The abatement of non-CO2 greenhouse gases (OGHG) has proved to be of paramount importance for reaching global mitigation targets. The modeling of their abatement is normally carried out referring to marginal abatement cost (MAC) curves, which by now represent a standard approach for such an...

This paper examines how changes in an international climate regime would affect the European decarbonization strategy and costs through the mechanisms of trade, technology, and innovation. We present the results from the Energy Modeling Forum (EMF) model comparison study on European climate...

The extraction and processing of unconventional oil is more energy intensive and has larger negative environmental impacts than the extraction of conventional oil. The European Union (EU) estimates that oil sands lead to 22% more emissions than conventional oil. The EU is very concerned by the...

We study the eventual structural differences of climate change leading ‘actors’ such as Northern EU countries, and ‘lagging actors’ - southern EU countries and the ‘Umbrella group’ - with regard to long run (1960-2001) carbon-income relationships. Parametric and semi parametric panel...

Meeting the targets of climate change mitigation set by the Paris Agreement entails a huge transformation of the energy sector, as low- or no-carbon technologies must gradually substitute traditional, fossil-based technologies. In this perspective, the vast majority of energy analyses and...

We study the structural differences among climate change leading "factors" - Northern EU members -, and lagging actors - southern EU countries and the "Umbrella group" - with regard to long run carbon-income relationships. Homogeneous and heterogeneous panel models show that the groups of...

The Energy Modeling Forum 28 (EMF28) performed a large-scale model comparison exercise to illustrate different technology pathways for cutting European greenhouse gas emissions by 80% by 2050. Focusing on selected countries (France, Germany, Italy, Sweden and UK), this paper first analyses...