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The effect of temperatures on household electricity consumption in northern China: Evidence from smart meters

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  • Shi, Tie
  • Chen, Hanyi
  • Xu, Junbing
  • Wang, Xuebin

Abstract

This paper uses daily household electricity consumption data collected by smart electricity meters to estimate the short-run temperature response in Jiaozuo City, Henan Province. Estimates from the flexible temperature bin model indicate that, on average, residential electricity demand increases by 22.7 % or more at temperatures above 27 °C relative to the reference temperature bin. Holding all else constant, a 1.5 °C increase in average temperature under the CMIP5 scenario would lead to a 5.9 % increase in residential electricity use by mid-century. Our results, although most precise for Henan Province, are nevertheless sufficiently generalizable to northern China.

Suggested Citation

  • Shi, Tie & Chen, Hanyi & Xu, Junbing & Wang, Xuebin, 2025. "The effect of temperatures on household electricity consumption in northern China: Evidence from smart meters," Utilities Policy, Elsevier, vol. 96(C).
    • Handle: RePEc:eee:juipol:v:96:y:2025:i:c:s0957178725001377
    DOI: 10.1016/j.jup.2025.102022
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    JEL classification:

    • Q41 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Demand and Supply; Prices
    • Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming

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