Hostname: page-component-77c89778f8-vpsfw Total loading time: 0 Render date: 2024-07-20T04:17:00.609Z Has data issue: false hasContentIssue false

Which Consumers Are Most Responsive to Media-Induced Food Scares?

Published online by Cambridge University Press:  15 September 2016

Collin R. Payne
Affiliation:
Marketing at New Mexico State University in Las Cruces, New Mexico
Kent D. Messer
Affiliation:
Food and Resource Economics at University of Delaware in Newark, Delaware
Harry M. Kaiser
Affiliation:
Applied Economics and Management in the Department of Applied Economics and Management at Cornell University in Ithaca, New York
Get access

Abstract

In understanding decreases in demand after exposure to media-induced food scares, aggregate data are almost exclusively presented without taking into consideration potential confounding variables. However, a better approach may be to use an experimental design coupled with targeting homogeneous willingness-to-pay (WTP) subgroups based on similarities in behavioral, psychological, and demographic characteristics of those who are most vulnerable to food scare information. This is accomplished through experimental economics and an analysis strategy called a classification and regression tree (CART). A stigma framework—which guides conceptual understanding of effects of media-induced food scares—suggests controlling contextual variables to better approximate ceteris paribus. To this end, we conducted an experiment that exposed people to information about mad cow disease and then asked them to bid their willingness-to-pay for an actual hamburger. The CART found distinct homogeneous WTP subgroups of individuals that could be used by government and industry professionals to create interventions to reduce potential consumer concern and producer losses.

