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Electricity tariff reform and rebound effect of residential electricity consumption in China

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  1. 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.
  2. Jing Liang & Yueming Qiu & Bo Xing, 2021. "Social Versus Private Benefits of Energy Efficiency Under Time-of-Use and Increasing Block Pricing," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 78(1), pages 43-75, January.
  3. 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.
  4. 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).
  5. Proskuryakova, Liliana & Starodubtseva, Alena & Bianco, Vincenzo, 2020. "Modelling a household tariff for reducing sectoral cross-subsidies in the Russian power market," Energy, Elsevier, vol. 213(C).
  6. Zhang, Yue-Jun & Liu, Zhao & Zhou, Si-Ming & Qin, Chang-Xiong & Zhang, Huan, 2018. "The impact of China's Central Rise Policy on carbon emissions at the stage of operation in road sector," Economic Modelling, Elsevier, vol. 71(C), pages 159-173.
  7. Li, Yao & Fan, Jin & Zhao, Dingtao & Wu, Yanrui & Li, Jun, 2016. "Tiered gasoline pricing: A personal carbon trading perspective," Energy Policy, Elsevier, vol. 89(C), pages 194-201.
  8. Lin, Boqiang & Huang, Chenchen, 2023. "Promoting variable renewable energy integration: The moderating effect of digitalization," Applied Energy, Elsevier, vol. 337(C).
  9. 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).
  10. 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.
  11. Lin, Boqiang & Chen, Yufang, 2019. "Does electricity price matter for innovation in renewable energy technologies in China?," Energy Economics, Elsevier, vol. 78(C), pages 259-266.
  12. Uddin, Main & Wang, Liang Choon & Smyth, Russell, 2021. "Do government-initiated energy comparison sites encourage consumer search and lower prices? Evidence from an online randomized controlled experiment in Australia," Journal of Economic Behavior & Organization, Elsevier, vol. 188(C), pages 167-182.
  13. 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).
  14. Yang, Lisha & Li, Zhi, 2017. "Technology advance and the carbon dioxide emission in China – Empirical research based on the rebound effect," Energy Policy, Elsevier, vol. 101(C), pages 150-161.
  15. Haider, Haider Tarish & See, Ong Hang & Elmenreich, Wilfried, 2016. "Residential demand response scheme based on adaptive consumption level pricing," Energy, Elsevier, vol. 113(C), pages 301-308.
  16. Zhang, Wenbin & Tian, Lixin & Wang, Minggang & Zhen, Zaili & Fang, Guochang, 2016. "The evolution model of electricity market on the stable development in China and its dynamic analysis," Energy, Elsevier, vol. 114(C), pages 344-359.
  17. 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).
  18. Yang, Changhui & Meng, Chen & Zhou, Kaile, 2018. "Residential electricity pricing in China: The context of price-based demand response," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P2), pages 2870-2878.
  19. Solaymani, Saeed & Kardooni, Roozbeh & Yusoff, Sumiani Binti & Kari, Fatimah, 2015. "The impacts of climate change policies on the transportation sector," Energy, Elsevier, vol. 81(C), pages 719-728.
  20. Du, Gang & Sun, Chuanwang & Fang, Zhongnan, 2015. "Evaluating the Atkinson index of household energy consumption in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 51(C), pages 1080-1087.
  21. Wenchao Li & Lingyu Xu & Jian Xu & Ostic Dragana, 2022. "Carbon Reduction Effect of Green Technology Innovation from the Perspective of Energy Consumption and Efficiency," Sustainability, MDPI, vol. 14(21), pages 1-16, October.
  22. He, Yongxiu & Liu, Yangyang & Wang, Jianhui & Xia, Tian & Zhao, Yushan, 2014. "Low-carbon-oriented dynamic optimization of residential energy pricing in China," Energy, Elsevier, vol. 66(C), pages 610-623.
  23. Arisoy, Ibrahim & Ozturk, Ilhan, 2014. "Estimating industrial and residential electricity demand in Turkey: A time varying parameter approach," Energy, Elsevier, vol. 66(C), pages 959-964.
