Collaborative Governance of Stakeholders in the Payment for Forest Ecosystem Services: An SA-SNA-EGA Approach

被引:0
|
作者
Wei, Xue [1 ,2 ]
Li, Hua [1 ]
Chen, Wenhui [1 ,2 ]
机构
[1] School of Economics and Management, Beijing Forestry University, Beijing,100083, China
[2] State Key Laboratory of Efficient Production of Forest Resources, Beijing,100083, China
来源
Forests | 2024年 / 15卷 / 10期
关键词
D O I
10.3390/f15101806
中图分类号
学科分类号
摘要
Forests provide goods and services while maintaining ecological security. However, the market does not adequately reflect their economic benefits, posing a significant challenge to the Payments for Forest Ecosystem Services (PFES). The involvement of multiple stakeholders with varying responsibilities and interests complicates collaboration and hinders effective governance. This study proposes an integrated approach using stakeholder analysis, social network analysis, and evolutionary game analysis to explore the collaborative governance of stakeholders in PFES. Through field surveys, the study empirically investigates PFES in China, demonstrating the effectiveness of this integrated approach. The results indicate the following: (i) Stakeholders are classified into three categories; the key stakeholders include the central and local governments, forest managers, and paying users. (ii) Stakeholders still need to strengthen collaboration. Local governments, forest managers, their employees, and communities exert widespread influence; paying users and research institutions have high efficiency in resource sharing. (iii) Five evolutionarily stable strategies are observed at different stages. Government intervention is crucial for changing the stagnant state. Benefits and government incentives have a positive impact on stakeholder collaborative governance. The research findings offer theoretical insights to enhance stakeholder collaboration and promote the development of the PFES. Key strategies include addressing key stakeholders’ needs, diversifying incentives, and establishing an accessible information platform. © 2024 by the authors.
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