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Impacts of socioeconomic factors on monthly electricity consumption of China's sectors

Author

Listed:
  • Jing-Li Fan
  • Bao-Jun Tang
  • Hao Yu
  • Yun-Bing Hou
  • Yi-Ming Wei

    (Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology)

Abstract

In this paper, we report 4 sets of 8 multivariate regression equations, introducing the socioeconomic factors for the estimation models of monthly electricity consumption in the primary, secondary, tertiary industry, and the household sectors, to study the quantitative effects of socioeconomic factors (electricity real price, activity level, income, holiday, etc.). The results demonstrate that the price elasticity of electricity demand in the household and the secondary industry sectors is significant. When the electricity price increases by 1%, the demand in the household and secondary industry sectors reduces by 0.4-0.5% with a time lag.

Suggested Citation

  • Jing-Li Fan & Bao-Jun Tang & Hao Yu & Yun-Bing Hou & Yi-Ming Wei, 2014. "Impacts of socioeconomic factors on monthly electricity consumption of China's sectors," CEEP-BIT Working Papers 67, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    • Handle: RePEc:biw:wpaper:67
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    2. Xinhui Lu & Kaile Zhou & Felix T. S. Chan & Shanlin Yang, 2017. "Optimal scheduling of household appliances for smart home energy management considering demand response," 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(3), pages 1639-1653, September.
    3. Xiaowen Ding & Lin Liu & Guohe Huang & Ye Xu & Junhong Guo, 2019. "A Multi-Objective Optimization Model for a Non-Traditional Energy System in Beijing under Climate Change Conditions," Energies, MDPI, vol. 12(9), pages 1-21, May.
    4. Le Viet Phu, 2020. "Electricity price and residential electricity demand in Vietnam," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 22(4), pages 509-535, October.
    5. Shi, Tie & Chen, Hanyi & Xu, Junbing & Wang, Xuebin, 2025. "The effect of temperatures on household electricity consumption in northern China: Evidence from smart meters," Utilities Policy, Elsevier, vol. 96(C).
    6. Nnaemeka Vincent Emodi & Taha Chaiechi & ABM Rabiul Alam Beg, 2018. "The impact of climate change on electricity demand in Australia," Energy & Environment, , vol. 29(7), pages 1263-1297, November.
    7. Shengnan Xing & Jindian Lu & Chengmei Zhang & Shuang Sun, 2019. "Does line loss broaden the deviation between the added value of industry and the industrial electricity consumption in China?," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 21(4), pages 1635-1648, August.
    8. Jin Zhu & Huaping Sun & Dequn Zhou & Lin Peng & Chuanwang Sun, 2020. "Carbon emission efficiency of thermal power in different regions of China and spatial correlations," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 25(7), pages 1221-1242, October.

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    Keywords

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    JEL classification:

    • Q40 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - General
    • Q58 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environmental Economics: Government Policy

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