期刊
ENERGY
卷 87, 期 -, 页码 120-133出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.energy.2015.04.101
关键词
Electricity consumption; Household data; Quantile regression
资金
- Ministry of Science and Technology, Taiwan [NSC 102-2410-H-275-008]
This paper employs quantile regression to analyze the determinants of household electricity consumption in Taiwan over the period 1981-2011. Our results show that the effects of demographic, socioeconomic, and household dwelling characteristics on household electricity consumption may differ across quantiles and may change over time. We found that household income and household size were significant in all quantiles for each year. We identify the characteristics of high-electricity-consuming households. Households with higher income, larger household size, and more elderly members consumed more electricity. In terms of dwelling attributes, larger housing areas, homes with more appliances, and owner-occupied, business-used, and multi-floor houses contributed to higher household electricity consumption. Strategies for reducing electricity consumption should focus on specific groups that tend to exhibit higher electricity use. However, we also found that the low-income and small-size households may have higher electricity consumption on a per capita basis. Thus, as household size decreased, the increase of per capita electricity demand driven by the change of household size should be a matter of concern. (C) 2015 Elsevier Ltd. All rights reserved.
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