Determinants of residential electricity demand: Evidence from Japan

Determinants of residential electricity demand: Evidence from Japan
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住宅电力需求的决定因素:来自日本的证据

DOI:
10.1108/ijesm-07-2015-0004
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发表时间:
2016
影响因子:
3.1
通讯作者:
Akihiro Otsuka and Shoji Haruna
Akihiro Otsuka and Shoji Haruna
中科院分区:
--
文献类型:
--
作者:
Otsuka Akihiro;Goto Mika;Akihiro Otsuka;Akihiro Otsuka;Akihiro Otsuka and Shoji Haruna

文献摘要

相似文献

本文旨在估计日本居民部门的电力需求函数。设计/方法/途径作者使用部分调整模型,并利用日本47个县的数据对地区居民电力需求进行实证分析。结果表明,分析期间居民电力需求的价格弹性(1990-2010年),根据每户房屋面积的大小,都道府县之间的差异很大。此外,本研究发现,价格弹性是较高的收入弹性相比,这意味着居民用电需求的变化与费率。此外,委员会认为,对影响居民用电需求因素的分析表明,各地区的用电需求增长主要归因于电价的下降和家庭数量的增加。研究限制/含义这些结果表明,监测电价和家庭数量对于预测该地区未来的居民用电需求非常重要。这项研究考虑住户数目对整体电力需求的影响,并找出其他导致住宅电力需求增长的因素。研究结果可用于预测未来的电力需求。
PurposeThis paper aims to estimate electricity demand functions in Japan’s residential sector.Design/methodology/approachThe authors use a partial adjustment model and empirically analyze regional residential electricity demand by using data on 47 Japanese prefectures.FindingsThe results reveal that the price elasticity of residential electricity demand during the analytical period (1990-2010) is remarkably different among prefectures, depending on the magnitude of floor space per household. In addition, this study finds that price elasticity is high compared with income elasticity, implying that residential electricity demand changes with rates. Furthermore, an analysis of factors influencing electricity demand in the residential sector shows that increasing electricity demand growth in each region can be attributable mainly to declining electricity rates and increasing number of households.Research limitations/implicationsThese results suggest that monitoring the electricity rates and the number of households is important for forecasting future residential electricity demand at region.Originality/valueThe study considers the impact of the number of households on overall electricity demand and identifies other factors contributing to growth in residential electricity demand. The findings can be used to derive projections for future electricity demand.