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Article . 2014 . Peer-reviewed
License: Springer TDM
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Impacts of socioeconomic factors on monthly electricity consumption of China’s sectors

Authors: Yi-Ming Wei; Yun-Bing Hou; Hao Yu; Bao-Jun Tang; Jing-Li Fan; Jing-Li Fan;

Impacts of socioeconomic factors on monthly electricity consumption of China’s sectors

Abstract

In this paper, we report eight sets of multivariate regression equations, introducing the socioeconomic factors for the estimation models of monthly electricity consumption in the primary, secondary, tertiary industry, and the household sectors, to study the quantitative effects of socioeconomic factors (electricity real price, activity level, income, holiday, etc.). The results demonstrate that the price elasticity of electricity demand in the household and the secondary industry sectors is significant. When the electricity price increases by 1 %, the demand in the household and secondary industry sectors reduces by 0.4–0.5 % with a time lag for the latter.

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Keywords

Socioeconomic factors, Monthly electricity consumption, Price elasticity, Socioeconomic factors, Monthly electricity consumption, Price elasticity,, jel: jel:Q40, jel: jel:Q58

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    popularity
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    Top 10%
    influence
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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!
9
Top 10%
Average
Average