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Factors Influencing the Knowledge Level of Fish Consumers: An Explanatory Analysis

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  • Vinaya Kumar Hebsale Mallappa

    (Agricultural Extension, AHRS, Sringeri, Keladi Shivappa Nayaka University of Agricultural and Horticultural Sciences, Yebbodi 577139, Karnataka, India
    ICAR-NAHEP (CAAST), Anand Agricultural University, Anand 388110, Gujarat, India)

  • Shakti Ranjan Panigrahy

    (ICAR-NAHEP (CAAST), Anand Agricultural University, Anand 388110, Gujarat, India)

  • Archit Kumar Nayak

    (ICAR-NAHEP (CAAST), Anand Agricultural University, Anand 388110, Gujarat, India)

  • Rambirsingh Pundir

    (ICAR-NAHEP (CAAST), Anand Agricultural University, Anand 388110, Gujarat, India)

  • Prity Kumari

    (ICAR-NAHEP (CAAST), Anand Agricultural University, Anand 388110, Gujarat, India)

Abstract

Despite scientific proof of the benefits and effects of fish consumption on human health, most Indians consume less than the recommended dietary amounts. The current study attempted to assess the knowledge gap of fish eaters regarding the health and nutritional benefits, along with identifying the factors that directly and indirectly influence the knowledge level of fish consumers. The fish eaters were surveyed during the F.Y. 2021–2022 with representative samples of 934 fish consumers from across ten districts of the Gujarat state in western India. Fish consumers were found to have insufficient knowledge about health and nutritional benefits, which stalled the growth of fish consumption in the region. The significant factors influencing the knowledge level of fish consumers were education qualification, fish quality evaluation criteria, number of children in a family, years of fish consumption and family size. The consumers were found to place greater emphasis on the fish quality evaluation parameters such as smell, appearance, nutritional value, product price and freshness. The study’s outcomes suggested that mass awareness programs should be planned to achieve higher levels of fish consumption in the region and the country.

Suggested Citation

  • Vinaya Kumar Hebsale Mallappa & Shakti Ranjan Panigrahy & Archit Kumar Nayak & Rambirsingh Pundir & Prity Kumari, 2023. "Factors Influencing the Knowledge Level of Fish Consumers: An Explanatory Analysis," Sustainability, MDPI, vol. 15(13), pages 1-16, June.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:13:p:10183-:d:1180516
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    References listed on IDEAS

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    1. Jay P. Carlson & Leslie H. Vincent & David M. Hardesty & William O. Bearden, 2009. "Objective and Subjective Knowledge Relationships: A Quantitative Analysis of Consumer Research Findings," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 35(5), pages 864-876, October.
    2. Yen, Steven T. & Lin, Biing-Hwan & Davis, Christopher G., 2008. "Consumer knowledge and meat consumption at home and away from home," Food Policy, Elsevier, vol. 33(6), pages 631-639, December.
    3. Alba, Joseph W & Hutchinson, J Wesley, 2000. "Knowledge Calibration: What Consumers Know and What They Think They Know," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 27(2), pages 123-156, September.
    4. Wim Verbeke, 2005. "Agriculture and the food industry in the information age," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 32(3), pages 347-368, September.
    5. Joanna Burger & Warren L. Stephens & C. Shane Boring & Michelle Kuklinski & J. Whitfield Gibbons & Michael Gochfeld, 1999. "Factors in Exposure Assessment: Ethnic and Socioeconomic Differences in Fishing and Consumption of Fish Caught along the Savannah River," Risk Analysis, John Wiley & Sons, vol. 19(3), pages 427-438, June.
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