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Factors Affecting Consumer Purchasing Decisions and Willingness to Pay for Oysters in South Carolina

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  • Richards, Steven
  • Vassalos, Michael
  • Motallebi, Marzieh

Abstract

South Carolina oyster producers are looking to expand into other sales channels and need more marketing data to support their efforts. A survey in the South Carolina marketing area (n = 1210) indicates that South Carolina oyster consumers tend to be younger, Caucasian, live in coastal counties, have higher household incomes, and prefer eating oysters at restaurants. Consumers willing to pay higher prices for oysters to eat at home tend to be younger, female, have higher household incomes, and are not Caucasian. Availability, price, and food safety concerns were the top three reasons preventing consumers from buying more oysters at restaurants.

Suggested Citation

  • Richards, Steven & Vassalos, Michael & Motallebi, Marzieh, 2022. "Factors Affecting Consumer Purchasing Decisions and Willingness to Pay for Oysters in South Carolina," Journal of Food Distribution Research, Food Distribution Research Society, vol. 53(2), July.
    • Handle: RePEc:ags:jlofdr:339684
    DOI: 10.22004/ag.econ.339684
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    References listed on IDEAS

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    1. Yen, Steven T. & Huang, Chung L., 1996. "Household Demand For Finfish: A Generalized Double-Hurdle Model," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 21(2), pages 1-15, December.
    2. Kecinski, Maik & Messer, Kent D. & Knapp, Lauren & Shirazi, Yosef, 2017. "Consumer Preferences for Oyster Attributes: Field Experiments on Brand, Locality, and Growing Method," Agricultural and Resource Economics Review, Cambridge University Press, vol. 46(2), pages 315-337, August.
    3. Gervaise Debucquet & Josiane Cornet & Isabelle Adam & Mireille Cardinal, 2012. "Perception of oyster-based products by French consumers: the effect of processing and role of social representations," Post-Print hal-00956940, HAL.
    4. Manalo, Alberto B. & Gempesaw, Conrado M., II, 1997. "Preferences For Oyster Attributes By Consumers In The U.S. Northeast," Journal of Food Distribution Research, Food Distribution Research Society, vol. 28(2), pages 1-9, July.
    5. Domenico Carlucci & Biagia De Devitiis & Gianluca Nardone & Fabio Gaetano Santeramo, 2017. "Certification Labels Versus Convenience Formats: What Drives the Market in Aquaculture Products?," Marine Resource Economics, University of Chicago Press, vol. 32(3), pages 295-310.
    6. C.-T Jordan Lin & J. Walter Milon, 1993. "Attribute and Safety Perceptions in a Double-Hurdle Model of Shellfish Consumption," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 75(3), pages 724-729.
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