期刊
ENERGY
卷 178, 期 -, 页码 685-694出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.energy.2019.04.154
关键词
China; CO2 emissions; DEA; Distance function; Marginal abatement cost
资金
- China National Social Science Foundation [15ZDA054]
- Humanities and Social Sciences Project from Ministry of Education of China [17YJA790021, 16YJA790050]
- National Natural Science Foundation of China [71873057, 71333007]
- University of Western Australia [PG.10100061]
- Guangdong Province
- Natural Science Foundation of Guangdong Province [2018A030310025]
- Ministry of Education of China [17YJA790021]
- Guangdong Province for financial support through the Pearl River Talents Plan
Using a newly constructed panel dataset of 286 Chinese cities for 2002-2013, we examine the static and dynamic distribution and determinants of marginal abatement cost (MAC) of CO2. We find that: 1) there has been a steady increase of the estimated mean MAC for CO2 emissions over the studied period; 2) there is substantial heterogeneity in the estimated MAC across regions with eastern cities having the highest MAC and northeastern cities having the lowest; 3) the distribution dynamics analysis shows that there is no clear tendency of convergence in the steady state distribution of MAC in the long term. The findings provide strong support for a market-based policy instrument for CO2 mitigation in China. Our regression model also reveals a U-shaped relationship between MAC and CO2 emission intensity with most cities located to the left-hand side of the turning point by 2013. This also provides significant implications on the cost burden of complying with various intensity-based mitigation targets under China's current regulatory regime. (C) 2019 Elsevier Ltd. All rights reserved.
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