IDEAS home Printed from https://ideas.repec.org/r/eee/eneeco/v49y2015icp599-609.html
   My bibliography  Save this item

A new approach to measuring the rebound effect associated to energy efficiency improvements: An application to the US residential energy demand

Citations

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


Cited by:

  1. Bruns, Stephan B. & Moneta, Alessio & Stern, David I., 2021. "Estimating the economy-wide rebound effect using empirically identified structural vector autoregressions," Energy Economics, Elsevier, vol. 97(C).
  2. Amjadi, Golnaz & Lundgren, Tommy & Persson, Lars, 2018. "The Rebound Effect in Swedish Heavy Industry," Energy Economics, Elsevier, vol. 71(C), pages 140-148.
  3. Klára Čermáková & Eduard Hromada, 2022. "Change in the Affordability of Owner-Occupied Housing in the Context of Rising Energy Prices," Energies, MDPI, vol. 15(4), pages 1-18, February.
  4. Liu, Yunqiang & Ye, Deping & Liu, Sha & Wang, Fang & Zeng, Hui & Tang, Hong, 2024. "Whether the agricultural energy rebound offsets the governance effectiveness of the China's natural resource audit policy?," Renewable and Sustainable Energy Reviews, Elsevier, vol. 189(PA).
  5. Yuo-Hsien Shiau & Su-Fen Yang & Rishan Adha & Syamsiyatul Muzayyanah, 2022. "Modeling Industrial Energy Demand in Relation to Subsector Manufacturing Output and Climate Change: Artificial Neural Network Insights," Sustainability, MDPI, vol. 14(5), pages 1-18, March.
  6. Anna Dahlqvist & Tommy Lundgren & Per-Olov Marklund, 2021. "The Rebound Effect in Energy-Intensive Industries:A Factor Demand Model with Asymmetric Price Response," The Energy Journal, , vol. 42(3), pages 177-204, May.
  7. J. Wesley Burnett and Jessica Madariaga, 2018. "A Top-Down Economic Efficiency Analysis of U.S. Household Energy Consumption," The Energy Journal, International Association for Energy Economics, vol. 0(Number 4).
  8. Zhou, Meifang & Liu, Yu & Feng, Shenghao & Liu, Yang & Lu, Yingying, 2018. "Decomposition of rebound effect: An energy-specific, general equilibrium analysis in the context of China," Applied Energy, Elsevier, vol. 221(C), pages 280-298.
  9. Zhang, Yue-Jun & Peng, Hua-Rong, 2017. "Exploring the direct rebound effect of residential electricity consumption: An empirical study in China," Applied Energy, Elsevier, vol. 196(C), pages 132-141.
  10. Mark A. Andor & David H. Bernstein & Stephan Sommer, 2021. "Determining the efficiency of residential electricity consumption," Empirical Economics, Springer, vol. 60(6), pages 2897-2923, June.
  11. Adha, Rishan & Hong, Cheng-Yih & Firmansyah, M. & Paranata, Ade, 2021. "Rebound effect with energy efficiency determinants: a two-stage analysis of residential electricity consumption in Indonesia," MPRA Paper 110444, University Library of Munich, Germany.
  12. Lin, Boqiang & Zhu, Penghu, 2021. "Measurement of the direct rebound effect of residential electricity consumption: An empirical study based on the China family panel studies," Applied Energy, Elsevier, vol. 301(C).
  13. Wenjie Zhang & Hongping Yuan, 2019. "Promoting Energy Performance Contracting for Achieving Urban Sustainability: What is the Research Trend?," Energies, MDPI, vol. 12(8), pages 1-18, April.
  14. 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).
  15. Llorca, Manuel & Rodriguez-Alvarez, Ana & Jamasb, Tooraj, 2020. "Objective vs. subjective fuel poverty and self-assessed health," Energy Economics, Elsevier, vol. 87(C).
  16. 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.
