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

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  • Zili Yang

    (The State University of New York at Binghamton)

Abstract

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.

Suggested Citation

  • Zili Yang, 2023. "The Model Dimensionality and Its Impacts on the Strategic and Policy Outcomes in IAMs the Findings from the RICE2020 Model," Computational Economics, Springer;Society for Computational Economics, vol. 62(3), pages 1087-1106, October.
    • Handle: RePEc:kap:compec:v:62:y:2023:i:3:d:10.1007_s10614-022-10292-0
    DOI: 10.1007/s10614-022-10292-0
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    Cited by:

    1. Lin, Fan & Xie, Danyang, 2024. "The Role of R&D for Climate Change Mitigation in China: a Dynamic General Equilibrium Analysis," MPRA Paper 123556, University Library of Munich, Germany.

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