2010Unpublished venueRequires access

Changes of Carbon Emission Intensity from Industrial Energy Use in China

Xiaoli Liu, Wen-tao Qin

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Abstract

Decomposition analysis has been popular in the study on influencing factors of CO 2 emissions. This paper analyzes the change of CO 2 emission intensity in China over the period 1980-2007 based on a complete decomposition approach-the logarithmic mean divisia index (LMDI) method, and examines the factors driving the changes of CO 2 emissions intensity. The research shows that energy intensity is the main influence factor for CO 2 emission intensity decrease in China over the entire period, China has achieved a considerable decrease in CO 2 emission intensity mainly due to the improved of energy intensity. In addition, the change of energy structure exhibits positive effect to CO 2 emission intensity increase. According to research, the author suggests CO 2 emission intensity reduction strategies should aim at accelerate technological innovation and industrial structural adjustments; diversify energy supply with preference on renewable energy and perfect environment protection management system.

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What this paper is about

Decomposition analysis has been popular in the study on influencing factors of CO 2 emissions. This paper analyzes the change of CO 2 emission intensity in China over the period 1980-2007 based on a complete decomposition approach-the logarithmic mean divisia index (LMDI) method, and examines the factors driving the changes of CO 2 emissions intensity. The research shows that energy intensity is the main influence factor for CO 2 emission intensity decrease in China over the entire period, China has achieved a considerable decrease in CO 2 emission intensity mainly due to the improved of energy intensity. In addition, the change of energy structure exhibits positive effect to CO 2 emission intensity increase. According to research, the author suggests CO 2 emission intensity reduction strategies should aim at accelerate technological innovation and industrial structural adjustments; diversify energy supply with preference on renewable energy and perfect environment protection management system.

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Available abstract

Decomposition analysis has been popular in the study on influencing factors of CO 2 emissions. This paper analyzes the change of CO 2 emission intensity in China over the period 1980-2007 based on a complete decomposition approach-the logarithmic mean divisia index (LMDI) method, and examines the factors driving the changes of CO 2 emissions intensity. The research shows that energy intensity is the main influence factor for CO 2 emission intensity decrease in China over the entire period, China has achieved a considerable decrease in CO 2 emission intensity mainly due to the improved of energy intensity. In addition, the change of energy structure exhibits positive effect to CO 2 emission intensity increase. According to research, the author suggests CO 2 emission intensity reduction strategies should aim at accelerate technological innovation and industrial structural adjustments; diversify energy supply with preference on renewable energy and perfect environment protection management system.

Key concepts: Divisia index, Intensity (physics), Energy (signal processing), Statistics, Energy intensity, Mathematics, Physics, Quantum mechanics

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