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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Autor Principal: Martínez, C. I. Pardo
Formato: Artículo (Article)
Lenguaje:Inglés (English)
Publicado: Taylor and Francis Inc. 2015
Materias:
Acceso en línea:https://repository.urosario.edu.co/handle/10336/23937
https://doi.org/10.1080/15567249.2010.540625
id ir-10336-23937
recordtype dspace
spelling ir-10336-239372022-05-02T12:37:21Z Estimating and analyzing energy efficiency in German and Colombian manufacturing industries using dea and data panel analysis. Part I: Energy-intensive sectors Martínez, C. I. Pardo 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 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. 2015 2020-05-26T00:06:52Z info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion 15567249 https://repository.urosario.edu.co/handle/10336/23937 https://doi.org/10.1080/15567249.2010.540625 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
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
spellingShingle 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
Martínez, C. I. Pardo
Estimating and analyzing energy efficiency in German and Colombian manufacturing industries using dea and data panel analysis. Part I: 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.
format Artículo (Article)
author Martínez, C. I. Pardo
author_facet Martínez, C. I. Pardo
author_sort Martínez, C. I. Pardo
title Estimating and analyzing energy efficiency in German and Colombian manufacturing industries using dea and data panel analysis. Part I: 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
publisher Taylor and Francis Inc.
publishDate 2015
url https://repository.urosario.edu.co/handle/10336/23937
https://doi.org/10.1080/15567249.2010.540625
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