Literature DB >> 26079555

An interprovincial cooperative game model for air pollution control in China.

Jian Xue1, Laijun Zhao, Longzhen Fan, Ying Qian.   

Abstract

UNLABELLED: The noncooperative air pollution reduction model (NCRM) that is currently adopted in China to manage air pollution reduction of each individual province has inherent drawbacks. In this paper, we propose a cooperative air pollution reduction game model (CRM) that consists of two parts: (1) an optimization model that calculates the optimal pollution reduction quantity for each participating province to meet the joint pollution reduction goal; and (2) a model that distribute the economic benefit of the cooperation (i.e., pollution reduction cost saving) among the provinces in the cooperation based on the Shapley value method. We applied the CRM to the case of SO2 reduction in the Beijing-Tianjin-Hebei region in China. The results, based on the data from 2003-2009, show that cooperation helps lower the overall SO2 pollution reduction cost from 4.58% to 11.29%. Distributed across the participating provinces, such a cost saving from interprovincial cooperation brings significant benefits to each local government and stimulates them for further cooperation in pollution reduction. Finally, sensitivity analysis is performed using the year 2009 data to test the parameters' effects on the pollution reduction cost savings. IMPLICATIONS: China is increasingly facing unprecedented pressure for immediate air pollution control. The current air pollution reduction policy does not allow cooperation and is less efficient. In this paper we developed a cooperative air pollution reduction game model that consists of two parts: (1) an optimization model that calculates the optimal pollution reduction quantity for each participating province to meet the joint pollution reduction goal; and (2) a model that distributes the cooperation gains (i.e., cost reduction) among the provinces in the cooperation based on the Shapley value method. The empirical case shows that such a model can help improve efficiency in air pollution reduction. The result of the model can serve as a reference for Chinese government pollution reduction policy design.

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Year:  2015        PMID: 26079555     DOI: 10.1080/10962247.2015.1021935

Source DB:  PubMed          Journal:  J Air Waste Manag Assoc        ISSN: 1096-2247            Impact factor:   2.235


  2 in total

1.  PM2.5 Cooperative Control with Fuzzy Cost and Fuzzy Coalitions.

Authors:  Zhen Zhou; Meijia Zhang; Xiaohui Yu; Xijun He; Kang Wang; Quan Shao; Jie Wang; Hongxia Sun
Journal:  Int J Environ Res Public Health       Date:  2019-04-09       Impact factor: 3.390

2.  Lung cancer burden has increased during the last 40 years in Hebei Province, China.

Authors:  Yutong He; Daojuan Li; Guohui Song; Yongwei Li; Di Liang; Jing Jin; Denggui Wen; Baoen Shan
Journal:  Thorac Cancer       Date:  2016-01-26       Impact factor: 3.500

  2 in total

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