Panel data regression model for identifying the spatiotemporal characteristics and key factors influencing household water-energy consumption
WANG Chunyan1, ZHANG Jingxiang2, LONG Jie1, LIU Yi1
1. School of Environment, Tsinghua University, Beijing 100084, China; 2. Department of Industrial Engineering, Tsinghua University, Beijing 100084, China
Abstract：The China family panel studies (CFPS) tracked the monthly household water and electricity consumption of 4 269 households from 2014 to 2018. The present study analyzed the household water and energy consumption characteristics to identify key factors influencing their water and energy use using descriptive analyses, correlation analyses and a random effect model based on a panel data regression. The results show that the household water and electricity consumption gradually increased with time with the monthly electricity in 2018 being 21% higher than in 2014 while the water consumption increased by 12%. The water and electricity consumption rates differed in different regions of China with southern China having the highest consumption rates, northwest China having the lowest consumption rates and northern China having the lowest water consumption rate. The household water and electricity consumption rates are positively correlated with a correlation coefficient of 0.49. The correlation was strongest in southern China and weakest in central China. The household economic and dwelling attributes significantly influence the water and electricity consumption. The household water and electricity consumption also correlate with the household size and house price with each increase in family size increasing the electricity consumption by 7.5% and the water consumption by 7.1%. Doubling the house price increases the electricity consumption by 1.3% and the water consumption by 1.2%. Price has a negative impact on water consumption with the water consumption decreasing by 13.9% for each 1.0 yuan increase in price.
王春艳, 张景翔, 龙洁, 刘毅. 基于面板数据回归模型的家庭水-能消费时空特征与影响因素[J]. 清华大学学报（自然科学版）, 2022, 62(3): 614-626.
WANG Chunyan, ZHANG Jingxiang, LONG Jie, LIU Yi. Panel data regression model for identifying the spatiotemporal characteristics and key factors influencing household water-energy consumption. Journal of Tsinghua University(Science and Technology), 2022, 62(3): 614-626.
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2022, Vol. 62 
