Paper: arXiv 2411.06185
Authors: Stéphane Crépey, Mekonnen Tadese, Gauthier Vermandel
Abstract
Emissions markets play a vital role in emissions reduction by incentivizing firms to minimize costs. However, their effectiveness heavily depends on the decisions of policymakers, future economic activity, and the availability of abatement technologies. This study investigates how variations in regulatory standards, firms’ abatement costs, and emission levels influence allowance prices and firms’ abatement efforts. This is done in a Radner equilibrium framework that incorporates intertemporal decision-making and uncertainty, enabling a comprehensive analysis of market dynamics and outcomes. The findings provide valuable insights for policymakers aiming to enhance the design and efficiency of emissions trading systems through a deeper understanding of stakeholder responses across varying market conditions.
Complexity vs Empirical Score
- Math Complexity: 8.0/10
- Empirical Rigor: 3.0/10
- Quadrant: Lab Rats — theoretically deep, empirically untested
Why this score: The paper presents a rigorous theoretical framework using discrete-time Radner equilibrium and implicit function theorems to model emissions trading sensitivity. While mathematically strong and novel in its multi-agent elasticity analysis, it relies on theoretical/numerical simulations rather than empirical data backtesting.
Research Flowchart
flowchart TD
A[Research Goal: Analyze sensitivity of allowance prices & abatement to market variations] --> B[Inputs: Regulatory standards, abatement costs, emission levels & uncertainty]
B --> C[Methodology: Discrete-Time Radner Equilibrium Framework]
C --> D[Computational Process: Intertemporal optimization of firm decisions under uncertainty]
D --> E[Outcomes: Quantitative insights on allowance price dynamics & firm abatement responses]
E --> F[Policy Value: Enhanced design & efficiency of Emissions Trading Systems]