Topic Enviromental Markets

The Air Quality and Well-being Effects of Low Emission Zones

This study provides the first evidence of the subjective well-being impacts of low emission zones (LEZs) while also undertaking a comprehensive analysis of their air quality effects. We identify causal impacts by exploiting the zones’ introduction date with difference-in-differences designs robust to staggered implementations and time-varying treatment effects. Results show air quality improvements ...

The Impact of Public Procurement on Financial Barriers to General and Green Innovation

This study investigates whether public procurement mitigates or exacerbates innovative enterprises’ financial constraints. We distinguish between general and environmentally beneficial innovative enterprises. Theory suggests that the treatment effects of public procurement, particularly when mediated by the demand-pull effect, may lower a company’s funding constraints for innovation. We test this theory ...

The New European Carbon Border Adjustment Mechanism

In October 2023, the EU Carbon Border Adjustment Mechanism (CBAM), a part of the reform of the European Emissions Trading System (EU ETS), will come into effect. Currently, energy-intensive industries do not need to purchase all of the necessary EU ETS allowances on the market to remain globally competitive, as the remaining allowances are freely allocated to them. The CBAM plans to gradually replace ...

De-Fueling Externalities: How Tax Salience and Fuel Substitution Mediate Climate and Health Benefits

This paper provides a comprehensive evaluation of the world’s largest environmental tax reform. We compare carbon and air pollutant emissions of the German transport sector and synthetic counterfactuals following the 1999 eco-tax reform, and find average re- ductions in external damages of around 80 billion Euros. We further show that the eco-tax induced low-carbon innovation and document much stronger ...

Geographical Balancing of Wind Power Decreases Storage Needs in a 100% Renewable European Power Sector

To reduce greenhouse gas emissions, many countries plan to massively expand wind power and solar photovoltaic capacities. These variable renewable energy sources require additional flexibility in the power sector. Both geographical balancing enabled by interconnection and electricity storage can provide such flexibility. In a 100% renewable energy scenario of twelve central European countries, we investigate ...

Facilitating the Transport and Heating Transition: Strengthen Carbon Pricing, Introduce a Climate Dividend, and Reduce Adaptation Costs

Despite the easing of prices on the energy markets, private households continue to be burdened by elevated prices. The planned increase the planned increase in the carbon price for transport and heating will raise the burden on private households even further. These additional costs are unequally distributed and have a regressive effect, as poor households must spend much more relative to their net ...

The Energy-Price Channel of (European) Monetary Policy

This study examines whether central banks can combat inflation that is caused by rising energy prices. By using a high-frequency event study and a Structural Vector Autoregression, we find evidence that the European Central Bank (ECB) and the Federal Reserve (Fed) are capable of doing so by affecting domestic and global energy prices. This “energy-price channel” of monetary policy plays an important ...

Reducing Energy System Model Distortions from Unintended Storage Cycling through Variable Costs

Energy system models are used for policy decisions and technology designs. If not carefully used, models give implausible outputs and mislead decision-making. One implausible effect is “unintended storage cycling”, which is observable as simultaneous storage charging and discharging. Methods to remove such misleading effects exist, but are computationally inefficient and sometimes ineffective. Through ...

Kazakhstan: Decarbonisation Pathways towards a Net Zero Future by 2060 - The Opportunities and Challenges ahead: Final Report

Policy Evaluation of Waste Pricing Programs Using Heterogeneous Causal Effect Estimation

Using machine learning methods in a quasi-experimental setting, I study the heterogeneous effects of introducing waste prices - unit prices on household unsorted waste disposal - on waste demands and municipal costs. Using a unique panel of Italian municipalities with large variation in prices and observables, I show that waste demands are nonlinear. I find evidence of constant elasticities at low ...