IDEAS home Printed from https://ideas.repec.org/a/bla/agecon/v52y2021i6p927-943.html
   My bibliography  Save this article

Relative valuation of food and non‐food risks with a comparison to actuarial values: A best–worst approach

Author

Listed:
  • Kayode Ajewole
  • Elliott Dennis
  • Ted C. Schroeder
  • Jason Bergtold

Abstract

This study empiricallytests the relative importance that U.S. consumers place on immediate and long‐term food and non‐food risks. We use a best–worst survey method to elicit relative rankings and weights for each risk in terms of its perceived cost and likelihood. Immediate food risks are perceived to be more costly but less likely than long‐term food risks. Immediate non‐food risks are perceived to be both more costly and likely than long‐term non‐food risks. Overall, food risks are perceived to be less expensive than non‐food risks. The combination of perceived cost and likelihood is used to define a measure of relative risk value. Immediate food, immediate non‐food, and long‐term non‐food risks generally have greater relative risk values than long‐term food risks. On average, individuals overperceive the likelihoods, costs, and risk values of both food and non‐food risks relative to actuarial data. These results are consistent across different parametric and non‐parametric estimation methods. The results have important implications for insurance rate setting, food and non‐food risk interventions, and public health campaigns.

Suggested Citation

  • Kayode Ajewole & Elliott Dennis & Ted C. Schroeder & Jason Bergtold, 2021. "Relative valuation of food and non‐food risks with a comparison to actuarial values: A best–worst approach," Agricultural Economics, International Association of Agricultural Economists, vol. 52(6), pages 927-943, November.
  • Handle: RePEc:bla:agecon:v:52:y:2021:i:6:p:927-943
    DOI: 10.1111/agec.12671
    as

