Regional allocation of carbon emission quotas in China: Evidence from the Shapley value method

被引:165
|
作者
Zhang, Yue-Jun [2 ,3 ]
Wang, Ao-Dong [1 ,4 ]
Da, Ya-Bin [1 ,4 ]
机构
[1] Beijing Inst Technol, Sch Management & Econ, Beijing 100081, Peoples R China
[2] Hunan Univ, Sch Business, Changsha 410082, Hunan, Peoples R China
[3] Hunan Univ, Ctr Resource & Environm Management, Changsha 410082, Hunan, Peoples R China
[4] Beijing Inst Technol, Ctr Energy & Environm Policy Res, Beijing 100081, Peoples R China
基金
中国国家自然科学基金;
关键词
Carbon emissions; Shapley value; Collaborative emission reduction; DIFFERENTIATION;
D O I
10.1016/j.enpol.2014.08.006
中图分类号
F [经济];
学科分类号
02 ;
摘要
It is an important task for China to allocate carbon emission quotas among regions so as to realize its carbon reduction targets and establish the national cap-and-trade carbon market. Meanwhile, it is supposed to be cost-effective to jointly reduce China's carbon emissions through some collaborative activities among regions. Then a natural question is how to allocate the quotas among regions in light of the collaboration. For this purpose, the Shapley value method is adopted and the results show that, first, the regions with higher GDP, higher carbon outflow and higher carbon reduction connection should be allocated more carbon quotas. Moreover, when the collaboration is considered, the optimal allocation of carbon quotas among regions will change significantly compared to the basic quotas by the entropy method; and the Central region is allocated the largest proportion of carbon quota among regions, which indicates its largest radiation effect. Besides, the collaboration between the Central region and Northern coast region, and that between the Central region and the Eastern region should be paid close attention. These results may provide insightful support for decision makers to promote collaborative carbon reduction and allocate carbon quotas in China. (C) 2014 Elsevier Ltd. All rights reserved.
引用
收藏
页码:454 / 464
页数:11
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