Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/80429
Authors: 
De Cian, Enrica
Schymura, Michael
Verdolini, Elena
Voigt, Sebastian
Year of Publication: 
2013
Series/Report no.: 
ZEW Discussion Papers 13-052
Abstract: 
This study analyzes energy intensity trends and drivers in 40 major economies using the WIOD database, a novel harmonized and consistent dataset of input-output table time series accompanied by environmental satellite data. We use logarithmic mean Divisia index decomposition to (1) study trends in global energy intensity between 1995 and 2007, (2) attribute efficiency changes to either changes in technology or changes in the structure of the economy, and (3) highlight sectoral and regional differences. We first show that heterogeneity within each sector across countries is high. These general trends within the sectors are dominated by large economies, first and foremost the United States. In most cases, heterogeneity is lower within each country across the different sectors. Regarding changes of energy intensity at the country level, improvements between 1995 and 2007 are largely attributable to technological change while structural change is less important in most countries. Notable exceptions are Japan, the United States, Australia, Taiwan, Mexico and Brazil where a change in the industry mix was the main driver behind the observed energy intensity reduction.
Subjects: 
Energy intensity
Logarithmic mean Divisia index decomposition
WIOD database
JEL: 
Q43
C43
Document Type: 
Working Paper

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