LAPSE:2018.0992
Published Article

LAPSE:2018.0992
The Driving Forces of Changes in CO₂ Emissions in China: A Structural Decomposition Analysis
November 27, 2018
Abstract
Understanding the drivers of changes in CO₂ emissions is vital for a range of stakeholders. Hence, this paper explores the main drivers of CO₂ emissions in China using structural decomposition analysis based on constant price and non-comparative input-output tables. The driving forces at both nationwide and industrial levels are divided into nine effects. To investigate the effects from an energy perspective, all nine effects are further decomposed into three kinds of fossil fuels. Our empirical results show that the energy intensity effect can significantly stimulate emission reduction. Though the energy structure effect is weak, the trend of which over time shows that the energy structure is shifting to low carbon. Additionally, among final demand effect, the urban consumption, investment, and export expansion effects predominantly overwhelm other effects and contribute significantly to CO₂ emissions. Although the short term Leontief effects fluctuate greatly, the total Leontief effect in 1997⁻2010 reveals that it can significantly contribute to CO₂ emissions. Finally, detailed and concrete policy implications for CO₂ emission reduction are provided.
Understanding the drivers of changes in CO₂ emissions is vital for a range of stakeholders. Hence, this paper explores the main drivers of CO₂ emissions in China using structural decomposition analysis based on constant price and non-comparative input-output tables. The driving forces at both nationwide and industrial levels are divided into nine effects. To investigate the effects from an energy perspective, all nine effects are further decomposed into three kinds of fossil fuels. Our empirical results show that the energy intensity effect can significantly stimulate emission reduction. Though the energy structure effect is weak, the trend of which over time shows that the energy structure is shifting to low carbon. Additionally, among final demand effect, the urban consumption, investment, and export expansion effects predominantly overwhelm other effects and contribute significantly to CO₂ emissions. Although the short term Leontief effects fluctuate greatly, the total Leontief effect in 1997⁻2010 reveals that it can significantly contribute to CO₂ emissions. Finally, detailed and concrete policy implications for CO₂ emission reduction are provided.
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Keywords
CO2 emissions, decomposition effect, driving force, input–output table, structural decomposition analysis
Subject
Suggested Citation
Xiao B, Niu D, Guo X. The Driving Forces of Changes in CO₂ Emissions in China: A Structural Decomposition Analysis. (2018). LAPSE:2018.0992
Author Affiliations
Xiao B: School of Economics and Management, North China Electric Power University, Hui Long Guan, Chang Ping District, Beijing 102206, China
Niu D: School of Economics and Management, North China Electric Power University, Hui Long Guan, Chang Ping District, Beijing 102206, China
Guo X: School of Economics and Management, North China Electric Power University, Hui Long Guan, Chang Ping District, Beijing 102206, China
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Niu D: School of Economics and Management, North China Electric Power University, Hui Long Guan, Chang Ping District, Beijing 102206, China
Guo X: School of Economics and Management, North China Electric Power University, Hui Long Guan, Chang Ping District, Beijing 102206, China
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Journal Name
Energies
Volume
9
Issue
4
Article Number
E259
Year
2016
Publication Date
2016-03-31
ISSN
1996-1073
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Original Submission
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PII: en9040259, Publication Type: Journal Article
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LAPSE:2018.0992
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https://doi.org/10.3390/en9040259
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Nov 27, 2018
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Calvin Tsay
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