文献类型：期刊文献

英文题名：SVR-DEA model of carbon tax pricing for China's thermal power industry

作者：An, Yunfei[1];Zhai, Xueqi[2]

第一作者：An, Yunfei

通讯作者：Zhai, XQ[1]

机构：[1]Nanjing Univ Aeronaut & Astronaut, Coll Econ & Management, Nanjing, Peoples R China;[2]Henan Univ Econ & Law, Sch Business Adm, Zhengzhou, Peoples R China

第一机构：Nanjing Univ Aeronaut & Astronaut, Coll Econ & Management, Nanjing, Peoples R China

通讯机构：[1]corresponding author), Henan Univ Econ & Law, Sch Business Adm, Zhengzhou, Peoples R China.|[104843]河南财经政法大学工商管理学院;[10484]河南财经政法大学;

年份：2020

卷号：734

外文期刊名：SCIENCE OF THE TOTAL ENVIRONMENT

收录：;EI(收录号：20202208714072);Scopus(收录号：2-s2.0-85085176575);WOS:【SSCI(收录号:WOS:000540272000003)，SCI-EXPANDED(收录号:WOS:000540272000003)】；

基金：This work was supported by the Philosophy and Social Sciences Planning Project of Henan Provincial Department of Education under grant 2020-ZZJH-032, Postgraduate Research & Practice Innovation Program of Jiangsu Province (KYCX19_0142) and Nanjing University of Aeronautics and Astronautics PhD short-term visiting scholar project (190608DF09).

语种：英文

外文关键词：Carbon tax; Carbon emission reduction; Thermal power generation; Data envelopment analysis; Support vector regression

摘要：To mitigate the adverse effects of global climate change, the carbon tax has been gradually recognized as an important economic means to reduce carbon emissions. This paper therefore aimed to investigate the carbon tax pricing for China's thermal power industry and proposed a provincial increasing block carbon tax (IBCT) policy. By designing a forecast-optimized framework with support vector regression (SVR) and data envelopment analysis (DEA), the pricings of IBCT and flat carbon tax (FCT) were calculated. Meanwhile, the effects of both them on emission reduction were compared. The results showed that: (1) China's overall electricity demand will continue to increase in 2020, with southern and northern provinces showing stronger increases than other provinces. (2) The marginal abatement cost of each region was calculated, thus gaining an optimal three-stage form of IBCT. (3) The comparison indicated that the emission reduction efficiency of the IBCT was 23.1% higher than the FCT under the premise of equal emission reduction. The study suggests that IBCT is a more efficient type of carbon tax policy compared to FCT. Implementing IBCT can be conducive to achieving the dual goals of reducing cost burden and carbon emission in China's thermal power industry.