IDEAS home Printed from https://ideas.repec.org/r/eee/enepol/v57y2013icp441-453.html
   My bibliography  Save this item

Evaluating the direct and indirect rebound effects in household energy consumption behavior: A case study of Beijing

Citations

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


Cited by:

  1. Adnane Kendel & Nathalie Lazaric, 2015. "The diffusion of smart meters in France: A discussion of the empirical evidence and the implications for smart cities," Post-Print halshs-01246427, HAL.
  2. Zheng, Xinye & Wei, Chu & Qin, Ping & Guo, Jin & Yu, Yihua & Song, Feng & Chen, Zhanming, 2014. "Characteristics of residential energy consumption in China: Findings from a household survey," Energy Policy, Elsevier, vol. 75(C), pages 126-135.
  3. Oliveira, Mario Henrique da Fonseca & Rebelatto, Daisy Aparecida do Nascimento, 2015. "The evaluation of electric energy consumption in the Brazilian residential sector: A technological improvement proposal in order to increase its efficiency," Renewable and Sustainable Energy Reviews, Elsevier, vol. 49(C), pages 836-844.
  4. Du, Qiang & Han, Xiao & Li, Yi & Li, Zhe & Xia, Bo & Guo, Xiqian, 2021. "The energy rebound effect of residential buildings: Evidence from urban and rural areas in China," Energy Policy, Elsevier, vol. 153(C).
  5. Yu, Biying & Ma, Ye & Xue, Meimei & Tang, Baojun & Wang, Bin & Yan, Jinyue & Wei, Yi-Ming, 2017. "Environmental benefits from ridesharing: A case of Beijing," Applied Energy, Elsevier, vol. 191(C), pages 141-152.
  6. Merter AKINCI, Haktan SEVİNÇ, Ömer YILMAZ, 2018. "Jevons Paradoksu: Enerji Etkinliği ve Rebound Etkisi Üzerine Ekonometrik Bir Analiz," Fiscaoeconomia, Tubitak Ulakbim JournalPark (Dergipark), issue 1.
  7. Freire-González, Jaume & Font Vivanco, David & Puig-Ventosa, Ignasi, 2017. "Economic structure and energy savings from energy efficiency in households," Ecological Economics, Elsevier, vol. 131(C), pages 12-20.
  8. Jong Hwan Suh, 2018. "Generating Future-Oriented Energy Policies and Technologies from the Multidisciplinary Group Discussions by Text-Mining-Based Identification of Topics and Experts," Sustainability, MDPI, vol. 10(10), pages 1-33, October.
  9. Li, Ke & Lin, Boqiang, 2015. "Heterogeneity in rebound effects: Estimated results and impact of China’s fossil-fuel subsidies," Applied Energy, Elsevier, vol. 149(C), pages 148-160.
  10. Galvin, Ray, 2015. "The ICT/electronics question: Structural change and the rebound effect," Ecological Economics, Elsevier, vol. 120(C), pages 23-31.
  11. Xiaofeng Lv & Kun Lin & Lingshan Chen & Yongzhong Zhang, 2022. "Does Retirement Affect Household Energy Consumption Structure? Evidence from a Regression Discontinuity Design," Sustainability, MDPI, vol. 14(19), pages 1-14, September.
  12. Gongyi Zhang & Chang Zhang & Hongguang Nie, 2021. "An Overview of China’s Energy Labeling Policy Portfolio: China’s Contribution to Addressing the Global Goal of Sustainable Development," SAGE Open, , vol. 11(1), pages 21582440209, January.
  13. Li, Ke & Jiang, Zhujun, 2016. "The impacts of removing energy subsidies on economy-wide rebound effects in China: An input-output analysis," Energy Policy, Elsevier, vol. 98(C), pages 62-72.
  14. Huang, Junbing & Chen, Xiang & Cai, Xiaochen & Zou, Hong, 2021. "Assessing the impact of energy-saving R&D on China’s energy consumption: Evidence from dynamic spatial panel model," Energy, Elsevier, vol. 218(C).
  15. Zhang, Yue-Jun & Peng, Hua-Rong & Su, Bin, 2017. "Energy rebound effect in China's Industry: An aggregate and disaggregate analysis," Energy Economics, Elsevier, vol. 61(C), pages 199-208.
  16. Huang, Wen-Hsiu, 2015. "The determinants of household electricity consumption in Taiwan: Evidence from quantile regression," Energy, Elsevier, vol. 87(C), pages 120-133.
  17. Wang, Xiaolei & Wen, Xiaohui & Xie, Chunping, 2018. "An evaluation of technical progress and energy rebound effects in China's iron & steel industry," Energy Policy, Elsevier, vol. 123(C), pages 259-265.
