Combining unique data bases on emissions with sectoral output and employment data, we study the sources of the fall in world-wide SO2 emissions and estimate the impact of trade on emissions. Contrarily to concerns raised by environmentalists, an emission-decomposition exercise shows that scale...

Bio-energy has the potential to be a key mitigation option if combined with carbon capture and sequestration (BECCS) because it generates electricity and absorbs emissions at the same time. However, biomass is not distributed evenly across the globe, and regions with a potentially high demand...

The forest conservation policy instrument REDD (Reducing Emissions from Deforestation and Forest Degradation) is designed to compensate governments of tropical countries for their efforts to conserve forests. Food insecure countries that are specialized in agriculture and have weak institutions,...

Illegal logging is widely recognized as a major economic problem and one of the causes of environmental degradation. Increasing awareness of its negative effects has fostered a wide range of proposals to combat it by major international conservation groups and political organizations. Following...

Climate change mitigation can be achieved, according to many, by means of Reducing emissions from deforestation and forest degradation in the Tropics (REDD). Within the climate change policy debate we thus find discussions on how to reduce GHG emissions by designing appropriate REDD programmes...

High dimensional composite index makes experts' preferences in set-ting weights a hard task. In the literature, one of the approaches to derive weights from a data set is Principal Component or Factor Analysis that, although conceptually different, they are similar in results when FA is based on...

In this article, we propose a cointegration-based Permanent-Transitory decomposition for non-stationary Dynamic Factor Models. Our methodology exploits the cointegration relations among the observable variables and assumes they are driven by a common and an idiosyncratic component. The common...

We develop a structural econometric model to study the impacts of El Niño Southern Oscillation (ENSO) on Colombian coffee production, exports and price. Our empirical specification is consistent with an economic model of the coffee market that, in the short-run, is characterized by a...

The aim of this paper is to analyze the relationship between different types of uncertainty and stock returns of the renewable energy and the oil & gas sectors. We use the quantile regression approach developed by Koenker and d’Orey (1987; 1994) to assess which uncertainties are the potential...