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Estimating and analyzing energy efficiency in German and Colombian manufacturing industries using DEA and data panel analysis. Part I 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]

In this paper, 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 labour productive, 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.

Place, publisher, year, edition, pages
Taylor & Francis , 2011.
Keyword [en]
Energy efficiency, Data Envelopment Analysis, Data Panel Analysis, energy intensive sectors
National Category
Energy Systems
Research subject
SRA - Energy
URN: urn:nbn:se:kth:diva-47620OAI: diva2:455763
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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