IDEAS home Printed from https://ideas.repec.org/a/oup/erevae/v49y2022i2p472-498..html
   My bibliography  Save this article

Malleability of food values amid the COVID-19 pandemic

Author

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.
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1093/erae/jbab025
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    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 9780521766555, November.
    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. 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.
    18. 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.
    19. 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.
    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. West, Grant H. & Snell, Heather & Kovacs, Kent & Nayga, Rodolfo M., 2020. "Estimation of the preferences for the intertemporal services from groundwater," 2020 Annual Meeting, July 26-28, Kansas City, Missouri 304220, Agricultural and Applied Economics Association.
    2. 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.
    3. Kwon, Daye & Liverpool-Tasie, Saweda & Reardon, Thomas A. & Mason-Wardell, Nicole M. & Tasie, Oyinkansola, 2024. "Addressing Conflict and Weather Shocks in Agrifood Value Chains: Policy Preferences of Nigerian Maize Traders," 2024 Annual Meeting, July 28-30, New Orleans, LA 343947, Agricultural and Applied Economics Association.
    4. Wolf, Christopher A. & Tonsor, Glynn T., 2013. "Dairy Farmer Policy Preferences," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 38(2), pages 1-15, August.
    5. Ortega, David L. & Wang, H. Holly & Wu, Laping & Hong, Soo Jeong, 2015. "Retail channel and consumer demand for food quality in China," China Economic Review, Elsevier, vol. 36(C), pages 359-366.
    6. Choi, Andy S., 2013. "Nonmarket values of major resources in the Korean DMZ areas: A test of distance decay," Ecological Economics, Elsevier, vol. 88(C), pages 97-107.
    7. Roy Brouwer & Solomon Tarfasa, 2020. "Testing hypothetical bias in a framed field experiment," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 68(3), pages 343-357, September.
    8. Cheng, Haotian & Zhang, Tong & Lambert, Dayton M. & Feuz, Ryan, 2023. "An empirical comparison of conjoint and best-worst scaling case III methods," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 106(C).
    9. Muunda, Emmanuel & Mtimet, Nadhem & Schneider, Franziska & Wanyoike, Francis & Dominguez-Salas, Paula & Alonso, Silvia, 2021. "Could the new dairy policy affect milk allocation to infants in Kenya? A best-worst scaling approach," Food Policy, Elsevier, vol. 101(C).
    10. Hindsley, Paul & McEvoy, David M. & Morgan, O. Ashton, 2020. "Consumer Demand for Ethical Products and the Role of Cultural Worldviews: The Case of Direct-Trade Coffee," Ecological Economics, Elsevier, vol. 177(C).
    11. Logar, Ivana & Brouwer, Roy & Campbell, Danny, 2020. "Does attribute order influence attribute-information processing in discrete choice experiments?," Resource and Energy Economics, Elsevier, vol. 60(C).
    12. Ochs, Dan & Wolf, Christopher A. & Widmar, Nicole Olynk & Bir, Courtney & Lai, John, 2019. "Hen housing system information effects on U.S. egg demand," Food Policy, Elsevier, vol. 87(C), pages 1-1.
    13. Johnston, Robert J. & Ramachandran, Mahesh & Schultz, Eric T. & Segerson, Kathleen & Besedin, Elena Y., 2011. "Characterizing Spatial Pattern in Ecosystem Service Values when Distance Decay Doesn’t Apply: Choice Experiments and Local Indicators of Spatial Association," 2011 Annual Meeting, July 24-26, 2011, Pittsburgh, Pennsylvania 103374, Agricultural and Applied Economics Association.
    14. Daniel R. Petrolia & Matthew G. Interis & Joonghyun Hwang, 2018. "Single-Choice, Repeated-Choice, and Best-Worst Scaling Elicitation Formats: Do Results Differ and by How Much?," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 69(2), pages 365-393, February.
    15. Carlsson, Fredrik & Frykblom, Peter & Johan Lagerkvist, Carl, 2005. "Using cheap talk as a test of validity in choice experiments," Economics Letters, Elsevier, vol. 89(2), pages 147-152, November.
    16. Schipper, Burkhard C., 2023. "Sex hormones and choice under risk," Journal of Economic Psychology, Elsevier, vol. 96(C).
    17. Tonsor, Glynn T. & Olynk, Nicole & Wolf, Christopher, 2009. "Consumer Preferences for Animal Welfare Attributes: The Case of Gestation Crates," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 41(3), pages 713-730, December.
    18. Rombach, Meike & Widmar, Nicole Olynk & Byrd, Elizabeth & Bitsch, Vera, 2018. "Do all roses smell equally sweet? Willingness to pay for flower attributes in specialized retail settings by German consumers," Journal of Retailing and Consumer Services, Elsevier, vol. 40(C), pages 91-99.
    19. Lin, Wen & Nayga, Rodolfo M., 2022. "Green identity labeling, environmental information, and pro-environmental food choices," Food Policy, Elsevier, vol. 106(C).
    20. Panchalingam, Thadchaigeni & Howard, Gregory & Allen Klaiber, H. & Roe, Brian E., 2023. "Food choice behavior of adolescents under parent-child interaction in the context of US school lunch programs," Food Policy, Elsevier, vol. 115(C).

    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:oup:erevae:v:49:y:2022:i:2:p:472-498.. 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: Oxford University Press (email available below). General contact details of provider: https://edirc.repec.org/data/eaaeeea.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.