Energy intensity , logarithmic mean divisia index decomposition , WIOD database
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.
Das Dokument wird vom Publikationsserver der Universitätsbibliothek Mannheim bereitgestellt.
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