  17. Filippini, Massimo & Hunt, Lester C., 2015. "Measurement of energy efficiency based on economic foundations," Energy Economics, Elsevier, vol. 52(S1), pages 5-16.
  18. 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).
  19. Bakaloglou, Salomé & Charlier, Dorothée, 2021. "The role of individual preferences in explaining the energy performance gap," Energy Economics, Elsevier, vol. 104(C).
  20. Llorca, Manuel & Jamasb, Tooraj, 2017. "Energy efficiency and rebound effect in European road freight transport," Transportation Research Part A: Policy and Practice, Elsevier, vol. 101(C), pages 98-110.
  21. Alberto Gude & Inmaculada Álvarez & Luis Orea, 2018. "Heterogeneous spillovers among Spanish provinces: a generalized spatial stochastic frontier model," Journal of Productivity Analysis, Springer, vol. 50(3), pages 155-173, December.
  22. Li, Guohao & Niu, Miaomiao & Xiao, Jin & Wu, Jiaqian & Li, Jinkai, 2023. "The rebound effect of decarbonization in China’s power sector under the carbon trading scheme," Energy Policy, Elsevier, vol. 177(C).
  23. Yael Nidam & Ali Irani & Jamie Bemis & Christoph Reinhart, 2023. "Census-based urban building energy modeling to evaluate the effectiveness of retrofit programs," Environment and Planning B, , vol. 50(9), pages 2394-2406, November.
  24. Berner, Anne & Lange, Steffen & Silbersdorff, Alexander, 2022. "Firm-level energy rebound effects and relative efficiency in the German manufacturing sector," Energy Economics, Elsevier, vol. 109(C).
  25. Otsuka, Akihiro, 2023. "Industrial electricity consumption efficiency and energy policy in Japan," Utilities Policy, Elsevier, vol. 81(C).
  26. Orea, Luis, 2019. "The Econometric Measurement of Firms’ Efficiency," Efficiency Series Papers 2019/02, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
  27. 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.
  28. Akihiro Otsuka, 2023. "Stochastic demand frontier analysis of residential electricity demands in Japan," Asia-Pacific Journal of Regional Science, Springer, vol. 7(1), pages 179-195, March.
  29. 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).
  30. Yan, Zheming & Ouyang, Xiaoling & Du, Kerui, 2019. "Economy-wide estimates of energy rebound effect: Evidence from China's provinces," Energy Economics, Elsevier, vol. 83(C), pages 389-401.
  31. Ohler, Adrienne M. & Loomis, David G. & Ilves, Kadi, 2020. "A study of electricity savings from energy star appliances using household survey data," Energy Policy, Elsevier, vol. 144(C).
  32. Rishan Adha & Cheng-Yih Hong & Somya Agrawal & Li-Hua Li, 2023. "ICT, carbon emissions, climate change, and energy demand nexus: The potential benefit of digitalization in Taiwan," Energy & Environment, , vol. 34(5), pages 1619-1638, August.
  33. Rabindra Nepal & Muhammad Indra al Irsyad & Tooraj Jamasb, 2021. "Sectoral Electricity Demand and Direct Rebound Effects inNew Zealand," The Energy Journal, , vol. 42(4), pages 153-174, July.
  34. Taoyuan Wei & Xue Wang, 2020. "Rebound Effect from Income Savings Due to an Energy Efficiency Improvement by Households: An Input–Output Approach," Energies, MDPI, vol. 13(16), pages 1-10, August.
  35. Calvin Nsangou, Jean & Kenfack, Joseph & Nzotcha, Urbain & Tamo, Thomas Tatietse, 2020. "Assessment of the potential for electricity savings in households in Cameroon: A stochastic frontier approach," Energy, Elsevier, vol. 211(C).
  36. Ricardo F. Díaz & Blanca Sanchez-Robles, 2020. "Non-Parametric Analysis of Efficiency: An Application to the Pharmaceutical Industry," Mathematics, MDPI, vol. 8(9), pages 1-27, September.
