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Exploring the drivers and influencing mechanisms of urban household electricity consumption in China - Based on longitudinal data at the provincial level

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  • Wang, Yuanping
  • Hou, Lingchun
  • Cai, Weiguang
  • Zhou, Zhaoyin
  • Bian, Jing

Abstract

Urban household Electricity Consumption (UHEC) is receiving more and more attention in terms of energy saving and emission reduction. Currently, China lacks a mature methodology to explore the impacts and mechanisms of UHEC. This study selects physical characteristics, usage, and equipment factors associated with urban domestic dwellings to address these issues to develop an adequate theoretical model. The extended STIRPAT model was used to explore how each factor affects UHEC. Stepwise regression was then used to identify the mechanisms of influence between each factor and UHEC and to investigate the direct and mediating effects between floor area and UHEC. The results show that floor area, urbanization rate, the proportion of older people, per capita income, and unit energy consumption significantly contribute to UHEC. The direct effect of floor area on UHEC reaches 13.5%. GDP per capita and urbanization rate have a strong mediating role, at 47.8% and 28.1%, respectively, and the mediating contribution of unit energy consumption is 11.8%. A more novel factor, namely single-person households, shows a significant masking effect. In summary, this study is cutting-edge and provides a scientific decision and basis for developing household electricity-saving strategies in China and the world.

Suggested Citation

  • Wang, Yuanping & Hou, Lingchun & Cai, Weiguang & Zhou, Zhaoyin & Bian, Jing, 2023. "Exploring the drivers and influencing mechanisms of urban household electricity consumption in China - Based on longitudinal data at the provincial level," Energy, Elsevier, vol. 273(C).
  • Handle: RePEc:eee:energy:v:273:y:2023:i:c:s0360544223005856
    DOI: 10.1016/j.energy.2023.127191
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    References listed on IDEAS

