Determining the efficiency of residential electricity consumption
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...
Gespeichert in:
Veröffentlicht in: | Empirical economics 2021-06, Vol.60 (6), p.2897-2923 |
---|---|
Hauptverfasser: | , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 2923 |
---|---|
container_issue | 6 |
container_start_page | 2897 |
container_title | Empirical economics |
container_volume | 60 |
creator | Andor, Mark A Bernstein, David H Sommer, Stephan |
description | 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. |
doi_str_mv | 10.1007/s00181-020-01967-4 |
format | Article |
fullrecord | <record><control><sourceid>proquest_ssoar</sourceid><recordid>TN_cdi_ssoar_primary_document_84596</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2533056560</sourcerecordid><originalsourceid>FETCH-LOGICAL-c569t-bfdc85cdd27a61d1f80140bea500ecd0a9251e13fbc9c58df3820ddbce60bacb3</originalsourceid><addsrcrecordid>eNp9kE9LAzEQxRdRsFa_gCAseF6dJJts9ljqXxC86DnsJpOa0m5qkh767U1tsXrxNIF57-U3ryguCdwQgOY2AhBJKqBQAWlFU9VHxYjUjFeypeT41_u0OItxDgBM8npUTO4wYVi6wQ2zMn1gidY67XDQm9LbMmB0BofkukWJC9Qp5GXalNoPcb1cJeeH8-LEdouIF_s5Lt4f7t-mT9XL6-PzdPJSaS7aVPXWaMm1MbTpBDHESiA19NhxANQGupZygoTZXreaS2OZpGBMr1FA3-mejYvrXW6MvgtqFdyyCxtlvF4vM6GSNW_FQbUK_nONMam5X4chgynKGQMuuICsojuVDj7GgPYnjoDaFqp2hapcqPouVNXZVO5MmK938WBpBBWyyfxZwvaMeTnMMBx-_zf46k_wdsTkg6JSZmL2Be8RjoY</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2533056560</pqid></control><display><type>article</type><title>Determining the efficiency of residential electricity consumption</title><source>SpringerLink Journals</source><source>Business Source Complete</source><creator>Andor, Mark A ; Bernstein, David H ; Sommer, Stephan</creator><creatorcontrib>Andor, Mark A ; Bernstein, David H ; Sommer, Stephan</creatorcontrib><description>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.</description><identifier>ISSN: 1435-8921</identifier><identifier>ISSN: 0377-7332</identifier><identifier>EISSN: 1435-8921</identifier><identifier>DOI: 10.1007/s00181-020-01967-4</identifier><language>eng</language><publisher>Berlin, Heidelberg: Springer</publisher><subject>Econometrics ; Economic theory ; Economic Theory/Quantitative Economics/Mathematical Methods ; Economics ; Economics and Finance ; Electricity ; Energy consumption ; Energy efficiency ; Finance ; Household electricity consumption ; Household size ; Households ; Insurance ; Management ; Mikrozensus ; Mikrozensus 2013 ; Statistics for Business ; Stochastic frontier analysis ; Technical efficiency ; Ökologie ; Ökologie und Umwelt</subject><ispartof>Empirical economics, 2021-06, Vol.60 (6), p.2897-2923</ispartof><rights>The Author(s) 2020</rights><rights>The Author(s) 2020. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c569t-bfdc85cdd27a61d1f80140bea500ecd0a9251e13fbc9c58df3820ddbce60bacb3</citedby><cites>FETCH-LOGICAL-c569t-bfdc85cdd27a61d1f80140bea500ecd0a9251e13fbc9c58df3820ddbce60bacb3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s00181-020-01967-4$$EPDF$$P50$$Gspringer$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s00181-020-01967-4$$EHTML$$P50$$Gspringer$$Hfree_for_read</linktohtml><link.rule.ids>230,314,776,780,881,27901,27902,41464,42533,51294</link.rule.ids><backlink>$$Uhttps://www.ssoar.info/ssoar/handle/document/84596$$DView record in SSOAR (Social Science Open Access Repository)$$Hfree_for_read</backlink></links><search><creatorcontrib>Andor, Mark A</creatorcontrib><creatorcontrib>Bernstein, David H</creatorcontrib><creatorcontrib>Sommer, Stephan</creatorcontrib><title>Determining the efficiency of residential electricity consumption</title><title>Empirical economics</title><addtitle>Empir Econ</addtitle><description>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.</description><subject>Econometrics</subject><subject>Economic theory</subject><subject>Economic Theory/Quantitative Economics/Mathematical Methods</subject><subject>Economics</subject><subject>Economics and Finance</subject><subject>Electricity</subject><subject>Energy consumption</subject><subject>Energy efficiency</subject><subject>Finance</subject><subject>Household electricity consumption</subject><subject>Household size</subject><subject>Households</subject><subject>Insurance</subject><subject>Management</subject><subject>Mikrozensus</subject><subject>Mikrozensus 2013</subject><subject>Statistics for Business</subject><subject>Stochastic frontier analysis</subject><subject>Technical efficiency</subject><subject>Ökologie</subject><subject>Ökologie und Umwelt</subject><issn>1435-8921</issn><issn>0377-7332</issn><issn>1435-8921</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>C6C</sourceid><sourceid>BENPR</sourceid><recordid>eNp9kE9LAzEQxRdRsFa_gCAseF6dJJts9ljqXxC86DnsJpOa0m5qkh767U1tsXrxNIF57-U3ryguCdwQgOY2AhBJKqBQAWlFU9VHxYjUjFeypeT41_u0OItxDgBM8npUTO4wYVi6wQ2zMn1gidY67XDQm9LbMmB0BofkukWJC9Qp5GXalNoPcb1cJeeH8-LEdouIF_s5Lt4f7t-mT9XL6-PzdPJSaS7aVPXWaMm1MbTpBDHESiA19NhxANQGupZygoTZXreaS2OZpGBMr1FA3-mejYvrXW6MvgtqFdyyCxtlvF4vM6GSNW_FQbUK_nONMam5X4chgynKGQMuuICsojuVDj7GgPYnjoDaFqp2hapcqPouVNXZVO5MmK938WBpBBWyyfxZwvaMeTnMMBx-_zf46k_wdsTkg6JSZmL2Be8RjoY</recordid><startdate>20210601</startdate><enddate>20210601</enddate><creator>Andor, Mark A</creator><creator>Bernstein, David H</creator><creator>Sommer, Stephan</creator><general>Springer</general><general>Springer Berlin Heidelberg</general><general>Springer Nature B.V</general><scope>OT2</scope><scope>C6C</scope><scope>OQ6</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7WY</scope><scope>7WZ</scope><scope>7XB</scope><scope>87Z</scope><scope>8AO</scope><scope>8BJ</scope><scope>8FK</scope><scope>8FL</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>BENPR</scope><scope>BEZIV</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FQK</scope><scope>FRNLG</scope><scope>F~G</scope><scope>JBE</scope><scope>K60</scope><scope>K6~</scope><scope>K8~</scope><scope>L.