    Download full text from publisher

    File URL: https://doi.org/10.1111/agec.12671
    Download Restriction: no

    File URL: https://libkey.io/10.1111/agec.12671?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. Teisl, Mario F. & Roe, Brian E., 2010. "Consumer willingness-to-pay to reduce the probability of retail foodborne pathogen contamination," Food Policy, Elsevier, vol. 35(6), pages 521-530, December.
    2. Johan F. M. Swinnen & Jill McCluskey & Nathalie Francken, 2005. "Food safety, the media, and the information market," Agricultural Economics, International Association of Agricultural Economists, vol. 32(s1), pages 175-188, January.
    3. Marti, Joachim, 2012. "A best–worst scaling survey of adolescents' level of concern for health and non-health consequences of smoking," Social Science & Medicine, Elsevier, vol. 75(1), pages 87-97.
    4. Dermot J. Hayes & Jason F. Shogren & Seung Youll Shin & James B. Kliebenstein, 1995. "Valuing Food Safety in Experimental Auction Markets," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 77(1), pages 40-53.
    5. Chris Fife‐Schaw & Gene Rowe, 1996. "Public Perceptions of Everyday Food Hazards: A Psychometric Study," Risk Analysis, John Wiley & Sons, vol. 16(4), pages 487-500, August.
    6. Michael Siegrist & Carmen Keller & Henk A. L. Kiers, 2005. "A New Look at the Psychometric Paradigm of Perception of Hazards," Risk Analysis, John Wiley & Sons, vol. 25(1), pages 211-222, February.
    7. Schroeder Ted C. & Tonsor Glynn T. & Pennings Joost M.E. & Mintert James, 2007. "Consumer Food Safety Risk Perceptions and Attitudes: Impacts on Beef Consumption across Countries," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 7(1), pages 1-29, December.
    8. Glynn T. Tonsor & Ted C. Schroeder & Joost M. E. Pennings, 2009. "Factors Impacting Food Safety Risk Perceptions," Journal of Agricultural Economics, Wiley Blackwell, vol. 60(3), pages 625-644, September.
    9. Claire Marris & Ian H. Langford & Timothy O'Riordan, 1998. "A Quantitative Test of the Cultural Theory of Risk Perceptions: Comparison with the Psychometric Paradigm," Risk Analysis, John Wiley & Sons, vol. 18(5), pages 635-647, October.
    10. Denzil G. Fiebig & Michael P. Keane & Jordan Louviere & Nada Wasi, 2010. "The Generalized Multinomial Logit Model: Accounting for Scale and Coefficient Heterogeneity," Marketing Science, INFORMS, vol. 29(3), pages 393-421, 05-06.
    11. 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.
    12. Bakhtavoryan, Rafael & Capps, Oral, Jr. & Salin, Victoria, 2014. "The Impact of Food Safety Incidents Across Brands: The Case of the Peter Pan Peanut Butter Recall," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 46(4), pages 1-14, November.
    13. Forsythe, Sandra M. & Shi, Bo, 2003. "Consumer patronage and risk perceptions in Internet shopping," Journal of Business Research, Elsevier, vol. 56(11), pages 867-875, November.
    14. Davis, Katrina J & Burton, Michael & Kragt, Marit E, 2016. "Discrete choice models: scale heterogeneity and why it matters," Working Papers 235373, University of Western Australia, School of Agricultural and Resource Economics.
    15. Unnevehr, Laurian J., 2000. "Food safety issues and fresh food product exports from LDCs," Agricultural Economics, Blackwell, vol. 23(3), pages 231-240, September.
    16. Julian Chuk‐ling Lai & Julia Tao, 2003. "Perception of Environmental Hazards in Hong Kong Chinese," Risk Analysis, John Wiley & Sons, vol. 23(4), pages 669-684, August.
    17. Lennart Sjöberg & Anders af Wåhlberg, 2002. "Risk Perception and New Age Beliefs," Risk Analysis, John Wiley & Sons, vol. 22(4), pages 751-764, August.
    18. Femke Hilverda & Margôt Kuttschreuter, 2018. "Online Information Sharing About Risks: The Case of Organic Food," Risk Analysis, John Wiley & Sons, vol. 38(9), pages 1904-1920, September.
    19. 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.
    20. Smith, Travis A. & Lin, Biing-Hwan & Huang, Chung L., 2008. "Organic Premiums of U.S. Fresh Produce," 2008 Conference, April 21-22, 2008, St. Louis, Missouri 37626, NCCC-134 Conference on Applied Commodity Price Analysis, Forecasting, and Market Risk Management.
    21. 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.
    22. Lin, Chung-Tung Jordan & Milon, J. Walter & Babb, Emerson M., 1991. "Determinates of Subjective Food Safety Perceptions," Journal of Agribusiness, Agricultural Economics Association of Georgia, vol. 9(1), pages 1-14.
    23. Lennart Sjöberg, 2000. "Factors in Risk Perception," Risk Analysis, John Wiley & Sons, vol. 20(1), pages 1-12, February.
    24. Mario Mazzocchi & Alexandra Lobb & W. Bruce Traill & Alessio Cavicchi, 2008. "Food Scares and Trust: A European Study," Journal of Agricultural Economics, Wiley Blackwell, vol. 59(1), pages 2-24, February.
