Abstract
In this paper, we report eight sets of 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 for the latter.
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Acknowledgments
The authors gratefully acknowledge the financial support from the “Strategic Priority Research Program” of the Chinese Academy of Sciences (XDA05150600) and National Natural Science Foundation of China (71020107026). We would also like to thank Professor Hua Liao and Professor Qiao-Mei Liang for their suggestions. We appreciate the comments from the seminar participants at Center for Energy and Environmental Policy Research at Beijing Institute of Technology.
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Fan, JL., Tang, BJ., Yu, H. et al. Impacts of socioeconomic factors on monthly electricity consumption of China’s sectors. Nat Hazards 75, 2039–2047 (2015). https://doi.org/10.1007/s11069-014-1410-2
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DOI: https://doi.org/10.1007/s11069-014-1410-2