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Consumer Preference for Fisheries Improvement Project: Case of Bigeye Tuna in Japan

Author

Listed:
  • Hiroki Wakamatsu

    (Policy Research Institute, Ministry of Agriculture, Forestry and Fisheries, 3-1-1, Kasumigaseki, Chiyoda, Tokyo 100-0013, Japan)

  • Yuki Maruyama

    (Policy Research Institute, Ministry of Agriculture, Forestry and Fisheries, 3-1-1, Kasumigaseki, Chiyoda, Tokyo 100-0013, Japan)

Abstract

In recent years, demand for sustainable fisheries certification, also known as seafood ecolabeling, has grown worldwide, with retailers actively promoting ecolabeled seafood, mainly in Europe and the United States. However, the costs associated with assessment and maintenance are typically incurred before certification, and the potential benefits are uncertain, which deters many fisheries from entering the certification process. The Fishery Improvement Project (FIP) is a market-driven mechanism that allows a fishery to gain recognition for its sustainable management efforts aimed at achieving sustainable certification. Market differentiation of FIP-participating fisheries from conventional fisheries has the potential to generate additional benefits that may offset some of the certification costs. However, successful differentiation efforts require consumer awareness, willingness to pay a premium, and effective communication strategies. This study investigates consumer preferences for bigeye tuna sashimi in Japan using a discrete choice experiment to determine if Japanese consumers are willing to pay a price premium for FIP-participating fisheries. The analysis resulted in a significant price premium for FIP and domestic certification valued more than international brands. These findings suggest that FIP-participating fisheries have the potential for cost recovery, even during the certification process.

Suggested Citation

  • Hiroki Wakamatsu & Yuki Maruyama, 2024. "Consumer Preference for Fisheries Improvement Project: Case of Bigeye Tuna in Japan," Sustainability, MDPI, vol. 16(6), pages 1-11, March.
  • Handle: RePEc:gam:jsusta:v:16:y:2024:i:6:p:2530-:d:1359898
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    References listed on IDEAS

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    1. Stevens, Thomas H., 2005. "Can Stated Preference Valuations Help Improve Environmental Decision Making?," Choices: The Magazine of Food, Farm, and Resource Issues, Agricultural and Applied Economics Association, vol. 20(3), pages 1-5.
    2. Mandy Ryan & Nicolas Krucien & Frouke Hermens, 2018. "The eyes have it: Using eye tracking to inform information processing strategies in multi‐attributes choices," Health Economics, John Wiley & Sons, Ltd., vol. 27(4), pages 709-721, April.
    3. McFadden, Daniel, 1980. "Econometric Models for Probabilistic Choice among Products," The Journal of Business, University of Chicago Press, vol. 53(3), pages 13-29, July.
    4. Sogn-Grundvåg, Geir & Larsen, Thomas A. & Young, James A., 2013. "The value of line-caught and other attributes: An exploration of price premiums for chilled fish in UK supermarkets," Marine Policy, Elsevier, vol. 38(C), pages 41-44.
    5. Stephen K. Swallow & Thomas Weaver & James J. Opaluch & Thomas S. Michelman, 1994. "Heterogeneous Preferences and Aggregation in Environmental Policy Analysis: A Landfill Siting Case," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 76(3), pages 431-443.
    6. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521766555.
    7. Cathy A. Roheim & Frank Asche & Julie Insignares Santos, 2011. "The Elusive Price Premium for Ecolabelled Products: Evidence from Seafood in the UK Market," Journal of Agricultural Economics, Wiley Blackwell, vol. 62(3), pages 655-668, September.
    8. James Murphy & Thomas Stevens & Darryl Weatherhead, 2005. "Is Cheap Talk Effective at Eliminating Hypothetical Bias in a Provision Point Mechanism?," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 30(3), pages 327-343, March.
    9. Krinsky, Itzhak & Robb, A Leslie, 1986. "On Approximating the Statistical Properties of Elasticities," The Review of Economics and Statistics, MIT Press, vol. 68(4), pages 715-719, November.
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