-</scope><scope>M0C</scope><scope>PQBIZ</scope><scope>PQBZA</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>Q9U</scope><scope>RS5</scope></search><sort><creationdate>20210601</creationdate><title>Determining the efficiency of residential electricity consumption</title><author>Andor, Mark A ; Bernstein, David H ; Sommer, Stephan</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c569t-bfdc85cdd27a61d1f80140bea500ecd0a9251e13fbc9c58df3820ddbce60bacb3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Econometrics</topic><topic>Economic theory</topic><topic>Economic Theory/Quantitative Economics/Mathematical Methods</topic><topic>Economics</topic><topic>Economics and Finance</topic><topic>Electricity</topic><topic>Energy consumption</topic><topic>Energy efficiency</topic><topic>Finance</topic><topic>Household electricity consumption</topic><topic>Household size</topic><topic>Households</topic><topic>Insurance</topic><topic>Management</topic><topic>Mikrozensus</topic><topic>Mikrozensus 2013</topic><topic>Statistics for Business</topic><topic>Stochastic frontier analysis</topic><topic>Technical efficiency</topic><topic>Ökologie</topic><topic>Ökologie und Umwelt</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Andor, Mark A</creatorcontrib><creatorcontrib>Bernstein, David H</creatorcontrib><creatorcontrib>Sommer, Stephan</creatorcontrib><collection>EconStor</collection><collection>Springer Nature OA Free Journals</collection><collection>ECONIS</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>ABI/INFORM Collection</collection><collection>ABI/INFORM Global (PDF only)</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>ABI/INFORM Global (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>International Bibliography of the Social Sciences (IBSS)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ABI/INFORM Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central</collection><collection>Business Premium Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>International Bibliography of the Social Sciences</collection><collection>Business Premium Collection (Alumni)</collection><collection>ABI/INFORM Global (Corporate)</collection><collection>International Bibliography of the Social Sciences</collection><collection>ProQuest Business Collection (Alumni Edition)</collection><collection>ProQuest Business Collection</collection><collection>DELNET Management Collection</collection><collection>ABI/INFORM Professional Advanced</collection><collection>ABI/INFORM Global</collection><collection>ProQuest One Business</collection><collection>ProQuest One Business (Alumni)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central Basic</collection><collection>SSOAR (Social Science Open Access Repository)</collection><jtitle>Empirical economics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Andor, Mark A</au><au>Bernstein, David H</au><au>Sommer, Stephan</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Determining the efficiency of residential electricity consumption</atitle><jtitle>Empirical economics</jtitle><stitle>Empir Econ</stitle><date>2021-06-01</date><risdate>2021</risdate><volume>60</volume><issue>6</issue><spage>2897</spage><epage>2923</epage><pages>2897-2923</pages><issn>1435-8921</issn><issn>0377-7332</issn><eissn>1435-8921</eissn><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 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.</abstract><cop>Berlin, Heidelberg</cop><pub>Springer</pub><doi>10.1007/s00181-020-01967-4</doi><tpages>27</tpages><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1435-8921 |
ispartof | Empirical economics, 2021-06, Vol.60 (6), p.2897-2923 |
issn | 1435-8921 0377-7332 1435-8921 |
language | eng |
recordid | cdi_ssoar_primary_document_84596 |
source | SpringerLink Journals; Business Source Complete |
subjects | Econometrics Economic theory Economic Theory/Quantitative Economics/Mathematical Methods Economics Economics and Finance Electricity Energy consumption Energy efficiency Finance Household electricity consumption Household size Households Insurance Management Mikrozensus Mikrozensus 2013 Statistics for Business Stochastic frontier analysis Technical efficiency Ökologie Ökologie und Umwelt |
title | Determining the efficiency of residential electricity consumption |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-09T14%3A07%3A17IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_ssoar&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Determining%20the%20efficiency%20of%20residential%20electricity%20consumption&rft.jtitle=Empirical%20economics&rft.au=Andor,%20Mark%20A&rft.date=2021-06-01&rft.volume=60&rft.issue=6&rft.spage=2897&rft.epage=2923&rft.pages=2897-2923&rft.issn=1435-8921&rft.eissn=1435-8921&rft_id=info:doi/10.1007/s00181-020-01967-4&rft_dat=%3Cproquest_ssoar%3E2533056560%3C/proquest_ssoar%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2533056560&rft_id=info:pmid/&rfr_iscdi=true |