The paper analyses the NAMEA data for Lazio region in the 2000 year. The aim is showing the extent to which NAMEA is a sound basis for understanding economy-environment and technological relationships, being also a support for policy making. This is the first exercise carried out on the basis of regional NAMEA data, which are not currently available as time series as for national indicators. The work is then also an appraisal of the Regional NAMEA in light of future more extensive data generation. We apply a shift share analysis in order to investigate the drivers of the environmental efficiency (emissions on value added) gap between Lazio and the average Italian situation. Shift share analysis allows the isolation of different forces: structural or industry mix, differential or efficiency based, and third a covariance of the first two factors. Secondly, we use information on the localisation of productive activities, merged together with emission sector coefficients from NAMEA, in order to map out the spatial distribution of ten NAMEA emissions in the Region.
Territorial productive structure and environmental efficiency indicators through regional NAMEA data
MAZZANTI, Massimiliano;
2007
Abstract
The paper analyses the NAMEA data for Lazio region in the 2000 year. The aim is showing the extent to which NAMEA is a sound basis for understanding economy-environment and technological relationships, being also a support for policy making. This is the first exercise carried out on the basis of regional NAMEA data, which are not currently available as time series as for national indicators. The work is then also an appraisal of the Regional NAMEA in light of future more extensive data generation. We apply a shift share analysis in order to investigate the drivers of the environmental efficiency (emissions on value added) gap between Lazio and the average Italian situation. Shift share analysis allows the isolation of different forces: structural or industry mix, differential or efficiency based, and third a covariance of the first two factors. Secondly, we use information on the localisation of productive activities, merged together with emission sector coefficients from NAMEA, in order to map out the spatial distribution of ten NAMEA emissions in the Region.I documenti in SFERA sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
