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The role of consumer knowledge, experience,and heterogeneity in fish consumption: Policy lessons from Japan

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  • Kitano, Shinichi
  • Yamamoto, Naotoshi

Abstract

Fish supply worldwide has increased significantly in recent decades, driven by the growing demand for food in developing economies, especially Asia. Many developed countries, including Japan, have implemented health policies that promote fish consumption. Despite efforts to encourage consumers to purchase fish, Japan has not achieved satisfactory results due to competition from cheap livestock products. The purpose of this study is to understand how consumers compare fish to other protein sources and how different consumer attributes influence the purchase frequency of fish. We used factor analysis to create a perceptual map of consumers' evaluations concerning protein sources, and a Bayesian hierarchical model incorporating individual heterogeneity to model purchase frequency. Our results show that Japanese consumers place great importance on availability when evaluating protein sources, and that fish is considered less available than other livestock products. In addition, Japanese consumers still prefer wild fish to farmed fish in terms of quality. Individual consumer attributes, such as age, household structure, and eating habits, were found to influence the decision to purchase fish. Consumers’ first-hand fish-related experience is found to be an important determinant of fish consumption. However, the effect of their knowledge identified in the conventional model was not detected in the Bayesian model. These results suggest that experiences allowing consumers to feel closer to fish are more effective than exposure to excessive information campaigns. Using lessons from Japan, this research could aid policymakers and suppliers of fish products to fashion appropriate and effective strategies for encouraging greater fish consumption.

Suggested Citation

  • Kitano, Shinichi & Yamamoto, Naotoshi, 2020. "The role of consumer knowledge, experience,and heterogeneity in fish consumption: Policy lessons from Japan," Journal of Retailing and Consumer Services, Elsevier, vol. 56(C).
  • Handle: RePEc:eee:joreco:v:56:y:2020:i:c:s0969698919315802
    DOI: 10.1016/j.jretconser.2020.102151
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    1. Hadfield, Jarrod D., 2010. "MCMC Methods for Multi-Response Generalized Linear Mixed Models: The MCMCglmm R Package," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 33(i02).
    2. John Horn, 1965. "A rationale and test for the number of factors in factor analysis," Psychometrika, Springer;The Psychometric Society, vol. 30(2), pages 179-185, June.
    3. George A. Akerlof, 1970. "The Market for "Lemons": Quality Uncertainty and the Market Mechanism," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 84(3), pages 488-500.
    4. Herrmann, Robert O. & Rauniyar, Ganesh P. & Hanson, Gregory D. & Wang, Guoquing, 1994. "Identifying Frequent Seafood Purchasers In The Northeastern U.S," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 23(2), pages 1-10, October.
    5. Xiang Bi & Lisa House & Zhifeng Gao, 2016. "Impacts of Nutrition Information on Choices of Fresh Seafood Among Parents," Marine Resource Economics, University of Chicago Press, vol. 31(3), pages 355-372.
    6. Cameron, A. Colin & Trivedi, Pravin K., 1990. "Regression-based tests for overdispersion in the Poisson model," Journal of Econometrics, Elsevier, vol. 46(3), pages 347-364, December.
    7. Laura Cornelsen & Rosemary Green & Rachel Turner & Alan D. Dangour & Bhavani Shankar & Mario Mazzocchi & Richard D. Smith, 2015. "What Happens to Patterns of Food Consumption when Food Prices Change? Evidence from A Systematic Review and Meta‐Analysis of Food Price Elasticities Globally," Health Economics, John Wiley & Sons, Ltd., vol. 24(12), pages 1548-1559, December.
    8. Julie A. Caswell & Daniel I. Padberg, 1992. "Toward a More Comprehensive Theory of Food Labels," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 74(2), pages 460-468.
    9. Allenby, Greg M. & Rossi, Peter E., 1998. "Marketing models of consumer heterogeneity," Journal of Econometrics, Elsevier, vol. 89(1-2), pages 57-78, November.
    10. Herrmann, Robert O. & Rauniyar, Ganesh P. & Hanson, Gregory D. & Wang, Guoquing, 1994. "Identifying Frequent Seafood Purchasers in the Northeastern U.S," Agricultural and Resource Economics Review, Cambridge University Press, vol. 23(2), pages 226-235, October.
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    2. Kitano, Shinichi & Mitsunari, Yuka & Yoshino, Akira, 2022. "The impact of information asymmetry on animal welfare-friendly consumption: Evidence from milk market in Japan," Ecological Economics, Elsevier, vol. 191(C).
    3. Kitano, Shinichi & Yamamoto, Naotoshi, 2021. "Prosocial fish consumption and implications for labeling policy," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 90(C).
    4. Goh, Choon Fu & Long, Chiau Ming & Humaira Fedelis, Nur Aisyah & Hamdan, Halimaton & Chuah, Soo Cheng & Yeo, Sook Fern & Tan, Cheng Ling & Wong, Tin Wui, 2023. "Critical insights of nano-based pharmaceutical, cosmeceutical and nutraceutical products: Empirical evidence from the consumption values perspective," Journal of Retailing and Consumer Services, Elsevier, vol. 72(C).
    5. Jiayi Liu & Zhikai Peng & Xiaoxi Cai & You Peng & Jiang Li & Tao Feng, 2021. "Students’ Intention of Visiting Urban Green Spaces after the COVID-19 Lockdown in China," IJERPH, MDPI, vol. 18(16), pages 1-17, August.
    6. Chinchanachokchai, Sydney & Thontirawong, Pipat & Chinchanachokchai, Punjaporn, 2021. "A tale of two recommender systems: The moderating role of consumer expertise on artificial intelligence based product recommendations," Journal of Retailing and Consumer Services, Elsevier, vol. 61(C).

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