This study develops a theoretical general equilibrium model to examine optimal externality tax policy in the presence of externalities linked to one another through markets rather than technical production relationships. Analytical results reveal that the second-best externality tax rate may be...

Recent contributions have questioned whether biofuels policies actually lead to emissions reductions, and thus lower climate costs. In this paper we make two contributions to the literature. First, we study the market effects of a renewable fuel standard. Opposed to most previous studies we...

This paper evaluates alternative indicators of global economic activity and other market fundamentals in terms of their usefulness for forecasting real oil prices and global petroleum consumption. We find that world industrial production is one of the most useful indicators that has been...

We analyse the drivers of European Power Exchange (EPEX) wholesale 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...

Fossil fuels are non-renewable carbon resources, and the extraction path of these resources depends both on present and future demand. When this Hotelling feature is taken into consideration, the whole price path of carbon fuel will shift downwards as a response to the reduced cost of the...

We use a two-period model to investigate intertemporal effects of cost reductions in climate change mitigation technologies for the power sector. With imperfect climate policies, cost reductions related to carbon capture and storage (CCS) may be more desirable than com-parable cost reductions...

The paper analyzes the problem of achieving a target path of emission reductions in the electricity sector, using a scheme of tradable green certificates (TGC). There are two types of generation, renewable and fossil. The latter causes the emissions. The paper also examines effects from emission...

We propose one of the first dynamic models of the optimal transition from fossil fuels to renewables in electricity generation that takes into account the variability and intermittency of renewable energy as well as storage. This work sheds light on the extent to which variability and...

After a boom and bust cycle in the early 2010s, venture capital (VC) investments are, once again, flowing towards green businesses. In this paper, we use Crunchbase data on 150,000 US startups founded between 2000 and 2020 to better understand why VC initially did not prove successful in funding...

Proponents of Bitcoin argue that demand for electricity from Bitcoin miners can lead to an increase in renewable electricity capacity. We rigorously evaluate this claim by estimating a Bitcoin electricity demand curve and include this demand curve in a long-run model of the Texas electricity...