  24. Lin, Boqiang & Wang, Chonghao, 2023. "Does industrial relocation affect regional carbon intensity? Evidence from China's secondary industry," Energy Policy, Elsevier, vol. 173(C).
  25. Chen, Yu & Lin, Boqiang, 2022. "Are consumers in China’s major cities happy with charging infrastructure for electric vehicles?," Applied Energy, Elsevier, vol. 327(C).
  26. Yang, Lisha & Li, Jianglong, 2017. "Rebound effect in China: Evidence from the power generation sector," Renewable and Sustainable Energy Reviews, Elsevier, vol. 71(C), pages 53-62.
  27. 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.
  28. 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.
  29. 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.
  30. 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.
  31. Filipović, Sanja & Verbič, Miroslav & Radovanović, Mirjana, 2015. "Determinants of energy intensity in the European Union: A panel data analysis," Energy, Elsevier, vol. 92(P3), pages 547-555.
  32. Chen, Qian & Zha, Donglan & Salman, Muhammad, 2022. "The influence of carbon tax on CO2 rebound effect and welfare in Chinese households," Energy Policy, Elsevier, vol. 168(C).
  33. Wang, Xia & Ding, Chao & Cai, Weiguang & Luo, Lizi & Chen, Mingman, 2021. "Identifying household cooling savings potential in the hot summer and cold winter climate zone in China: A stochastic demand frontier approach," Energy, Elsevier, vol. 237(C).
  34. Lin, Boqiang & Huang, Chenchen, 2023. "How will promoting the digital economy affect electricity intensity?," Energy Policy, Elsevier, vol. 173(C).
  35. Khanna, Nina Zheng & Guo, Jin & Zheng, Xinye, 2016. "Effects of demand side management on Chinese household electricity consumption: Empirical findings from Chinese household survey," Energy Policy, Elsevier, vol. 95(C), pages 113-125.
  36. Zeng, Ming & Yang, Yongqi & Fan, Qiannan & Liu, Yingxin & Zou, Zhuojun, 2015. "Coordination between clean energy generation and thermal power generation under the policy of “direct power-purchase for large users” in China," Utilities Policy, Elsevier, vol. 33(C), pages 10-22.
  37. 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).
  38. Verbič, Miroslav & Filipović, Sanja & Radovanović, Mirjana, 2017. "Electricity prices and energy intensity in Europe," Utilities Policy, Elsevier, vol. 47(C), pages 58-68.
  39. 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).
  40. 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.
  41. Ding, Qingguo & Wang, Jianxiao & Zhang, Bing & Yu, Yang, 2023. "Economic burden of China's fairness regulations on power generation sector," Energy, Elsevier, vol. 278(C).
  42. 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).
  43. Lin, Boqiang & Chen, Xing, 2018. "Is the implementation of the Increasing Block Electricity Prices policy really effective?--- Evidence based on the analysis of synthetic control method," Energy, Elsevier, vol. 163(C), pages 734-750.
  44. Wu, Rongxin & Tan, Zhizhou & Lin, Boqiang, 2023. "Does carbon emission trading scheme really improve the CO2 emission efficiency? Evidence from China's iron and steel industry," Energy, Elsevier, vol. 277(C).
  45. 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.
  46. Ni Lei & Lanyun Chen & Chuanwang Sun & Yuan Tao, 2018. "Electricity Market Creation in China: Policy Options from Political Economics Perspective," Sustainability, MDPI, vol. 10(5), pages 1-15, May.
  47. Fu, Xin & Zeng, Xiao-Jun & Feng, Pengpeng & Cai, Xiuwen, 2018. "Clustering-based short-term load forecasting for residential electricity under the increasing-block pricing tariffs in China," Energy, Elsevier, vol. 165(PB), pages 76-89.
  48. Fan, Ruguo & Luo, Ming & Zhang, Pengfei, 2016. "A study on evolution of energy intensity in China with heterogeneity and rebound effect," Energy, Elsevier, vol. 99(C), pages 159-169.
  49. 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.
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