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Consumer Preference for Eco-Labeled Seafood in Korea

Author

Listed:
  • Bong-Tae Kim

    (Fisheries Research Division, Korea Maritime Institute, 26 Haeyang-Ro 301Beon-Gil, Yeongdo-Gu, Busan 49111, Korea)

  • Min-Kyu Lee

    (Graduate School of Management of Technology, Pukyong National University, 365 Sinseon-Ro, Nam-Gu, Busan 48547, Korea)

Abstract

In Korea, fishery managers, eco-labeled program operators, and the government need detailed information regarding individual-level preferences for eco-labeled seafood. This study aims to identify the determinants of consumer preference for such seafood. Specifically, an ordered probit model is estimated by using micro-survey data obtained from interviews of 2773 randomly selected Korean households. Overall, the estimation results reveal that the chosen model is appropriate to analyze consumer preference for eco-labeled seafood. The coefficients of consumption frequency, the importance of price, the confirmation of origin, residential area, and household income are statistically meaningful. If consumers consider price an important factor, their consumption of eco-labeled seafood may decrease. Moreover, consumers with interest in the origin of seafood are more likely to accept eco-labeled seafood. To increase the consumption of eco-labeled seafood, it is recommended to develop products designed specifically for segmented markets and promote functional features. The findings can provide a valuable guideline to marketing managers and policy makers for designing effective strategies regarding eco-labeled seafood.

Suggested Citation

  • Bong-Tae Kim & Min-Kyu Lee, 2018. "Consumer Preference for Eco-Labeled Seafood in Korea," Sustainability, MDPI, vol. 10(9), pages 1-11, September.
  • Handle: RePEc:gam:jsusta:v:10:y:2018:i:9:p:3276-:d:169637
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    References listed on IDEAS

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    Cited by:

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    4. Konrad, Renata A. & Saeed, Khalid & Kammer-Kerwick, Matt & Busaranuvong, Palawat & Khumwang, Wai, 2023. "“Fish-y” banks: Using system dynamics to evaluate policy interventions for reducing labor exploitation in the seafood industry," Socio-Economic Planning Sciences, Elsevier, vol. 90(C).

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