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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Energy Policyarrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Energy Policy
Article . 2017 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
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Decomposing inequality in energy-related CO2 emissions by source and source increment: The roles of production and residential consumption

Authors: Jiandong Chen; Shulei Cheng; Malin Song;

Decomposing inequality in energy-related CO2 emissions by source and source increment: The roles of production and residential consumption

Abstract

Abstract Using provincial data on energy-related CO2 emissions in China from 1997 to 2014 and the CO2 emission Gini coefficient (CEG), this study evaluates China's spatial inequality in energy-related CO2 emissions. Further, we decompose this inequality and its variation from the perspectives of production and residential energy consumption, using the source decomposition and source increment decomposition methods. This paper presents a new CEG source increment decomposition method that can achieve complete decomposition. The results reveal a downward trend in China's overall, production sector and residential sector CO2 emissions inequality. Although the Gini coefficient of CO2 emissions from the residential sector is larger than that from the production sector, the contribution of the latter to the overall CEG is higher. The impacts of the spatial inequality of CO2 emissions from China's production and residential sectors depend on the type of energy. The concentration effect is the primary factor responsible for inducing changes in China’s overall and production sector CO2 emissions inequality, but it is not the only dominant factor for the residential sector CO2 emissions inequality.

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
83
Top 1%
Top 10%
Top 1%