Fishermen’s Preferences for Ecological Policies and Behavior Analysis: A Case Study of Weihai City, China

The extent to which fishery ecological protection policy objectives are aligned with fishermen’s preferences is central to their participation in environmental protection behavior and can enhance their utility. In this study, survey data are analyzed from 352 fishing households in Weihai City, China, using the choice experiment method and a random parameter logit model to examine the differences in the fishermen’s target preferences for fishery ecological protection measures and their behavior in terms of participation in environmental protection. The results indicate that incorporating fishery ecological policy objectives into conservation programs significantly increases the fishermen’s enthusiasm for environmental protection and their willingness to participate, reflecting their ecological and social rationality. In addition, the environmental protection behavior of fishermen is influenced by their ecological awareness of fisheries, risk perception, willingness to pay, per capita annual income, employment status, number of laborers, fishery technology training, participation in cooperatives, and education level, in addition to other important factors, including the economic conditions and social background. Therefore, designing fishery ecological protection plans that incorporate various policy objectives from which fishermen can choose provides effective decision support and practical pathways for fishery ecological protection and sustainable development. The effective alignment of policies with fishermen’s preferences can thereby enhance their participation in environmental protection.

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Publication Details

Journal
Sustainability
Published
2024-12-30
DOI
https://doi.org/10.3390/su17010203
Citations
2
Primary Topic
Economic and Environmental Valuation
Type
article
Field-Weighted Citation Impact
2.26
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article

Fishermen’s Preferences for Ecological Policies and Behavior Analysis: A Case Study of Weihai City, China

Yanyi Wu, Yinuo Wu, Changbiao Zhong
2 citations
Sustainability
Economic and Environmental Valuation
2.26
article

Fishermen’s Preferences for Ecological Policies and Behavior Analysis: A Case Study of Weihai City, China

Yanyi Wu, Yinuo Wu, Changbiao Zhong
article en
2 citations

Abstract

The extent to which fishery ecological protection policy objectives are aligned with fishermen’s preferences is central to their participation in environmental protection behavior and can enhance their utility. In this study, survey data are analyzed from 352 fishing households in Weihai City, China, using the choice experiment method and a random parameter logit model to examine the differences in the fishermen’s target preferences for fishery ecological protection measures and their behavior in terms of participation in environmental protection. The results indicate that incorporating fishery ecological policy objectives into conservation programs significantly increases the fishermen’s enthusiasm for environmental protection and their willingness to participate, reflecting their ecological and social rationality. In addition, the environmental protection behavior of fishermen is influenced by their ecological awareness of fisheries, risk perception, willingness to pay, per capita annual income, employment status, number of laborers, fishery technology training, participation in cooperatives, and education level, in addition to other important factors, including the economic conditions and social background. Therefore, designing fishery ecological protection plans that incorporate various policy objectives from which fishermen can choose provides effective decision support and practical pathways for fishery ecological protection and sustainable development. The effective alignment of policies with fishermen’s preferences can thereby enhance their participation in environmental protection.

SustainabilityVol. 17(1)
Ningbo University (CN), University of Nottingham Ningbo China (CN)
Openalex Percentile: Top 7%
Economic and Environmental Valuation
2.26
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