    as
    1. 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).
    2. Kelly, S., 2011. "Do homes that are more energy efficient consume less energy?: A structural equation model for England's residential sector," Cambridge Working Papers in Economics 1139, Faculty of Economics, University of Cambridge.
    3. Zhang, Zibin & Cai, Wenxin & Feng, Xiangzhao, 2017. "How do urban households in China respond to increasing block pricing in electricity? Evidence from a fuzzy regression discontinuity approach," Energy Policy, Elsevier, vol. 105(C), pages 161-172.
    4. Anna Risch & Claire Salmon, 2017. "What matters in residential energy consumption: evidence from France," International Journal of Global Energy Issues, Inderscience Enterprises Ltd, vol. 40(1/2), pages 79-116.
    5. Ma, Minda & Ma, Xin & Cai, Wei & Cai, Weiguang, 2020. "Low carbon roadmap of residential building sector in China: Historical mitigation and prospective peak," Applied Energy, Elsevier, vol. 273(C).
    6. Kelly, Scott, 2011. "Do homes that are more energy efficient consume less energy?: A structural equation model of the English residential sector," Energy, Elsevier, vol. 36(9), pages 5610-5620.
    7. Wang, Xia & Fang, Yuan & Cai, Weiguang & Ding, Chao & Xie, Yupei, 2022. "Heating demand with heterogeneity in residential households in the hot summer and cold winter climate zone in China -A quantile regression approach," Energy, Elsevier, vol. 247(C).
    8. Shen, Meng & Lu, Yujie & Wei, Kua Harn & Cui, Qingbin, 2020. "Prediction of household electricity consumption and effectiveness of concerted intervention strategies based on occupant behaviour and personality traits," Renewable and Sustainable Energy Reviews, Elsevier, vol. 127(C).
    9. Anna Risch & Claire Salmon, 2017. "What matters in residential energy consumption: evidence from France," International Journal of Global Energy Issues, Inderscience Enterprises Ltd, vol. 40(1/2), pages 79-116.
    10. Minda Ma & Liyin Shen & Hong Ren & Weiguang Cai & Zhili Ma, 2017. "How to Measure Carbon Emission Reduction in China’s Public Building Sector: Retrospective Decomposition Analysis Based on STIRPAT Model in 2000–2015," Sustainability, MDPI, vol. 9(10), pages 1-16, September.
    11. Shi, Yong & Ren, Xinyue & Guo, Kun & Zhou, Yi & Wang, Jun, 2020. "Research on the economic development pattern of Chinese counties based on electricity consumption," Energy Policy, Elsevier, vol. 147(C).
    12. Yong Wang & Guangchun Yang & Ying Dong & Yu Cheng & Peipei Shang, 2018. "The Scale, Structure and Influencing Factors of Total Carbon Emissions from Households in 30 Provinces of China—Based on the Extended STIRPAT Model," Energies, MDPI, vol. 11(5), pages 1-25, May.
    13. Bartusch, Cajsa & Odlare, Monica & Wallin, Fredrik & Wester, Lars, 2012. "Exploring variance in residential electricity consumption: Household features and building properties," Applied Energy, Elsevier, vol. 92(C), pages 637-643.
    14. Fan, Jing-Li & Hu, Jia-Wei & Zhang, Xian, 2019. "Impacts of climate change on electricity demand in China: An empirical estimation based on panel data," Energy, Elsevier, vol. 170(C), pages 880-888.
    15. Huo, Tengfei & Xu, Linbo & Feng, Wei & Cai, Weiguang & Liu, Bingsheng, 2021. "Dynamic scenario simulations of carbon emission peak in China's city-scale urban residential building sector through 2050," Energy Policy, Elsevier, vol. 159(C).
    16. Lei, Mingyu & Cai, Wenjia & Liu, Wenling & Wang, Can, 2022. "The heterogeneity in energy consumption patterns and home appliance purchasing preferences across urban households in China," Energy, Elsevier, vol. 253(C).
    17. Minda Ma & Ran Yan & Weiguang Cai, 2017. "A STIRPAT model-based methodology for calculating energy savings in China’s existing civil buildings from 2001 to 2015," 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. 87(3), pages 1765-1781, July.
    18. Kaza, Nikhil, 2010. "Understanding the spectrum of residential energy consumption: A quantile regression approach," Energy Policy, Elsevier, vol. 38(11), pages 6574-6585, November.
    19. Dong, Xiao-Ying & Hao, Yu, 2018. "Would income inequality affect electricity consumption? Evidence from China," Energy, Elsevier, vol. 142(C), pages 215-227.
    20. Henri C. Moll & Klaas Jan Noorman & Rixt Kok & Rebecka Engström & Harald Throne‐Holst & Charlotte Clark, 2005. "Pursuing More Sustainable Consumption by Analyzing Household Metabolism in European Countries and Cities," Journal of Industrial Ecology, Yale University, vol. 9(1‐2), pages 259-275, January.
    21. York, Richard & Rosa, Eugene A. & Dietz, Thomas, 2003. "STIRPAT, IPAT and ImPACT: analytic tools for unpacking the driving forces of environmental impacts," Ecological Economics, Elsevier, vol. 46(3), pages 351-365, October.
    22. Boogen, Nina & Datta, Souvik & Filippini, Massimo, 2017. "Demand-side management by electric utilities in Switzerland: Analyzing its impact on residential electricity demand," Energy Economics, Elsevier, vol. 64(C), pages 402-414.
    23. 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.
    24. Liddle, Brantley & Lung, Sidney, 2015. "Revisiting energy consumption and GDP causality: Importance of a priori hypothesis testing, disaggregated data, and heterogeneous panels," Applied Energy, Elsevier, vol. 142(C), pages 44-55.
    25. Seong-Hoon Cho & Moonwon Soh & Kihyun Park & Hyun Jae Kim, 2022. "Impact of the rise of solo living and an ageing population on residential energy consumption in South Korea," Energy & Environment, , vol. 33(2), pages 399-416, March.
    26. Bilgili, Faik & Koçak, Emrah & Bulut, Ümit & Kuloğlu, Ayhan, 2017. "The impact of urbanization on energy intensity: Panel data evidence considering cross-sectional dependence and heterogeneity," Energy, Elsevier, vol. 133(C), pages 242-256.
    27. Zhang, Mingyang & Zhang, Kaiwen & Hu, Wuyang & Zhu, Bangzhu & Wang, Ping & Wei, Yi-Ming, 2020. "Exploring the climatic impacts on residential electricity consumption in Jiangsu, China," Energy Policy, Elsevier, vol. 140(C).
    28. Huo, Tengfei & Xu, Linbo & Liu, Bingsheng & Cai, Weiguang & Feng, Wei, 2022. "China’s commercial building carbon emissions toward 2060: An integrated dynamic emission assessment model," Applied Energy, Elsevier, vol. 325(C).
    29. Brounen, Dirk & Kok, Nils & Quigley, John M., 2012. "Residential energy use and conservation: Economics and demographics," European Economic Review, Elsevier, vol. 56(5), pages 931-945.
    30. Scott Kelly, 2011. "Do homes that are more energy efficient consume less energy?: A structural equation model for England's residential sector," Working Papers EPRG 1117, Energy Policy Research Group, Cambridge Judge Business School, University of Cambridge.
    31. Yuanping Wang & Mu Lin & Jingxin Gao & Zhaoyin Zhou, 2021. "Fading Attraction of the Shrinking City: An Empirical Study from an Urban Resource Perspective," Sustainability, MDPI, vol. 13(20), pages 1-19, October.
    32. Jingxin Gao & Xiaoyang Zhong & Weiguang Cai & Hong Ren & Tengfei Huo & Xia Wang & Zhifu Mi, 2019. "Dilution effect of the building area on energy intensity in urban residential buildings," Nature Communications, Nature, vol. 10(1), pages 1-9, December.
    33. Wang, Yuanping & Ren, Hong & Dong, Liang & Park, Hung-Suck & Zhang, Yuepeng & Xu, Yanwei, 2019. "Smart solutions shape for sustainable low-carbon future: A review on smart cities and industrial parks in China," Technological Forecasting and Social Change, Elsevier, vol. 144(C), pages 103-117.
    34. Huang, Wen-Hsiu, 2015. "The determinants of household electricity consumption in Taiwan: Evidence from quantile regression," Energy, Elsevier, vol. 87(C), pages 120-133.
    35. Freier, Julia & von Loessl, Victor, 2022. "Dynamic electricity tariffs: Designing reasonable pricing schemes for private households," Energy Economics, Elsevier, vol. 112(C).
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