Analysis of energy use and CO 2 emission in service industries: Evidence from Sweden

This study analyses the trends in energy use and CO2 emissions for 19 sub-sectors in the Swedish service sectors following the classification of the International Standard Industrial Classification of all Economic Activities (ISIC) at the 2-digit level of aggregation over the period 1993–2008. This...

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Tipo de recurso:
Fecha de publicación:
2012
Institución:
Universidad del Rosario
Repositorio:
Repositorio EdocUR - U. Rosario
Idioma:
eng
OAI Identifier:
oai:repository.urosario.edu.co:10336/28470
Acceso en línea:
https://doi.org/10.1016/j.rser.2012.04.051
https://repository.urosario.edu.co/handle/10336/28470
Palabra clave:
Service industries
Energy efficiency
Data envelopment analysis
Panel data model
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License
Restringido (Acceso a grupos específicos)
id EDOCUR2_4913525053d123a045f43023e46ebc0a
oai_identifier_str oai:repository.urosario.edu.co:10336/28470
network_acronym_str EDOCUR2
network_name_str Repositorio EdocUR - U. Rosario
repository_id_str
spelling 52220740600c9becdf0-e30e-485c-8912-ee9c0bb827e32020-08-28T15:48:16Z2020-08-28T15:48:16Z2012-07-02This study analyses the trends in energy use and CO2 emissions for 19 sub-sectors in the Swedish service sectors following the classification of the International Standard Industrial Classification of all Economic Activities (ISIC) at the 2-digit level of aggregation over the period 1993–2008. This empirical study intends to examine energy use, energy efficiency and CO2 emissions using data envelopment analysis (DEA) and panel data techniques. DEA is applied to assess energy efficiency within a production framework. Panel data techniques are used to determine which variables influence energy efficiency. The results show that Swedish services industries have increased energy consumption and CO2 emissions in the period 1993–2008. The results from the DEA show significant variation in energy efficiency across service industries. The results also indicate that this sector has increased technical efficiency and energy efficiency while decreasing CO2 emissions, especially in the later years of our sample period. The results of panel data techniques show that higher energy taxes, electricity consumption, investments and labour productivity generate higher energy efficiency, while higher fossil fuel consumption leads to lower energy efficiency. All findings of this study are important for developing effective energy policies that encourage better energy use and energy management in the service industries.application/pdfhttps://doi.org/10.1016/j.rser.2012.04.051ISSN: 1364-0321EISSN: 1879-0690https://repository.urosario.edu.co/handle/10336/28470engElsevier5294No. 75285Renewable and Sustainable Energy ReviewsVol. 16Renewable and Sustainable Energy Reviews, ISSN: 1364-0321;EISSN: 1879-0690, Vol. 16, No. 7 (September 2012); pp. 5285-5294https://www.sciencedirect.com/science/article/abs/pii/S1364032112003267Restringido (Acceso a grupos específicos)http://purl.org/coar/access_right/c_16ecRenewable and Sustainable Energy Reviewsinstname:Universidad del Rosarioreponame:Repositorio Institucional EdocURService industriesEnergy efficiencyData envelopment analysisPanel data modelAnalysis of energy use and CO 2 emission in service industries: Evidence from SwedenAnálisis del uso de energía y las emisiones de CO 2 en las industrias de servicios: evidencia de SueciaarticleArtículohttp://purl.org/coar/version/c_970fb48d4fbd8a85http://purl.org/coar/resource_type/c_6501Pardo Martínez, Clara InésSilveira, Semida10336/28470oai:repository.urosario.edu.co:10336/284702021-09-20 17:14:36.519https://repository.urosario.edu.coRepositorio institucional EdocURedocur@urosario.edu.co
dc.title.spa.fl_str_mv Analysis of energy use and CO 2 emission in service industries: Evidence from Sweden
dc.title.TranslatedTitle.spa.fl_str_mv Análisis del uso de energía y las emisiones de CO 2 en las industrias de servicios: evidencia de Suecia
title Analysis of energy use and CO 2 emission in service industries: Evidence from Sweden
spellingShingle Analysis of energy use and CO 2 emission in service industries: Evidence from Sweden