Type
Contributed Papers
Copyright
Copyright © 2009 Northeastern Agricultural and Resource Economics Association 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Aaker, J.L., and Lee, A.Y. 2001. ‘“I’ Seek Pleasures and “We” Avoid Pains: The Role of Self-regulatory Goals in Information Processing and Persuasion.” Journal of Consumer Research 28(1): 33–19.Google Scholar
Angulo, A.M., and Gil, J.M. 2007. “Risk Perception and Consumer Willingness to Pay for Certified Beef in Spain.Food Quality and Preference 18(8): 11061117.Google Scholar
Assael, H. 1970. “Segmenting Markets by Group Purchasing Behavior: An Application of the AID technique.Journal of Marketing Research 7(2): 153158.Google Scholar
Atkins, P. 2008. “Fear of Animal Foods: A Century of Zoonotics.Appetite 51(1): 1821.Google Scholar
Bass, F.M., Tigert, D.J., Lonsdale, R.T. 1968. “Market Segmentation: Group versus Individual Behavior,” Journal of Marketing Research 5(3): 264270.Google Scholar
Becker, G.M., DeGroot, M.H., and Marschak, J. 1964. “Measuring Utility by a Single-Response Sequential Method.Behavioral Science 9(3): 226232.Google Scholar
Berg, L. 2004. “Trust in Food in the Age of Mad Cow Disease: A Comparative Study of Consumers’ Evaluation of Food Safety in Belgium, Britain and Norway.Appetite 42(1): 2132.Google Scholar
Breiman, L., Friedman, J., Stone, C.J., and Olshen, R.A. 1984. Classification and Regression Trees. Belmont CA: Wadsworth International.Google Scholar
Brown, J., Cranfield, J.A.L., and Henson, S. 2005. “Relating Consumer Willingness-to-Pay for Food Safety to Risk Tolerance: An Experimental Approach.Canadian Journal of Agricultural Economics 53(2): 249263.Google Scholar
Brown, J., Cranfield, J.A.L., and Henson, S. 2003. “Misassessed Risk in Consumer Valuation of Food Safety: An Experimental Approach.” Paper presentented at American Agricultural Economics Association Annual Meeting.Google Scholar
Cohen, J. 1988. Statistical Power Analysis for the Behavioral Science (2nd edition). Hillsdale NJ: Erlbaum. Google Scholar
Collins, K. 2005. “Economic Consequences of BSE for the North American Cattle and Beef Industries.” USDA Fact Sheet. Available online at www.usda.gov/documents/factsheetKeithCollins.pdf (Accessed January 2009).Google Scholar
Corneille, O., Yzerbyt, V.Y., Rogier, A., and Buidin, G. 2001. “Threat and the Group Attribution Error: When Threat Elicits Judgments of Extremity and Homogeneity. Personality and Social Psychology Bulletin 27(4): 437446.Google Scholar
Cuite, C.L., Condry, S.C., Nucci, M.L., and Hallman, W.K. 2007. “Public Response to the Contaminated Spinach Recall of 2006.Rutgers University Food Policy Institute. Available at http://www.foodpolicyinstitute.org/docs/pubs/2007 (accessed February 2009).Google Scholar
de Jonge, J., van Trijp, H., Renes, R.J., and Frewer, L. 2007. “Understanding Consumer Confidence in the Safety of Food: Its Two-Dimensional Structure and Determinants.Risk Analysis 27(3): 729740.Google Scholar
Dosman, D.M., Adamowicz, W.L., and Hrudey, S.E. 2001. “Socioeconomic Determinants of Health-and Food Safety-Related Risk Perceptions.Risk Analysis 21(2): 307317.Google Scholar
English, B.C., Menard, J., and Jensen, K. 2004. Projected Economic Impacts of a Bovine Spongiform Encephalopathy (BSE) Outbreak in Tennessee. The University of Tennessee Department of Agricultural Economics, Agri-Industry Modeling and Analysis Group. Available at http://aimag.ag.utk.edu/pubs/BSE.pdf (accessed February 2009).Google Scholar
Fawcett, T. 2006. “An Introduction to ROC Analysis.Pattern Recognition Letters 27(8): 861874.Google Scholar
Fielding, A.H. 2007. Cluster and Classification Techniques for the Biosciences. New York: Cambridge University Press.Google Scholar
Fox, J.A., Hayes, D.J., Shogren, J.F., and Kliebenstein, J.B. 1995. “Experimental Auctions to Measure Willingness to Pay for Food Safety.” In Caswell, J.A., ed., Valuing Food Safety and Nutrition. Boulder: Westview Press.Google Scholar
Herrmann, R.O., Warland, R.H., and Sterngold, A. 1998. “Who Reacts to Food Safety Scares? Examining the Alar Crisis.Agribusiness 13(5): 511520.Google Scholar
Hoffman, D.L., and Novak, T.P. 1996. “Marketing in Hypermedia Computer-mediated Environments: Conceptual Foundations.Journal of Marketing 60(3): 5068.Google Scholar
Irwin, J.R., McClelland, G.H., McKee, M., Schulze, W.D., and Norden, N.E. 1998. “Payoff Dominance vs. Cognitive Transparency in Decision Making.Economic Inquiry 36(2): 272285.Google Scholar
Kanter, C., Messer, K.D., and Kaiser, H.M. 2009. “Does Production Labeling Stigmatize Conventional Milk.American Journal of Agricultural Economics 91(4): 10971109.Google Scholar
