We analyze the interactions between different renewable support schemes and the benefits of real-time pricing (RTP) using a stylized economic model with a detailed demand-side representation calibrated to the German market. We find that there are considerable differences between a market premium...

In 2013, around 121 billion US-Dollar were spend worldwide to promote the investment into renewable energy sources. The most prominent support scheme employed is a feed-in tariff, which guarantees a fixed price for electricity produced by renewable energies sources, usually for around 15 years...

We examine whether mandatory disclosure of greenhouse gas (GHG) emissions influences companies' GHG emission levels. We identify the disclosure effect by exploiting a mandate requiring UK-incorporated listed companies to disclose information on GHG emissions in their annual reports. Using a...

Antibiotic resistance constitutes a major health threat. Predicting bacterial causes of infections is key to reducing antibiotic misuse, a leading driver of antibiotic resistance. We train a machine learning algorithm on administrative and microbiological laboratory data from Denmark to predict...

Mexico plans to implement a national program to support the adoption of distributed photo-voltaic generation (DPVG) among qualified households. The main objectives of such a program would be to reduce the burden of the substantial federal energy subsidy and increase the share of renewable energy...

We examine whether a disclosure mandate for greenhouse gas emissions creates stakeholder pressure for firms to subsequently reduce their emissions. For UK-incorporated listed firms such a mandate was adopted in 2013. Using a difference-in-differences design, we find that firms affected by the...

This paper focuses on decentralized energy in Germany and how households' environmental behavior in terms of energy consumption is shaped in these contexts. It sets out to gain a more precise understanding of whether decentralized energy initiatives are a good tool to promote the adoption of...

Human decision-making differs due to variation in both incentives and available information. This generates substantial challenges for the evaluation of whether and how machine learning predictions can improve decision outcomes. We propose a framework that incorporates machine learning on...

Large-scale data show promise to provide efficiency gains through individualized risk predictions in many business and policy settings. Yet, assessments of the degree of data-enabled efficiency improvements remain scarce. We quantify the value of the availability of a variety of data...

Ecological labels are a market-oriented environmental policy instrument which is applied in a rising number of countries. Products have to meet several criteria in order to qualify for a label. Criteria on production processes of goods can potentially conflict with international trade rules....