    25. Taylor, Mykel R. & Tonsor, Glynn T., 2013. "Revealed Demand for Country-of-Origin Labeling of Meat in the United States," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 38(2), pages 1-13, August.
    26. Kenneth E. Train, 1998. "Recreation Demand Models with Taste Differences over People," Land Economics, University of Wisconsin Press, vol. 74(2), pages 230-239.
    27. Wongprawmas, Rungsaran & Canavari, Maurizio, 2017. "Consumers’ willingness-to-pay for food safety labels in an emerging market: The case of fresh produce in Thailand," Food Policy, Elsevier, vol. 69(C), pages 25-34.
    28. Kei Long Cheung & Ben F. M. Wijnen & Ilene L. Hollin & Ellen M. Janssen & John F. Bridges & Silvia M. A. A. Evers & Mickael Hiligsmann, 2016. "Using Best–Worst Scaling to Investigate Preferences in Health Care," PharmacoEconomics, Springer, vol. 34(12), pages 1195-1209, December.
    29. Pedro Bordalo & Nicola Gennaioli & Andrei Shleifer, 2012. "Salience Theory of Choice Under Risk," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 127(3), pages 1243-1285.
    30. Han Bleichrodt & Jose Luis Pinto & Peter P. Wakker, 2001. "Making Descriptive Use of Prospect Theory to Improve the Prescriptive Use of Expected Utility," Management Science, INFORMS, vol. 47(11), pages 1498-1514, November.
    31. Paul Sparks & Richard Shepherd, 1994. "Public Perceptions of the Potential Hazards Associated with Food Production and Food Consumption: An Empirical Study," Risk Analysis, John Wiley & Sons, vol. 14(5), pages 799-806, October.
    32. 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.
    33. Jordan Louviere & Terry Flynn, 2010. "Using Best-Worst Scaling Choice Experiments to Measure Public Perceptions and Preferences for Healthcare Reform in Australia," The Patient: Patient-Centered Outcomes Research, Springer;International Academy of Health Preference Research, vol. 3(4), pages 275-283, December.
    34. Young Sook Eom, 1994. "Pesticide Residue Risk and Food Safety Valuation: A Random Utility Approach," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 76(4), pages 760-771.
    35. McFadden, Jonathan R. & Huffman, Wallace E., 2017. "Consumer valuation of information about food safety achieved using biotechnology: Evidence from new potato products," Food Policy, Elsevier, vol. 69(C), pages 82-96.
    36. Alphonce, Roselyne & Alfnes, Frode & Sharma, Amit, 2014. "Consumer vs. citizen willingness to pay for restaurant food safety," Food Policy, Elsevier, vol. 49(P1), pages 160-166.
    37. Ramo Barrena & Mercedes Sánchez, 2010. "Differences in Consumer Abstraction Levels as a Function of Risk Perception," Journal of Agricultural Economics, Wiley Blackwell, vol. 61(1), pages 34-59, February.
    38. Frode Alfnes & Kyrre Rickertsen & Øydis Ueland, 2008. "Consumer attitudes toward low stake risk in food markets," Applied Economics, Taylor & Francis Journals, vol. 40(23), pages 3039-3049.
    39. Viscusi, W Kip, 1985. "Are Individuals Bayesian Decision Makers?," American Economic Review, American Economic Association, vol. 75(2), pages 381-385, May.
    40. Elke U. Weber & Richard A. Milliman, 1997. "Perceived Risk Attitudes: Relating Risk Perception to Risky Choice," Management Science, INFORMS, vol. 43(2), pages 123-144, February.
    41. Erdem, Seda & Rigby, Dan & Wossink, Ada, 2012. "Using best–worst scaling to explore perceptions of relative responsibility for ensuring food safety," Food Policy, Elsevier, vol. 37(6), pages 661-670.
    42. Penn, Jerrod & Hu, Wuyang, 2019. "Cheap talk efficacy under potential and actual Hypothetical Bias: A meta-analysis," Journal of Environmental Economics and Management, Elsevier, vol. 96(C), pages 22-35.
    43. Aven, Terje, 2016. "Risk assessment and risk management: Review of recent advances on their foundation," European Journal of Operational Research, Elsevier, vol. 253(1), pages 1-13.
    44. Gao, Zhifeng & House, Lisa & Bi, Xiang, 2016. "Impact of satisficing behavior in online surveys on consumer preference and welfare estimates," Food Policy, Elsevier, vol. 64(C), pages 26-36.
    45. 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.
    46. Hayes, Dermot J. & Kliebenstein, James & Shogren, Jason F. & Fox, John A., 1995. "Economics of Food Safety," Staff General Research Papers Archive 10453, Iowa State University, Department of Economics.
    47. Laurian J. Unnevehr, 2007. "Food safety as a global public good," Agricultural Economics, International Association of Agricultural Economists, vol. 37(s1), pages 149-158, December.
    48. Andrey A. Zaikin & Jill J. McCluskey, 2013. "Consumer preferences for new technology: apples enriched with antioxidant coatings in Uzbekistan," Agricultural Economics, International Association of Agricultural Economists, vol. 44(4-5), pages 513-521, July.
    49. 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.
    50. Peter Boxall & Wiktor Adamowicz, 2002. "Understanding Heterogeneous Preferences in Random Utility Models: A Latent Class Approach," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 23(4), pages 421-446, December.
