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DOI10.1016/j.enpol.2021.112561
Estimating residential electricity demand: New empirical evidence
Boogen N.; Datta S.; Filippini M.
发表日期2021
ISSN0301-4215
卷号158
英文摘要In this paper, we estimate the price elasticity of residential electricity consumption in Switzerland using a unique longitudinal household survey of around 5000 households. The survey contains information on a household's stock of appliances, use of appliances, and various socio-demographic characteristics. Our empirical model is derived from a variant of household production theory that posits electricity demand as being a derived demand for energy services. Based on this, we extend our basic model by using information on energy services, e.g. the amount of washing and the amount of cooking. We also use an instrumental variables approach to obtain consistent estimates of the price elasticity to account for potential endogeneity concerns with the average price. Our results indicate that the short-to medium-run price elasticity is around −0.7. This implies that policy makers concerned about reducing electricity consumption can use pricing policy, with a combination of other policies, to effectively reduce or, at least, stabilise electricity consumption in Switzerland. © 2021 The Author(s)
英文关键词Correlated random effects; Energy services; Instrumental variables; Residential electricity; Switzerland
语种英语
scopus关键词Cost estimating; Elasticity; Electric power utilization; Housing; Surveys; Correlated random effect; Electricity-consumption; Energy services; Instrumental variables; Price-elasticity; Random effects; Residential electricity; Residential electricity consumption; Residential Electricity demands; Switzerland; Random processes; electricity generation; empirical analysis; energy market; energy resource; estimation method; longitudinal gradient; residential energy; Switzerland
来源期刊Energy Policy
文献类型期刊论文
条目标识符http://gcip.llas.ac.cn/handle/2XKMVOVA/256536
作者单位ZHAW School of Management and Law, Center for Energy and the Environment, Zurich University of Applied Sciences, Bahnhofplatz 12, Winterthur, 8400, Switzerland; Institute for Competitiveness and Communication, Hochschule für Wirtschaft, Fachhochschule Nordwestschweiz, Riggenbachstrasse 16, Olten, 4600, Switzerland; Center of Economic Research (CER-ETH), ETH Zürich, Zürichbergstrasse 18, Zürich, 8032, Switzerland; Institute of Economics, Università della Svizzera italiana, Ex Laboratorio, Office 205 (Level 2) Via Buffi 13, Lugano, 6904, Switzerland
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Boogen N.,Datta S.,Filippini M.. Estimating residential electricity demand: New empirical evidence[J],2021,158.
APA Boogen N.,Datta S.,&Filippini M..(2021).Estimating residential electricity demand: New empirical evidence.Energy Policy,158.
MLA Boogen N.,et al."Estimating residential electricity demand: New empirical evidence".Energy Policy 158(2021).
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