Decomposition Analysis of Energy-Related Industrial CO2 Emissions in China
Based on the logarithmic mean Divisia index (LMDI) approach, this paper presents a decomposition analysis of China’s energy-related industrial CO2 emissions from 1985 to 2007, as well as a comparative analysis of differential influences of various factors on six sectors. Via the decomposition, five...
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MDPI AG
2013-04-01
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Series: | Energies |
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Online Access: | http://www.mdpi.com/1996-1073/6/5/2319 |
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author | Bin Chen Zhifeng Yang Liang Chen |
author_facet | Bin Chen Zhifeng Yang Liang Chen |
author_sort | Bin Chen |
collection | DOAJ |
description | Based on the logarithmic mean Divisia index (LMDI) approach, this paper presents a decomposition analysis of China’s energy-related industrial CO2 emissions from 1985 to 2007, as well as a comparative analysis of differential influences of various factors on six sectors. Via the decomposition, five categories of influencing factors are included: (1) Per capita GDP (PCG) was the largest positive driving factor for industrial CO2 emissions growth for all sectors in China, with the largest cumulative contribution value; Population (P), economic structure (YS) and energy structure (ES) also played a positive driving role, but with weak contributions. As the only negative inhibiting factor, energy intensity (EI) significantly reduced the energy-related CO2 emissions from industrial sectors. Meanwhile, CO2 emissions reduction based on the efficiency of energy use still held a large space. (2) Various influencing factors imposed differential impacts on CO2 emissions of six sectors. |
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format | Article |
id | doaj.art-fc1ee6bb26734d41a28dc0572b8ec058 |
institution | Directory Open Access Journal |
issn | 1996-1073 |
language | English |
last_indexed | 2024-04-11T22:47:39Z |
publishDate | 2013-04-01 |
publisher | MDPI AG |
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series | Energies |
spelling | doaj.art-fc1ee6bb26734d41a28dc0572b8ec0582022-12-22T03:58:43ZengMDPI AGEnergies1996-10732013-04-01652319233710.3390/en6052319Decomposition Analysis of Energy-Related Industrial CO2 Emissions in ChinaBin ChenZhifeng YangLiang ChenBased on the logarithmic mean Divisia index (LMDI) approach, this paper presents a decomposition analysis of China’s energy-related industrial CO2 emissions from 1985 to 2007, as well as a comparative analysis of differential influences of various factors on six sectors. Via the decomposition, five categories of influencing factors are included: (1) Per capita GDP (PCG) was the largest positive driving factor for industrial CO2 emissions growth for all sectors in China, with the largest cumulative contribution value; Population (P), economic structure (YS) and energy structure (ES) also played a positive driving role, but with weak contributions. As the only negative inhibiting factor, energy intensity (EI) significantly reduced the energy-related CO2 emissions from industrial sectors. Meanwhile, CO2 emissions reduction based on the efficiency of energy use still held a large space. (2) Various influencing factors imposed differential impacts on CO2 emissions of six sectors.http://www.mdpi.com/1996-1073/6/5/2319decomposition analysisenergy-related industrial CO2 emissionsindustrial discrepancy |
spellingShingle | Bin Chen Zhifeng Yang Liang Chen Decomposition Analysis of Energy-Related Industrial CO2 Emissions in China Energies decomposition analysis energy-related industrial CO2 emissions industrial discrepancy |
title | Decomposition Analysis of Energy-Related Industrial CO2 Emissions in China |
title_full | Decomposition Analysis of Energy-Related Industrial CO2 Emissions in China |
title_fullStr | Decomposition Analysis of Energy-Related Industrial CO2 Emissions in China |
title_full_unstemmed | Decomposition Analysis of Energy-Related Industrial CO2 Emissions in China |
title_short | Decomposition Analysis of Energy-Related Industrial CO2 Emissions in China |
title_sort | decomposition analysis of energy related industrial co2 emissions in china |
topic | decomposition analysis energy-related industrial CO2 emissions industrial discrepancy |
url | http://www.mdpi.com/1996-1073/6/5/2319 |
work_keys_str_mv | AT binchen decompositionanalysisofenergyrelatedindustrialco2emissionsinchina AT zhifengyang decompositionanalysisofenergyrelatedindustrialco2emissionsinchina AT liangchen decompositionanalysisofenergyrelatedindustrialco2emissionsinchina |