Carbon market maturity analysis with an integrated multi-criteria decision making method: A case study of EU and China

被引:36
作者
Zhang, Fang [1 ]
Fang, Hong [2 ]
Song, Wenyan [2 ,3 ]
机构
[1] Capital Univ Econ & Business, Sch Econ, Beijing 10070, Peoples R China
[2] Beihang Univ, Sch Econ & Management, Beijing 100191, Peoples R China
[3] Beihang Univ, Minist Educ, Key Lab Complex Syst Anal Management & Decis, Beijing 100191, Peoples R China
基金
中国国家自然科学基金;
关键词
Carbon market; Maturity; Rough set theory; Integrated weight; Technique for order preference by similarity to ideal solution; RISK; SUSTAINABILITY; PERFORMANCE; FRAMEWORK; DYNAMICS; LESSONS; PRICES; MODEL;
D O I
10.1016/j.jclepro.2019.118296
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
As a crucial tool to conserve energy utilization and reduce greenhouse gas (GHG) emissions, carbon market has drawn close attention from political circles and academia. A mature carbon market makes the market run orderly and achieve the goal of reducing emissions effectively. It is meaningful to assess the maturity of carbon market. This paper aims at identifying the comprehensive criteria for evaluating the maturity degree of carbon market and proposing a feasible method to evaluate the maturity level of the European Union Emission Trading Scheme (EU ETS) and carbon markets in China. Firstly, this paper proposes 23 specific criteria based on triple bottom line (environmental, economic, and social aspects) to assess the maturity of carbon market. Secondly, we put forward a novel multi-criteria decision approach, which integrates subjective weights and objective weights. Rough set theory is introduced into this method to deal with subjectivity and vagueness problems. Lastly, a case study is applied to assess the maturity level of the EU ETS and carbon markets in China. The results indicate that the EU ETS is currently the most mature carbon trading market. Comparing with the EU ETS, the maturity degrees of carbon markets in China are lower overall. Chinese carbon markets could be divided into three levels according to maturity: Hubei and Guangdong rank the first level; Shenzhen, Beijing and Shanghai rank the second level; Tianjin and Chongqing are at the lowest level. (C) 2019 Elsevier Ltd. All rights reserved.
引用
收藏
页数:15
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