IDEAS home Printed from https://ideas.repec.org/a/bla/agecon/v54y2023i3p414-428.html
   My bibliography  Save this article

Gene‐edited or genetically modified food? The impacts of risk and ambiguity on Chinese consumers' willingness to pay

Author

Listed:
  • Yulian Ding
  • Jianyu Yu
  • Yangyang Sun
  • Rodolfo M. Nayga
  • Yunyun Liu

Abstract

This study investigates consumer preferences for newly introduced gene‐edited (GE) food. We focus on how risk and ambiguity aversion affect consumers’ willingness to pay (WTP) to avoid genetically modified (GM) food or GE food and whether the impacts of risk and ambiguity aversion differ between GM and GE food. We collected the data in 2020 through a nationwide online survey in China. The multiple price list method is used to estimate the premiums that consumers are willing to pay for conventional rice to avoid GM/GE rice. Our results show that Chinese urban consumers are more concerned about the health, environmental, and ethical impacts of genetic modification than gene editing technology. They are willing to pay lower premiums when the alternative is GE rice than when it is GM rice. We further find that both risk aversion and ambiguity aversion have significant negative impacts on respondents’ WTP for food derived from gene technologies, with ambiguity aversion being more influential than risk aversion for both GM and GE rice. However, there is no significant difference in how risk aversion and ambiguity aversion affect the respondents’ WTP to avoid GM or GE rice.

Suggested Citation

  • 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.
  • Handle: RePEc:bla:agecon:v:54:y:2023:i:3:p:414-428
    DOI: 10.1111/agec.12767
    as

