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Malleability of food values amid the COVID-19 pandemic

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Listed:
  • Simone Cerroni
  • Rodolfo M Nayga
  • Gioacchino Pappalardo
  • Wei Yang

Abstract

Food values are supposed to be stable. This paper tests this assumption by comparing food values before and during the coronavirus-19 pandemic. While the ranking of food values remains very similar, there are some interesting differences in the relative importance that consumers attached to food values before and during the pandemic. A substantial decrease in the importance that consumers attach to food safety was observed during the pandemic, while there was a moderate increase in the importance attached to taste, nutrition, appearance, convenience and origin. The changes in food values vary across sociodemographic groups. Implications of the results are discussed.

Suggested Citation

  • Simone Cerroni & Rodolfo M Nayga & Gioacchino Pappalardo & Wei Yang, 2022. "Malleability of food values amid the COVID-19 pandemic," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 49(2), pages 472-498.
    • Handle: RePEc:oup:erevae:v:49:y:2022:i:2:p:472-498.
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    1. Scott R Baker & Robert A Farrokhnia & Steffen Meyer & Michaela Pagel & Constantine Yannelis & Jeffrey Pontiff, 0. "How Does Household Spending Respond to an Epidemic? Consumption during the 2020 COVID-19 Pandemic," The Review of Asset Pricing Studies, Society for Financial Studies, vol. 10(4), pages 834-862.
    2. Thomas Dohmen & Armin Falk & Bart H. H. Golsteyn & David Huffman & Uwe Sunde, 2017. "Risk Attitudes Across The Life Course," Economic Journal, Royal Economic Society, vol. 127(605), pages 95-116, October.
    3. Catherine C. Eckel & Philip J. Grossman, 2002. "Sex Differences and Statistical Stereotyping in Attitudes Toward Financial Risk," Monash Economics Working Papers archive-03, Monash University, Department of Economics.
    4. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521747387.
    5. Eric J. Wailes & Gail L. Cramer, 1997. "A Microeconometric Analysis of Consumer Taste Determination and Taste Change for Beef," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 79(2), pages 573-582.
    6. Hess, Stephane & Train, Kenneth, 2017. "Correlation and scale in mixed logit models," Journal of choice modelling, Elsevier, vol. 23(C), pages 1-8.
    7. Claudia Bazzani & Geir W Gustavsen & Rodolfo M Nayga & Kyrre Rickertsen, 2018. "A comparative study of food values between the United States and Norway," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 45(2), pages 239-272.
    8. Thomas Dohmen & Armin Falk & Bart H. H. Golsteyn & David Huffman & Uwe Sunde, 2017. "Risk Attitudes Across The Life Course," Economic Journal, Royal Economic Society, vol. 127(605), pages 95-116, October.
    9. Flynn, Terry N. & Louviere, Jordan J. & Peters, Tim J. & Coast, Joanna, 2007. "Best-worst scaling: What it can do for health care research and how to do it," Journal of Health Economics, Elsevier, vol. 26(1), pages 171-189, January.
    10. Alekseev, Aleksandr & Charness, Gary & Gneezy, Uri, 2017. "Experimental methods: When and why contextual instructions are important," Journal of Economic Behavior & Organization, Elsevier, vol. 134(C), pages 48-59.
    11. Brenna Ellison & Brandon McFadden & Bradley J. Rickard & Norbert L. W. Wilson, 2021. "Examining Food Purchase Behavior and Food Values During the COVID‐19 Pandemic," Applied Economic Perspectives and Policy, John Wiley & Sons, vol. 43(1), pages 58-72, March.
    12. X. M. Gao & Timothy Richards & Albert Kagan, 1997. "A latent variable model of consumer taste determination and taste change for complex carbohydrates," Applied Economics, Taylor & Francis Journals, vol. 29(12), pages 1643-1654.
    13. Simone Cerroni, 2020. "Eliciting farmers’ subjective probabilities, risk, and uncertainty preferences using contextualized field experiments," Agricultural Economics, International Association of Agricultural Economists, vol. 51(5), pages 707-724, September.
    14. Krinsky, Itzhak & Robb, A Leslie, 1986. "On Approximating the Statistical Properties of Elasticities," The Review of Economics and Statistics, MIT Press, vol. 68(4), pages 715-719, November.
    15. Gregory L. Poe & Kelly L. Giraud & John B. Loomis, 2005. "Computational Methods for Measuring the Difference of Empirical Distributions," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 87(2), pages 353-365.
    16. Jayson L. Lusk & Ted C. Schroeder & Glynn T. Tonsor, 2014. "Editor's choice Distinguishing beliefs from preferences in food choice," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 41(4), pages 627-655.
    17. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521747387.
    18. Jasper Grashuis & Theodoros Skevas & Michelle S. Segovia, 2020. "Grocery Shopping Preferences during the COVID-19 Pandemic," Sustainability, MDPI, vol. 12(13), pages 1-10, July.
    19. Kar H. Lim & Wuyang Hu & Leigh J. Maynard & Ellen Goddard, 2014. "A Taste for Safer Beef? How Much Does Consumers’ Perceived Risk Influence Willingness to Pay for Country‐of‐Origin Labeled Beef," Agribusiness, John Wiley & Sons, Ltd., vol. 30(1), pages 17-30, January.
    20. Seda Erdem & Dan Rigby, 2013. "Investigating Heterogeneity in the Characterization of Risks Using Best Worst Scaling," Risk Analysis, John Wiley & Sons, vol. 33(9), pages 1728-1748, September.
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