  37. Kerui Du, Shuai Shao, and Zheming Yan, 2021. "Urban Residential Energy Demand and Rebound Effect in China: A Stochastic Energy Demand Frontier Approach," The Energy Journal, International Association for Energy Economics, vol. 0(Number 4).
  38. Giovanni Forchini & Raoul Theler, 2023. "Semi-parametric modelling of inefficiencies in stochastic frontier analysis," Journal of Productivity Analysis, Springer, vol. 59(2), pages 135-152, April.
  39. Olexandr Yemelyanov & Anastasiya Symak & Tetyana Petrushka & Olena Zahoretska & Myroslava Kusiy & Roman Lesyk & Lilia Lesyk, 2019. "Changes in Energy Consumption, Economic Growth and Aspirations for Energy Independence: Sectoral Analysis of Uses of Natural Gas in Ukrainian Economy," Energies, MDPI, vol. 12(24), pages 1-34, December.
  40. 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.
  41. Brockway, Paul E. & Sorrell, Steve & Semieniuk, Gregor & Heun, Matthew Kuperus & Court, Victor, 2021. "Energy efficiency and economy-wide rebound effects: A review of the evidence and its implications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 141(C).
  42. Cansino, José M. & Ordóñez, Manuel & Prieto, Manuela, 2022. "Decomposition and measurement of the rebound effect: The case of energy efficiency improvements in Spain," Applied Energy, Elsevier, vol. 306(PA).
  43. Berner, Anne & Bruns, Stephan & Moneta, Alessio & Stern, David I., 2022. "Do energy efficiency improvements reduce energy use? Empirical evidence on the economy-wide rebound effect in Europe and the United States," Energy Economics, Elsevier, vol. 110(C).
  44. Stern, David I., 2020. "How large is the economy-wide rebound effect?," Energy Policy, Elsevier, vol. 147(C).
  45. Cécile Hediger, 2022. "Rebound effects in residential heating: How much does an extra degree matter?," IRENE Working Papers 22-05, IRENE Institute of Economic Research.
  46. Zhang, Yue-Jun & Peng, Hua-Rong & Liu, Zhao & Tan, Weiping, 2015. "Direct energy rebound effect for road passenger transport in China: A dynamic panel quantile regression approach," Energy Policy, Elsevier, vol. 87(C), pages 303-313.
  47. Manuel Llorca & Jose Banos & Somoza Jose & Pelayo Arbues, 2017. "A Stochastic Frontier Analysis Approach for Estimating Energy Demand and Efficiency in the Transport Sector of Latin America and the Caribbean," The Energy Journal, , vol. 38(5), pages 153-174, September.
  48. 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).
  49. Yuan, Zhen & Xu, Jie & Li, Bing & Yao, Tingting, 2022. "Limits of technological progress in controlling energy consumption: Evidence from the energy rebound effects across China's industrial sector," Energy, Elsevier, vol. 245(C).
  50. Soares, N. & Bastos, J. & Pereira, L. Dias & Soares, A. & Amaral, A.R. & Asadi, E. & Rodrigues, E. & Lamas, F.B. & Monteiro, H. & Lopes, M.A.R. & Gaspar, A.R., 2017. "A review on current advances in the energy and environmental performance of buildings towards a more sustainable built environment," Renewable and Sustainable Energy Reviews, Elsevier, vol. 77(C), pages 845-860.
  51. 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).
  52. Miao, Zhuang & Chen, Xiaodong, 2022. "Combining parametric and non-parametric approach, variable & source -specific productivity changes and rebound effect of energy & environment," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
  53. Zhuang, Mufan & Gao, Ziyan & Geng, Yong & Xiao, Shijiang, 2022. "Spatial distribution pattern of embodied natural resources use in China and its relationship with socioeconomic development: From an exergetic perspective," Resources Policy, Elsevier, vol. 79(C).
  54. Khoshkalam Khosroshahi, Musa & Sayadi, Mohammad, 2020. "Tracking the sources of rebound effect resulting from the efficiency improvement in petrol, diesel, natural gas and electricity consumption; A CGE analysis for Iran," Energy, Elsevier, vol. 197(C).
