Spatial distribution of Chinese urban residents' electricity consumption and its driving factors—An empirical study based on the MGWR model

Qing Guo and Hongrui Sun

Energy, 2025, vol. 319, issue C

Abstract: The transformation in dwellers' home electric energy consumption, particularly in metropolitan areas, has emerged as a significant trend for the present and the future. The paper selects data from 280 prefecture-level cities in China in 2019, analyses the spatial correlation of residential electricity consumption using the Moran's index, and further investigates its driving factors using multi-scale geographically weighted regression (MGWR model). The conclusions are as follows:(1) China's urban household electric energy consumption displays significant high-high and low-low positive spatial autocorrelation; (2) Different factors influence China's urban residents' per capita electric energy consumption, and spatial heterogeneity is more noticeable; (3) China's urban residents' per capita electric energy consumption is influenced by different climate types, with extreme temperatures contributing to an increase in average electric energy consumption; and (4) The most notable difference in China's urban residents' per capita domestic electric energy consumption is found between tropical monsoon climate and temperate continental climate. On the basis of the aforementioned findings, the essay makes pertinent policy recommendations.

Keywords: China; Urban residential electricity consumption; Spatial distribution; Driving factors; MGWR model (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0360544225007182
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:319:y:2025:i:c:s0360544225007182

DOI: 10.1016/j.energy.2025.135076

Access Statistics for this article

Energy is currently edited by Henrik Lund and Mark J. Kaiser

More articles in Energy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().