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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Taylor and Francis Inc.
2016
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| Acceso en línea: | https://repository.urosario.edu.co/handle/10336/23938 https://doi.org/10.1080/15567249.2010.551823 |
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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 |
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EdocUR - Universidad del Rosario |
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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 |