IDEAS home Printed from https://ideas.repec.org/r/eee/rensus/v30y2014icp124-132.html
   My bibliography  Save this item

Direct rebound effect on urban residential electricity use: An empirical study in China

Citations

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


Cited by:

  1. Fei, Rilong & Wang, Haolin & Wen, Zihao & Yuan, Zhen & Yuan, Kaihua & Chunga, Joseph, 2021. "Tracking factor substitution and the rebound effect of China’s agricultural energy consumption: A new research perspective from asymmetric response," Energy, Elsevier, vol. 216(C).
  2. Liu, Sijing & He, Nannan & Cao, Xindan & Li, Guoqi & Jian, Ming, 2022. "Logistics cluster and its future development: A comprehensive research review," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 168(C).
  3. Byrka, Katarzyna & Jȩdrzejewski, Arkadiusz & Sznajd-Weron, Katarzyna & Weron, Rafał, 2016. "Difficulty is critical: The importance of social factors in modeling diffusion of green products and practices," Renewable and Sustainable Energy Reviews, Elsevier, vol. 62(C), pages 723-735.
  4. Martín Bordón Lesme & Jaume Freire-González & Emilio Padilla Rosa, 2021. "The direct rebound effect for two income groups: The case of Paraguay," Working Papers wpdea2103, Department of Applied Economics at Universitat Autonoma of Barcelona.
  5. Galvin, Ray & Dütschke, Elisabeth & Weiß, Julika, 2021. "A conceptual framework for understanding rebound effects with renewable electricity: A new challenge for decarbonizing the electricity sector," Renewable Energy, Elsevier, vol. 176(C), pages 423-432.
  6. Lin Fang & Fengping Wu & Yantuan Yu & Lin Zhang, 2020. "Irrigation technology and water rebound in China's agricultural sector," Journal of Industrial Ecology, Yale University, vol. 24(5), pages 1088-1100, October.
  7. Wen, Fenghua & Ye, Zhengke & Yang, Huaidong & Li, Ke, 2018. "Exploring the rebound effect from the perspective of household: An analysis of China's provincial level," Energy Economics, Elsevier, vol. 75(C), pages 345-356.
  8. Lin, Boqiang & Li, Jianglong, 2014. "The rebound effect for heavy industry: Empirical evidence from China," Energy Policy, Elsevier, vol. 74(C), pages 589-599.
  9. Liu, Jingru & Sun, Xin & Lu, Bin & Zhang, Yunkun & Sun, Rui, 2016. "The life cycle rebound effect of air-conditioner consumption in China," Applied Energy, Elsevier, vol. 184(C), pages 1026-1032.
  10. Lin, Boqiang & Zhu, Runqing, 2022. "How does market-oriented reform influence the rebound effect of China’s mining industry?," Economic Analysis and Policy, Elsevier, vol. 74(C), pages 34-44.
  11. Rabindra Nepal, Muhammad Indra al Irsyad, and Tooraj Jamasb, 2021. "Sectoral Electricity Demand and Direct Rebound Effects in New Zealand," The Energy Journal, International Association for Energy Economics, vol. 0(Number 4).
  12. Kim, Jae D. & Trevena, William, 2021. "Measuring the rebound effect: A case study of residential photovoltaic systems in San Diego," Utilities Policy, Elsevier, vol. 69(C).
  13. Belaïd, Fateh & Youssef, Adel Ben & Lazaric, Nathalie, 2020. "Scrutinizing the direct rebound effect for French households using quantile regression and data from an original survey," Ecological Economics, Elsevier, vol. 176(C).
  14. Ying Han & Jianhua Shi & Yuanfan Yang & Yaxin Wang, 2019. "Direct Rebound Effect for Electricity Consumption of Urban Residents in China Based on the Spatial Spillover Effect," Energies, MDPI, vol. 12(11), pages 1-16, May.
  15. Martín Bordon Lesme & Jaume Freire-González & Emilio Padilla Rosa, 2020. "The Direct Rebound Effect of Electricity Energy Services in Spanish Households: Evidence from Error Correction Model and System GMM estimates," Working Papers wpdea2002, Department of Applied Economics at Universitat Autonoma of Barcelona.
  16. Wang, Zhaohua & Lu, Milin, 2014. "An empirical study of direct rebound effect for road freight transport in China," Applied Energy, Elsevier, vol. 133(C), pages 274-281.
  17. 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.
  18. 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).
  19. 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.
  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. 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.
  22. Vélez-Henao, Johan-Andrés & García-Mazo, Claudia-Maria & Freire-González, Jaume & Vivanco, David Font, 2020. "Environmental rebound effect of energy efficiency improvements in Colombian households," Energy Policy, Elsevier, vol. 145(C).
