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Consumer Acceptance of Gene-Edited versus Genetically Modified Foods in Korea

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  • Eunae Son

    (Department of Food and Resource Economics, Korea University, Seoul 02841, Korea)

  • Song Soo Lim

    (Department of Food and Resource Economics, Korea University, Seoul 02841, Korea)

Abstract

Food made with gene-editing has received considerable attention in recent years because it is claimed to be a little different from traditional genetically modified breeding methods concerning safety. However, consumer acceptance of these novel foods and their potential market uptake remains to be answered. This study aims to assess differences in the acceptance of gene-edited and genetically modified foods in Korea. The choice-based conjoint analysis is adopted to estimate part-worth functions for the soybean oil attributes with 200 surveyed samples. The estimated part-worth values reveal how much each attribute affects consumers’ decision-making. Estimated results suggest that consumers tend to accept gene-editing more than genetically modified foods. The acceptance of novel technology is shown to correspond closely to the degree of consumers’ scientific knowledge, highlighting the importance of revealing relevant information regarding the technology. Results also show that country of origin is a significant food-specific attitudinal factor in shaping consumer preferences.

Suggested Citation

  • Eunae Son & Song Soo Lim, 2021. "Consumer Acceptance of Gene-Edited versus Genetically Modified Foods in Korea," IJERPH, MDPI, vol. 18(7), pages 1-17, April.
    • Handle: RePEc:gam:jijerp:v:18:y:2021:i:7:p:3805-:d:530648
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    as
    1. Vermeulen, Bart & Goos, Peter & Vandebroek, Martina, 2008. "Models and optimal designs for conjoint choice experiments including a no-choice option," International Journal of Research in Marketing, Elsevier, vol. 25(2), pages 94-103.
    2. Hausman, Jerry & McFadden, Daniel, 1984. "Specification Tests for the Multinomial Logit Model," Econometrica, Econometric Society, vol. 52(5), pages 1219-1240, September.
    3. Vithala R. Rao, 2014. "Applied Conjoint Analysis," Springer Books, Springer, edition 127, number 978-3-540-87753-0, October.
    4. Manalo, Alberto B., 1990. "Assessing The Importance Of Apple Attributes: An Agricultural Application Of Conjoint Analysis," Northeastern Journal of Agricultural and Resource Economics, Northeastern Agricultural and Resource Economics Association, vol. 19(2), pages 1-7, October.
    5. Halbrendt, Catherine K. & Wirth, Ferdinand F. & Vaughn, Gerald F., 1991. "Conjoint Analysis Of The Mid-Atlantic Food-Fish Market For Farm-Raised Hybrid Striped Bass," Southern Journal of Agricultural Economics, Southern Agricultural Economics Association, vol. 23(1), pages 1-9, July.
    6. Daniel McFadden, 1986. "The Choice Theory Approach to Market Research," Marketing Science, INFORMS, vol. 5(4), pages 275-297.
    7. Kelvin J. Lancaster, 1966. "A New Approach to Consumer Theory," Journal of Political Economy, University of Chicago Press, vol. 74(2), pages 132-132.
    8. Ståle Navrud & Kirsten Grønvik Bråten, 2007. "Consumers' Preferences for Green and Brown Electricity : a Choice Modelling Approach," Revue d'économie politique, Dalloz, vol. 117(5), pages 795-811.
    9. Christoph, Inken B. & Roosen, Jutta & Bruhn, Maike, 2006. "Willingness to pay for genetically modified food and non-food products," 2006 Annual meeting, July 23-26, Long Beach, CA 21303, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    10. Baker, Gregory A. & Burnham, Thomas A., 2001. "Consumer Response To Genetically Modified Foods: Market Segment Analysis And Implications For Producers And Policy Makers," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 26(2), pages 1-17, December.
    11. Berning, Joshua & Campbell, Ben, 2017. "Consumer Preference and Market Simulations of Food and Non-Food GMO Introductions," 2017 Annual Meeting, February 4-7, 2017, Mobile, Alabama 252733, Southern Agricultural Economics Association.
    12. Bohm, Peter, 1972. "Estimating demand for public goods: An experiment," European Economic Review, Elsevier, vol. 3(2), pages 111-130.
    13. W. Bruce Traill, 2004. "Effect of information about benefits of biotechnology on consumer acceptance of genetically modified food: evidence from experimental auctions in the United States, England, and France," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 31(2), pages 179-204, June.
    14. Delmond, Anthony R. & McCluskey, Jill J. & Yormirzoev, Mirzobobo & Rogova, Maria A., 2018. "Russian consumer willingness to pay for genetically modified food," Food Policy, Elsevier, vol. 78(C), pages 91-100.
    15. S. V. Ciriacy-Wantrup, 1947. "Capital Returns from Soil-Conservation Practices," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 29(4_Part_II), pages 1181-1196.
    16. Jayson L. Lusk, 2003. "Effects of Cheap Talk on Consumer Willingness-to-Pay for Golden Rice," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 85(4), pages 840-856.
    17. Green, Paul E & Srinivasan, V, 1978. "Conjoint Analysis in Consumer Research: Issues and Outlook," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 5(2), pages 103-123, Se.
    18. 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.
    19. Peter Bohm, 1972. "Estimating the demand for public goods: An experiment," Framed Field Experiments 00126, The Field Experiments Website.
    20. John Fox & Jayson Lusk, 2003. "Value elicitation in laboratory and retail environments," Framed Field Experiments 00185, The Field Experiments Website.
    21. Lusk, Jayson L. & Fox, John A., 2003. "Value elicitation in retail and laboratory environments," Economics Letters, Elsevier, vol. 79(1), pages 27-34, April.
    22. Kessels, Roselinde & Goos, Peter & Vandebroek, Martina, 2008. "Optimal designs for conjoint experiments," Computational Statistics & Data Analysis, Elsevier, vol. 52(5), pages 2369-2387, January.
    23. Halbrendt, C.K. & Wirth, F.F. & Vaughn, G.F., 1991. "Conjoint Analysis of the Mid-Atlantic Food-Fish Market for Farm-Raised Hybrid Striped Bass," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 23(1), pages 155-163, July.
    24. Susan Miles & Christine Hafner & Suzanne Bolhaar & Eloina González Mancebo & Montserrat Fernández‐Rivas & André Knulst & Karin Hoffmann‐Sommergruber, 2006. "Attitudes Towards Genetically Modified Food with a Specific Consumer Benefit in Food Allergic Consumers and Non‐food Allergic Consumers," Journal of Risk Research, Taylor & Francis Journals, vol. 9(7), pages 801-813.
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    1. Thøgersen, John, 2023. "How does origin labelling on food packaging influence consumer product evaluation and choices? A systematic literature review," Food Policy, Elsevier, vol. 119(C).

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