Issue |
E3S Web Conf.
Volume 275, 2021
2021 International Conference on Economic Innovation and Low-carbon Development (EILCD 2021)
|
|
---|---|---|
Article Number | 02002 | |
Number of page(s) | 4 | |
Section | Green Low-Carbon and Energy Saving and Emission Reduction Applications | |
DOI | https://doi.org/10.1051/e3sconf/202127502002 | |
Published online | 21 June 2021 |
Research on Ecological Compensation in the Yellow River Basin Based on the Perspective of Game Theory
1
Department of Management Science and Engineering, Shanxi University of Finance and Economics, Taiyuan, Shanxi, China
2
Department of Mechanical Engineering, Yanshan University, Qinhuangdao, Hebei, China
* Corresponding author: zyq18536353489@163.com
The Yellow River Basin is an important ecological function zone in China, and it plays an important role in the national economic and social development pattern. However, the over-utilization of water resources has made the ecological and environmental problems in the river basin more and more serious. For this reason, the coordinated governance of the areas along the Yellow River basin has become very important. Based on the static game model, this paper conducts a comprehensive analysis of the coordinated governance of the Yellow River basin in the upstream and downstream areas, constructs a static game model of ecological compensation between the Shanxi and Henan governments under coordinated governance, and studies the feedback equilibrium strategies of the Shanxi and Henan governments. This article provides theoretical basis and suggestions for collaborative governance to achieve sustainable development. The game results show that: reducing the cost of protecting the ecological environment of the upstream basin, increasing the benefits of protecting the ecological environment, and increasing the amount of ecological compensation can promote the implementation of the ecological compensation policy between the upstream and downstream in the basin.
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.