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Consumer Preferences for Delacata Catfish: A Choice Experiment with Tasting

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  • Perolia, Daniel R.
  • Collart, Alba J.
  • Yehouenou, Lauriane

Abstract

This article investigates consumer preferences for Delacata catfish, a relatively new fillet of grade-A catfish, by conducting in-person choice experiments with tasting sessions. Panels were held at three white-tablecloth restaurants across the United States, featuring sample entrées of Delacata catfish along with sample entrées of other species of mild-tasting, white-fleshed fish. Results suggest that Delacata catfish may fare well in terms of search and experience attributes such as taste and texture, across all locations, but may face labeling challenges in certain locations. This study provides willingness-to-pay estimates and discusses possible marketing strategies to further increase market potential for the US fish industry.

Suggested Citation

  • Perolia, Daniel R. & Collart, Alba J. & Yehouenou, Lauriane, 2016. "Consumer Preferences for Delacata Catfish: A Choice Experiment with Tasting," Journal of Food Distribution Research, Food Distribution Research Society, vol. 47(3), pages 1-17, November.
    • Handle: RePEc:ags:jlofdr:250001
    DOI: 10.22004/ag.econ.250001
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    References listed on IDEAS

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    1. Drammeh, Lamin & House, Lisa & Sureshwaran, Suresh & Selassie, Haile, 2002. "Analysis Of Factors Influencing The Frequency Of Catfish Consumption In The United States," 2002 Annual meeting, July 28-31, Long Beach, CA 19584, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    2. Potoglou, Dimitris & Burge, Peter & Flynn, Terry & Netten, Ann & Malley, Juliette & Forder, Julien & Brazier, John E., 2011. "Best-worst scaling vs. discrete choice experiments: An empirical comparison using social care data," Social Science & Medicine, Elsevier, vol. 72(10), pages 1717-1727, May.
    3. Flynn, Terry N. & Louviere, Jordan J. & Peters, Tim J. & Coast, Joanna, 2007. "Best-worst scaling: What it can do for health care research and how to do it," Journal of Health Economics, Elsevier, vol. 26(1), pages 171-189, January.
    4. Bliemer, Michiel C.J. & Rose, John M., 2013. "Confidence intervals of willingness-to-pay for random coefficient logit models," Transportation Research Part B: Methodological, Elsevier, vol. 58(C), pages 199-214.
    5. T.N. Flynn & A.A.J. Marley, 2014. "Best-worst scaling: theory and methods," Chapters, in: Stephane Hess & Andrew Daly (ed.), Handbook of Choice Modelling, chapter 8, pages 178-201, Edward Elgar Publishing.
    6. Office of Health Economics, 2007. "The Economics of Health Care," For School 001490, Office of Health Economics.
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