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...
- Autores:
- 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
- Rights
- License
- Abierto (Texto Completo)
id |
EDOCUR2_f5fd557d426b334f13b0eaef5de48a3a |
---|---|
oai_identifier_str |
oai:repository.urosario.edu.co:10336/23938 |
network_acronym_str |
EDOCUR2 |
network_name_str |
Repositorio EdocUR - U. Rosario |
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 |
_version_ |
1814167446412591104 |