JOURNAL ARTICLE

Impact of climate change on electricity consumption of urban residents in China: An empirical analysis based on annual urban panel data.

  • Published In: Journal of Renewable & Sustainable Energy, 2025, v. 17, n. 1. P. 1 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Wang, Yuanping; He, Yu; Hu, Lang; Su, Xinyue; Hou, Lingchun; Cai, Weiguang; Sun, Changhui; Fan, Yueyue; Su, Shaotong; Ma, Weiwen 3 of 3

Abstract

This article investigates the impact of climate change, specifically temperature variations, on urban residential electricity consumption (uec) across 278 prefecture-level cities in China from 2011 to 2019 using an extended STIRPAT model—an analytical framework that incorporates population, affluence, technology, and climatic factors. The study finds that both heating degree days (hdd) and cooling degree days (cdd) significantly increase electricity consumption, with cooling demand having a slightly greater effect, and that these impacts vary regionally: hdd and cdd promote uec in the economically developed eastern region, hdd affects the central region, while effects are insignificant in the western region. Additionally, northern residents show greater sensitivity to hot weather, whereas southern residents exhibit a nonlinear "U"-shaped electricity response to temperature changes due to differing heating habits. The research highlights the roles of urbanization, economic development, tertiary sector growth, technological innovation, and electricity pricing in influencing electricity consumption, and suggests policy measures including improved climate monitoring, green technology promotion, appliance upgrades, and heating infrastructure development to manage electricity demand amid climate change.

Additional Information

  • Source:Journal of Renewable & Sustainable Energy. 2025/01, Vol. 17, Issue 1, p1
  • Document Type:Article
  • Subject Area:Science
  • Publication Date:2025
  • ISSN:1941-7012
  • DOI:10.1063/5.0238794
  • Accession Number:183417704
  • Copyright Statement:Copyright of Journal of Renewable & Sustainable Energy is the property of American Institute of Physics and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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