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How will mandatory labeling of genetically modified food nudge consumer decision-making?

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  • McFadden, Brandon R.
  • Malone, Trey

Abstract

•We identify heterogeneity in the characteristics of consumers who were nudged by the new choice architecture established by the National Bioengineered Food Disclosure Standard.•Heterogeneity in characteristics was examined in a manner that allowed the comparison of consumers who sought to avoid a genetically modified presence label compared to consumers who sought to gain a genetically modified absence label.•Results indicate that concern about genetically modified food safety is likely a better determinant of willingness to pay to avoid presence labels and gain absence labels than demographic characteristics.•While there was some overlap between the avoid and gain models, insight can be gathered by relaxing the assumption that consumers only seek to avoid or gain a label.

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  • McFadden, Brandon R. & Malone, Trey, 2018. "How will mandatory labeling of genetically modified food nudge consumer decision-making?," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 77(C), pages 186-194.
  • Handle: RePEc:eee:soceco:v:77:y:2018:i:c:p:186-194
    DOI: 10.1016/j.socec.2018.09.004
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    1. Ansolabehere, Stephen & Schaffner, Brian F., 2014. "Does Survey Mode Still Matter? Findings from a 2010 Multi-Mode Comparison," Political Analysis, Cambridge University Press, vol. 22(3), pages 285-303, July.
    2. He, Na & Bernard, John C., 2011. "Differences in WTP and Consumer Demand for Organic and Non-GM Fresh and Processed Foods," Agricultural and Resource Economics Review, Cambridge University Press, vol. 40(2), pages 218-232, September.
    3. Batte, Marvin T. & Hooker, Neal H. & Haab, Timothy C. & Beaverson, Jeremy, 2007. "Putting their money where their mouths are: Consumer willingness to pay for multi-ingredient, processed organic food products," Food Policy, Elsevier, vol. 32(2), pages 145-159, April.
    4. John Crespi & Stéphan Marette, 2003. "“Does Contain” vs. “Does Not Contain”: Does it Matter which GMO Label is Used?," European Journal of Law and Economics, Springer, vol. 16(3), pages 327-344, November.
    5. Fifer, Simon & Rose, John & Greaves, Stephen, 2014. "Hypothetical bias in Stated Choice Experiments: Is it a problem? And if so, how do we deal with it?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 61(C), pages 164-177.
    6. Timothy C. Haab & Matthew G. Interis & Daniel R. Petrolia & John C. Whitehead, 2013. "From Hopeless to Curious? Thoughts on Hausman's "Dubious to Hopeless" Critique of Contingent Valuation," Applied Economic Perspectives and Policy, Agricultural and Applied Economics Association, vol. 35(4), pages 593-612.
    7. Jayson L. Lusk & Ted C. Schroeder, 2004. "Are Choice Experiments Incentive Compatible? A Test with Quality Differentiated Beef Steaks," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 86(2), pages 467-482.
    8. Jayson L. Lusk, 2017. "Consumer Research with Big Data: Applications from the Food Demand Survey (FooDS)," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 99(2), pages 303-320.
    9. Loureiro, Maria L. & Hine, Susan, 2002. "Discovering Niche Markets: A Comparison of Consumer Willingness to Pay for Local (Colorado Grown), Organic, and GMO-Free Products," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 34(3), pages 477-487, December.
    10. John A. List, 2001. "Do Explicit Warnings Eliminate the Hypothetical Bias in Elicitation Procedures? Evidence from Field Auctions for Sportscards," American Economic Review, American Economic Association, vol. 91(5), pages 1498-1507, December.
    11. Jakina Debnam, 2017. "Selection Effects and Heterogeneous Demand Responses to the Berkeley Soda Tax Vote," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 99(5), pages 1172-1187.
    12. He, Na & Bernard, John C., 2011. "Differences in WTP and Consumer Demand for Organic and Non-GM Fresh and Processed Foods," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 40(2), pages 1-15, August.
    13. Laura O. Taylor & Ronald G. Cummings, 1999. "Unbiased Value Estimates for Environmental Goods: A Cheap Talk Design for the Contingent Valuation Method," American Economic Review, American Economic Association, vol. 89(3), pages 649-665, June.
    14. Bernard, John C. & Zhang, Chao & Gifford, Katie, 2006. "An Experimental Investigation of Consumer Willingness to Pay for Non-GM Foods When an Organic Option Is Present," Agricultural and Resource Economics Review, Cambridge University Press, vol. 35(2), pages 374-385, October.
    15. Brandon R McFadden & Jayson L Lusk, 2018. "Effects of the National Bioengineered Food Disclosure Standard: Willingness To Pay for Labels that Communicate the Presence or Absence of Genetic Modification," Applied Economic Perspectives and Policy, Agricultural and Applied Economics Association, vol. 40(2), pages 259-275.
    16. Loomis, John B., 2014. "2013 WAEA Keynote Address: Strategies for Overcoming Hypothetical Bias in Stated Preference Surveys," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 39(1), pages 1-13, April.
    17. Costanigro, Marco & Lusk, Jayson L., 2014. "The signaling effect of mandatory labels on genetically engineered food," Food Policy, Elsevier, vol. 49(P1), pages 259-267.
    18. Malone, Trey & Lusk, Jayson L., 2019. "Mitigating Choice Overload: An Experiment in the U.S. Beer Market," Journal of Wine Economics, Cambridge University Press, vol. 14(1), pages 48-70, February.
    19. John A. List, 2003. "Does Market Experience Eliminate Market Anomalies?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 118(1), pages 41-71.
    20. Bernard, John C. & Zhang, Chao & Gifford, Katie, 2006. "An Experimental Investigation of Consumer Willingness to Pay for Non-GM Foods When an Organic Option Is Present," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 35(2), pages 1-12, October.
    21. Jerry Hausman, 2012. "Contingent Valuation: From Dubious to Hopeless," Journal of Economic Perspectives, American Economic Association, vol. 26(4), pages 43-56, Fall.
    22. Just, David R., 2017. "The Behavioral Welfare Paradox: Practical, Ethical and Welfare Implications of Nudging," Agricultural and Resource Economics Review, Cambridge University Press, vol. 46(1), pages 1-20, April.
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    Cited by:

    1. Benjamin DeMuth & Trey Malone & Brandon R. McFadden & Christopher A. Wolf, 2023. "Choice effects associated with banning the word “meat” on alternative protein labels," Applied Economic Perspectives and Policy, John Wiley & Sons, vol. 45(1), pages 128-144, March.
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    3. Zheng, Qiujie & Nayga, Rodolfo M. Jr. & Yang, Wei & Tokunaga, Kanae, 2022. "Do U.S. consumers value genetically modified farmed salmon?," 2022 Annual Meeting, July 31-August 2, Anaheim, California 322154, Agricultural and Applied Economics Association.

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