An analysis of eco-efficiency in energy use and CO2 emissions in the Swedish service industries
This study determines the trends in energy efficiency and CO2 emissions of the Swedish service sector using data at the 2-digit level of aggregation for the Swedish service industry over the period 1993-2008, this empirical study examines eco-efficiency in terms of energy efficiency and CO2 emission...
- Autores:
- Tipo de recurso:
- Fecha de publicación:
- 2013
- Institución:
- Universidad del Rosario
- Repositorio:
- Repositorio EdocUR - U. Rosario
- Idioma:
- eng
- OAI Identifier:
- oai:repository.urosario.edu.co:10336/23313
- Acceso en línea:
- https://doi.org/10.1016/j.seps.2012.11.004
https://repository.urosario.edu.co/handle/10336/23313
- Palabra clave:
- Carbon dioxide
Carbon emission
Data envelopment analysis
Emission control
Energy efficiency
Energy use
Modeling
Panel data
Productivity
Service sector
Sweden
Co2 emissions
Data envelopment analysis
Energy efficiency
Panel data model
Swedish service industries
The malmquist productivity index
- Rights
- License
- Abierto (Texto Completo)
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522207406002020-05-26T00:01:05Z2020-05-26T00:01:05Z2013This study determines the trends in energy efficiency and CO2 emissions of the Swedish service sector using data at the 2-digit level of aggregation for the Swedish service industry over the period 1993-2008, this empirical study examines eco-efficiency in terms of energy efficiency and CO2 emissions based on a number of models. The results show that Swedish service industries increased energy consumption and CO2 emissions during the sample period, whereas energy and CO2 emission intensities have shown a decrease in recent years. Eco-efficiency models based on the Malmquist data envelopment analysis model suggest that Swedish service industries have an excellent potential to increase energy efficiency and reduce CO2 emissions. Second-stage panel data techniques show that energy taxes, investments and labour productive have a significant and positive influence on energy and CO2 emission intensities implying that increasing these variables lead to higher energy efficiency and lower CO2 emission intensity. This analysis demonstrates the importance of designing and applying adequate energy policies that encourage better energy use and management in this industrial sector for the goal of achieving a low carbon economy. © 2012 Elsevier Ltd.application/pdfhttps://doi.org/10.1016/j.seps.2012.11.004380121https://repository.urosario.edu.co/handle/10336/23313eng130No. 2120Socio-Economic Planning SciencesVol. 47Socio-Economic Planning Sciences, ISSN:380121, Vol.47, No.2 (2013); pp. 120-130https://www.scopus.com/inward/record.uri?eid=2-s2.0-84878135915&doi=10.1016%2fj.seps.2012.11.004&partnerID=40&md5=f530f5a26f3f75c9b7e3a9f3d064b60eAbierto (Texto Completo)http://purl.org/coar/access_right/c_abf2instname:Universidad del Rosarioreponame:Repositorio Institucional EdocURCarbon dioxideCarbon emissionData envelopment analysisEmission controlEnergy efficiencyEnergy useModelingPanel dataProductivityService sectorSwedenCo2 emissionsData envelopment analysisEnergy efficiencyPanel data modelSwedish service industriesThe malmquist productivity indexAn analysis of eco-efficiency in energy use and CO2 emissions in the Swedish service industriesarticleArtículohttp://purl.org/coar/version/c_970fb48d4fbd8a85http://purl.org/coar/resource_type/c_6501Pardo Martínez, Clara InésORIGINAL1-s2-0-S0038012112000614-main.pdfapplication/pdf815586https://repository.urosario.edu.co/bitstreams/b2f52983-52e2-4d8a-ac3d-79e9d878987b/downloadf8f35f7f721c57f814bc7a8299618ad3MD51TEXT1-s2-0-S0038012112000614-main.pdf.txt1-s2-0-S0038012112000614-main.pdf.txtExtracted texttext/plain65333https://repository.urosario.edu.co/bitstreams/1bda609f-4b80-425f-be69-e8aeeea5627b/download8690bceecf63471eceea96acc21b4271MD52THUMBNAIL1-s2-0-S0038012112000614-main.pdf.jpg1-s2-0-S0038012112000614-main.pdf.jpgGenerated Thumbnailimage/jpeg4780https://repository.urosario.edu.co/bitstreams/eeda5c27-4360-4a02-be94-faf12d17f7e9/downloadd7a68d59d3748fac486dc5b317a002f4MD5310336/23313oai:repository.urosario.edu.co:10336/233132022-05-02 07:37:21.455115https://repository.urosario.edu.coRepositorio institucional EdocURedocur@urosario.edu.co |
dc.title.spa.fl_str_mv |
An analysis of eco-efficiency in energy use and CO2 emissions in the Swedish service industries |
title |
An analysis of eco-efficiency in energy use and CO2 emissions in the Swedish service industries |