  23. Shichun Xu & Yongmei Miao & Yiwen Li & Yifeng Zhou & Xiaoxue Ma & Zhengxia He & Bin Zhao & Shuxiao Wang, 2019. "What Factors Drive Air Pollutants in China? An Analysis from the Perspective of Regional Difference Using a Combined Method of Production Decomposition Analysis and Logarithmic Mean Divisia Index," Sustainability, MDPI, vol. 11(17), pages 1-19, August.
  24. Fournier, Eric D. & Federico, Felicia & Porse, Erik & Pincetl, Stephanie, 2019. "Effects of building size growth on residential energy efficiency and conservation in California," Applied Energy, Elsevier, vol. 240(C), pages 446-452.
  25. Brand, Bernhard & Missaoui, Rafik, 2014. "Multi-criteria analysis of electricity generation mix scenarios in Tunisia," Renewable and Sustainable Energy Reviews, Elsevier, vol. 39(C), pages 251-261.
  26. Ming Meng & Shucheng Wu & Jin Zhou & Xinfang Wang, 2019. "What is Currently Driving the Growth of China’s Household Electricity Consumption? A Clustering and Decomposition Analysis," Sustainability, MDPI, vol. 11(17), pages 1-14, August.
  27. Apergis, Nicholas & Chang, Tsangyao & Gupta, Rangan & Ziramba, Emmanuel, 2016. "Hydroelectricity consumption and economic growth nexus: Evidence from a panel of ten largest hydroelectricity consumers," Renewable and Sustainable Energy Reviews, Elsevier, vol. 62(C), pages 318-325.
  28. 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).
  29. Fernandez, E. & Albizu, I. & Bedialauneta, M.T. & Mazon, A.J. & Leite, P.T., 2016. "Review of dynamic line rating systems for wind power integration," Renewable and Sustainable Energy Reviews, Elsevier, vol. 53(C), pages 80-92.
  30. Park, Sungjun & Kim, Jinsoo, 2018. "The effect of interest in renewable energy on US household electricity consumption: An analysis using Google Trends data," Renewable Energy, Elsevier, vol. 127(C), pages 1004-1010.
  31. Jones, Rory V. & Fuertes, Alba & Lomas, Kevin J., 2015. "The socio-economic, dwelling and appliance related factors affecting electricity consumption in domestic buildings," Renewable and Sustainable Energy Reviews, Elsevier, vol. 43(C), pages 901-917.
  32. Mata, Érika & Wanemark, Joel & Nik, Vahid M. & Sasic Kalagasidis, Angela, 2019. "Economic feasibility of building retrofitting mitigation potentials: Climate change uncertainties for Swedish cities," Applied Energy, Elsevier, vol. 242(C), pages 1022-1035.
  33. Li, Jianglong & Li, Aijun & Xie, Xuan, 2018. "Rebound effect of transportation considering additional capital costs and input-output relationships: The role of subsistence consumption and unmet demand," Energy Economics, Elsevier, vol. 74(C), pages 441-455.
  34. 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.
  35. Cui, Yin & Li, Zhiyong & Sun, Yu & Sun, Weizheng, 2023. "Environmental performance of an urban passenger transport system and influencing factors: A case study of Tianjin, China," Utilities Policy, Elsevier, vol. 80(C).
  36. 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.
  37. Jun Yang & Yongmei Miao & Yunfan Li & Yiwen Li & Xiaoxue Ma & Shichun Xu & Shuxiao Wang, 2019. "Decomposition Analysis of Factors that Drive the Changes of Major Air Pollutant Emissions in China at a Multi-Regional Level," Sustainability, MDPI, vol. 11(24), pages 1-22, December.
  38. Antonakakis, Nikolaos & Chatziantoniou, Ioannis & Filis, George, 2017. "Energy consumption, CO2 emissions, and economic growth: An ethical dilemma," Renewable and Sustainable Energy Reviews, Elsevier, vol. 68(P1), pages 808-824.
  39. 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).
  40. 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).
  41. Lu, Yingying & Liu, Yu & Zhou, Meifang, 2017. "Rebound effect of improved energy efficiency for different energy types: A general equilibrium analysis for China," Energy Economics, Elsevier, vol. 62(C), pages 248-256.
  42. 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).
  43. Hu, Junjie & Morais, Hugo & Sousa, Tiago & Lind, Morten, 2016. "Electric vehicle fleet management in smart grids: A review of services, optimization and control aspects," Renewable and Sustainable Energy Reviews, Elsevier, vol. 56(C), pages 1207-1226.
  44. Cui, Qiang & Li, Ye, 2015. "An empirical study on the influencing factors of transportation carbon efficiency: Evidences from fifteen countries," Applied Energy, Elsevier, vol. 141(C), pages 209-217.
  45. Wei, Jia & Chen, Hong & Cui, Xiaotong & Long, Ruyin, 2016. "Carbon capability of urban residents and its structure: Evidence from a survey of Jiangsu Province in China," Applied Energy, Elsevier, vol. 173(C), pages 635-649.
  46. 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.
  47. 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).
