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Scales or Stars? Consumer Preferences for Food Quality Signals

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  • Shang, Wenjing
  • Hooker, Neal H.

Abstract

Food quality has become an increasing concern in the public health arena over recent years. Food manufactures and processors hygiene performance plays a crucial part in producing safer food products. While there are inspections assessing plants' hygiene performance, there is little direct communication of performance measures to consumers. This paper uses survey data to determine consumer preferences among a set of four alternative food labels which report such plant level performance scores. How much information, as well as the format they most prefer, is compared using a range of econometric models. Results show that consumers prefer number scheme, larger volume of quality information and are generally consistent with their preference. These findings are mostly continuous across different types of consumers.

Suggested Citation

  • Shang, Wenjing & Hooker, Neal H., 2006. "Scales or Stars? Consumer Preferences for Food Quality Signals," 2006 Annual meeting, July 23-26, Long Beach, CA 21237, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
  • Handle: RePEc:ags:aaea06:21237
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    File URL: http://purl.umn.edu/21237
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    References listed on IDEAS

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    1. Painton, Scott & Gentry, James W, 1985. " Another Look at the Impact of Information Presentation Format," Journal of Consumer Research, Oxford University Press, vol. 12(2), pages 240-244, September.
    2. Park, Jong-Won & Hastak, Manoj, 1994. " Memory-Based Product Judgments: Effects of Involvement at Encoding and Retrieval," Journal of Consumer Research, Oxford University Press, vol. 21(3), pages 534-547, December.
    3. Hooker, Neal H. & Teratanavat, Ratapol P. & Salin, Victoria, 2005. "Crisis management effectiveness indicators for US meat and poultry recalls," Food Policy, Elsevier, vol. 30(1), pages 63-80, February.
    4. Ariely, Dan, 2000. " Controlling the Information Flow: Effects on Consumers' Decision Making and Preferences," Journal of Consumer Research, Oxford University Press, vol. 27(2), pages 233-248, September.
    5. Julie A. Caswell & Jaana K. Kleinschmit v. L., 1997. "Using Benefit-Cost Criteria for Settling Federalism Disputes: An Application to Food Safety Regulation," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 79(1), pages 24-38.
    6. Diehl, Kristin & Kornish, Laura J & Lynch, John G, Jr, 2003. " Smart Agents: When Lower Search Costs for Quality Information Increase Price Sensitivity," Journal of Consumer Research, Oxford University Press, vol. 30(1), pages 56-71, June.
    7. Kahneman, Daniel & Tversky, Amos, 1979. "Prospect Theory: An Analysis of Decision under Risk," Econometrica, Econometric Society, vol. 47(2), pages 263-291, March.
    8. Tsiros, Michael & Mittal, Vikas, 2000. " Regret: A Model of Its Antecedents and Consequences in Consumer Decision Making," Journal of Consumer Research, Oxford University Press, vol. 26(4), pages 401-417, March.
    9. Ahluwalia, Rohini, 2000. " Examination of Psychological Processes Underlying Resistance to Persuasion," Journal of Consumer Research, Oxford University Press, vol. 27(2), pages 217-232, September.
    10. Alba, Joseph W & Hutchinson, J Wesley, 2000. " Knowledge Calibration: What Consumers Know and What They Think They Know," Journal of Consumer Research, Oxford University Press, vol. 27(2), pages 123-156, September.
    11. Lurie, Nicholas H, 2004. " Decision Making in Information-Rich Environments: The Role of Information Structure," Journal of Consumer Research, Oxford University Press, vol. 30(4), pages 473-486, March.
    12. Chernev, Alexander, 2003. " When More Is Less and Less Is More: The Role of Ideal Point Availability and Assortment in Consumer Choice," Journal of Consumer Research, Oxford University Press, vol. 30(2), pages 170-183, September.
    13. Janiszewski, Chris & Silk, Tim & Cooke, Alan D J, 2003. " Different Scales for Different Frames: The Role of Subjective Scales and Experience in Explaining Attribute-Framing Effects," Journal of Consumer Research, Oxford University Press, vol. 30(3), pages 311-325, December.
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    Keywords

    Consumer/Household Economics;

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