As of 2022, greenhouse gases (GHG) emissions reporting and auditing are not yet compulsory for all companies, and methodologies of measurement and estimation are not unified. We propose a machine learning-based model to estimate scope 1 and scope 2 GHG emissions of companies not reporting them...

Hydraulic fracking generated unexpected shale oil and gas booms. After these booms, voter support for Republicans rises, leading Republicans to win seats from Democrats. Roll-call voting by House members becomes more conservative after shale across issues extending beyond energy or the economy....

This study comprehensively assesses the immediate effects of extreme weather conditions and high concentrations of ambient air pollution on population health. For Germany and the years 1999 to 2008, we link the universe of all 170 million hospital admissions, along with all 8 million deaths,...

This study comprehensively assesses the immediate effects of extreme weather conditions and high concentrations of ambient air pollution on population health. For Germany and the years 1999 to 2008, we link the universe of all 170 million hospital admissions, along with all 8 million deaths,...

This paper shifts the perspective of the recent green paradox literature towards the demand side. Based on a simple model, I show that a subsidy on input factors in a Cobb-Douglas production function may contribute substantially to postponing resource extraction into the future and, thereby, to...

The paper considersan industry where the effects of pollution can be off-set by investing in adaption as a private good. The focus is not on external effects, but on economies of scale that are introducted when the costs of adapting to pollution are independent from the quantity produced. The...

There is a lot we know about climate change, but there is also a lot we don't know. Even if we knew how much CO2 will be emitted over the coming decades, we wouldn't know how much temperatures will rise as a result. And even if we could predict the extent of warming that will occur, we can say...

This paper shows that, when the price of emission allowances is sufficiently high, emission trading schemes improve the emission efficiency of highly polluting firms. The efficiency gain comes from a relative decrease in emissions rather than a relative increase in operating revenue. Part of the...

We develop a 2-period emission trading model for a stock pollutant with demand shocks resolving over time. We find precise conditions for efficiency of a stabilization mechanism where cumulative available permits decrease with excess supply in early periods. Our model describes the stabilization...

In this work, we employ an agent-based integrated assessment model to study the likelihood of transition to green, sustainable growth in presence of climate damages. The model comprises heterogeneous fossil-fuel and renewable plants, capital- and consumption-good firms and a climate box linking...