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...

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...

This paper investigates the factors (such as different sources of financing, energy audits and internal monitoring activities) affecting the propensity of European small and medium sized enterprises (SMEs) to adopt energy efficiency measures (EEMs). For this purpose, a Probit model is estimated...

We provide evidence of an energy efficiency gap in China. Using an incentivized field experiment, we document that providing information to consumers on the energy costs of lightbulbs significantly affects their willingness to pay for energy efficient bulbs. Unlike previous literature, we do not...

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...

Non-pecuniary incentives motivated by insights from psychology (“nudges”) have been shown to be effective tools to change behavior in a variety of fields. An often unanswered question relevant for public policy is whether these promising interventions can be scaled up. In cooperation with a...

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...

Non-pecuniary incentives motivated by insights from psychology (“nudges”) have been shown to be effective tools to change behavior in a variety of fields. An often unanswered question relevant for public policy is whether these promising interventions can be scaled up. In cooperation with a...