Showing 1 - 6 of 6
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...
Persistent link: https://ebvufind01.dmz1.zbw.eu/10010319214
This study analyzes carbon emission trends and drivers in 40 major economies using the WIOD database, a 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...
Persistent link: https://ebvufind01.dmz1.zbw.eu/10010368434
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) attribute...
Persistent link: https://ebvufind01.dmz1.zbw.eu/10010729340
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...
Persistent link: https://ebvufind01.dmz1.zbw.eu/10010957605
This study analyzes carbon emission trends and drivers in 40 major economies using the WIOD database, a 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...
Persistent link: https://ebvufind01.dmz1.zbw.eu/10010957760
Persistent link: https://ebvufind01.dmz1.zbw.eu/10010374622