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...

We develop a dynamic regulation game for a stock externality under asymmetric information and future market uncertainty. Within this framework, regulation is characterized as the implementation of a welfare-maximization program conditional on informational constraints. We identify the most...

This paper develops an analytical model to quantify the costs and distributional effects of various fiscal options for allocating the (large) rents created under prospective cap-and-trade programs to reduce domestic, energy-related CO2 emissions. The trade-off between cost effectiveness and...

Introduction -- Economic Resilience and Regional Disparities: The Value Added of Spatial Analysis -- Spatial Econometric Models: Theory -- A Tutorial on Modeling Geographic, Economic and Social Interactions Using GIS Methods with R -- Resilience to Climate Change: Spatial Ricardian Analysis --...

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...

In this work, we ask whether tradable emissions permits, based on the cap-and-trade principle, provide better climate change and economic projections than alternative regulations for GHG emissions, such as operational permits which are commonly used to mitigate non-GHG emissions (prevention...