Estimating and analyzing energy efficiency in German and Colombian manufacturing industries using dea and data panel analysis. Part I: Energy-intensive sectors

In this article, data envelopment analysis (DEA) is employed to study the comparative performance of German and Colombian energy-intensive sectors between 1998 and 2005. The results of the DEA indicate that the great majority of energy-intensive sectors improved on this index during the sample perio...

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Tipo de recurso:
Fecha de publicación:
2015
Institución:
Universidad del Rosario
Repositorio:
Repositorio EdocUR - U. Rosario
Idioma:
eng
OAI Identifier:
oai:repository.urosario.edu.co:10336/23937
Acceso en línea:
https://doi.org/10.1080/15567249.2010.540625
https://repository.urosario.edu.co/handle/10336/23937
Palabra clave:
Data envelopment analysis
Economics
Investments
Productivity
Regression analysis
Climate stabilization
Comparative performance
Data panel analysis
Energy-intensive sectors
Manufacturing industries
Production structures
Sustainable economic development
Technology development
Energy efficiency
Data envelopment analysis
Data panel analysis
Energy efficiency
Energy intensive sectors
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License
Abierto (Texto Completo)
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oai_identifier_str oai:repository.urosario.edu.co:10336/23937
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repository_id_str
spelling 522207406002020-05-26T00:06:52Z2020-05-26T00:06:52Z2015In this article, data envelopment analysis (DEA) is employed to study the comparative performance of German and Colombian energy-intensive sectors between 1998 and 2005. The results of the DEA indicate that the great majority of energy-intensive sectors improved on this index during the sample period, demonstrating that energy input is an important variable within the production structure and a key element in technology development. At a second stage, regression analysis using panel data analysis reveals that several factors, including labor productivity, the share of electricity, investments and enterprise size can be considered determinants of differences in energy efficiency among German and Colombian energy-intensive sectors. Our results also show that different energy policies should apply, and that they should encourage the importance of energy efficiency in order to achieve a sustainable economic development and climate stabilization today and in the near future.application/pdfhttps://doi.org/10.1080/15567249.2010.54062515567249https://repository.urosario.edu.co/handle/10336/23937engTaylor and Francis Inc.331No. 3322Energy Sources, Part B: Economics, Planning and PolicyVol. 10Energy Sources, Part B: Economics, Planning and Policy, ISSN:15567249, Vol.10, No.3 (2015); pp. 322-331https://www.scopus.com/inward/record.uri?eid=2-s2.0-84920956435&doi=10.1080%2f15567249.2010.540625&partnerID=40&md5=481f3eb9511e3cf12b403ddca5a7c67eAbierto (Texto Completo)http://purl.org/coar/access_right/c_abf2instname:Universidad del Rosarioreponame:Repositorio Institucional EdocURData envelopment analysisEconomicsInvestmentsProductivityRegression analysisClimate stabilizationComparative performanceData panel analysisEnergy-intensive sectorsManufacturing industriesProduction structuresSustainable economic developmentTechnology developmentEnergy efficiencyData envelopment analysisData panel analysisEnergy efficiencyEnergy intensive sectorsEstimating and analyzing energy efficiency in German and Colombian manufacturing industries using dea and data panel analysis. Part I: Energy-intensive sectorsarticleArtículohttp://purl.org/coar/version/c_970fb48d4fbd8a85http://purl.org/coar/resource_type/c_6501Pardo Martínez, Clara Inés10336/23937oai:repository.urosario.edu.co:10336/239372022-05-02 07:37:21.28852https://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 I: Energy-intensive sectors
title Estimating and analyzing energy efficiency in German and Colombian manufacturing industries using dea and data panel analysis. Part I: Energy-intensive sectors
spellingShingle Estimating and analyzing energy efficiency in German and Colombian manufacturing industries using dea and data panel analysis. Part I: Energy-intensive sectors
Data envelopment analysis
Economics
Investments
Productivity
Regression analysis
Climate stabilization
Comparative performance
Data panel analysis
Energy-intensive sectors
Manufacturing industries
Production structures
Sustainable economic development
Technology development
Energy efficiency
Data envelopment analysis
Data panel analysis
Energy efficiency
Energy intensive sectors
title_short Estimating and analyzing energy efficiency in German and Colombian manufacturing industries using dea and data panel analysis. Part I: Energy-intensive sectors
title_full Estimating and analyzing energy efficiency in German and Colombian manufacturing industries using dea and data panel analysis. Part I: Energy-intensive sectors
title_fullStr Estimating and analyzing energy efficiency in German and Colombian manufacturing industries using dea and data panel analysis. Part I: Energy-intensive sectors
title_full_unstemmed Estimating and analyzing energy efficiency in German and Colombian manufacturing industries using dea and data panel analysis. Part I: Energy-intensive sectors
title_sort Estimating and analyzing energy efficiency in German and Colombian manufacturing industries using dea and data panel analysis. Part I: Energy-intensive sectors
dc.subject.keyword.spa.fl_str_mv Data envelopment analysis
Economics
Investments
Productivity
Regression analysis
Climate stabilization
Comparative performance
Data panel analysis
Energy-intensive sectors
Manufacturing industries
Production structures
Sustainable economic development
Technology development
Energy efficiency
Data envelopment analysis
Data panel analysis
Energy efficiency
Energy intensive sectors
topic Data envelopment analysis
Economics
Investments
Productivity
Regression analysis
Climate stabilization
Comparative performance
Data panel analysis
Energy-intensive sectors
Manufacturing industries
Production structures
Sustainable economic development
Technology development
Energy efficiency
Data envelopment analysis
Data panel analysis
Energy efficiency
Energy intensive sectors
description In this article, data envelopment analysis (DEA) is employed to study the comparative performance of German and Colombian energy-intensive sectors between 1998 and 2005. The results of the DEA indicate that the great majority of energy-intensive sectors improved on this index during the sample period, demonstrating that energy input is an important variable within the production structure and a key element in technology development. At a second stage, regression analysis using panel data analysis reveals that several factors, including labor productivity, the share of electricity, investments and enterprise size can be considered determinants of differences in energy efficiency among German and Colombian energy-intensive sectors. Our results also show that different energy policies should apply, and that they should encourage the importance of energy efficiency in order to achieve a sustainable economic development and climate stabilization today and in the near future.
publishDate 2015
dc.date.created.spa.fl_str_mv 2015
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/10.1080/15567249.2010.540625
dc.identifier.issn.none.fl_str_mv 15567249
dc.identifier.uri.none.fl_str_mv https://repository.urosario.edu.co/handle/10336/23937
url https://doi.org/10.1080/15567249.2010.540625
https://repository.urosario.edu.co/handle/10336/23937
identifier_str_mv 15567249
dc.language.iso.spa.fl_str_mv eng
language eng
dc.relation.citationEndPage.none.fl_str_mv 331
dc.relation.citationIssue.none.fl_str_mv No. 3
dc.relation.citationStartPage.none.fl_str_mv 322
dc.relation.citationTitle.none.fl_str_mv Energy Sources, Part B: Economics, Planning and Policy
dc.relation.citationVolume.none.fl_str_mv Vol. 10
dc.relation.ispartof.spa.fl_str_mv Energy Sources, Part B: Economics, Planning and Policy, ISSN:15567249, Vol.10, No.3 (2015); pp. 322-331
dc.relation.uri.spa.fl_str_mv https://www.scopus.com/inward/record.uri?eid=2-s2.0-84920956435&doi=10.1080%2f15567249.2010.540625&partnerID=40&md5=481f3eb9511e3cf12b403ddca5a7c67e
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
_version_ 1818107018996613120

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