, Ltd., vol. 38(1), pages 175-194, January.
    14. J. Ross Pruitt & Kaitlyn M. Melton & Marco A. Palma, 2021. "Does Physical Activity Influence Consumer Acceptance of Gene Edited Food?," Sustainability, MDPI, vol. 13(14), pages 1-12, July.
    15. Yang Yang & Jill E. Hobbs, 2020. "The Power of Stories: Narratives and Information Framing Effects in Science Communication," American Journal of Agricultural Economics, John Wiley & Sons, vol. 102(4), pages 1271-1296, August.
    16. Götz, Linde & Svanidze, Miranda & Tissier, Alain & Brand Duran, Alejandro, 2022. "Consumers’ willingness to Buy CRISPR gene-edited tomatoes: Evidence from a choice experiment case study in Germany," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 14(2).
    17. Yulian Ding & Jianyu Yu & Yangyang Sun & Rodolfo M. Nayga & Yunyun Liu, 2023. "Gene‐edited or genetically modified food? The impacts of risk and ambiguity on Chinese consumers' willingness to pay," Agricultural Economics, International Association of Agricultural Economists, vol. 54(3), pages 414-428, May.

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    More about this item

    Keywords

    Consumer; CRISPR; Fairness; GMO; Genetically modified food; Genetically engineered food;
    All these keywords.

    JEL classification:

    • Q13 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Agricultural Markets and Marketing; Cooperatives; Agribusiness
    • Q18 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Agricultural Policy; Food Policy; Animal Welfare Policy
    • C83 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Survey Methods; Sampling Methods

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