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Does Food Safety Information Affect Consumers' Decision to Purchase Mean and Poultry? Evidence from U.S. Household Level Data

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  • Mykel R. Taylor

    (School of Economic Sciences, Washington State University)

Abstract

Many factors influence consumer purchasing habits, including food safety information. Concerns about food safety can be influenced by both idiosyncratic experiences and general media information. This study focuses on the reaction of consumers to changes in the amount of beef, pork, and poultry food safety information available in the media. A multinomial logit model is estimated to assess the probability that heterogeneous households avoid making purchases in response to changes in food safety information. Results of the model suggest that certain households respond to changes in the level of information available by choosing to avoid purchasing meat or poultry.

Suggested Citation

  • Mykel R. Taylor, 2009. "Does Food Safety Information Affect Consumers' Decision to Purchase Mean and Poultry? Evidence from U.S. Household Level Data," Working Papers 2009-11, School of Economic Sciences, Washington State University.
    • Handle: RePEc:wsu:wpaper:mtaylor-1
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    File URL: http://www.ses.wsu.edu/PDFFiles/WorkingPapers/
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    References listed on IDEAS

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    1. Shimshack, Jay P. & Ward, Michael B. & Beatty, Timothy K.M., 2007. "Mercury advisories: Information, education, and fish consumption," Journal of Environmental Economics and Management, Elsevier, vol. 53(2), pages 158-179, March.
    2. Moeltner K. & Englin J., 2004. "Choice Behavior Under Time-Variant Quality: State Dependence Versus," Journal of Business & Economic Statistics, American Statistical Association, vol. 22, pages 214-224, April.
    3. Wolfram Schlenker & Sofia B. Villas-Boas, 2009. "Consumer and Market Responses to Mad Cow Disease," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 91(4), pages 1140-1152.
    4. Wolfram Schlenker & Sofia B. Villas-Boas, 2009. "Consumer and Market Responses to Mad Cow Disease," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 91(4), pages 1140-1152.
    5. Thomas L. Cox & Michael K. Wohlgenant, 1986. "Prices and Quality Effects in Cross-Sectional Demand Analysis," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 68(4), pages 908-919.
    6. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521747387.
    7. Nicholas E. Piggott & Thomas L. Marsh, 2004. "Does Food Safety Information Impact U.S. Meat Demand?," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 86(1), pages 154-174.
    8. Mark E. Smith & Eileen O. van Ravenswaay & Stanley R. Thompson, 1988. "Sales Loss Determination in Food Contamination Incidents: An Application to Milk Bans in Hawaii," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 70(3), pages 513-520.
    9. Roger A. Dahlgran & Dean G. Fairchild, 2002. "The demand impacts of chicken contamination publicity-a case study," Agribusiness, John Wiley & Sons, Ltd., vol. 18(4), pages 459-474.
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    Cited by:

    1. Lopez, Jose Antonio & Malaga, Jaime E. & Chidmi, Benaissa & Belasco, Eric J. & Surles, James, 2012. "Mexican Meat Demand at the Table Cut Level: Estimating a Censored Demand System in a Complex Survey," Journal of Food Distribution Research, Food Distribution Research Society, vol. 43(2), pages 1-27.
    2. Lopez, Jose Antonio, 2014. "Imputation Methods And Approaches:An Analysis Of Protein Sources In The Mexican Diet," International Journal of Food and Agricultural Economics (IJFAEC), Alanya Alaaddin Keykubat University, Department of Economics and Finance, vol. 2(2), pages 1-20, April.
    3. Lopez, Jose Antonio & Malaga, Jaime E., 2009. "Estimation of a Censored Demand System in Stratified Sampling: An Analysis of Mexican Meat Demand at the Table Cut Level," 2009 Annual Meeting, January 31-February 3, 2009, Atlanta, Georgia 46294, Southern Agricultural Economics Association.
    4. Lopez, Jose Antonio & Malaga, Jaime E., 2009. "Forecast and Simulation Analysis of Mexican Meat Consumption at the Table Cut Level: Impacts on U.S. Exports," 2009 Annual Meeting, July 26-28, 2009, Milwaukee, Wisconsin 51986, Agricultural and Applied Economics Association.

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    More about this item

    Keywords

    food safety; multinomial logit; consumer demand; meat and poultry;
    All these keywords.

    JEL classification:

    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis

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