  18. 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).
  19. Yu, Biying & Tian, Yaming & Zhang, Junyi, 2015. "A dynamic active energy demand management system for evaluating the effect of policy scheme on household energy consumption behavior," Energy, Elsevier, vol. 91(C), pages 491-506.
  20. Sun, Chuanwang & Chen, Zhilong & Guo, Zhiru & Wu, Huixin, 2022. "Energy rebound effect of various industries in China: Based on hybrid energy input-output model," Energy, Elsevier, vol. 261(PB).
  21. Yan Lu & Xu Yang & Yixiang Ma & Lean Yu, 2022. "Rebound Effect of China’s Electric Power Demand in the Context of Technological Innovation," Sustainability, MDPI, vol. 14(14), pages 1-18, July.
  22. Bakry, Walid & Nghiem, Xuan-Hoa & Farouk, Sherine & Vo, Xuan Vinh, 2023. "Does it hurt or help? Revisiting the effects of ICT on economic growth and energy consumption: A nonlinear panel ARDL approach," Economic Analysis and Policy, Elsevier, vol. 78(C), pages 597-617.
  23. Meangbua, Onicha & Dhakal, Shobhakar & Kuwornu, John K.M., 2019. "Factors influencing energy requirements and CO2 emissions of households in Thailand: A panel data analysis," Energy Policy, Elsevier, vol. 129(C), pages 521-531.
  24. Biying Yu & Junyi Zhang & Akimasa Fujiwara, 2016. "Who rebounds in the private transport sector? A comparative analysis between Beijing and Tokyo," Environment and Planning B, , vol. 43(3), pages 561-579, May.
  25. Alessandro De Palma & Marco Faillo & Roberto Gabriele, 2023. "Decentralized Energy: How 100% Renewable Energy Regions Affect Households’ Saving Behavior," Discussion Papers of DIW Berlin 2055, DIW Berlin, German Institute for Economic Research.
  26. Freire-González, Jaume, 2017. "A new way to estimate the direct and indirect rebound effect and other rebound indicators," Energy, Elsevier, vol. 128(C), pages 394-402.
  27. Ye Ma & Biying Yu & Meimei Xue, 2018. "Spatial Heterogeneous Characteristics of Ridesharing in Beijing–Tianjin–Hebei Region of China," Energies, MDPI, vol. 11(11), pages 1-21, November.
  28. Galvin, Ray, 2015. "‘Constant’ rebound effects in domestic heating: Developing a cross-sectional method," Ecological Economics, Elsevier, vol. 110(C), pages 28-35.
  29. Csutora, Maria & Zsoka, Agnes & Harangozo, Gabor, 2021. "The Grounded Survey – An integrative mixed method for scrutinizing household energy behavior," Ecological Economics, Elsevier, vol. 182(C).
  30. Ouyang, Xiaoling & Gao, Beiying & Du, Kerui & Du, Gang, 2018. "Industrial sectors' energy rebound effect: An empirical study of Yangtze River Delta urban agglomeration," Energy, Elsevier, vol. 145(C), pages 408-416.
  31. Shujie Zhao & Qingbin Song & Chao Wang, 2019. "Characterizing the Energy-Saving Behaviors, Attitudes and Awareness of University Students in Macau," Sustainability, MDPI, vol. 11(22), pages 1-11, November.
  32. Baležentis, Tomas & Butkus, Mindaugas & Štreimikienė, Dalia & Shen, Zhiyang, 2021. "Exploring the limits for increasing energy efficiency in the residential sector of the European Union: Insights from the rebound effect," Energy Policy, Elsevier, vol. 149(C).
  33. Wang, Zhaohua & Han, Bai & Lu, Milin, 2016. "Measurement of energy rebound effect in households: Evidence from residential electricity consumption in Beijing, China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 58(C), pages 852-861.
  34. Tharinya Supasa & Shu-San Hsiau & Shih-Mo Lin & Wongkot Wongsapai & Jiunn-Chi Wu, 2017. "Household Energy Consumption Behaviour for Different Demographic Regions in Thailand from 2000 to 2010," Sustainability, MDPI, vol. 9(12), pages 1-22, December.
  35. Jin Zhang & Lianrui Ma & Jinkai Li, 2021. "Why Low-Carbon Publicity Effect Limits? The Role of Heterogeneous Intention in Reducing Household Energy Consumption," Energies, MDPI, vol. 14(22), pages 1-17, November.
  36. Inoue, Nozomu & Matsumoto, Shigeru, 2019. "An examination of losses in energy savings after the Japanese Top Runner Program?," Energy Policy, Elsevier, vol. 124(C), pages 312-319.
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.