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Measurement of the direct rebound effect of residential electricity consumption: An empirical study based on the China family panel studies

Citations

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Cited by:

  1. Zhu, Penghu & Lin, Boqiang, 2022. "Do the elderly consume more energy? Evidence from the retirement policy in urban China," Energy Policy, Elsevier, vol. 165(C).
  2. Baxter Williams & Daniel Bishop & Patricio Gallardo & J. Geoffrey Chase, 2023. "Demand Side Management in Industrial, Commercial, and Residential Sectors: A Review of Constraints and Considerations," Energies, MDPI, vol. 16(13), pages 1-28, July.
  3. Zhi Li & Lu Lv & Zuo Zhang, 2022. "Research on the Characteristics and Influencing Factors of Chinese Urban Households’ Electricity Consumption Efficiency," Energies, MDPI, vol. 15(20), pages 1-15, October.
  4. Kong, Li & Hu, Guangwen & Mu, Xianzhong & Li, Guohao & Zhang, Zheng, 2023. "The energy rebound effect in households: Evidence from urban and rural areas in Beijing," Applied Energy, Elsevier, vol. 343(C).
  5. Chen, Peipei & Wu, Yi & Zhong, Honglin & Long, Yin & Meng, Jing, 2022. "Exploring household emission patterns and driving factors in Japan using machine learning methods," Applied Energy, Elsevier, vol. 307(C).
  6. Meng, Yan & Fan, Shuai & Shen, Yu & Xiao, Jucheng & He, Guangyu & Li, Zuyi, 2023. "Transmission and distribution network-constrained large-scale demand response based on locational customer directrix load for accommodating renewable energy," Applied Energy, Elsevier, vol. 350(C).
  7. Maliyamu Abudureheman & Qingzhe Jiang & Xiucheng Dong & Cong Dong, 2022. "CO 2 Emissions in China: Does the Energy Rebound Matter?," Energies, MDPI, vol. 15(12), pages 1-25, June.
  8. Li, Xing & Liu, Zimin & Wu, Honglei & Yang, Dan, 2024. "Calculation and optimization of China's power distortion under carbon peaking target," Energy, Elsevier, vol. 306(C).
  9. Ke Jiang & Ran Xing & Zhihan Luo & Yaojie Li & Jinghang Wang & Wenxiao Zhang & Yaqi Zhu & Yatai Men & Guofeng Shen & Shu Tao, 2024. "Unclean but affordable solid fuels effectively sustained household energy equity," Nature Communications, Nature, vol. 15(1), pages 1-13, December.
  10. Peng, Hua-Rong & Qin, Xiong-Feng, 2024. "Digitalization as a trigger for a rebound effect of electricity use," Energy, Elsevier, vol. 300(C).
  11. Karakaya, Etem & Alataş, Sedat & Erkara, Elif & Mert, Betül & Akdoğan, Tuğba & Hiçyılmaz, Burcu, 2024. "The rebound effect of material and energy efficiency for the EU and its major trading partners," Energy Economics, Elsevier, vol. 134(C).
  12. Penghu Zhu & Boqiang Lin, 2022. "Vanishing Happiness: How Does Pollution Information Disclosure Affect Life Satisfaction?," IJERPH, MDPI, vol. 19(15), pages 1-19, August.
  13. Wei, Kai & Zhang, Zuopeng Justin & Lin, Boqiang, 2024. "Does news propaganda really affect residents’ electricity rebound effect: New evidence of non-price information," Energy, Elsevier, vol. 300(C).
  14. Guang, Fengtao & Wen, Le & Sharp, Basil, 2022. "Energy efficiency improvements and industry transition: An analysis of China's electricity consumption," Energy, Elsevier, vol. 244(PA).
  15. Zha, Donglan & Chen, Qian & Wang, Lijun, 2022. "Exploring carbon rebound effects in Chinese households’ consumption: A simulation analysis based on a multi-regional input–output framework," Applied Energy, Elsevier, vol. 313(C).
  16. Lin, Boqiang & Huang, Chenchen, 2023. "Nonlinear relationship between digitization and energy efficiency: Evidence from transnational panel data," Energy, Elsevier, vol. 276(C).
  17. Shao, Qinglong & Kostka, Genia, 2023. "The COVID-19 pandemic and deepening digital inequalities in China," Telecommunications Policy, Elsevier, vol. 47(10).
  18. Yuanping Wang & Lang Hu & Lingchun Hou & Lin Wang & Juntao Chen & Yu He & Xinyue Su, 2024. "A SHAP machine learning-based study of factors influencing urban residents' electricity consumption - evidence from chinese provincial data," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 26(12), pages 30445-30476, December.
  19. Wang, Xiaolei & Wei, Chunxin & Wang, Yanhua, 2022. "Does the current tiered electricity pricing structure still restrain electricity consumption in China's residential sector?," Energy Policy, Elsevier, vol. 165(C).
  20. Zhu, Yuke & Lan, Mudan, 2023. "Digital economy and carbon rebound effect: Evidence from Chinese cities," Energy Economics, Elsevier, vol. 126(C).
  21. Cui, Yin, 2023. "The influencing factors of carrying capacity of urban electricity infrastructure: Case study of six Chinese mega-cities," Energy, Elsevier, vol. 282(C).
  22. Ouyang, Xiaoling & Yang, Yuchuan & Du, Kerui & Cheng, Zhenyu, 2022. "How does residential electricity consumption respond to electricity efficiency improvement? Evidence from 287 prefecture-level cities in China," Energy Policy, Elsevier, vol. 171(C).
  23. Li, Jiapeng & Zuo, Xuguang & Sun, Chuanwang, 2023. "The effect of urban renewal on residential energy consumption expenditure--the example of shantytown renovation," Energy Policy, Elsevier, vol. 183(C).
  24. Huang, Chenchen & Lin, Boqiang, 2025. "The impact of digital economy on energy rebound effect in China: A stochastic energy demand frontier approach," Energy Policy, Elsevier, vol. 196(C).
  25. Kong, Li & Mu, Xianzhong & Hu, Guangwen & Tu, Chuang, 2023. "Will energy efficiency improvements reduce energy consumption? Perspective of rebound effect and evidence from beijing," Energy, Elsevier, vol. 263(PA).
  26. Zheng Fang & Thai‐Ha Le & Jiang Yu & Manyi Fan, 2025. "Evaluating Causal Effects of Increasing Block Pricing Policy on Residential Electricity Consumption in China," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 46(3), pages 1661-1676, April.
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