The economic impact of China's INDC: Distinguishing the roles of the renewable energy quota and the carbon market

被引:53
作者
Mu, Yaqian [1 ,2 ]
Wang, Can [1 ,2 ,3 ,4 ]
Cai, Wenjia [3 ,4 ]
机构
[1] Tsinghua Univ, State Key Joint Lab Environm Simulat & Pollut Con, Beijing, Peoples R China
[2] Tsinghua Univ, Sch Environm, Room 1004, Beijing 100084, Peoples R China
[3] Tsinghua Univ, Minist Educ, Key Lab Earth Syst Modeling, Beijing, Peoples R China
[4] Tsinghua Univ, Dept Earth Syst Sci, Beijing, Peoples R China
基金
中国国家自然科学基金;
关键词
Economic impact; INDC; Renewable energy; Carbon market; CGE model; China; CLIMATE POLICY; CO2; EMISSIONS; GUANGDONG PROVINCE; POWER SECTOR; MITIGATION; SCENARIOS; PEAKING; TARGET; PERSPECTIVE; CONSUMPTION;
D O I
10.1016/j.rser.2017.06.105
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
This study contributes to the existing literature on economic impacts assessment of China's Intended Nationally Determined Contributions (INDC) by 2030. A dynamic Computable General Equilibrium (CGE) model of China that incorporates the technological details of the electricity sector is used in this study. Two main policy choices, including the renewable quota and the carbon market, are modeled to distinguish different pathways to INDC targets. Results show several important findings. First, the total economic cost required to achieve China's INDC targets ranges from 0.11% to 0.43% of GDP by 2030. Second, energy sectors such as the coal mining and electric power sectors are the most affected by China's INDC in terms of both sectoral production and price. This study further indicates that the implementation of a national carbon market is efficient in reducing the compliance costs of INDC targets, while the deployment of renewable power helps to create employment opportunities and reduce permit prices in the carbon market. In addition, the results of a cost-benefit analysis suggest that the hidden health benefits of China's INDC can offset approximately 42.1-162.3% of the compliance costs, even based on the most conservative estimates.
引用
收藏
页码:2955 / 2966
页数:12
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