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Energy Policy
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Energy Policy
Article . 2019 . Peer-reviewed
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Determinants of changes in electricity generation intensity among different power sectors

Authors: Jiandong Chen; Yinyin Wu; Shulei Cheng; Malin Song; Hua Chen; Wenxuan Hou; Wenxuan Hou;

Determinants of changes in electricity generation intensity among different power sectors

Abstract

Abstract This study analyzes the determinants of changes in electricity generation intensity in China and further uncovers the reasons for the differences between the changes in electricity generation intensity in the thermal and sustainable power sectors. By developing a factorial-intertemporal nested decomposition technique using the refined Laspeyres index, we demonstrate the contributions of electricity generation structure, electricity generation-to-consumption ratio, production electricity consumption intensity, residential electricity consumption intensity, and electricity consumption loss intensity effects. Although the electricity generation intensity of the thermal power sector has been lower than that of the sustainable power sector, the latter has declined remarkably and has remained the key sector driving the overall changes in electricity generation intensity. Meanwhile, the effect of electricity consumption intensity is the main factor that reduces electricity generation intensity. Moreover, the impact of production electricity consumption intensity in the thermal power sector exceeds its impact in the sustainable power sector. Ultimately, we find that the differences between the changes in electricity generation intensity in the thermal and sustainable power sectors are mainly due to their differences in production electricity consumption intensity.

Country
United Kingdom
Keywords

China, Refined Laspeyres index, electricity generation intensity, power sector, nested decomposition

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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!
39
Top 10%
Top 10%
Top 10%
Green
hybrid