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作者:

Li, Hao (Li, Hao.) | Zhao, Yuhuan (Zhao, Yuhuan.) | Qiao, Xiaoyong (Qiao, Xiaoyong.) (学者:乔小勇) | Liu, Ya (Liu, Ya.) | Cao, Ye (Cao, Ye.) | Li, Yue (Li, Yue.) | Wang, Song (Wang, Song.) | Zhang, Zhonghua (Zhang, Zhonghua.) | Zhang, Yongfeng (Zhang, Yongfeng.) | Weng, Jianfeng (Weng, Jianfeng.)

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摘要:

This study explores the driving forces of the changes of national and regional CO2 emissions using temporal decomposition analysis model, and investigates the driving forces of the differences of CO2 emissions between China's 30 regions and the national average using spatial decomposition analysis model. The changes or the differences in national and regional CO2 emissions during 2000-2014 are decomposed into nine underlying determinants. Temporal decomposition results show that economic scale effect is the dominant driving force leading to the increases in both national and regional CO2. emissions, while energy intensity effect is the main contributor to the reduction of CO2 emissions. Contribution of various variables to CO2 emissions between eastern region and central region are roughly same. Spatial decomposition results demonstrate that the differences of CO2 emissions among China's 30 regions are expanding increasingly. Economic scale effect is main driving force responsible for the difference in CO2 emissions among regions, and energy intensity effect, energy structure effect and industrial structure effect are also important factors which result in the increasing differences in regional CO2 emissions. In addition, resource-based and less developed regions have greater potential in the reduction of CO2 emissions. Understanding CO2 emissions and the driving forces of various regions is critical for developing regional mitigation strategies in China. (C) 2017 Elsevier B.V. All rights reserved.

关键词:

China CO2 emissions Driving forces Spatial decomposition analysis Temporal decomposition analysis

作者机构:

  • [ 1 ] [Li, Hao]Beijing Inst Technol, Sch Management & Econ, Beijing 100081, Peoples R China
  • [ 2 ] [Zhao, Yuhuan]Beijing Inst Technol, Sch Management & Econ, Beijing 100081, Peoples R China
  • [ 3 ] [Liu, Ya]Beijing Inst Technol, Sch Management & Econ, Beijing 100081, Peoples R China
  • [ 4 ] [Cao, Ye]Beijing Inst Technol, Sch Management & Econ, Beijing 100081, Peoples R China
  • [ 5 ] [Li, Yue]Beijing Inst Technol, Sch Management & Econ, Beijing 100081, Peoples R China
  • [ 6 ] [Wang, Song]Beijing Inst Technol, Sch Management & Econ, Beijing 100081, Peoples R China
  • [ 7 ] [Zhang, Yongfeng]Beijing Inst Technol, Sch Management & Econ, Beijing 100081, Peoples R China
  • [ 8 ] [Zhao, Yuhuan]Sustainable Dev Res Inst Econ & Soc Beijing, Beijing 100081, Peoples R China
  • [ 9 ] [Qiao, Xiaoyong]Beijing Univ Technol, Coll Econ & Management, Beijing 100124, Peoples R China
  • [ 10 ] [Zhang, Zhonghua]Tsinghua Univ, Sch Environm, Div Air Pollut & Its Control, Beijing 100084, Peoples R China
  • [ 11 ] [Zhang, Yongfeng]Yanan Univ, Sch Econ & Management, Yanan 716000, Shaanxi, Peoples R China
  • [ 12 ] [Weng, Jianfeng]State Grid Fujian Procurement Co Ltd, Fuzhou 350001, Fujian, Peoples R China

通讯作者信息:

  • [Zhao, Yuhuan]Beijing Inst Technol, Sch Management & Econ, Beijing 100081, Peoples R China

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来源 :

ENERGY ECONOMICS

ISSN: 0140-9883

年份: 2017

卷: 68

页码: 522-538

ESI学科: ECONOMICS & BUSINESS;

ESI高被引阀值:79

被引次数:

WoS核心集被引频次: 65

SCOPUS被引频次: 89

ESI高被引论文在榜: 0 展开所有

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中文被引频次:

近30日浏览量: 2

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