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Residential electricity consumption after the reform of tiered pricing for household electricity in China

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  1. Jian Wang & Jin-Chun Huang & Shan-Lin Huang & Gwo-Hshiung Tzeng & Ting Zhu, 2021. "Improvement Path for Resource-Constrained Cities Identified Using an Environmental Co-Governance Assessment Framework Based on BWM-mV Model," IJERPH, MDPI, vol. 18(9), pages 1-30, May.
  2. Liu, Chang & Lin, Boqiang, 2020. "Is increasing-block electricity pricing effectively carried out in China? A case study in Shanghai and Shenzhen," Energy Policy, Elsevier, vol. 138(C).
  3. Christophe Muller & Huijie Yan, 2018. "Household Fuel Use in Rural China," Working Papers halshs-01735847, HAL.
  4. Lin, Boqiang & Chen, Yufang, 2019. "Dynamic linkages and spillover effects between CET market, coal market and stock market of new energy companies: A case of Beijing CET market in China," Energy, Elsevier, vol. 172(C), pages 1198-1210.
  5. 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.
  6. 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.
  7. Wang, Chen & Zhou, Kaile & Yang, Shanlin, 2017. "A review of residential tiered electricity pricing in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 79(C), pages 533-543.
  8. Li, Chuan-Zhong & Wei, Chu & Yu, Yang, 2020. "Income threshold, household appliance ownership and residential energy consumption in urban China," China Economic Review, Elsevier, vol. 60(C).
  9. Wu, Xin & Jiao, Dian & Liang, Kaixin & Han, Xiao, 2019. "A fast online load identification algorithm based on V-I characteristics of high-frequency data under user operational constraints," Energy, Elsevier, vol. 188(C).
  10. 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.
  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. Sun, Mei & Li, Juan & Gao, Cuixia & Han, Dun, 2017. "Identifying regime shifts in the US electricity market based on price fluctuations," Applied Energy, Elsevier, vol. 194(C), pages 658-666.
  13. Chang Liu & Boqiang Lin, 2018. "Evaluating Design of Increasing Block Tariffs for Residential Natural Gas in China: A Case Study of Henan Province," Computational Economics, Springer;Society for Computational Economics, vol. 52(4), pages 1335-1351, December.
  14. Carlos Enrique Carrasco-Gutierrez & Philipp Ehrl, 2023. "Regional Estimates of Residential Electricity Demand in Brazil," International Journal of Energy Economics and Policy, Econjournals, vol. 13(1), pages 465-476, January.
  15. Ying, Zhou & Xin-gang, Zhao & Zhen, Wang, 2020. "Demand side incentive under renewable portfolio standards: A system dynamics analysis," Energy Policy, Elsevier, vol. 144(C).
  16. Yabin Da & Bin Zeng & Jing-Li Fan & Jiawei Hu & Lanlan Li, 2023. "Heterogeneous responses to climate: evidence from residential electricity consumption," Climatic Change, Springer, vol. 176(8), pages 1-19, August.
  17. Gautam, Tej K. & Paudel, Krishna P., 2018. "Estimating sectoral demands for electricity using the pooled mean group method," Applied Energy, Elsevier, vol. 231(C), pages 54-67.
  18. Lin, Boqiang & Lan, Tianxu, 2023. "Progress of increasing-block electricity pricing policy implementation in China's first-tier cities and the impact of resident policy perception," Energy Policy, Elsevier, vol. 177(C).
  19. Wang, Yao & Lin, Boqiang, 2022. "Can energy poverty be alleviated by targeting the low income? Constructing a multidimensional energy poverty index in China," Applied Energy, Elsevier, vol. 321(C).
  20. Shi, Xinjie, 2019. "Inequality of opportunity in energy consumption in China," Energy Policy, Elsevier, vol. 124(C), pages 371-382.
  21. Lu Jiang & Xingpeng Chen & Bing Xue, 2019. "Features, Driving Forces and Transition of the Household Energy Consumption in China: A Review," Sustainability, MDPI, vol. 11(4), pages 1-20, February.
  22. 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.
  23. Weiner, Csaba & Szép, Tekla, 2021. "Még egyszer a lakossági hatósági energiaárakról. Egy hungarikum átfogó hatáselemzése [Once again on regulated residential energy prices. A comprehensive impact assessment of a hungarian measure]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(12), pages 1276-1314.
  24. Lu, Qing & Lü, Shuaikang & Leng, Yajun, 2019. "A Nash-Stackelberg game approach in regional energy market considering users’ integrated demand response," Energy, Elsevier, vol. 175(C), pages 456-470.
