China University of Mining and Technology, Xuzhou, 221116, China; Wuhan University, Wuhan, 430072, China.
China University of Mining and Technology, Xuzhou, 221116, China.
J Environ Manage. 2022 Jan 1;301:113896. doi: 10.1016/j.jenvman.2021.113896. Epub 2021 Oct 11.
To solve the increasingly serious air pollution problem, regional air pollution collaborative governance as an effective way is introduced in this paper. Firstly, this study constructs a game model of regional air pollution collaborative governance, and three classic cost sharing methods are used to allocate the cost of air pollution governance; Then the emission reduction cost of regional cooperative governance is obtained; Finally, the study makes an empirical analysis on the cost sharing of SO emission reduction by four local governments of the Yangtze River Delta region in 2017. The results show that: (i) The emission reduction cost of regional cooperative governance is better than that of individual governance, and in 2017 the cost of SO cooperative governance in Yangtze River Delta region is reduced by about 1.8% compared with the individual governance; (ii) The Shapley value method is utilized to allocate the benefits of the cooperative SO governance of four provinces in the Yangtze River Delta region, which indicates that all local governments can obtain certain profits from this cooperation and the cooperative alliance is stable; (iii) Collaborative governance of regional air pollution can meet the requirements of both collective rationality and individual rationality at the same time.
为解决日益严重的空气污染问题,本文引入区域空气污染协同治理这一有效方式。首先,构建区域空气污染协同治理的博弈模型,运用三种经典的成本分担方法对空气污染治理成本进行分摊;然后得出区域协同治理的减排成本;最后,以 2017 年长三角地区四个地方政府的 SO 减排成本分担为例进行实证分析。结果表明:(i)区域协同治理的减排成本优于个体治理,2017 年长三角地区 SO 协同治理成本比个体治理降低了约 1.8%;(ii)利用 Shapley 值法对长三角地区四省 SO 协同治理的收益进行分配,表明各地方政府均可从这一合作中获得一定收益,且合作联盟稳定;(iii)区域空气污染协同治理同时满足集体理性和个体理性的要求。