
You have already added 0 works in your ORCID record related to the merged Research product.
You have already added 0 works in your ORCID record related to the merged Research product.
<script type="text/javascript">
<!--
document.write('<div id="oa_widget"></div>');
document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=undefined&type=result"></script>');
-->
</script>
Impacts of socioeconomic factors on monthly electricity consumption of China’s sectors

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.
- Beijing Institute of Technology China (People's Republic of)
- China University of Mining and Technology China (People's Republic of)
- China University of Mining and Technology China (People's Republic of)
- Beijing Institute of Technology China (People's Republic of)
Socioeconomic factors, Monthly electricity consumption, Price elasticity, Socioeconomic factors, Monthly electricity consumption, Price elasticity,, jel: jel:Q40, jel: jel:Q58
Socioeconomic factors, Monthly electricity consumption, Price elasticity, Socioeconomic factors, Monthly electricity consumption, Price elasticity,, jel: jel:Q40, jel: jel:Q58
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).9 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.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average
