Quantifying the social and climate benefits of optimal international climate-related financial transfers under uncertainty
不確実性下での最適な国際気候関連資金移転の社会的・気候的便益の定量化 (AI 翻訳)
Angelo Carlino, Paolo Gazzotti, Massimo Tavoni, Andrea Castelletti
🤖 gxceed AI 要約
日本語
本論文は、気候変動対策のための国際的な資金移転の最適規模を、57地域の気候経済モデルを用いて定量化。2030年までに1.5兆ドル（中央値）の移転が必要であり、倫理的配慮と不確実性を考慮すると、所得格差の是正と最悪の気温上昇シナリオの緩和に寄与することを示した。
English
This paper quantifies optimal international climate-related financial transfers using a 57-region coupled climate-economy model. Under ethical principles and uncertainty, it finds that welfare-maximizing transfers amount to 1.5 trillion USD by 2030 (central 66% interval: 0.6–2 trillion), significantly reducing between-country income inequality and limiting worst-case temperature outcomes.
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
日本は国際気候資金の拠出国であり、本論文の示す最適移転額や倫理的配慮は、日本のODAやJCMなどの政策設計に示唆を与える。不確実性下での協力モデルは、日本のGX推進における国際協調の重要性を再確認させる。
In the global GX context
This paper addresses the critical issue of climate finance under uncertainty, contributing to the debate on fair burden-sharing and the scale of transfers needed to meet Paris Agreement goals. It provides quantitative evidence supporting the need for increased and well-targeted financial flows to low-income countries, relevant for UNFCCC negotiations and the design of mechanisms like the Green Climate Fund.
👥 読者別の含意
🔬研究者:Useful for researchers in climate economics and integrated assessment modeling, providing a framework for optimal transfer design under uncertainty.
🏢実務担当者:Corporate sustainability teams may use the findings to understand the scale of expected financial flows, influencing strategy on climate risk and opportunity in emerging markets.
🏛政策担当者:Policymakers should note the quantified transfer targets and regional allocations as inputs for international negotiations and domestic budget planning for climate finance.
📄 Abstract（原文）
Abstract Rapid global-scale deployment of mitigation and adaptation measures can substantially reduce climate change impacts. Caught in the grip of growing climate impacts and a lack of economic resources to finance climate action and economic growth, low-income countries’ requests for international financial support are rising. Here, we show how financial transfers between countries can help advance social, economic, and temperature objectives simultaneously. We quantify financial transfers across ethical principles and under uncertainty by modeling cooperative multi-agent behavior in a 57-region coupled climate-economy model. We estimate welfare-maximizing international climate-related financial transfers to be 1.5 (central 66% probability interval: 0.6–2) trillion USD by 2030 and apportion them by region and across mitigation, adaptation, and loss & damage. Climate-related financial transfers substantially reduce between-country income inequality and limit worst-case temperature outcomes.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.1088/1748-9326/ae803afirst seen 2026-07-03 05:15:55
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