Understanding the determinants on household electricity consumption in Korea: OLS regression and quantile regression

被引：34
|
作者：
Kim M.-J. [1 ]
机构：
[1] Department of Consumer Economics, Sookmyung Women's University, 100 Cheongpa-ro 47-gil, Yongsan-gu, Seoul
来源：
Electricity Journal | 2020年 / 33卷 / 07期
关键词：
High electricity-consuming households; Household electricity consumption; Household energy consumption sample survey; Low electricity-consuming households; Quantile regression;
D O I：
10.1016/j.tej.2020.106802
中图分类号：
学科分类号：
摘要：
The paper aims to investigate the determinants of household electricity consumption in Korea by using both the OLS regression and quantile regression. The results show that the effects of socio-demographic, dwelling, and electricity consumption characteristics on household electricity consumption may differ between two regressions and may differ across quantiles. We found that age group of household head, number of household, housing area, the number of household appliances, and refrigerator usage time were significant in all quantiles. © 2020 Elsevier Inc.
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