Estimating and analyzing energy efficiency in German and Colombian manufacturing industries using DEA and data panel analysis. Part II: Non-energy intensive sectors

This study analyzes energy efficiency trends in German and Colombian non-energy intensive sectors using data envelopment analysis (DEA) between 1998 and 2005. The results of the DEA show considerable variation in energy efficiency across non-energy intensive sectors during the sample period. At a se...

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Tipo de recurso:
Fecha de publicación:
2016
Institución:
Universidad del Rosario
Repositorio:
Repositorio EdocUR - U. Rosario
Idioma:
eng
OAI Identifier:
oai:repository.urosario.edu.co:10336/23938
Acceso en línea:
https://doi.org/10.1080/15567249.2010.551823
https://repository.urosario.edu.co/handle/10336/23938
Palabra clave:
Data envelopment analysis
Developing countries
Productivity
Regression analysis
Data panel analysis
Enterprise size
Industrial sector
Labor productivity
Manufacturing industries
Non-energy
Panel data analysis
Small and medium enterprise
Energy efficiency
Data envelopment analysis
Data panel analysis
Energy efficiency
Non-energy intensive sectors
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License
Abierto (Texto Completo)
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repository_id_str
spelling 522207406002020-05-26T00:06:52Z2020-05-26T00:06:52Z2016This study analyzes energy efficiency trends in German and Colombian non-energy intensive sectors using data envelopment analysis (DEA) between 1998 and 2005. The results of the DEA show considerable variation in energy efficiency across non-energy intensive sectors during the sample period. At a second stage, regression analysis using panel data analysis reveals that several factors, including labor productivity, enterprise size, and capital input can be considered determinants of differences in energy efficiency among German and Colombian non-energy intensive sectors. Our results also show that different energy policies should apply in non-energy intensive sectors and that they should encourage the importance of energy efficiency in order to improve it, especially in small and medium enterprises and the industrial sector of developing countries. © Taylor and Francis Group, LLC.application/pdfhttps://doi.org/10.1080/15567249.2010.55182315567249https://repository.urosario.edu.co/handle/10336/23938engTaylor and Francis Inc.10No. 11Energy Sources, Part B: Economics, Planning and PolicyVol. 11Energy Sources, Part B: Economics, Planning and Policy, ISSN:15567249, Vol.11, No.1 (2016); pp. 1-10https://www.scopus.com/inward/record.uri?eid=2-s2.0-84962463366&doi=10.1080%2f15567249.2010.551823&partnerID=40&md5=1ea6a9a177332df040ba0e466bce5245Abierto (Texto Completo)http://purl.org/coar/access_right/c_abf2instname:Universidad del Rosarioreponame:Repositorio Institucional EdocURData envelopment analysisDeveloping countriesProductivityRegression analysisData panel analysisEnterprise sizeIndustrial sectorLabor productivityManufacturing industriesNon-energyPanel data analysisSmall and medium enterpriseEnergy efficiencyData envelopment analysisData panel analysisEnergy efficiencyNon-energy intensive sectorsEstimating and analyzing energy efficiency in German and Colombian manufacturing industries using DEA and data panel analysis. Part II: Non-energy intensive sectorsarticleArtículohttp://purl.org/coar/version/c_970fb48d4fbd8a85http://purl.org/coar/resource_type/c_6501Pardo Martínez, Clara Inés10336/23938oai:repository.urosario.edu.co:10336/239382022-05-02 07:37:16.969355https://repository.urosario.edu.coRepositorio institucional EdocURedocur@urosario.edu.co
dc.title.spa.fl_str_mv Estimating and analyzing energy efficiency in German and Colombian manufacturing industries using DEA and data panel analysis. Part II: Non-energy intensive sectors
title Estimating and analyzing energy efficiency in German and Colombian manufacturing industries using DEA and data panel analysis. Part II: Non-energy intensive sectors
spellingShingle Estimating and analyzing energy efficiency in German and Colombian manufacturing industries using DEA and data panel analysis. Part II: Non-energy intensive sectors
