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...

Effectiveness, cost-efficiency and distribution issues are crucial for any form of future regulation. This results in the need for reliable instruments to assess regulations ex ante. Elasticities are key parameters for such instruments. We consistently estimate substitution elasticities for a...

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...

Expected Utility theory is not only applied to individual choices but also to ethical decisions, e.g. in cost-benefit analysis of climate change policy measures that affect future generations. In this context the crucial question arises whether EU theory is able to deal with 'catastrophic...

The evaluation of long-term effects of climate change in cost-benefit analysis has a long tradition in environmental economics. Since the publication of the Stern Review in 2006 the debate about the 'appropriate' discounting of future welfare and utility levels was revived and the most renowned...

Expected Utility theory is not only applied to individual choices but also to social decisions, e.g. in cost–benefit analysis of climate change policy measures that affect future generations and hence incorporate an ethical dimension. In this context the crucial question arises whether EU...

The amount of materials used worldwide in production and consumption increased by 56% from 1995 to 2008. Using an index decomposition analysis based on the logarithmic mean Divisia index, we investigate the drivers of material use, both on a global and a country scale. We exploit a panel dataset...