  25. Kusiyah Kusiyah & Mansoor Mushtaq & Shabbir Ahmed & Ansar Abbas & Mochammad Fahlevi, 2024. "Impact of Urbanization on Environmental Eminence: Moderating Role of Renewable Energy," International Journal of Energy Economics and Policy, Econjournals, vol. 14(2), pages 244-257, March.
  26. Zhang, Chi & Zhou, Kaile & Yang, Shanlin & Shao, Zhen, 2017. "On electricity consumption and economic growth in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 76(C), pages 353-368.
  27. Jiang, Lu & Xue, Bing & Xing, Ran & Chen, Xingpeng & Song, Lan & Wang, Yutao & Coffman, D’Maris & Mi, Zhifu, 2020. "Rural household energy consumption of farmers and herders in the Qinghai-Tibet Plateau," Energy, Elsevier, vol. 192(C).
  28. Meng, Ming & Wang, Lixue & Shang, Wei, 2018. "Decomposition and forecasting analysis of China's household electricity consumption using three-dimensional decomposition and hybrid trend extrapolation models," Energy, Elsevier, vol. 165(PA), pages 143-152.
  29. Kh Md Nahiduzzaman & Abdullatif Said Abdallah & Arash Moradzadeh & Amin Mohammadpour Shotorbani & Kasun Hewage & Rehan Sadiq, 2023. "Impacts of Tariffs on Energy Conscious Behavior with Respect to Household Attributes in Saudi Arabia," Energies, MDPI, vol. 16(3), pages 1-24, February.
  30. Xie, Lunyu & Yan, Haosheng & Zhang, Shuhan & Wei, Chu, 2020. "Does urbanization increase residential energy use? Evidence from the Chinese residential energy consumption survey 2012," China Economic Review, Elsevier, vol. 59(C).
  31. Athukorala, Wasantha & Wilson, Clevo & Managi, Shunsuke & Karunarathna, Muditha, 2019. "Household demand for electricity: The role of market distortions and prices in competition policy," Energy Policy, Elsevier, vol. 134(C).
  32. Viana, Matheus Sabino & Manassero, Giovanni & Udaeta, Miguel E.M., 2018. "Analysis of demand response and photovoltaic distributed generation as resources for power utility planning," Applied Energy, Elsevier, vol. 217(C), pages 456-466.
  33. Kuang, Yunming & Lin, Boqiang, 2021. "Performance of tiered pricing policy for residential natural gas in China: Does the income effect matter?," Applied Energy, Elsevier, vol. 304(C).
  34. Chunhong Sheng & Yun Cao & Bing Xue, 2018. "Residential Energy Sustainability in China and Germany: The Impact of National Energy Policy System," Sustainability, MDPI, vol. 10(12), pages 1-18, December.
  35. Sun, Chuanwang & Ouyang, Xiaoling, 2016. "Price and expenditure elasticities of residential energy demand during urbanization: An empirical analysis based on the household-level survey data in China," Energy Policy, Elsevier, vol. 88(C), pages 56-63.
  36. Sebestyénné Szép, Tekla, 2018. "A hatósági árcsökkentés lakossági energiafelhasználásra gyakorolt hatásának vizsgálata indexdekompozícióval [Analysing the effects of utility-cost reduction on household energy consumption, using i," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(2), pages 185-205.
  37. Li, Lanlan & Luo, Xuan & Zhou, Kaile & Xu, Tingting, 2018. "Evaluation of increasing block pricing for households' natural gas: A case study of Beijing, China," Energy, Elsevier, vol. 157(C), pages 162-172.
  38. Kang, J. & Reiner, D., 2021. "Identifying residential consumption patterns using data-mining techniques: A large-scale study of smart meter data in Chengdu, China," Cambridge Working Papers in Economics 2143, Faculty of Economics, University of Cambridge.
  39. Hu, Wenhao & Ho, Mun S. & Cao, Jing, 2019. "Energy consumption of urban households in China," China Economic Review, Elsevier, vol. 58(C).
  40. Ai, Wenqing & Deng, Tianhu & Qi, Wei, 2022. "Farsighted stability of distributed energy resource sharing," Applied Energy, Elsevier, vol. 326(C).
  41. Lin, Boqiang & Wang, Yao, 2020. "Analyzing the elasticity and subsidy to reform the residential electricity tariffs in China," International Review of Economics & Finance, Elsevier, vol. 67(C), pages 189-206.
  42. Wang, Xiaolei & Wei, Chunxin & Wang, Yanhua, 2022. "Does the current tiered electricity pricing structure still restrain electricity consumption in China's residential sector?," Energy Policy, Elsevier, vol. 165(C).
  43. Wu, Ya & Zhang, Li, 2017. "Evaluation of energy saving effects of tiered electricity pricing and investigation of the energy saving willingness of residents," Energy Policy, Elsevier, vol. 109(C), pages 208-217.
