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...
- Autores:
- 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
- Rights
- License
- Restringido (Acceso a grupos específicos)
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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 |
_version_ |
1814167624517419008 |