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JUSTICE-ABM Anonymized

JUSTICE-ABM(匿名化版) (AI 翻訳)

author author

Zenodo (CERN European Organization for Nuclear Research)データセット2026-07-29#政策対象セクター: cross_sector
DOI: 10.5281/zenodo.19185070
原典: https://doi.org/10.5281/zenodo.19185070

🤖 gxceed AI 要約

日本語

JUSTICE-ABMは、統合評価モデル(IAM)とエージェントベースモデル(ABM)を結合し、国民の気候変動に対する世論、政府の気候政策、気候経済的結果の相互作用をシミュレーションする。政策・排出・気候・世論のフィードバックを通じて、緩和政策の軌道と長期的排出経路を分析する。再現性のためのデータ生成・可視化スクリプトが提供されている。

English

JUSTICE-ABM couples an Integrated Assessment Model (IAM) with an Agent-Based Model (ABM) to simulate interactions among public opinion, government climate policy, and climate-economic outcomes. It explores how voter attitudes influence mitigation policy trajectories and long-term emissions pathways, with feedback loops across policy, emissions, climate, and opinion. Reproducibility scripts for data generation and visualization are included.

Unofficial AI-generated summary based on the public title and abstract. Not an official translation.

📝 gxceed 編集解説 — Why this matters

日本のGX文脈において

日本の文脈では、気候政策の社会的受容性や世論の変化が脱炭素政策の実効性に与える影響を分析する上で示唆に富む。特に、日本の2050年カーボンニュートラル目標達成に向けた政策設計・国民合意形成の重要性を定量的に検討する枠組みとして参考になる。

In the global GX context

Globally, this model contributes to the growing literature on socio-political dimensions of climate policy, moving beyond techno-economic IAMs. It offers a reproducible toolset for researchers and policymakers to explore how public opinion shapes mitigation pathways, relevant to NDC updates and long-term strategy design under the Paris Agreement.

👥 読者別の含意

🔬研究者:Provides a coupled IAM-ABM framework to study climate policy feedback, useful for those modeling public opinion and policy dynamics.

🏢実務担当者:Limited direct applicability for corporate sustainability teams, but insights on policy uncertainty may inform scenario planning.

🏛政策担当者:Highlights how voter preferences can alter mitigation policy trajectories, stressing the need to build public consensus for ambitious climate action.

📄 Abstract(原文)

The JUSTICE-ABM model is a coupled Integrated Assessment Model (IAM) and Agent-Based Model (ABM) designed to simulate the interaction between public opinion, government climate policy, and climate-economic outcomes. This is an anonymized version of the repository. The model explores how voter attitudes toward climate change influence mitigation policy trajectories and long-term emissions pathways. The model comprises 3 interacting components, with feedback among policy, emissions, climate change, and public opinion.: Integrated Assessment Model (JUSTICE-IAM) –> Simulates economic growth, emissions, and climate change. Agent-Based Model (JUSTICE-ABM) –> Represents voters and governments that determine mitigation policy. Projection module –> Generates future projections used by voters to evaluate policy options. For reproducibility of the results and figures of the paper, please refer to: - To reproduce the simulation data, scripts are in `analysis/justice_abm/data_generation`. - To reproduce the figures, provided that the simulation data has been generated and is imported, scripts are in `analysis/justice_abm/vizualizations`.

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gxceed は公開メタデータに基づく研究支援データセットです。要約・翻訳・解説は AI 支援で生成されています。 最終的な解釈・検証は利用者が原典資料に基づいて行うことを前提とします。