A comparative analysis of energy use and CO2 emissions in the manufacturing and service industries of Sweden

This study analyses the trends in energy use and CO2 emissions in the manufacturing industry and service sector. Using data at the two-digit aggregation level for the Swedish manufacturing and service industries, this empirical study intends to examine energy use, energy efficiency and CO 2 emission...

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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:10336/24332
Acceso en línea:
https://doi.org/10.1504/IJADS.2013.053275
https://repository.urosario.edu.co/handle/10336/24332
Palabra clave:
Dea
Manufacturing industries
Panel data models
Service sectors
Sweden
Data envelopment analysis
Energy efficiency
Investments
Manufacture
Taxation
Telecommunication industry
Carbon dioxide
Data envelopment analysis
Dea
Energy efficiency
Manufacturing industry
Panel data model
Service sector
Sweden
Rights
License
Abierto (Texto Completo)
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network_acronym_str EDOCUR2
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repository_id_str
spelling 11b149ec-e823-4984-9f05-b74f619e4a75-12020-05-26T00:11:47Z2020-05-26T00:11:47Z2013This study analyses the trends in energy use and CO2 emissions in the manufacturing industry and service sector. Using data at the two-digit aggregation level for the Swedish manufacturing and service industries, this empirical study intends to examine energy use, energy efficiency and CO 2 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 from the DEA reveal significant variations in energy efficiency across the manufacturing and service industries. The results for these sectors also indicate that technical efficiency and energy efficiency have increased while CO2 emissions have decreased, especially in recent years. The results of the panel data techniques demonstrate that increased energy taxes, electricity consumption, investments and labour productivity generate higher energy efficiency, while higher fossil fuel consumption leads to lower energy efficiency. All of the findings of this study are important for developing effective energy policies that encourage better energy use and management in the industrial sector. Copyright © 2013 Inderscience Enterprises Ltd.application/pdfhttps://doi.org/10.1504/IJADS.2013.0532751755808517558077https://repository.urosario.edu.co/handle/10336/24332eng116No. 297International Journal of Applied Decision SciencesVol. 6International Journal of Applied Decision Sciences, ISSN:17558085, 17558077, Vol.6, No.2 (2013); pp. 97-116https://www.scopus.com/inward/record.uri?eid=2-s2.0-84885090474&doi=10.1504%2fIJADS.2013.053275&partnerID=40&md5=a5a2849dc37fb4bc4e09fa842658e8d2Abierto (Texto Completo)http://purl.org/coar/access_right/c_abf2instname:Universidad del Rosarioreponame:Repositorio Institucional EdocURDeaManufacturing industriesPanel data modelsService sectorsSwedenData envelopment analysisEnergy efficiencyInvestmentsManufactureTaxationTelecommunication industryCarbon dioxideData envelopment analysisDeaEnergy efficiencyManufacturing industryPanel data modelService sectorSwedenA comparative analysis of energy use and CO2 emissions in the manufacturing and service industries of SwedenarticleArtículohttp://purl.org/coar/version/c_970fb48d4fbd8a85http://purl.org/coar/resource_type/c_6501Martínez C.I.P.10336/24332oai:repository.urosario.edu.co:10336/243322022-05-02 07:37:14.883596https://repository.urosario.edu.coRepositorio institucional EdocURedocur@urosario.edu.co
dc.title.spa.fl_str_mv A comparative analysis of energy use and CO2 emissions in the manufacturing and service industries of Sweden
title A comparative analysis of energy use and CO2 emissions in the manufacturing and service industries of Sweden
spellingShingle A comparative analysis of energy use and CO2 emissions in the manufacturing and service industries of Sweden
Dea
Manufacturing industries
Panel data models
Service sectors
Sweden
Data envelopment analysis
Energy efficiency
Investments
Manufacture
Taxation
Telecommunication industry
Carbon dioxide
Data envelopment analysis
Dea
Energy efficiency
Manufacturing industry
Panel data model
Service sector
Sweden
title_short A comparative analysis of energy use and CO2 emissions in the manufacturing and service industries of Sweden
title_full A comparative analysis of energy use and CO2 emissions in the manufacturing and service industries of Sweden
title_fullStr A comparative analysis of energy use and CO2 emissions in the manufacturing and service industries of Sweden
title_full_unstemmed A comparative analysis of energy use and CO2 emissions in the manufacturing and service industries of Sweden
title_sort A comparative analysis of energy use and CO2 emissions in the manufacturing and service industries of Sweden
dc.subject.keyword.spa.fl_str_mv Dea
Manufacturing industries
Panel data models
Service sectors
Sweden
Data envelopment analysis
Energy efficiency
Investments
Manufacture
Taxation
Telecommunication industry
Carbon dioxide
Data envelopment analysis
Dea
Energy efficiency
Manufacturing industry
Panel data model
Service sector
Sweden
topic Dea
Manufacturing industries
Panel data models
Service sectors
Sweden
Data envelopment analysis
Energy efficiency
Investments
Manufacture
Taxation
Telecommunication industry
Carbon dioxide
Data envelopment analysis
Dea
Energy efficiency
Manufacturing industry
Panel data model
Service sector
Sweden
description This study analyses the trends in energy use and CO2 emissions in the manufacturing industry and service sector. Using data at the two-digit aggregation level for the Swedish manufacturing and service industries, this empirical study intends to examine energy use, energy efficiency and CO 2 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 from the DEA reveal significant variations in energy efficiency across the manufacturing and service industries. The results for these sectors also indicate that technical efficiency and energy efficiency have increased while CO2 emissions have decreased, especially in recent years. The results of the panel data techniques demonstrate that increased energy taxes, electricity consumption, investments and labour productivity generate higher energy efficiency, while higher fossil fuel consumption leads to lower energy efficiency. All of the findings of this study are important for developing effective energy policies that encourage better energy use and management in the industrial sector. Copyright © 2013 Inderscience Enterprises Ltd.
publishDate 2013
dc.date.created.spa.fl_str_mv 2013
dc.date.accessioned.none.fl_str_mv 2020-05-26T00:11:47Z
dc.date.available.none.fl_str_mv 2020-05-26T00:11:47Z
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/10.1504/IJADS.2013.053275
dc.identifier.issn.none.fl_str_mv 17558085
17558077
dc.identifier.uri.none.fl_str_mv https://repository.urosario.edu.co/handle/10336/24332
url https://doi.org/10.1504/IJADS.2013.053275
https://repository.urosario.edu.co/handle/10336/24332
identifier_str_mv 17558085
17558077
dc.language.iso.spa.fl_str_mv eng
language eng
dc.relation.citationEndPage.none.fl_str_mv 116
dc.relation.citationIssue.none.fl_str_mv No. 2
dc.relation.citationStartPage.none.fl_str_mv 97
dc.relation.citationTitle.none.fl_str_mv International Journal of Applied Decision Sciences
dc.relation.citationVolume.none.fl_str_mv Vol. 6
dc.relation.ispartof.spa.fl_str_mv International Journal of Applied Decision Sciences, ISSN:17558085, 17558077, Vol.6, No.2 (2013); pp. 97-116
dc.relation.uri.spa.fl_str_mv https://www.scopus.com/inward/record.uri?eid=2-s2.0-84885090474&doi=10.1504%2fIJADS.2013.053275&partnerID=40&md5=a5a2849dc37fb4bc4e09fa842658e8d2
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
dc.source.instname.spa.fl_str_mv instname:Universidad del Rosario
dc.source.reponame.spa.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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