  44. Wang, Zhaohua & Sun, Yefei & Wang, Bo, 2020. "Policy cognition is more effective than step tariff in promoting electricity saving behaviour of residents," Energy Policy, Elsevier, vol. 139(C).
  45. Lin, Boqiang & Xu, Bin, 2018. "Growth of industrial CO2 emissions in Shanghai city: Evidence from a dynamic vector autoregression analysis," Energy, Elsevier, vol. 151(C), pages 167-177.
  46. Guo, Ji & Xu, Yuanjing & Qu, Yao & Wang, Yiting & Wu, Xianhua, 2023. "Exploring factors affecting household energy consumption in the internet era: Empirical evidence from Chinese households," Energy Policy, Elsevier, vol. 183(C).
  47. Ayertey, Winfred & Sharifi, Ayyoob & Yoshida, Yuichiro, 2024. "The impact of increase in block pricing on electricity demand responsiveness: Evidence from Ghana," Energy, Elsevier, vol. 288(C).
  48. 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.
  49. Cao, Jing & Ho, Mun Sing & Li, Yating & Newell, Richard G. & Pizer, William A., 2019. "Chinese residential electricity consumption: Estimation and forecast using micro-data," Resource and Energy Economics, Elsevier, vol. 56(C), pages 6-27.
  50. Tao Lin & Junna Yan, 2017. "Investigating the sensitivity factors of household indirect CO2 emission from the production side," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 88(2), pages 721-740, September.
  51. Wang, Yao & Lin, Boqiang, 2021. "Performance of alternative electricity prices on residential welfare in China," Energy Policy, Elsevier, vol. 153(C).
  52. Du, Mengbing & Ruan, Jianhui & Zhang, Li & Niu, Muchuan & Zhang, Zhe & Xia, Lang & Qian, Shuangyue & Chen, Chuchu, 2024. "China's local-level monthly residential electricity power consumption monitoring," Applied Energy, Elsevier, vol. 359(C).
  53. Sun, Chuanwang & Yuan, Xiang & Yao, Xin, 2016. "Social acceptance towards the air pollution in China: Evidence from public's willingness to pay for smog mitigation," Energy Policy, Elsevier, vol. 92(C), pages 313-324.
  54. 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).
  55. 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.
  56. Mi, Lingyun & Xu, Ting & Sun, Yuhuan & Yang, Hang & Wang, Bangjun & Gan, Xiaoli & Qiao, Lijie, 2021. "Promoting differentiated energy savings: Analysis of the psychological motivation of households with different energy consumption levels," Energy, Elsevier, vol. 218(C).
  57. Lin, Boqiang & Zhu, Penghu, 2021. "Has increasing block pricing policy been perceived in China? Evidence from residential electricity use," Energy Economics, Elsevier, vol. 94(C).
  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. Yuanping Wang & Weiguang Cai & Lingchun Hou & Zhaoyin Zhou & Jing Bian, 2022. "Examining the Provincial-Level Difference and Impact Factors of Urban Household Electricity Consumption in China—Based on the Extended STIRPAT Model," Sustainability, MDPI, vol. 14(16), pages 1-18, August.
  60. 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.
  61. Lin, Haiyang & Wang, Qinxing & Wang, Yu & Liu, Yiling & Sun, Qie & Wennersten, Ronald, 2017. "The energy-saving potential of an office under different pricing mechanisms – Application of an agent-based model," Applied Energy, Elsevier, vol. 202(C), pages 248-258.
  62. Sania Malik, 2021. "Residential Electricity Consumers and Increasing Block Pricing Policy in Pakistan: Evidence Based on Household Level Primary Data," Journal of Economic Impact, Science Impact Publishers, vol. 3(2), pages 80-87.
  63. Wang, Zhaohua & Zhao, Wenhui & Deng, Nana & Zhang, Bin & Wang, Bo, 2021. "Mixed data-driven decision-making in demand response management: An empirical evidence from dynamic time-warping based nonparametric-matching DID," Omega, Elsevier, vol. 100(C).
  64. Wang, Zhaohua & Li, Hao & Deng, Nana & Cheng, Kaiwei & Lu, Bin & Zhang, Bin & Wang, Bo, 2020. "How to effectively implement an incentive-based residential electricity demand response policy? Experience from large-scale trials and matching questionnaires," Energy Policy, Elsevier, vol. 141(C).
  65. Li, Chong & Zhou, Dequn & Zheng, Yuan, 2018. "Techno-economic comparative study of grid-connected PV power systems in five climate zones, China," Energy, Elsevier, vol. 165(PB), pages 1352-1369.
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