The Model Dimensionality and Its Impacts on the Strategic and Policy Outcomes in IAMs the Findings from the RICE2020 Model

This paper studies the impacts of regional breakdowns or model dimensionality on the model’s optimal solutions. Using the United States (USA) and China (CHN) as the experimental subject, we test the various solutions related to USA and CHN, such as the Cournot-Nash equilibrium and the Lindahl equili...

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Bibliographic Details
Published in:Computational economics Vol. 62; no. 3; pp. 1087 - 1106
Main Author: Yang, Zili
Format: Journal Article
Language:English
Published: New York Springer US 01.10.2023
Springer
Springer Nature B.V
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ISSN:0927-7099, 1572-9974, 1572-9974
Online Access:Get full text
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Summary:This paper studies the impacts of regional breakdowns or model dimensionality on the model’s optimal solutions. Using the United States (USA) and China (CHN) as the experimental subject, we test the various solutions related to USA and CHN, such as the Cournot-Nash equilibrium and the Lindahl equilibrium, in the RICE2020 model under three regional breakdowns. Their solutions’ invariance and variances across different model dimensionalities indicate that modeling dimensionality may play a role in the strategic interactions among the regions in GHG mitigation. The simulation results also point out the pitfalls of the model comparisons across IAMs for climate change.
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ISSN:0927-7099
1572-9974
1572-9974
DOI:10.1007/s10614-022-10292-0