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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. Tan, Ruipeng & Zhang, Zixuan & Du, Kerui & Lin, Boqiang, 2025. "Energy rebound effect in China: Measurement based on a variable coefficient production function," Ecological Economics, Elsevier, vol. 230(C).
  4. 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.
  5. Penghu Zhu & Boqiang Lin, 2025. "Why is efficiency improvement ineffective in alleviating energy poverty? The nonnegligible rebound effect," Annals of Operations Research, Springer, vol. 355(1), pages 579-598, December.
  6. 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).
  7. Deng, Yating & Zou, Yueqing & Guang, Fengtao, 2025. "Unveiling the energy efficiency paradox: Industrial automation and energy rebound in China," Energy, Elsevier, vol. 328(C).
  8. 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).
  9. 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).
  10. Qiaoru Wang & Zhenghao He & Tingyu Liu, 2025. "Assessment of carbon emission reduction potential in new-type urbanization policy: A perspective on carbon rebound effect," Environment and Planning B, , vol. 52(6), pages 1498-1516, July.
  11. 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.
  12. 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).
  13. 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.
  14. Peng, Hua-Rong & Qin, Xiong-Feng, 2024. "Digitalization as a trigger for a rebound effect of electricity use," Energy, Elsevier, vol. 300(C).
  15. 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).
  16. Penghu Zhu & Boqiang Lin, 2022. "Vanishing Happiness: How Does Pollution Information Disclosure Affect Life Satisfaction?," IJERPH, MDPI, vol. 19(15), pages 1-19, August.
  17. Tostes, Bernardo & Heun, Matthew Kuperus & Henriques, Sofia T. & Brockway, Paul E. & Sousa, Tânia, 2025. "Insights from the evolution of transport technologies, 1800–2020: Energy use, transitions, and efficiency," Applied Energy, Elsevier, vol. 401(PA).
  18. 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).
  19. 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).
  20. 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).
  21. Lin, Boqiang & Huang, Chenchen, 2023. "Nonlinear relationship between digitization and energy efficiency: Evidence from transnational panel data," Energy, Elsevier, vol. 276(C).
  22. Shao, Qinglong & Kostka, Genia, 2023. "The COVID-19 pandemic and deepening digital inequalities in China," Telecommunications Policy, Elsevier, vol. 47(10).
  23. 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.
  24. 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).
  25. Zhu, Yuke & Lan, Mudan, 2023. "Digital economy and carbon rebound effect: Evidence from Chinese cities," Energy Economics, Elsevier, vol. 126(C).
  26. 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).
  27. Zhang, Yi & Meng, Yan & Fan, Shuai & Xiao, Jucheng & Li, Li & He, Guangyu, 2025. "Multi-time scale customer directrix load-based demand response under renewable energy and customer uncertainties," Applied Energy, Elsevier, vol. 383(C).
  28. 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).
  29. 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).
  30. 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).
  31. 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).
  32. Jinshi Wei, 2025. "The Dynamic Evolution of Industrial Electricity Consumption Linkages and Flow Path in China," Energies, MDPI, vol. 18(15), pages 1-21, August.
  33. 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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