Journal
JOURNAL OF CLEANER PRODUCTION
Volume 127, Issue -, Pages 406-417Publisher
ELSEVIER SCI LTD
DOI: 10.1016/j.jclepro.2016.03.149
Keywords
Energy consumption; Carbon emissions; LMDI method; Regional contribution
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Funding
- Fundamental Research Funds for the Central Universities [2015XKMS090]
- National Natural Science Foundation of China [71573253]
- Program of Innovation Team of China University of Mining and Technology [2015ZY003]
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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.
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