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Estimating and analyzing energy efficiency in German and Colombian manufacturing industries using DEA and data panel analysis. Part II Non-Energy Intensive Sectors
KTH, School of Industrial Engineering and Management (ITM), Energy Technology, Energy and Climate Studies, ECS.
2011 (English)In: Energy Sources, Part B: Economics, Planning, and Policy, ISSN 1556-7257Article in journal (Refereed) Accepted
Abstract [en]

This study analysis 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 labour productive, 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 industrial sector of developing countries.

Place, publisher, year, edition, pages
Taylor & Francis , 2011.
Keyword [en]
Energy efficiency, Data Envelopment Analysis, Data Panel Analysis, non-energy intensive sectors
National Category
Energy Systems
Research subject
SRA - Energy
URN: urn:nbn:se:kth:diva-47623OAI: diva2:455765
QS 2011Available from: 2011-11-11 Created: 2011-11-11 Last updated: 2012-03-21Bibliographically approved

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Pardo Martínez, Clara Inés
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