Service industries
Energy efficiency
Data envelopment analysis
Panel data model
title_short Analysis of energy use and CO 2 emission in service industries: Evidence from Sweden
title_full Analysis of energy use and CO 2 emission in service industries: Evidence from Sweden
title_fullStr Analysis of energy use and CO 2 emission in service industries: Evidence from Sweden
title_full_unstemmed Analysis of energy use and CO 2 emission in service industries: Evidence from Sweden
title_sort Analysis of energy use and CO 2 emission in service industries: Evidence from Sweden
dc.subject.keyword.spa.fl_str_mv Service industries
Energy efficiency
Data envelopment analysis
Panel data model
topic Service industries
Energy efficiency
Data envelopment analysis
Panel data model
description This study analyses the trends in energy use and CO2 emissions for 19 sub-sectors in the Swedish service sectors following the classification of the International Standard Industrial Classification of all Economic Activities (ISIC) at the 2-digit level of aggregation over the period 1993–2008. This empirical study intends to examine energy use, energy efficiency and CO2 emissions using data envelopment analysis (DEA) and panel data techniques. DEA is applied to assess energy efficiency within a production framework. Panel data techniques are used to determine which variables influence energy efficiency. The results show that Swedish services industries have increased energy consumption and CO2 emissions in the period 1993–2008. The results from the DEA show significant variation in energy efficiency across service industries. The results also indicate that this sector has increased technical efficiency and energy efficiency while decreasing CO2 emissions, especially in the later years of our sample period. The results of panel data techniques show that higher energy taxes, electricity consumption, investments and labour productivity generate higher energy efficiency, while higher fossil fuel consumption leads to lower energy efficiency. All findings of this study are important for developing effective energy policies that encourage better energy use and energy management in the service industries.
publishDate 2012
dc.date.created.spa.fl_str_mv 2012-07-02
dc.date.accessioned.none.fl_str_mv 2020-08-28T15:48:16Z
dc.date.available.none.fl_str_mv 2020-08-28T15:48:16Z
dc.type.eng.fl_str_mv article
dc.type.coarversion.fl_str_mv http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.coar.fl_str_mv http://purl.org/coar/resource_type/c_6501
dc.type.spa.spa.fl_str_mv Artículo
dc.identifier.doi.none.fl_str_mv https://doi.org/10.1016/j.rser.2012.04.051
dc.identifier.issn.none.fl_str_mv ISSN: 1364-0321
EISSN: 1879-0690
dc.identifier.uri.none.fl_str_mv https://repository.urosario.edu.co/handle/10336/28470
url https://doi.org/10.1016/j.rser.2012.04.051
https://repository.urosario.edu.co/handle/10336/28470
identifier_str_mv ISSN: 1364-0321
EISSN: 1879-0690
dc.language.iso.spa.fl_str_mv eng
language eng
dc.relation.citationEndPage.none.fl_str_mv 5294
dc.relation.citationIssue.none.fl_str_mv No. 7
dc.relation.citationStartPage.none.fl_str_mv 5285
dc.relation.citationTitle.none.fl_str_mv Renewable and Sustainable Energy Reviews
dc.relation.citationVolume.none.fl_str_mv Vol. 16
dc.relation.ispartof.spa.fl_str_mv Renewable and Sustainable Energy Reviews, ISSN: 1364-0321;EISSN: 1879-0690, Vol. 16, No. 7 (September 2012); pp. 5285-5294
dc.relation.uri.spa.fl_str_mv https://www.sciencedirect.com/science/article/abs/pii/S1364032112003267
dc.rights.coar.fl_str_mv http://purl.org/coar/access_right/c_16ec
dc.rights.acceso.spa.fl_str_mv Restringido (Acceso a grupos específicos)
rights_invalid_str_mv Restringido (Acceso a grupos específicos)
http://purl.org/coar/access_right/c_16ec
dc.format.mimetype.none.fl_str_mv application/pdf
dc.publisher.spa.fl_str_mv Elsevier
dc.source.spa.fl_str_mv Renewable and Sustainable Energy Reviews
institution Universidad del Rosario
dc.source.instname.none.fl_str_mv instname:Universidad del Rosario
dc.source.reponame.none.fl_str_mv reponame:Repositorio Institucional EdocUR
repository.name.fl_str_mv Repositorio institucional EdocUR
repository.mail.fl_str_mv edocur@urosario.edu.co
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