GTAP Resources: Resource Display
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"Integrating Advanced 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 on-the-fly parameter updating and the incorporation of distributional considerations through micro-simulation. These findings underscore the importance of integrating emergent technologies and advanced 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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Public Access  Paper (154.2 KB) Replicated: 0 time(s)Restricted Access No documents have been attached. Special Instructions No instructions have been specified. |
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Last Modified: 9/15/2023 2:05:45 PM