  48. Stringer, Thomas & Joanis, Marcelin & Abdoli, Shiva, 2024. "Power generation mix and electricity price," Renewable Energy, Elsevier, vol. 221(C).
  49. 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).
  50. Estrella Trincado & Antonio Sánchez-Bayón & José María Vindel, 2021. "The European Union Green Deal: Clean Energy Wellbeing Opportunities and the Risk of the Jevons Paradox," Energies, MDPI, vol. 14(14), pages 1-23, July.
  51. Jiandong Chen & Ming Gao & Ke Ma & Malin Song, 2020. "Different effects of technological progress on China's carbon emissions based on sustainable development," Business Strategy and the Environment, Wiley Blackwell, vol. 29(2), pages 481-492, February.
  52. Jaehn, Florian & Meissner, Finn, 2022. "The rebound effect in transportation," Omega, Elsevier, vol. 108(C).
  53. Du, Gang & Lin, Wei & Sun, Chuanwang & Zhang, Dingzhong, 2015. "Residential electricity consumption after the reform of tiered pricing for household electricity in China," Applied Energy, Elsevier, vol. 157(C), pages 276-283.
  54. Wang, Lijun & Zha, Donglan & O’Mahony, Tadhg & Zhou, Dequn, 2023. "Energy efficiency lags and welfare boons: Understanding the rebound and welfare effects through China's urban households," Renewable and Sustainable Energy Reviews, Elsevier, vol. 188(C).
  55. Nejat, Payam & Jomehzadeh, Fatemeh & Taheri, Mohammad Mahdi & Gohari, Mohammad & Abd. Majid, Muhd Zaimi, 2015. "A global review of energy consumption, CO2 emissions and policy in the residential sector (with an overview of the top ten CO2 emitting countries)," Renewable and Sustainable Energy Reviews, Elsevier, vol. 43(C), pages 843-862.
  56. Kearns, Ade & Whitley, Elise & Curl, Angela, 2019. "Occupant behaviour as a fourth driver of fuel poverty (aka warmth & energy deprivation)," Energy Policy, Elsevier, vol. 129(C), pages 1143-1155.
  57. Belaïd, Fateh & Bakaloglou, Salomé & Roubaud, David, 2018. "Direct rebound effect of residential gas demand: Empirical evidence from France," Energy Policy, Elsevier, vol. 115(C), pages 23-31.
  58. Li, Mingquan & Shan, Rui & Hernandez, Mauricio & Mallampalli, Varun & Patiño-Echeverri, Dalia, 2019. "Effects of population, urbanization, household size, and income on electric appliance adoption in the Chinese residential sector towards 2050," Applied Energy, Elsevier, vol. 236(C), pages 293-306.
  59. 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.
  60. 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).
  61. Shichun Xu & Wenwen Zhang & Qinbin Li & Bin Zhao & Shuxiao Wang & Ruyin Long, 2017. "Decomposition Analysis of the Factors that Influence Energy Related Air Pollutant Emission Changes in China Using the SDA Method," Sustainability, MDPI, vol. 9(10), pages 1-18, September.
  62. Lin, Boqiang & Atsagli, Philip & Dogah, Kingsley E., 2016. "Ghanaian energy economy: Inter-production factors and energy substitution," Renewable and Sustainable Energy Reviews, Elsevier, vol. 57(C), pages 1260-1269.
  63. Lin, Boqiang & Wang, Xiaolei, 2015. "Carbon emissions from energy intensive industry in China: Evidence from the iron & steel industry," Renewable and Sustainable Energy Reviews, Elsevier, vol. 47(C), pages 746-754.
  64. 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.
  65. Mustafa NaimoÄŸlu & Ä°smail Kavaz, 2023. "Energy use tendencies in a resource-abundant country: the case of Canada," Insights into Regional Development, VsI Entrepreneurship and Sustainability Center, vol. 5(4), pages 65-79, December.
  66. Figge, Frank & Thorpe, Andrea Stevenson, 2019. "The symbiotic rebound effect in the circular economy," Ecological Economics, Elsevier, vol. 163(C), pages 61-69.
  67. 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).
  68. Möller, Jasmin & Daschkovska, Kateryna & Bogaschewsky, Ronald, 2019. "Sustainable city logistics: rebound effects from self-driving vehicles," Chapters from the Proceedings of the Hamburg International Conference of Logistics (HICL), in: Jahn, Carlos & Kersten, Wolfgang & Ringle, Christian M. (ed.), Digital Transformation in Maritime and City Logistics: Smart Solutions for Logistics. Proceedings of the Hamburg International Conference of Logistics, volume 28, pages 299-337, Hamburg University of Technology (TUHH), Institute of Business Logistics and General Management.
  69. Milin Lu & Zhaohua Wang, 2017. "Rebound effects for residential electricity use in urban China: an aggregation analysis based E-I-O and scenario simulation," Annals of Operations Research, Springer, vol. 255(1), pages 525-546, August.
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.