2013Unpublished venueRequires access

Factors Decomposition of Energy CO_2 Emission in China:Based on LMDI Model

Jing Ma

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Abstract

Carbon emission is a hot issue nowadays. How to evaluate various factors’contribution to carbon emission is important in finding some key factors to reduce carbon emission. The paper calculates carbon emissions under the different circumstances, and divide influence of emissions into different sections, utlizing LMDI decomposition model and using three major energy as objects of research, study on the emissions contribution of different sections of study and factors. Energy decomposition model illustrated that the sector of energy structure sector and the life inhibited carbon dioxide emissions intensity ,the fast economic growth was a major cause of the decline of emission intensity, whereas the adjustment of energy structure has little effect on the emission intensity, consequently energy sector can promote emission intensity. In additon, whether China's energy consumption increases or decreases, both are derived from fluctuations of energy consumption in the industrial sector, with all changes of energy consupmtion in per capita therefrom. It can be forsee that in the next period of time, industrialization has not been completed in China, energy consumption per capita with the consequent increase of carbon emissions would grow up in the short term, but as a modest rate.

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What this paper is about

Carbon emission is a hot issue nowadays. How to evaluate various factors’contribution to carbon emission is important in finding some key factors to reduce carbon emission. The paper calculates carbon emissions under the different circumstances, and divide influence of emissions into different sections, utlizing LMDI decomposition model and using three major energy as objects of research, study on the emissions contribution of different sections of study and factors. Energy decomposition model illustrated that the sector of energy structure sector and the life inhibited carbon dioxide emissions intensity ,the fast economic growth was a major cause of the decline of emission intensity, whereas the adjustment of energy structure has little effect on the emission intensity, consequently energy sector can promote emission intensity. In additon, whether China's energy consumption increases or decreases, both are derived from fluctuations of energy consumption in the industrial sector, with all changes of energy consupmtion in per capita therefrom. It can be forsee that in the next period of time, industrialization has not been completed in China, energy consumption per capita with the consequent increase of carbon emissions would grow up in the short term, but as a modest rate.

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Available abstract

Carbon emission is a hot issue nowadays. How to evaluate various factors’contribution to carbon emission is important in finding some key factors to reduce carbon emission. The paper calculates carbon emissions under the different circumstances, and divide influence of emissions into different sections, utlizing LMDI decomposition model and using three major energy as objects of research, study on the emissions contribution of different sections of study and factors. Energy decomposition model illustrated that the sector of energy structure sector and the life inhibited carbon dioxide emissions intensity ,the fast economic growth was a major cause of the decline of emission intensity, whereas the adjustment of energy structure has little effect on the emission intensity, consequently energy sector can promote emission intensity. In additon, whether China's energy consumption increases or decreases, both are derived from fluctuations of energy consumption in the industrial sector, with all changes of energy consupmtion in per capita therefrom. It can be forsee that in the next period of time, industrialization has not been completed in China, energy consumption per capita with the consequent increase of carbon emissions would grow up in the short term, but as a modest rate.

Key concepts: Energy intensity, Energy consumption, Emission intensity, Per capita, Industrialisation, Greenhouse gas, Carbon fibers, China

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