    51. 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.
    52. Chavas, Jean-Paul, 2004. "Risk Analysis in Theory and Practice," Elsevier Monographs, Elsevier, edition 1, number 9780121706210.
    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. Oluwagbenga Akinwehinmi & Kolawole Ogundari & Taye Timothy Amos, 2022. "Consumers’ food control risk perception and preference for food safety certification in emerging food markets," Journal of Agricultural Economics, Wiley Blackwell, vol. 73(3), pages 690-708, September.
    2. Irz, Xavier & Mazzocchi, Mario & Réquillart, Vincent & Soler, Louis-Georges, 2015. "Research in Food Economics: past trends and new challenges," Revue d'Etudes en Agriculture et Environnement, Editions NecPlus, vol. 96(01), pages 187-237, March.
    3. Michael Siegrist & Joseph Árvai, 2020. "Risk Perception: Reflections on 40 Years of Research," Risk Analysis, John Wiley & Sons, vol. 40(S1), pages 2191-2206, November.
    4. Petrolia, Daniel R., 2016. "Risk preferences, risk perceptions, and risky food," Food Policy, Elsevier, vol. 64(C), pages 37-48.
    5. Glynn T. Tonsor & Ted C. Schroeder & Joost M. E. Pennings, 2009. "Factors Impacting Food Safety Risk Perceptions," Journal of Agricultural Economics, Wiley Blackwell, vol. 60(3), pages 625-644, September.
    6. Shimokawa, Satoru & Kito, Yayoi & Kudo, Haruyo & Yamaguchi, Michitoshi & Niiyama, Yoko, 2021. "Distinguishing Attitude and Belief Expressions from Economic Preferences in Long-Lasting Aversion in Food Choice," 2021 Conference, August 17-31, 2021, Virtual 315249, International Association of Agricultural Economists.
    7. Bocker, Andreas & Hanf, Claus-Hennig, 2000. "Confidence lost and -- partially -- regained: consumer response to food scares," Journal of Economic Behavior & Organization, Elsevier, vol. 43(4), pages 471-485, December.
    8. 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.
    9. Nicolás C. Bronfman & Luis Abdón Cifuentes & Michael L. deKay & Henry H. Willis, 2007. "Accounting for Variation in the Explanatory Power of the Psychometric Paradigm: The Effects of Aggregation and Focus," Journal of Risk Research, Taylor & Francis Journals, vol. 10(4), pages 527-554, June.
    10. Chloe S McCallum & Simone Cerroni & Daniel Derbyshire & W George Hutchinson & Rodolfo M Nayga, 2022. "Consumers’ responses to food fraud risks: an economic experiment," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 49(4), pages 942-969.
    11. Franklin Bailey Norwood & Glynn Tonsor & Jayson L Lusk, 2019. "I Will Give You My Vote but Not My Money: Preferences for Public versus Private Action in Addressing Social Issues," Applied Economic Perspectives and Policy, John Wiley & Sons, vol. 41(1), pages 96-132, March.
    12. Zhou, Li & Turvey, Calum & Hu, Wuyang & Ying, Ruiyao, 2015. "Fear and Trust: How Risk Perceptions of Avian Influenza Affect the Demand for Chicken," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 202077, Agricultural and Applied Economics Association.
    13. Yang, Ruoye & Raper, Kellie Curry & Lusk, Jayson L., 2020. "Impact of Hormone Use Perceptions on Consumer Meat Preferences," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 45(1), January.
    14. Henry H. Willis & Michael L. DeKay, 2007. "The Roles of Group Membership, Beliefs, and Norms in Ecological Risk Perception," Risk Analysis, John Wiley & Sons, vol. 27(5), pages 1365-1380, October.
    15. Shang, Xia & Tonsor, Glynn T., 2017. "Food safety recall effects across meat products and regions," Food Policy, Elsevier, vol. 69(C), pages 145-153.
    16. Erdem, Seda, 2018. "Who do UK consumers trust for information about nanotechnology?," Food Policy, Elsevier, vol. 77(C), pages 133-142.
    17. Zhou, Li & Turvey, Calum G. & Hu, Wuyang & Ying, Ruiyao, 2016. "Fear and trust: How risk perceptions of avian influenza affect Chinese consumers’ demand for chicken," China Economic Review, Elsevier, vol. 40(C), pages 91-104.
    18. Dmitriy Volinskiy & Wiktor L. Adamowicz & Michele Veeman & Lorie Srivastava, 2009. "Does Choice Context Affect the Results from Incentive‐Compatible Experiments? The Case of Non‐GM and Country‐of‐Origin Premia in Canola Oil," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 57(2), pages 205-221, June.
    19. Marco Costanigro & Yuko Onozaka, 2020. "A Belief‐Preference Model of Choice for Experience and Credence Goods," Journal of Agricultural Economics, Wiley Blackwell, vol. 71(1), pages 70-95, February.
    20. Ortega, David L. & Wang, H. Holly & Wu, Laping & Olynk, Nicole J., 2011. "Modeling heterogeneity in consumer preferences for select food safety attributes in China," Food Policy, Elsevier, vol. 36(2), pages 318-324, April.

    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:52:y:2021:i:6:p:927-943. 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.