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基于微分对策的流域生态补偿政府与企业协同机制研究。

Research on the cooperative mechanism of government and enterprise for basin ecological compensation based on differential game.

机构信息

Business School, University of Shanghai for Science and Technology, Shanghai, China.

School of Politics and Public Administration, Soochow University, Suzhou, China.

出版信息

PLoS One. 2021 Jul 23;16(7):e0254411. doi: 10.1371/journal.pone.0254411. eCollection 2021.

Abstract

Ecological compensation is an important means of basin pollution control, the existing researches mainly focus on the government level ignoring the important role of enterprises. Therefore, this paper introduces enterprises into the process of ecological compensation. Firstly, suppose the ecological compensation system composed of government and enterprises, the government is in the dominant position. The ecological compensation input of the government and enterprise will produce social reputation, and the ecological compensation of enterprise will also produce advertising effect. Consumer demand will be affected by social reputation and advertising effect. Then, the compensation strategies of the government and enterprise are analyzed by constructing the differential game model. The research shows that under certain conditions, the cost-sharing mechanism can realize the Pareto improvement of the benefits of government, enterprise and the whole system. Under the cooperative mechanism, the benefit of the government, enterprise and the whole system is optimal. Finally, the validity of the conclusion is verified by case analysis, and the sensitivity analysis of the relevant parameters is carried out. The conclusion can provide reference for government to establish sustainable watershed ecological compensation mechanism.

摘要

生态补偿是流域污染控制的重要手段,现有研究主要集中在政府层面,忽视了企业的重要作用。因此,本文将企业引入生态补偿过程。首先,假设由政府和企业组成的生态补偿系统,政府处于主导地位。政府和企业的生态补偿投入会产生社会声誉,企业的生态补偿也会产生广告效应。消费者需求会受到社会声誉和广告效应的影响。然后,通过构建微分博弈模型对政府和企业的补偿策略进行分析。研究表明,在一定条件下,成本分担机制可以实现政府、企业和整个系统利益的帕累托改进。在合作机制下,政府、企业和整个系统的效益最优。最后,通过案例分析验证了结论的有效性,并对相关参数进行了敏感性分析。结论可为政府建立可持续的流域生态补偿机制提供参考。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8abd/8302252/3fc90520de37/pone.0254411.g001.jpg

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