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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Autor Principal: Pardo Martínez, Clara Inés
Formato: Artículo (Article)
Lenguaje:Inglés (English)
Publicado: Taylor and Francis Inc. 2016
Materias:
Acceso en línea:https://repository.urosario.edu.co/handle/10336/23938
https://doi.org/10.1080/15567249.2010.551823
id ir-10336-23938
recordtype dspace
spelling ir-10336-239382022-05-02T12:37:16Z Estimating and analyzing energy efficiency in German and Colombian manufacturing industries using DEA and data panel analysis. Part II: Non-energy intensive sectors Pardo Martínez, Clara Inés 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 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. 2016 2020-05-26T00:06:52Z info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion 15567249 https://repository.urosario.edu.co/handle/10336/23938 https://doi.org/10.1080/15567249.2010.551823 eng info:eu-repo/semantics/openAccess application/pdf Taylor and Francis Inc. instname:Universidad del Rosario
institution EdocUR - Universidad del Rosario
collection DSpace
language Inglés (English)
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
spellingShingle 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
Pardo Martínez, Clara Inés
Estimating and analyzing energy efficiency in German and Colombian manufacturing industries using DEA and data panel analysis. Part II: 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.
format Artículo (Article)
author Pardo Martínez, Clara Inés
author_facet Pardo Martínez, Clara Inés
author_sort Pardo Martínez, Clara Inés
title Estimating and analyzing energy efficiency in German and Colombian manufacturing industries using DEA and data panel analysis. Part II: 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
publisher Taylor and Francis Inc.
publishDate 2016
url https://repository.urosario.edu.co/handle/10336/23938
https://doi.org/10.1080/15567249.2010.551823
_version_ 1740172090176176128
score 12,111491