Comparative analysis of the regional contributions to carbon emissions in China

被引:111
作者
Xu, Shi-Chun [1 ]
He, Zheng-Xia [2 ]
Long, Ru-Yin [1 ]
Chen, Hong [1 ]
Han, Hui-Min [1 ]
Zhang, Wen-Wen [1 ]
机构
[1] China Univ Min & Technol, Sch Management, Xuzhou 221116, Peoples R China
[2] Jiangsu Normal Univ, Sch Business, Xuzhou 221116, Peoples R China
基金
中国国家自然科学基金;
关键词
Energy consumption; Carbon emissions; LMDI method; Regional contribution; MEAN DIVISIA INDEX; GREENHOUSE-GAS EMISSIONS; CO2; EMISSIONS; DECOMPOSITION ANALYSIS; DIOXIDE EMISSIONS; ENERGY-CONSUMPTION; ECONOMIC-GROWTH; POTENTIAL MITIGATION; PROVINCIAL REGIONS; LMDI DECOMPOSITION;
D O I
10.1016/j.jclepro.2016.03.149
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Using the logarithmic mean Divisia index (LMDI) method, we decomposed the factors that affect carbon emissions at a multi-regional level. Based on a comparative analysis of the regional contributions to carbon emissions in China from 1995 to 2012, we found that economic growth is a major factor that increases carbon emissions. Excluding Hainan, Guangxi, Ningxia, and Xinjiang, the energy intensity effects of other provinces and municipalities inhibited carbon emissions clearly. The energy structure effect in Beijing and Shanghai inhibited carbon emissions most obviously, whereas the energy structure effect in Xinjiang promoted carbon emissions to the greatest extent. The energy structure effect in most regions had little influence on carbon emissions. The output proportion effect enhances carbon emissions on the whole, which indicates China's regional economic development is not coordinated from the perspective of carbon emission reductions. Overall, Shandong, Inner Mongolia, and Hebei made the biggest contributions to national carbon emissions. Policy implications in terms of our study results are discussed. (C) 2016 Elsevier Ltd. All rights reserved.
引用
收藏
页码:406 / 417
页数:12
相关论文
共 51 条
[21]  
[李艳梅 LI Yan-mei], 2010, [资源科学, Resources Science], V32, P218
[22]   Analysis of energy-related CO2 (carbon dioxide) emissions and reduction potential in the Chinese non-metallic mineral products industry [J].
Lin, Boqiang ;
Ouyang, Xiaoling .
ENERGY, 2014, 68 :688-697
[23]   Decomposition analysis: Change of carbon dioxide emissions in the Chinese textile industry [J].
Lin, Boqiang ;
Moubarak, Mohamed .
RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2013, 26 :389-396
[24]   Using LMDI method to analyzed the change of China's industrial CO2 emissions from final fuel use:: An empirical analysis [J].
Liu, Lan-Cui ;
Fan, Ying ;
Wu, Gang ;
Wei, Yi-Ming .
ENERGY POLICY, 2007, 35 (11) :5892-5900
[25]   China's regional CO2 emissions: Characteristics, inter-regional transfer and emission reduction policies [J].
Meng, Lei ;
Guo, Ju'e ;
Chai, Jian ;
Zhang, Zengkai .
ENERGY POLICY, 2011, 39 (10) :6136-6144
[26]   Decomposition analysis and mitigation strategies of CO2 emissions from energy consumption in South Korea [J].
Oh, Ilyoung ;
Wehrmeyer, Walter ;
Mulugetta, Yacob .
ENERGY POLICY, 2010, 38 (01) :364-377
[27]   CO2 emission from energy use in India:: a decomposition analysis [J].
Paul, S ;
Bhattacharya, RN .
ENERGY POLICY, 2004, 32 (05) :585-593
[28]   Using LMDI to analyze the decoupling of carbon dioxide emissions by China's manufacturing industry [J].
Ren, Shenggang ;
Yin, Hongyuan ;
Chen, XiaoHong .
ENVIRONMENTAL DEVELOPMENT, 2014, 9 :61-75
[29]   Driving effect analysis of energy-consumption carbon emissions in the Yangtze River Delta region [J].
Song, Malin ;
Guo, Xu ;
Wu, Kaiya ;
Wang, Guixin .
JOURNAL OF CLEANER PRODUCTION, 2015, 103 :620-628
[30]  
Stern Da., 2007, 0706 RENSS WORK