We propose the use of a three-level random intercept model to measure the degree of environmental policy performance of different countries and to study its determinants. Inspired by the literature on multilevel latent models and Item Response Theory (IRT), this framework treats policy...

Characterizing the future performance of energy technologies can improve the development of energy policies that have net benefits under a broad set of future conditions. In particular, decisions about public investments in research, development, and demonstration (RD&D) that promote...

Expert elicitations of future energy technology costs can improve energy policy design by explicitly characterizing uncertainty. However, the recent proliferation of expert elicitation studies raises questions about the reliability and comparability of the results. In this paper, we standardize...

The authors recommend that the G20 target innovative green-technology SMEs as an opportunity to promote financial de-risking while addressing Paris Agreement commitments and UN Sustainable Development Goals. This should be achieved by creating signals for private investors through: (1) a...

The authors recommend that the G20 target innovative green-technology SMEs as an opportunity to promote financial de-risking while addressing Paris Agreement commitments and UN Sustainable Development Goals. This should be achieved by creating signals for private investors through: (1) 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...

This paper investigates the role of Intellectual Property Rights (IPR) protection and Environmental Policies (EPs) on clean (renewable) and dirty (fossil-based) technology diffusion from top-innovators. IPR protection and EPs are extensively debated policy tools, as IPR protection addresses...

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 this paper we present and discuss the results of an expert elicitation survey on solar technologies. Sixteen leading European experts from the academic world, the private sector and international institutions took part in this expert elicitation survey on Photovoltaic (PV) and Concentrated...

Expert elicitation is a process for eliciting subjective probability distributions from experts about items of interest to decision makers. These methods have been increasingly applied in the energy domain to collect information on the future cost and performance of specific energy technologies...