  55. Charlier, Dorothée, 2021. "Explaining the energy performance gap in buildings with a latent profile analysis," Energy Policy, Elsevier, vol. 156(C).
  56. Zhu, Yuke & Lan, Mudan, 2023. "Digital economy and carbon rebound effect: Evidence from Chinese cities," Energy Economics, Elsevier, vol. 126(C).
  57. Sondes Kahouli & Xavier Pautrel, 2020. "Residential and Industrial Energy Efficiency Improvement: A Dynamic General Equilibrium Analysis of the Rebound Effect," Working Papers 2020.28, Fondazione Eni Enrico Mattei.
  58. Kahouli, Sondes & Pautrel, Xavier, 2020. "Residential and Industrial Energy Efficiency Improvement: A Dynamic General Equilibrium Analysis of the Rebound Effect," FEP: Future Energy Program 308024, Fondazione Eni Enrico Mattei (FEEM) > FEP: Future Energy Program.
  59. Sonds Kahouli & Xavier Pautrel, 2023. "Residential and Industrial Energy Efficiency Improvements: A Dynamic General Equilibrium Analysis of the Rebound Effect," The Energy Journal, , vol. 44(3), pages 23-63, May.
  60. Dahlqvist, Anna & Lundgren, Tommy & Marklund, Per-Olov, 2017. "Assessing the Rebound Effect in Energy Intensive Industries: A Factor Demand Model Approach with Asymmetric Price Response," Working Papers 150, National Institute of Economic Research.
  61. 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).
  62. Li, Ke & Zhang, Ning & Liu, Yanchu, 2016. "The energy rebound effects across China’s industrial sectors: An output distance function approach," Applied Energy, Elsevier, vol. 184(C), pages 1165-1175.
  63. Meng, Ming & Li, Xinxin, 2022. "Evaluating the direct rebound effect of electricity consumption: An empirical analysis of the provincial level in China," Energy, Elsevier, vol. 239(PB).
  64. 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).
  65. Jin, Taeyoung & Kim, Jinsoo, 2019. "A new approach for assessing the macroeconomic growth energy rebound effect," Applied Energy, Elsevier, vol. 239(C), pages 192-200.
  66. Wenjie Zhang & Hongping Yuan, 2019. "A Bibliometric Analysis of Energy Performance Contracting Research from 2008 to 2018," Sustainability, MDPI, vol. 11(13), pages 1-23, June.
  67. Marin, Giovanni & Palma, Alessandro, 2017. "Technology invention and adoption in residential energy consumption," Energy Economics, Elsevier, vol. 66(C), pages 85-98.
  68. Olexandr Yemelyanov & Anastasiya Symak & Tetyana Petrushka & Olena Vovk & Oksana Ivanytska & Dmytro Symak & Anatolii Havryliak & Taras Danylovych & Lilia Lesyk, 2021. "Criteria, Indicators, and Factors of the Sustainable Energy-Saving Economic Development: The Case of Natural Gas Consumption," Energies, MDPI, vol. 14(18), pages 1-27, September.
  69. Dorothée Charlier, 2021. "Explaining the energy performance gap in buildings with a latent profile analysis," Post-Print hal-03894155, HAL.
  70. Boogen, Nina, 2017. "Estimating the potential for electricity savings in households," Energy Economics, Elsevier, vol. 63(C), pages 288-300.
  71. Thomas Weyman-Jones & Júlia Mendonça Boucinha, 2024. "Behavioral Efficiency and Residential Electricity Consumption: A Microdata Study," Sustainability, MDPI, vol. 16(15), pages 1-34, August.
  72. Amjadi, Golnaz, 2020. "Essays on Energy Efficiency, Environmental Regulation and Labor Demand in Swedish Industry," Umeå Economic Studies 982, Umeå University, Department of Economics.
  73. 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).
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.