Estimating and analyzing energy efficiency in German and Colombian manufacturing industries using DEA and data panel analysis. Part I Energy Intensive Sectors
2011 (English)In: Energy Sources, Part B: Economics, Planning, and Policy, ISSN 1556-7257Article in journal (Refereed) Accepted
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.
Energy efficiency, Data Envelopment Analysis, Data Panel Analysis, energy intensive sectors
Research subject SRA - Energy
IdentifiersURN: urn:nbn:se:kth:diva-47620OAI: oai:DiVA.org:kth-47620DiVA: diva2:455763
QS 20112011-11-112011-11-112012-03-21Bibliographically approved