IDEAS home Printed from https://ideas.repec.org/r/eee/eneeco/v107y2022ics014098832200072x.html
   My bibliography  Save this item

Extreme temperatures and residential electricity consumption: Evidence from Chinese households

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as


Cited by:

  1. Söderberg, Magnus & Vesterberg, Mattias, 2023. "How demand uncertainty influences electricity network prices under revenue-cap regulation: The case of Sweden," Energy Economics, Elsevier, vol. 127(PB).
  2. Wu, Shu & Hu, Fangfang & Zhang, Zhijian, 2025. "Climate change and energy poverty: Evidence from China," World Development, Elsevier, vol. 186(C).
  3. Shi, Han & Wang, Bo & Deng, Nana & Xu, Shuling & Wang, Zhaohua, 2025. "Examining energy poverty under high temperatures in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 215(C).
  4. Yao Wang & Qiang Yang & Xuenan Wu & Ruichen Wang & Tilei Gao & Yuntong Liu, 2023. "A Study of Trends in Low-Energy Development Patterns in China: A Data-Driven Approach," Sustainability, MDPI, vol. 15(13), pages 1-18, June.
  5. Lanlan Li & Xinpei Song & Jingjing Li & Ke Li & Jianling Jiao, 2023. "The impacts of temperature on residential electricity consumption in Anhui, China: does the electricity price matter?," Climatic Change, Springer, vol. 176(3), pages 1-26, March.
  6. Shen, Yiran & Sun, Xiaolei & Ji, Qiang & Zhang, Dayong, 2023. "Climate events matter in the global natural gas market," Energy Economics, Elsevier, vol. 125(C).
  7. Yabin Da & Bin Zeng & Jing-Li Fan & Jiawei Hu & Lanlan Li, 2023. "Heterogeneous responses to climate: evidence from residential electricity consumption," Climatic Change, Springer, vol. 176(8), pages 1-19, August.
  8. Hou, Xiaojuan & Xiang, Ruojun, 2025. "Exploring the influence of extreme heat on corporate energy efficiency," Journal of Asian Economics, Elsevier, vol. 97(C).
  9. Guo, Kun & Luan, Liyuan & Cai, Xiaoli & Zhang, Dayong & Ji, Qiang, 2024. "Energy trade stability of China: Policy options with increasing climate risks," Energy Policy, Elsevier, vol. 184(C).
  10. Ye, Yuxiang & Koch, Steven F. & Ye, Xianming, 2025. "The effect of temperature on household hourly electricity consumption: Evidence from South Africa," Energy, Elsevier, vol. 319(C).
  11. Zhang, Yimeng & Wang, Feng & Zhang, Bing, 2023. "The impacts of household structure transitions on household carbon emissions in China," Ecological Economics, Elsevier, vol. 206(C).
  12. Zhang, Xin & Chen, Fanglin & Chen, Zhongfei & Zhang, Jie, 2024. "Temperature exposure and health inequality," Journal of Asian Economics, Elsevier, vol. 92(C).
  13. Li, Xue & Smyth, Russell & Yao, Yao, 2023. "Extreme temperatures and out-of-pocket medical expenditure: Evidence from China," China Economic Review, Elsevier, vol. 77(C).
  14. Shi, Han & Wang, Bo & Qiu, Yueming Lucy & Deng, Nana & Xie, Baichen & Zhang, Bin & Ma, Shijun, 2024. "The unequal impacts of extremely high temperatures on households’ adaptive behaviors: Empirical evidence from fine-grained electricity consumption data," Energy Policy, Elsevier, vol. 190(C).
  15. Jiyong Park & Sunghee Choi, 2025. "Understanding Reference-Dependent Behaviors in Determining Electricity Consumption of Korean Households: Empirical Evidence and Policy Implications," Energies, MDPI, vol. 18(11), pages 1-14, May.
  16. Shi, Zhengyu & Wu, Libo & Zhou, Yang, 2023. "Predicting household energy consumption in an aging society," Applied Energy, Elsevier, vol. 352(C).
  17. Song, Feng & Miao, Xintong & Xia, Fang, 2025. "Fighting climate change together: The regional heterogenous impacts of climate change and potentials of regional power market," Energy Economics, Elsevier, vol. 141(C).
  18. Zhang, Guoxing & Shen, Lin & Su, Bin, 2023. "Temperature change and daily urban-rural residential electricity consumption in northwestern China: Responsiveness and inequality," Energy Economics, Elsevier, vol. 126(C).
  19. Chen, Ze-Chang & Li, Chong-Mao, 2025. "Energy emergency scheduling under extreme weather events: A novel emergency scheduling method based on the improved supernetwork," Energy, Elsevier, vol. 322(C).
  20. Deng, Nana & Wang, Bo & Wang, Zhaohua, 2023. "Does targeted poverty alleviation improve households’ adaptation to hot weathers: Evidence from electricity consumption of poor households," Energy Policy, Elsevier, vol. 183(C).
  21. Jiang, Lei & Yang, Yue & Wu, Qingyang & Yang, Linshuang & Yang, Zaoli, 2024. "Hotter days, dirtier air: The impact of extreme heat on energy and pollution intensity in China," Energy Economics, Elsevier, vol. 130(C).
  22. Jiang, Lei & Yang, Linshuang & Wu, Qingyang & Zhang, Xinyue, 2024. "How does extreme heat affect carbon emission intensity? Evidence from county-level data in China," Economic Modelling, Elsevier, vol. 139(C).
  23. Arshad, Selvia & Beyer, Robert C.M., 2023. "Tracking economic fluctuations with electricity consumption in Bangladesh," Energy Economics, Elsevier, vol. 123(C).
  24. Bui, Thanh-Huong & Bui, Ha-Phuong & Pham, Thi Mai-Anh, 2024. "Effects of temperature on job insecurity: Evidence from Australia," Economic Analysis and Policy, Elsevier, vol. 82(C), pages 264-276.
  25. Huang, Jing & Echeverri, Dalia Patino & Zhang, Zhengfeng, 2024. "Planting trees is a cost-effective way to reduce residential electricity consumption and abate atmospheric CO2," Applied Energy, Elsevier, vol. 373(C).
  26. Yuanping Wang & Weiguang Cai & Lingchun Hou & Zhaoyin Zhou & Jing Bian, 2022. "Examining the Provincial-Level Difference and Impact Factors of Urban Household Electricity Consumption in China—Based on the Extended STIRPAT Model," Sustainability, MDPI, vol. 14(16), pages 1-18, August.
  27. Xinyu Yang & Siqi Yu & Xinling Jiang & Zhongyao Cai & Ping Jiang, 2025. "The Impact of Different Types of Energy Transition Policies in China on Household Energy Poverty and Health Vulnerability," Energies, MDPI, vol. 18(8), pages 1-21, April.
  28. Li, Xue & Smyth, Russell & Xin, Guangyi & Yao, Yao, 2023. "Warmer temperatures and energy poverty: Evidence from Chinese households," Energy Economics, Elsevier, vol. 120(C).
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.