GTAP Resources: Resource Display
| GTAP Resource #7560 |
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"Integrating CGE Modeling and AI-Based Scenario Analysis for Climate Policy" by Christoph, Joel Abstract This paper develops and applies a dynamic Computable General Equilibrium (CGE) model to analyze how climate policy instruments, including carbon taxes, border carbon adjustments, and green technology subsidies, interact with global trade and sectoral dynamics. An AI-based scenario module explores uncertainties in technological innovation and emission pathways, yielding novel insights into the robustness and cost-effectiveness of different policy mixes. Results suggest that flexible, well-targeted climate interventions can achieve meaningful emissions reductions with relatively moderate impacts on GDP, especially when supplemented by innovation incentives. We also highlight methodological advances in CGE modeling, including parameter updating and the incorporation of distributional considerations through micro-simulation. These findings underscore the importance of integrating emergent technologies and modeling techniques to inform evidence-based climate policies on both national and global scales. |
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- Climate change policy - Environmental policies - Dynamic modeling - Model extension/development - Model validation and sensitivity analysis - Partial and general equilibrium models - Global |
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Last Modified: 6/23/2025 2:25:40 PM