    Download full text from publisher

    File URL: https://doi.org/10.1111/agec.12767
    Download Restriction: no

    File URL: https://libkey.io/10.1111/agec.12767?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Barasinska, Nataliya & Schäfer, Dorothea & Stephan, Andreas, 2012. "Individual Risk Attitudes and the Composition of Financial Portfolios: Evidence from German Household Portfolios," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 52(1), pages 1-14.
    2. Ida, Takanori & Goto, Rei & Takahashi, Yuko & Nishimura, Shuzo, 2011. "Can economic-psychological parameters predict successful smoking cessation?," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 40(3), pages 285-295, May.
    3. Colson, Gregory & Huffman, Wallace E. & Rousu, Matthew C., 2011. "Improving the Nutrient Content of Food through Genetic Modification: Evidence from Experimental Auctions on Consumer Acceptance," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 36(2), pages 1-22, August.
    4. Brick, Kerri & Visser, Martine, 2015. "Risk preferences, technology adoption and insurance uptake: A framed experiment," Journal of Economic Behavior & Organization, Elsevier, vol. 118(C), pages 383-396.
    5. Sebastian Hess & Carl Johan Lagerkvist & William Redekop & Ashkan Pakseresht, 2016. "Consumers’ evaluation of biotechnologically modified food products: new evidence from a meta-survey," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 43(5), pages 703-736.
    6. Thomas Dohmen & Armin Falk & David Huffman & Uwe Sunde & Jürgen Schupp & Gert G. Wagner, 2011. "Individual Risk Attitudes: Measurement, Determinants, And Behavioral Consequences," Journal of the European Economic Association, European Economic Association, vol. 9(3), pages 522-550, June.
    7. Steffen Andersen & Glenn Harrison & Morten Lau & E. Rutström, 2009. "Elicitation using multiple price list formats," Experimental Economics, Springer;Economic Science Association, vol. 12(3), pages 365-366, September.
    8. Violet Muringai & Xiaoli Fan & Ellen Goddard, 2020. "Canadian consumer acceptance of gene‐edited versus genetically modified potatoes: A choice experiment approach," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 68(1), pages 47-63, March.
    9. Barham, Bradford L. & Chavas, Jean-Paul & Fitz, Dylan & Salas, Vanessa Ríos & Schechter, Laura, 2014. "The roles of risk and ambiguity in technology adoption," Journal of Economic Behavior & Organization, Elsevier, vol. 97(C), pages 204-218.
    10. 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.
    11. Yoram Halevy, 2007. "Ellsberg Revisited: An Experimental Study," Econometrica, Econometric Society, vol. 75(2), pages 503-536, March.
    12. Jean‐Paul Chavas & Céline Nauges, 2020. "Uncertainty, Learning, and Technology Adoption in Agriculture," Applied Economic Perspectives and Policy, John Wiley & Sons, vol. 42(1), pages 42-53, March.
    13. Colson, Gregory & Huffman, Wallace E. & Rousu, Matthew C., 2011. "Improving the Nutrient Content of Food through Genetic Modification: Evidence from Experimental Auctions on Consumer Acceptance," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 36(2), pages 1-22, August.
    14. Jayson L. Lusk & Keith H. Coble, 2005. "Risk Perceptions, Risk Preference, and Acceptance of Risky Food," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 87(2), pages 393-405.
    15. Zengjing Chen & Larry Epstein, 2002. "Ambiguity, Risk, and Asset Returns in Continuous Time," Econometrica, Econometric Society, vol. 70(4), pages 1403-1443, July.
    16. Hu, Wuyang & Zhong, Funing & Ding, Yulian, 2006. "Actual Media Reports on GM Foods and Chinese Consumers' Willingness to Pay for GM Soybean Oil," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 31(2), pages 1-15, August.
    17. 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.
    18. Gharad Bryan, 2019. "Ambiguity Aversion Decreases the Impact of Partial Insurance: Evidence from African Farmers," Journal of the European Economic Association, European Economic Association, vol. 17(5), pages 1428-1469.
    19. Daniel Ellsberg, 1961. "Risk, Ambiguity, and the Savage Axioms," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 75(4), pages 643-669.
    20. Dimmock, Stephen G. & Kouwenberg, Roy & Mitchell, Olivia S. & Peijnenburg, Kim, 2016. "Ambiguity aversion and household portfolio choice puzzles: Empirical evidence," Journal of Financial Economics, Elsevier, vol. 119(3), pages 559-577.
    21. 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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. 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.
    2. Jeffrey Butler & Luigi Guiso & Tullio Jappelli, 2014. "The role of intuition and reasoning in driving aversion to risk and ambiguity," Theory and Decision, Springer, vol. 77(4), pages 455-484, December.
    3. Wu, Haixia & Ge, Yan & Li, Jianping, 2023. "Uncertainty, time preference and households’ adoption of rooftop photovoltaic technology," Energy, Elsevier, vol. 276(C).
    4. 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.
    5. Dlugosch, Dennis & Horn, Kristian & Wang, Mei, 2023. "New experimental evidence on the relationship between home bias, ambiguity aversion and familiarity heuristics," Journal of Economics and Business, Elsevier, vol. 125.
    6. Crentsil, Christian & Gschwandtner, Adelina & Wahhaj, Zaki, 2020. "The effects of risk and ambiguity aversion on technology adoption: Evidence from aquaculture in Ghana," Journal of Economic Behavior & Organization, Elsevier, vol. 179(C), pages 46-68.
    7. Ahsanuzzaman, & Palm-Forster, Leah H. & Suter, Jordan F., 2022. "Experimental evidence of common pool resource use in the presence of uncertainty," Journal of Economic Behavior & Organization, Elsevier, vol. 194(C), pages 139-160.
    8. Cosmin L. Ilut & Martin Schneider, 2022. "Modeling Uncertainty as Ambiguity: a Review," NBER Working Papers 29915, National Bureau of Economic Research, Inc.
    9. Stephen G. Dimmock & Roy Kouwenberg & Peter P. Wakker, 2016. "Ambiguity Attitudes in a Large Representative Sample," Management Science, INFORMS, vol. 62(5), pages 1363-1380, May.
    10. Kaywana Raeburn & Jim Engle-Warnick & Sonia Laszlo, 2016. "Determinants of Food Consumption Choices: Experimental Evidence from St. Kitts," CIRANO Working Papers 2016s-43, CIRANO.
    11. Gertsman, Gleb, 2023. "Behavioral preferences and beliefs in asset pricing," Other publications TiSEM c7196596-1bf8-47c9-a147-6, Tilburg University, School of Economics and Management.
    12. Wu, Haixia & Li, Jianping & Ge, Yan, 2022. "Ambiguity preference, social learning and adoption of soil testing and formula fertilization technology," Technological Forecasting and Social Change, Elsevier, vol. 184(C).
    13. Aggarwal, Divya & Damodaran, Uday, 2020. "Ambiguity attitudes and myopic loss aversion: Experimental evidence using carnival games," Journal of Behavioral and Experimental Finance, Elsevier, vol. 25(C).
    14. Freudenreich, Hanna & Musshoff, Oliver, 2022. "Experience of losses and aversion to uncertainty - experimental evidence from farmers in Mexico," Ecological Economics, Elsevier, vol. 195(C).
    15. Corgnet, Brice & Hernán-González, Roberto & Kujal, Praveen, 2020. "On booms that never bust: Ambiguity in experimental asset markets with bubbles," Journal of Economic Dynamics and Control, Elsevier, vol. 110(C).
    16. Nagisa Shiiba & Hide-Fumi Yokoo & Voravee Saengavut & Siraprapa Bumrungkit, 2023. "Ambiguity Aversion And Individual Adaptation To Climate Change: Evidence From A Farmer Survey In Northeastern Thailand," Climate Change Economics (CCE), World Scientific Publishing Co. Pte. Ltd., vol. 14(01), pages 1-29, February.
    17. Sujoy Mukerji & Han N. Ozsoylev & Jean‐Marc Tallon, 2023. "Trading Ambiguity: A Tale Of Two Heterogeneities," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 64(3), pages 1127-1164, August.
    18. Milos Borozan & Loreta Cannito & Barbara Luppi, 2022. "A tale of two ambiguities: A conceptual overview of findings from economics and psychology," Journal of Behavioral Economics for Policy, Society for the Advancement of Behavioral Economics (SABE), vol. 6(S1), pages 11-21, July.
    19. Salmon, Timothy C. & Shniderman, Adam, 2019. "Ambiguity in criminal punishment," Journal of Economic Behavior & Organization, Elsevier, vol. 163(C), pages 361-376.
    20. Sujoy Mukerji & Han N. Ozsoylev & Jean‐Marc Tallon, 2023. "Trading Ambiguity: A Tale Of Two Heterogeneities," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 64(3), pages 1127-1164, August.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:bla:agecon:v:54:y:2023:i:3:p:414-428. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Wiley Content Delivery (email available below). General contact details of provider: https://edirc.repec.org/data/iaaeeea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.