Because of the importance of the energy sector's development for the performance and stability of the economy, its analysis has become an intriguing branch of the economic sciences. For this study it should be tested the characteristics of each of the industries that comprise it, as well as make...

This paper aims at characterizing the conditions of wind power deployment in order to infer a carbon price level that would provide wind power with comparable advantage over fossil fuel technologies as effective wind support policies. The analysis is conducted on Danish data from 2000 to 2010,...

We provide a spatial theory of clean growth to assess the global impact of the rise of renewable energy. We model the details of the combined production and transmission network of electricity ("the grid") that determine the supply and losses of energy in space. The local rate of clean energy...

This article describes and evaluates the effectiveness of the Consumer Assistance to Recycle and Save Act of 2009, also known as the “Cash for Clunkers” legislation. Under this law, Congress authorized persons trading in older and less fuel-efficient motor vehicles for newer and more...

The Recovery Fund recently proposed by the EU Commission marks a sea-change in European integration. Yet it will not be enough to meet the challenges Europe faces. There has been much public debate about financing, but little about the sort of concrete projects that the EU should be putting...

In this article, the long-lasting effects of the 2007-2008 global economic crises on the economy of the United States and Europe have been investigated and presented separately. In these economies, the permanence of this effect is given. Similar and different aspects are explained in terms of...

This study analyses oil price movements through the lens of an agnostic random forest model, which is based on 1,000 regression trees. It shows that this highly disciplined, yet flexible computational model reduces in-sample root mean square errors (RMSEs) by 65% relative to a standard linear...

This study analyses oil price movements through the lens of an agnostic random forest model, which is based on 1,000 regression trees. It shows that this highly disciplined, yet flexible computational model reduces in-sample root mean square errors (RMSEs) by 65% relative to a standard linear...

The shock to the global economy from COVID-19 is predicted to be faster and more severe than the 2008 global financial crisis and even the Great Depression. We assess its impact on global fossil fuel consumption and CO2 emissions over a two-year horizon. For this purpose we employ a global...

We assess the effect of the COVID-19 pandemic on global fossil fuel consumption and CO2 emissions over the two-year horizon 2020Q1-2021Q4. We apply a global vector autoregressive (GVAR) model, which captures complex spatial-temporal interdependencies across countries associated with the...