This paper provides an empirical analysis of the determinants of energy efficiency in fossil fuel electricity generation across 28 OECD countries over the period 1981-2006, with particular attention to the role played by technological development and the availability of energy efficient...

This paper studies innovation dynamics in efficiency improving electricity generation technologies as an important means of mitigating climate change impacts. Relevant patents are identified and used as an indicator of innovation. We find that patenting in efficiency improving technologies has...

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 analyses the effect of skilled migration on two measures of innovation, patenting and citations of scientific publications, in a panel of 20 European countries. Skilled migrants positively contribute to the knowledge formation in host countries as they add to the pool of skills in...

This paper analyzes the effect of environmental policies on the direction of energy innovation across countries over the period 1990-2012. Our novelty is to use threshold regression models to allow for discontinuities in policy effectiveness depending on a country's relative competencies in...

The diffusion of renewable energy in the power system implies high supply variability. Lacking economically viable storage options, renewable energy integration has so far been possible thanks to the presence of fast-reacting mid-merit fossil-based technologies, which act as back-up capacity....

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...

Expert elicitations are frequently used to characterize future technology outcomes. However their usefulness is limited, in part because: estimates across studies are not easily comparable; choices in survey design and expert selection may bias results; and over-confidence is a persistent...

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...

This paper aims at improving the application of the learning curve, a popular tool used for forecasting future costs of renewable technologies in integrated assessment models (IAMs). First, we formally discuss under what assumptions the traditional (OLS) estimates of the learning curve can...