We present a critical analysis of the simulation framework RICE-N, an integrated assessment model (IAM) for evaluating the impacts of climate change on the economy. We identify key issues with RICE-N, including action masking and irrelevant actions, and suggest improvements such as utilizing tariff revenue and penalizing overproduction. We also critically engage with features of IAMs in general, namely overly optimistic damage functions and unrealistic abatement cost functions. Our findings contribute to the ongoing efforts to further develop the RICE-N framework in an effort to improve the simulation, making it more useful as an inspiration for policymakers.
@article{arxiv.2307.13894,
title = {AI4GCC - Team: Below Sea Level: Critiques and Improvements},
author = {Bram Renting and Phillip Wozny and Robert Loftin and Claudia Wieners and Erman Acar},
journal= {arXiv preprint arXiv:2307.13894},
year = {2023}
}
Comments
Presented at AI For Global Climate Cooperation Competition, 2023 (arXiv:cs/2307.06951)