spellingShingle |
An analysis of eco-efficiency in energy use and CO2 emissions in the Swedish service industries Carbon dioxide Carbon emission Data envelopment analysis Emission control Energy efficiency Energy use Modeling Panel data Productivity Service sector Sweden Co2 emissions Data envelopment analysis Energy efficiency Panel data model Swedish service industries The malmquist productivity index |
title_short |
An analysis of eco-efficiency in energy use and CO2 emissions in the Swedish service industries |
title_full |
An analysis of eco-efficiency in energy use and CO2 emissions in the Swedish service industries |
title_fullStr |
An analysis of eco-efficiency in energy use and CO2 emissions in the Swedish service industries |
title_full_unstemmed |
An analysis of eco-efficiency in energy use and CO2 emissions in the Swedish service industries |
title_sort |
An analysis of eco-efficiency in energy use and CO2 emissions in the Swedish service industries |
dc.subject.keyword.spa.fl_str_mv |
Carbon dioxide Carbon emission Data envelopment analysis Emission control Energy efficiency Energy use Modeling Panel data Productivity Service sector Sweden Co2 emissions Data envelopment analysis Energy efficiency Panel data model Swedish service industries The malmquist productivity index |
topic |
Carbon dioxide Carbon emission Data envelopment analysis Emission control Energy efficiency Energy use Modeling Panel data Productivity Service sector Sweden Co2 emissions Data envelopment analysis Energy efficiency Panel data model Swedish service industries The malmquist productivity index |
description |
This study determines the trends in energy efficiency and CO2 emissions of the Swedish service sector using data at the 2-digit level of aggregation for the Swedish service industry over the period 1993-2008, this empirical study examines eco-efficiency in terms of energy efficiency and CO2 emissions based on a number of models. The results show that Swedish service industries increased energy consumption and CO2 emissions during the sample period, whereas energy and CO2 emission intensities have shown a decrease in recent years. Eco-efficiency models based on the Malmquist data envelopment analysis model suggest that Swedish service industries have an excellent potential to increase energy efficiency and reduce CO2 emissions. Second-stage panel data techniques show that energy taxes, investments and labour productive have a significant and positive influence on energy and CO2 emission intensities implying that increasing these variables lead to higher energy efficiency and lower CO2 emission intensity. This analysis demonstrates the importance of designing and applying adequate energy policies that encourage better energy use and management in this industrial sector for the goal of achieving a low carbon economy. © 2012 Elsevier Ltd. |
publishDate |
2013 |
dc.date.created.spa.fl_str_mv |
2013 |
dc.date.accessioned.none.fl_str_mv |
2020-05-26T00:01:05Z |
dc.date.available.none.fl_str_mv |
2020-05-26T00:01:05Z |
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.seps.2012.11.004 |
dc.identifier.issn.none.fl_str_mv |
380121 |
dc.identifier.uri.none.fl_str_mv |
https://repository.urosario.edu.co/handle/10336/23313 |
url |
https://doi.org/10.1016/j.seps.2012.11.004 https://repository.urosario.edu.co/handle/10336/23313 |
identifier_str_mv |
380121 |
dc.language.iso.spa.fl_str_mv |
eng |
language |
eng |
dc.relation.citationEndPage.none.fl_str_mv |
130 |
dc.relation.citationIssue.none.fl_str_mv |
No. 2 |
dc.relation.citationStartPage.none.fl_str_mv |
120 |
dc.relation.citationTitle.none.fl_str_mv |
Socio-Economic Planning Sciences |
dc.relation.citationVolume.none.fl_str_mv |
Vol. 47 |
dc.relation.ispartof.spa.fl_str_mv |
Socio-Economic Planning Sciences, ISSN:380121, Vol.47, No.2 (2013); pp. 120-130 |
dc.relation.uri.spa.fl_str_mv |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-84878135915&doi=10.1016%2fj.seps.2012.11.004&partnerID=40&md5=f530f5a26f3f75c9b7e3a9f3d064b60e |
dc.rights.coar.fl_str_mv |
http://purl.org/coar/access_right/c_abf2 |
dc.rights.acceso.spa.fl_str_mv |
Abierto (Texto Completo) |
rights_invalid_str_mv |
Abierto (Texto Completo) http://purl.org/coar/access_right/c_abf2 |
dc.format.mimetype.none.fl_str_mv |
application/pdf |
institution |
Universidad del Rosario |
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reponame:Repositorio Institucional EdocUR |
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