2013Chinese Journal of Population Resources and EnvironmentRequires access

Decomposition Analysis of SO_2 Emission Intensity in China Based on the Perspective of Departments

Zhang Chuan-ji

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Abstract

Based on a decomposition analysis method( LMDI method),the SO2emission intensity of China are studied by sectors. The decomposition models of indexes of energy intensity,energy structure,industrial structure,industrial output and resident income are built respectively. Moreover,on the basis of above models,the SO2emission intensity changes of production department and life department from 2005 to 2010 are empirically analyzed. The results of the research show that: the changes of total energy intensity,total energy structure,industrial structure and industrial output have played a significant role in changing the SO2emissions intensity; the SO2emission intensity and the main factors that influence it are both different in these two departments; the changes of nine industrial energy intensities in production department have caused SO2emission declining,while the changes of three residents' energy intensity in life department have caused SO2emission increasing. In addition,the energy structure changes of two departments have the opposite influences to the SO2emission intensity. Therefore,it is suggested that flexible emission reduction policies should be made and carried out according to actual situations of different departments in China.

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What this paper is about

Based on a decomposition analysis method( LMDI method),the SO2emission intensity of China are studied by sectors. The decomposition models of indexes of energy intensity,energy structure,industrial structure,industrial output and resident income are built respectively. Moreover,on the basis of above models,the SO2emission intensity changes of production department and life department from 2005 to 2010 are empirically analyzed. The results of the research show that: the changes of total energy intensity,total energy structure,industrial structure and industrial output have played a significant role in changing the SO2emissions intensity; the SO2emission intensity and the main factors that influence it are both different in these two departments; the changes of nine industrial energy intensities in production department have caused SO2emission declining,while the changes of three residents' energy intensity in life department have caused SO2emission increasing. In addition,the energy structure changes of two departments have the opposite influences to the SO2emission intensity. Therefore,it is suggested that flexible emission reduction policies should be made and carried out according to actual situations of different departments in China.

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Available abstract

Based on a decomposition analysis method( LMDI method),the SO2emission intensity of China are studied by sectors. The decomposition models of indexes of energy intensity,energy structure,industrial structure,industrial output and resident income are built respectively. Moreover,on the basis of above models,the SO2emission intensity changes of production department and life department from 2005 to 2010 are empirically analyzed. The results of the research show that: the changes of total energy intensity,total energy structure,industrial structure and industrial output have played a significant role in changing the SO2emissions intensity; the SO2emission intensity and the main factors that influence it are both different in these two departments; the changes of nine industrial energy intensities in production department have caused SO2emission declining,while the changes of three residents' energy intensity in life department have caused SO2emission increasing. In addition,the energy structure changes of two departments have the opposite influences to the SO2emission intensity. Therefore,it is suggested that flexible emission reduction policies should be made and carried out according to actual situations of different departments in China.

Key concepts: Energy intensity, Intensity (physics), China, Decomposition, Emission intensity, Energy (signal processing), Production (economics), Environmental science

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