关键词: 生活用电, 影响机理, 分位数回归

Abstract: The electricity consumption plays a vital role in the rapid growth of residential carbon emissions recently in China. Based on data from 2013 Carbon Consumption Survey in Shanghai, this paper analyzes the characteristics and impact mechanism of residential electricity consumption in Shanghai. The results show that the average annual electricity use per household is 2184.6 kWh with a standard deviation of 1398.5 kWh, and Gini Coefficient is 0.32. Power consumed during summer and winter is more and has a higher dispersion than that in spring and autumn. Besides, this paper analyzes determinants of residential electricity use and applies quantile regression to examine effects of impact factors on power consumption at different levels. The results show that household sizes, dwelling sizes, incomes, environmental attitudes and behaviors all have significant impacts on household electricity consumption in Shanghai. We also find households with varying levels of energy use have different impact factors. Meanwhile, the effects of these impact factors vary when the electricity consumption moves from low to the high end of the spectrum. Our analysis based on quantile regression provides more information and help to further understand impact factors of residential electricity consumption for different families, which helps policymakers and researchers identify potential energy conservation opportunities.

Key words: Residential Electricity Consumption, Impact Mechanism, Quantile Regression