Data envelopment analysis
Developing countries
Productivity
Regression analysis
Data panel analysis
Enterprise size
Industrial sector
Labor productivity
Manufacturing industries
Non-energy
Panel data analysis
Small and medium enterprise
Energy efficiency
Data envelopment analysis
Data panel analysis
Energy efficiency
Non-energy intensive sectors
title_short Estimating and analyzing energy efficiency in German and Colombian manufacturing industries using DEA and data panel analysis. Part II: Non-energy intensive sectors
title_full Estimating and analyzing energy efficiency in German and Colombian manufacturing industries using DEA and data panel analysis. Part II: Non-energy intensive sectors
title_fullStr Estimating and analyzing energy efficiency in German and Colombian manufacturing industries using DEA and data panel analysis. Part II: Non-energy intensive sectors
title_full_unstemmed Estimating and analyzing energy efficiency in German and Colombian manufacturing industries using DEA and data panel analysis. Part II: Non-energy intensive sectors
title_sort Estimating and analyzing energy efficiency in German and Colombian manufacturing industries using DEA and data panel analysis. Part II: Non-energy intensive sectors
dc.subject.keyword.spa.fl_str_mv Data envelopment analysis
Developing countries
Productivity
Regression analysis
Data panel analysis
Enterprise size
Industrial sector
Labor productivity
Manufacturing industries
Non-energy
Panel data analysis
Small and medium enterprise
Energy efficiency
Data envelopment analysis
Data panel analysis
Energy efficiency
Non-energy intensive sectors
topic Data envelopment analysis
Developing countries
Productivity
Regression analysis
Data panel analysis
Enterprise size
Industrial sector
Labor productivity
Manufacturing industries
Non-energy
Panel data analysis
Small and medium enterprise
Energy efficiency
Data envelopment analysis
Data panel analysis
Energy efficiency
Non-energy intensive sectors
description This study analyzes energy efficiency trends in German and Colombian non-energy intensive sectors using data envelopment analysis (DEA) between 1998 and 2005. The results of the DEA show considerable variation in energy efficiency across non-energy intensive sectors during the sample period. At a second stage, regression analysis using panel data analysis reveals that several factors, including labor productivity, enterprise size, and capital input can be considered determinants of differences in energy efficiency among German and Colombian non-energy intensive sectors. Our results also show that different energy policies should apply in non-energy intensive sectors and that they should encourage the importance of energy efficiency in order to improve it, especially in small and medium enterprises and the industrial sector of developing countries. © Taylor and Francis Group, LLC.
publishDate 2016
dc.date.created.spa.fl_str_mv 2016
dc.date.accessioned.none.fl_str_mv 2020-05-26T00:06:52Z
dc.date.available.none.fl_str_mv 2020-05-26T00:06:52Z
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/10.1080/15567249.2010.551823
dc.identifier.issn.none.fl_str_mv 15567249
dc.identifier.uri.none.fl_str_mv https://repository.urosario.edu.co/handle/10336/23938
url https://doi.org/10.1080/15567249.2010.551823
https://repository.urosario.edu.co/handle/10336/23938
identifier_str_mv 15567249
dc.language.iso.spa.fl_str_mv eng
language eng
dc.relation.citationEndPage.none.fl_str_mv 10
dc.relation.citationIssue.none.fl_str_mv No. 1
dc.relation.citationStartPage.none.fl_str_mv 1
dc.relation.citationTitle.none.fl_str_mv Energy Sources, Part B: Economics, Planning and Policy
dc.relation.citationVolume.none.fl_str_mv Vol. 11
dc.relation.ispartof.spa.fl_str_mv Energy Sources, Part B: Economics, Planning and Policy, ISSN:15567249, Vol.11, No.1 (2016); pp. 1-10
dc.relation.uri.spa.fl_str_mv https://www.scopus.com/inward/record.uri?eid=2-s2.0-84962463366&doi=10.1080%2f15567249.2010.551823&partnerID=40&md5=1ea6a9a177332df040ba0e466bce5245
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
dc.publisher.spa.fl_str_mv Taylor and Francis Inc.
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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