Regional Variation of Energy-related Industrial CO2 Emissions Mitigation in China

被引:0
|
作者
Ren Shenggang [1 ]
Fu Xiang [1 ]
机构
[1] Cent S Univ, Sch Business, Dept Business Management, Changsha 410083, Peoples R China
来源
PROCEEDINGS OF THE 4TH INTERNATIONAL CONFERENCE ON ENVIRONMENTAL TECHNOLOGY AND KNOWLEDGE TRANSFER | 2012年
关键词
CO2; emissions; mitigation; industrial development; factor decomposition; DECOMPOSITION ANALYSIS; STRUCTURAL-CHANGE; DIVISIA INDEX; INTENSITY; CONSUMPTION; GROWTH; SECTOR;
D O I
暂无
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
This paper aims to analyze the reasons for regional variations in industrial CO2 emissions mitigation. Using a two-level LMDI perfect decomposition technique, the total energy-related industrial CO2 emissions of nine economic regions in China are decomposed into energy structure, energy intensity, industrial structure and economic output effects' during the Period of "11th Five-Year Plan. The rapid growth of industry is the most important factor responsible for increase in CO2 emission. The adjustment of industrial structure and energy structure both contribute to the increase of CO2 emissions slightly. Decline in energy consumption per unit GDP is the most important actuation fador of CO2 emissions mitigation and the energy emission factor also makes contribution to the CO2 reduction as a result of electricity generation efficiency enhancement.
引用
收藏
页码:463 / 476
页数:14
相关论文
共 50 条
  • [31] Assessing energy-related CO2 emissions with sensitivity analysis and input-output techniques
    Angel Tarancon, Miguel
    Del Rio, Pablo
    ENERGY, 2012, 37 (01) : 161 - 170
  • [32] The role of renewable energy in reducing residential fossil energy-related CO2 emissions: Evidence from rural China
    Zhu, Yongfeng
    Taylor, David
    Wang, Zilong
    JOURNAL OF CLEANER PRODUCTION, 2022, 366
  • [33] Decoupling of provincial energy-related CO2 emissions from economic growth in China and its convergence from 1995 to 2017
    Gao, Chaochao
    Ge, Haoqing
    Lu, Yingying
    Wang, Weijun
    Zhang, Yijia
    JOURNAL OF CLEANER PRODUCTION, 2021, 297
  • [34] A decomposition analysis of energy-related CO2 emissions in Chinese six high-energy intensive industries
    Du, Gang
    Sun, Chuanwang
    Ouyang, Xiaoling
    Zhang, Chi
    JOURNAL OF CLEANER PRODUCTION, 2018, 184 : 1102 - 1112
  • [35] Industrial Energy-Related CO2Emissions and Their Driving Factors in the Yangtze River Economic Zone (China): An Extended LMDI Analysis from 2008 to 2016
    Ye, Linlin
    Wu, Xiaodong
    Huang, Dandan
    INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2020, 17 (16) : 1 - 13
  • [36] Influencing factors analysis and forecasting of residential energy-related CO2 emissions utilizing optimized support vector machine
    Wen, Lei
    Cao, Yang
    JOURNAL OF CLEANER PRODUCTION, 2020, 250
  • [37] Research on Evolution in the Center of Gravity and a Contribution Decomposition of Energy-Related CO2 Emissions at the Provincial Level in China
    Song, Yan
    Sun, Junjie
    Zhang, Ming
    EMERGING MARKETS FINANCE AND TRADE, 2021, 57 (03) : 684 - 697
  • [38] Decomposition of energy-related CO2 emissions in China's iron and steel industry: A comprehensive decomposition framework
    Song, Yi
    Huang, Jian-Rai
    Feng, Chao
    RESOURCES POLICY, 2018, 59 : 103 - 116
  • [39] Drivers of energy-related CO2 emissions under structural adjustment in China
    Li, Xin
    Yang, Liyan
    Qiang, Ye
    2020 THIRD INTERNATIONAL WORKSHOP ON ENVIRONMENT AND GEOSCIENCE, 2020, 569
  • [40] Energy-related CO2 emissions in the China's iron and steel industry: A global supply chain analysis
    Peng, Jiaying
    Xie, Rui
    Lai, Mingyong
    RESOURCES CONSERVATION AND RECYCLING, 2018, 129 : 392 - 401