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Determining the efficiency of residential electricity consumption

[Zeitschriftenartikel]

Andor, Mark A.
Bernstein, David H.
Sommer, Stephan

Abstract

Increasing energy efficiency is a key global policy goal for climate protection. An important step toward an optimal reduction of energy consumption is the identification of energy saving potentials in different sectors and the best strategies for increasing efficiency. This paper analyzes these pot... mehr

Increasing energy efficiency is a key global policy goal for climate protection. An important step toward an optimal reduction of energy consumption is the identification of energy saving potentials in different sectors and the best strategies for increasing efficiency. This paper analyzes these potentials in the household sector by estimating the degree of inefficiency in the use of electricity and its determinants. Using stochastic frontier analysis and disaggregated household data, we estimate an input requirement function and inefficiency on a sample of 2000 German households. Our results suggest that the mean inefficiency amounts to around 20%, indicating a notable potential for energy savings. Moreover, we find that household size and income are among the main determinants of individual inefficiency. This information can be used to increase the cost-efficiency of programs aimed to enhance energy efficiency.... weniger

Thesaurusschlagwörter
Mikrozensus; Energieverbrauch; Elektrizität; Privathaushalt; Stochastik; Effizienzanalyse; Klimaschutz; Energieeinsparung; Bundesrepublik Deutschland

Klassifikation
Ökologie und Umwelt

Freie Schlagwörter
Mikrozensus 2013; stochastic frontier analysis; technical efficiency

Sprache Dokument
Englisch

Publikationsjahr
2021

Seitenangabe
S. 2897-2923

Zeitschriftentitel
Empirical Economics, 60 (2021) 6

DOI
https://doi.org/10.1007/s00181-020-01967-4

ISSN
1435-8921

Status
Veröffentlichungsversion; begutachtet (peer reviewed)

Lizenz
Creative Commons - Namensnennung 4.0


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© 2007 - 2025 Social Science Open Access Repository (SSOAR).
Based on DSpace, Copyright (c) 2002-2022, DuraSpace. All rights reserved.