We solve the problem of a social planner who seeks to minimize inequality via transfers with a fixed public budget in a distribution of exogenously given incomes. The appropriate solution method depends on the objective function: If it is convex, as in the case of the absolute mean deviation, it...

Global climate change and other environmental challenges require the development of new energy technologies with lower emissions. In the near-term, R&D investments, either by government or the private sector, can bring down the costs of these lower emission technologies. However, the results of...

The mix of public and private research funding investments in alternative energy presents a challenge for isolating the effect of government R&D funding. Factors such as energy prices and environmental policy influence both private and public R&D decisions. Moreover, because government R&D is...

Climate change is an issue that requires global attention and co-operation. As climate science develops an understanding of changes to the future climate state, policy makers and engineering project planners beg to know what claims can be made on the subject with a reasonable level of...

In the wind power industry, wind speed forecasts are obtained and transformed into wind power forecasts. The Mycielski algorithm has proven to be an accurate predictor for wind speed in short-term scenarios. Moreover, Mycielski has the capability of forecasting wind power directly, instead of...

Meeting sustainability challenges requires not only innovations but also transitions towards sustainability paths. Studies which use technological innovation systems and multi-level-perspective approaches show that the development of innovation systems is a complex process, with many direct and...

This study seeks to provide a clear and comprehensive overview on the various aspects related to the current status and the future prospects of renewable energy (namely solar and wind) in Southern and Eastern Mediterranean countries (SEMCs). In order to do so, the study will first provide a...

This article examines the efficiency of wind energy production. We quantify production losses in four wind parks across Germany for 19 wind turbines with non-convex efficiency analysis. In a second stage regression, we adapt the linear regression results of Kneip, Simar, Wilson (2014) to explain...

We provide a wind power forecasting methodology that exploits many of the actual data's statistical features, in particular both-sided censoring. While other tools ignore many of the important "stylized facts" or provide forecasts for short-term horizons only, our approach focuses on medium-term...