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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Main Authors: Bin Chen, Zhifeng Yang, Liang Chen
Format: Article
Language:English
Published: MDPI AG 2013-04-01
Series:Energies
Subjects:
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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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