Kerr, W.A. 2003. “The Free-traders Win the Debates but the Protectionists Win the Elections.” In Proceedings of the Ninth Agricultural and Food Policy Tensions under NAFTA Policy Disputes Information Consortium. Available at http://pdic.tamu.edu/farmpolicy/kerr.pdf.Google Scholar
Kuttschreuter, M. 2006. “Psychological Determinants of Reactions to Food Risk Messages.Risk Analysis 26(4): 10451057.Google Scholar
Lemon, S.C., Roy, J., Clark, M.A., Friedman, P.D., and Rakowski, W. 2003. “Classification and Regression Tree Analysis in Public Health: Methodological Review and Comparison with Logistic Regression.Annals of Behavioral Medicine 26(3): 172181.Google Scholar
Lobb, A.E., Mazzocchi, M., and Traill, W.B. 2007. “Modelling Risk Perception and Trust in Food Safety Information with the Theory of Planned Behavior.Food Quality and Preference 18(2): 384395.Google Scholar
Lusk, J.L., Daniel, M.S., Mark, D.R., and Lusk, C.L. 2001. “Alternative Calibration and Auction Institutions for Predicting Consumer Willingness to Pay for Nongenetically Modified Corn Chips.Journal of Agricultural and Resource Economics 26(1): 4057.Google Scholar
Martin, A. 2009. “To Fill Safety Gap, Processors Pay Inspectors.The New York Times, April 17.Google Scholar
McCarthy, M., and Henson, S. 2005. “Perceived Risk and Risk Reduction Strategies in the Choice of Beef by Irish Consumers.Food Quality and Preference 16(5): 435445.Google Scholar
McCarthy, Μ., Brennan, M., Kelly, A.L., Ritson, C., de Boer, M., and Thompson, N. 2007. “Who is at Risk and What do They Know? Segmenting a Population on their Food Safety Knowledge.Food Quality and Preference 18(2): 205217.Google Scholar
Messer, K.D., Kaiser, H.M., Payne, C.R., and Wansink, B. Forthcoming. “Advertising Inoculation of Food Safety Scares: Can Advertising Alleviate Consumer Concerns About Mad Cow Disease?Applied Economics.Google Scholar
Messer, K.D., Kaiser, H.M., and Schulze, W.D. 2008. “The Problem of Free Riding in Voluntary Generic Advertising: Parallelism and Possible Solutions from the Lab.American Journal of Agricultural Economics 90(2): 540552.Google Scholar
Miles, S., and Frewer, L.J. 2001. “Investigating Specific Concerns about Different Food Hazards.Food Quality and Preference 12(1): 4761.Google Scholar
Noussair, C., Robin, S., and Ruffleux, B. 2004. “Do Consumers Really Refuse to Buy Genetically Modified Food?The Economic Journal 114(492): 102120.Google Scholar
Pennings, J.M.E., Wansink, B., and Meulenberg, M.T.G. 2002. “A Note on Modeling Consumer Reactions to a Crisis: The Case of the Mad Cow Disease.International Journal of Research in Marketing 19(1): 91100.Google Scholar
Rozin, P. 2004. “Technological Stigma: Some Perspectives from the Study of Contagion.” In Slovic, F. P., and Kunreuther, H., eds., Risk, Media, and Stigma: Understanding Public Challenges to Modern Science and Technology. Sterling VA: Earthscan Publication Ltd.Google Scholar
Scholliers, P. 2008. “Defining Food Risks and Food Anxieties throughout History.Appetite 51(1): 36.Google Scholar
Setbon, M., Raude, J., Fischler, C., and Flahault, A. 2005. “Risk Perception of the ‘Mad Cow Disease’ in France: Determinants and Consequences.Risk Analysis 25(4): 813826.Google ScholarPubMed
Shogren, J.F., Fox, J.A., Hayes, D.J., and Roosen, J. 1999. “Observed Choices for Food Safety in Retail, Survey, and Auction Markets.American Journal of Agricultural Economics 81(5): 11921199.Google Scholar
SPSS. 2001. Answer Tree 3.0: User's Guide. Chicago: SPSS Inc.Google Scholar
Terrangni, L. 2006. “A Country that Never Had a BSE Crisis: Consensus and Tensions in Transforming the Norwegian Food System.Appetite 47(2): 170176.Google Scholar
Verbeke, W. 2001. “Beliefs, Attitude and Behaviour Towards Fresh Meat Revisited After the Belgian Dioxin Crisis.Food Quality and Preference 12(8): 489498.Google Scholar
van Dijk, H., Houghton, J., van Kleef, E., van der Lans, I., Rowe, G., and Frewer, L.J. 2008. “Consumer Responses to Communication About Food Risk Management.Appetite 50(2-3): 340352.Google Scholar
van Kleef, E., Frewer, L.J., Chryssochoidis, G.M., Houghton, J.R., Korzen-Bohr, S., Krystallis, T., Lassen, J., Pfenning, U., and Rowe, G. 2006. “Perceptions of Food Risk Management among Key Stakeholders: Results from a Cross-European Study.Appetite 47(1): 4663.Google Scholar
Wales, C., Harvey, M., and Warde, A. 2006. “Recuperating from BSE: The Shifting UK Institutional Basis for Trust in Food.Appetite 47(2): 187195.Google Scholar
Wansink, B. 2004. “Consumer Reactions to Food Safety Crises.Advances in Food and Nutrition Research 48: 103150.Google Scholar
Witte, K., and Allen, M. 2000. “A Meta-analysis of Fear Appeals: Implications for Effective Public Health Campaigns.Health Education and Behavior 27(5): 591615.Google Scholar