China's regional carbon emission intensity decomposition system

被引：0
作者：
Liu, Wei-Xu [1 ,2 ]
Wang, Qian [1 ,2 ]
Liang, Qiao-Mei [1 ,2 ]
Wei, Yi-Ming [1 ,2 ]
Zhao, Lu-Tao [1 ,3 ]
机构：
[1] Beijing Inst Technol, Ctr Energy & Environm Policy Res, Beijing 100081, Peoples R China
[2] Beijing Inst Technol, Sch Management & Econ, Beijing 100081, Peoples R China
[3] Univ Sci & Technol Beijing, Sch Math & Phys, Beijing 100083, Peoples R China
来源：
INTERNATIONAL JOURNAL OF GLOBAL ENERGY ISSUES | 2014年 / 37卷 / 5-6期
关键词：
Divisia decomposition; carbon emission intensity; management information system;
D O I：
10.1504/ijgei.2014.067664
中图分类号：
X [环境科学、安全科学];
学科分类号：
08 ; 0830 ;
摘要：
Based on the Divisia decomposition method, this study developed the China Regional Carbon Emission Intensity Decomposition System (CREID). CREID intends to provide a uniform platform to analyse the trends of China's regional carbon emission intensity and their underlying reasons. The uneven regional development and large amount of data to process in China are considered in CREID. Corresponding software was developed using a scenario-oriented mode and an object-oriented development process. With this system, the carbon intensity of every province can be decomposed into emission, intensity and structure effects. A sensitivity analysis for these three effects can also be performed. An application of this system shows that it helps to reveal the problems existing in the energy structure, energy efficiency and economic structure of different regions, then the decision supports for developing low-carbon strategies can be provided.
引用
收藏
页码：319 / 337
页数：19
相关论文
共 19 条
[1]   Decomposition analysis and Innovative Accounting Approach for energy-related CO2 (carbon dioxide) emissions intensity over 1996-2009 in Portugal [J].
Alves, Margarita Robaina ;
Moutinho, Victor .
ENERGY, 2013, 57 :775-787
[2]   Decomposition of energy and CO2 intensities of Thai industry between 1981 and 2000 [J].
Bhattacharyya, SC ;
Ussanarassamee, A .
ENERGY ECONOMICS, 2004, 26 (05) :765-781
[3]   DECOMPOSITION OF CHANGES IN ENERGY INTENSITY - A COMPARISON OF THE DIVISIA INDEX AND OTHER METHODS [J].
BOYD, GA ;
HANSON, DA ;
STERNER, T .
ENERGY ECONOMICS, 1988, 10 (04) :309-312
[4]   Decomposition analysis of CO2 emission intensity between oilproducing and non-oll-producing sub-Saharan African countries [J].
Ebohon, Obas John ;
Ikeme, Anthony Jekwu .
ENERGY POLICY, 2006, 34 (18) :3599-3611
[5]   Exploring driving factors of energy-related CO2 emissions in Chinese provinces: A case of Liaoning [J].
Geng, Yong ;
Zhao, Hongyan ;
Liu, Zhu ;
Xue, Bing ;
Fujita, Tsuyoshi ;
Xi, Fengming .
ENERGY POLICY, 2013, 60 :820-826
[6]   Decomposition of aggregate carbon intensity for freight: trends from 10 OECD countries for the period 1971-1993 [J].
Greening, LA ;
Ting, M ;
Davis, WB .
ENERGY ECONOMICS, 1999, 21 (04) :331-361
[7]   Decomposition of aggregate carbon intensity for the manufacturing sector: comparison of declining trends from 10 OECD countries for the period 1971-1991 [J].
Greening, LA ;
Davis, WB ;
Schipper, L .
ENERGY ECONOMICS, 1998, 20 (01) :43-65
[8]   Effects of human behavior on aggregate carbon intensity of personal transportation: comparison of 10 OECD countries for the period 1970-1993 [J].
Greening, LA .
ENERGY ECONOMICS, 2004, 26 (01) :1-30
[9]   Effects of changes in residential end-uses and behavior on aggregate carbon intensity: comparison of 10 OECD countries for the period 1970 through 1993 [J].
Greening, LA ;
Ting, M ;
Krackler, TJ .
ENERGY ECONOMICS, 2001, 23 (02) :153-178
[10]  
He YX, 2009, INT J GLOBAL ENERGY, V32, P34
12