• Complex
  • Title
  • Keyword
  • Abstract
  • Scholars
  • Journal
  • ISSN
  • Conference
搜索

Author:

Li, Hao (Li, Hao.) | Zhao, Yuhuan (Zhao, Yuhuan.) | Qiao, Xiaoyong (Qiao, Xiaoyong.) (Scholars: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.)

Indexed by:

SSCI EI Scopus

Abstract:

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.

Keyword:

Driving forces Spatial decomposition analysis Temporal decomposition analysis CO2 emissions China

Author Community:

  • [ 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

Reprint Author's Address:

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

Show more details

Related Keywords:

Source :

ENERGY ECONOMICS

ISSN: 0140-9883

Year: 2017

Volume: 68

Page: 522-538

ESI Discipline: ECONOMICS & BUSINESS;

ESI HC Threshold:175

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count: 111

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 11

Online/Total:1061/10614035
Address:BJUT Library(100 Pingleyuan,Chaoyang District,Beijing 100124, China Post Code:100124) Contact Us:010-67392185
Copyright:BJUT Library Technical Support:Beijing Aegean Software Co., Ltd.