This paper examines the relationship between financial development, CO2 emissions, trade and economic growth using simultaneous-equation panel data models for a panel of 12 MENA countries over the period 1990 - 2011. Our results indicate that there is evidence of bidirectional causality between...

We construct the world's centers of gravity for human population, GDP and CO2 emissions by taking the best out of five recognized data sources covering the last two centuries. On the basis of a novel distorsion-free representation of these centers of gravity, we find a radical Western shift of...

This paper examines the relationship between the logarithms of CO2 emissions and real GDP in China by applying fractional integration and cointegration methods. The univariate results indicate that the two series are highly persistent, their orders of integration being around 2, whilst the...

It has been argued that a depletable resource owner might optimally increase near-term supply in response to environmental policies promoting the development of alternative resources, which might render climate policy ineffective or even counterproductive. This paper empirically confirms this...

Climate change not only impacts production and market consumption, but also the relative scarcity of non-market goods, such as environmental amenities. We study fundamental drivers of the resulting relative price changes, their potential magnitude, and their implications for climate policy in...

Carbon dioxide emissions are a major force driving climate change. We construct scenarios of CO2 emissions from fossil energy until 2100 in Europe. Major innovations are first that economic growth is based on an endogenous economic growth model and second that we calibrate our model to...

We propose an estimation strategy that accounts for two major problems raised in the empirical literature testing for the prevalence of the inverted U-shaped relation between environmental degradation and economic activity, namely the Environmental Kuznets Curve (EKC) hypothesis. First, we use...

We analyze welfare implications of policies promoting environmentally friendly vehicles employing rich Swiss micro-data on 23,000 newly purchased cars and their buyers. Our estimates reveal substantial income heterogeneity in price elasticity and electric vehicle (EV) adoption. While CO2 levies...

We analyse the drivers of European Power Exchange (EPEX) retail electricity prices between 2012 and early 2022 using machine learning. The agnostic random forest approach that we use is able to reduce in-sample root mean square errors (RMSEs) by around 50% when compared to a standard linear...

We employ hourly electricity load data for Switzerland as a real time indicator of the economic effects of the lockdown following the spread of SARS-CoV-2. Our findings reveal that following the drastic lockdown, overall electricity use decreased by 4 per cent, with a reduction of even 11.3 per...