IDEAS home Printed from https://ideas.repec.org/r/hal/journl/halshs-02934878.html
   My bibliography  Save this item

Scrutinizing the Direct Rebound Effect for French Households using Quantile Regression and data from an Original Survey

Citations

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


Cited by:

  1. Chen, Qian & Zha, Donglan & Wang, Lijun & Yang, Guanglei, 2022. "The direct CO2 rebound effect in households: Evidence from China's provinces," Renewable and Sustainable Energy Reviews, Elsevier, vol. 155(C).
  2. 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).
  3. Belaïd, Fateh & Flambard, Véronique, 2023. "Impacts of income poverty and high housing costs on fuel poverty in Egypt: An empirical modeling approach," Energy Policy, Elsevier, vol. 175(C).
  4. Shi, Jian-hua & Han, Ying & Li, Xue-dong & Zhou, Jie-qi, 2022. "How does urbanization affect the direct rebound effect? Evidence from residential electricity consumption in China," Energy, Elsevier, vol. 239(PE).
  5. Peñasco, Cristina & Anadón, Laura Díaz, 2023. "Assessing the effectiveness of energy efficiency measures in the residential sector gas consumption through dynamic treatment effects: Evidence from England and Wales," Energy Economics, Elsevier, vol. 117(C).
  6. Perera, Pradeep & Sarker, Tapan & Islam, K. M. Nazmul & Belaïd, Fateh & Taghizadeh-Hesary, Farhad, 2021. "How Precious Is the Reliability of the Residential Electricity Service in Developing Economies? Evidence from India," ADBI Working Papers 1211, Asian Development Bank Institute.
  7. Jafari, Mahboubeh & Stern, David I. & Bruns, Stephan B., 2022. "How large is the economy-wide rebound effect in middle income countries? Evidence from Iran," Ecological Economics, Elsevier, vol. 193(C).
  8. Stringer, Thomas & Joanis, Marcelin & Abdoli, Shiva, 2024. "Power generation mix and electricity price," Renewable Energy, Elsevier, vol. 221(C).
  9. BELAÏD, Fateh & Elsayed, Ahmed H. & Omri, Anis, 2021. "Key drivers of renewable energy deployment in the MENA Region: Empirical evidence using panel quantile regression," Structural Change and Economic Dynamics, Elsevier, vol. 57(C), pages 225-238.
  10. Belaïd, Fateh & Flambard, Véronique, 2024. "Ecological-behavioral economics: Impact of information on energy-renovation decision through third-party investing," Ecological Economics, Elsevier, vol. 221(C).
  11. Fateh Belaïd & Christophe Rault & Camille Massié, 2022. "A life-cycle theory analysis of French household electricity demand," Journal of Evolutionary Economics, Springer, vol. 32(2), pages 501-530, April.
  12. Tufan Özsoy, 2024. "The “energy rebound effect” within the framework of environmental sustainability," Wiley Interdisciplinary Reviews: Energy and Environment, Wiley Blackwell, vol. 13(2), March.
  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. Sofien Tiba & Fateh Belaid, 2021. "Modeling The Nexus Between Sustainable Development And Renewable Energy: The African Perspectives," Journal of Economic Surveys, Wiley Blackwell, vol. 35(1), pages 307-329, February.
  15. Belaïd, Fateh & Mikayilov, Jeyhun I., 2024. "Closing the Efficiency Gap: Insights into curbing the direct rebound effect of residential electricity consumption in Saudi Arabia," Energy Economics, Elsevier, vol. 135(C).
  16. 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).
  17. Zihan Zhang & Enping Li & Guowei Zhang, 2023. "How Efficient China’s Tiered Pricing Is for Household Electricity: Evidence from Survey Data," Sustainability, MDPI, vol. 15(2), pages 1-17, January.
  18. Ahmadova, Gozal & Delgado-Márquez, Blanca L. & Pedauga, Luis E. & Leyva-de la Hiz, Dante I., 2022. "Too good to be true: The inverted U-shaped relationship between home-country digitalization and environmental performance," Ecological Economics, Elsevier, vol. 196(C).
  19. Massié, Camille & Belaïd, Fateh, 2024. "Estimating the direct rebound effect for residential electricity use in seventeen European countries: Short and long-run perspectives," Energy Economics, Elsevier, vol. 134(C).
  20. Wang, Yuanping & Hou, Lingchun & Hu, Lang & Cai, Weiguang & Wang, Lin & Dai, Cuilian & Chen, Juntao, 2023. "How family structure type affects household energy consumption: A heterogeneous study based on Chinese household evidence," Energy, Elsevier, vol. 284(C).
  21. Sridhar, Araavind & Honkapuro, Samuli & Ruiz, Fredy & Stoklasa, Jan & Annala, Salla & Wolff, Annika & Rautiainen, Antti, 2023. "Toward residential flexibility—Consumer willingness to enroll household loads in demand response," Applied Energy, Elsevier, vol. 342(C).
  22. Adel Ben Youssef & Adelina Zeqiri, 2022. "Hospitality Industry 4.0 and Climate Change," Circular Economy and Sustainability, Springer, vol. 2(3), pages 1043-1063, September.
  23. Fateh Belaïd & Christophe Rault & Camille Massié, 2021. "A Life-Cycle Analysis of French Household Electricity Demand," CESifo Working Paper Series 8814, CESifo.
  24. Peng, Hua-Rong & Zhang, Yue-Jun & Liu, Jing-Yue, 2023. "The energy rebound effect of digital development: Evidence from 285 cities in China," Energy, Elsevier, vol. 270(C).
  25. Marco Baudino & Jackie Krafft & Francesco Quatraro, 2024. "Exploring the direct rebound effects for residential electricity demand in urban environments: evidence from Nice," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 72(3), pages 757-795, March.
  26. Roth, Lucas & Lowitzsch, Jens & Yildiz, Özgür, 2023. "Which (co-)ownership types in renewables are associated with the willingness to adopt energy-efficient technologies and energy-conscious behaviour? Data from German households," Energy Policy, Elsevier, vol. 180(C).
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.