Towards Comprehensive Economic Assessments of Climate Change Impacts
気候変動影響の包括的な経済評価に向けて (AI 翻訳)
Anton Orlov, Benjamin Blanz, Leonard Borchert, Paul Waidelich, Moritz A. Drupp, Felix Schaumann, Vito Avakumovic, Jana Sillmann
🤖 gxceed AI 要約
日本語
気候変動の経済影響評価手法をレビューし、既存手法の限界とトレードオフを整理。直接・間接影響や極端現象の影響を包括的に評価できる手法はなく、資産レベルの影響と地域間・部門間波及の統合が課題。将来研究の優先事項を提示し、モジュール型のマルチスケール統合フレームワークを提案。
English
This review assesses economic modeling approaches for climate impacts, highlighting their limitations and trade-offs. No single approach captures both direct and indirect impacts, especially from extremes, across scales. The authors propose a modular, multi-scale integration framework to improve comprehensive assessments and support policy evaluation.
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
日本では、気候変動の経済影響評価が適応政策やTCFD開示のシナリオ分析に活用される。本レビューは、影響評価手法の限界と統合の必要性を示し、日本の政策立案や企業のシナリオ分析の改善に示唆を与える。
In the global GX context
Globally, this review informs the ongoing discourse on climate risk assessment and adaptation planning, aligning with TCFD/ISSB scenario analysis needs. It underscores the need for integrated modeling to capture spillover effects, relevant for financial stability assessments and transition planning.
👥 読者別の含意
🔬研究者:モデリング手法の限界と統合の方向性を把握するためのレビューとして有用。
🏢実務担当者:シナリオ分析の前提となる影響評価の不確実性を理解するための背景知識を提供。
🏛政策担当者:適応政策の費用便益分析やリスク評価の改善に資する手法論の整理。
📄 Abstract（原文）
Abstract Robust and comprehensive economic assessments of climate change impacts are essential for effective mitigation and adaptation policy. However, estimates of economic impacts remain highly uncertain and vary substantially across modelling approaches. To increase transparency and cross-disciplinary understanding, we review the key strengths and limitations of widely used economic modelling approaches. We find that none of the modelling approaches can comprehensively assess both direct and indirect impacts of climate change, particularly those caused by climate extremes, across spatiotemporal scales. Modelling approaches typically face trade-offs between broad regional and sectoral coverage and high granularity. Yet, there is a growing need for assessments that link asset-level impacts to cross-regional and cross-sectoral spillover effects. Future research should focus on: (i) better quantifying the persistence of climate change impacts on economic output, (ii) integrating often-omitted climate hazards, (iii) improving the representation of interactions among environmental, social, economic, and financial systems, and (iv) advancing cross-sectoral adaptation modelling across scales. We propose a modular, multi-scale integration of complementary modelling approaches that can enable more comprehensive assessments of socioeconomic impacts from local to global scales and improve the representation of persistent climate impacts on socioeconomic development. The proposed framework can support more robust evaluation of mitigation and adaptation policies and better guide decision-making.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.1007/s41885-026-00205-yfirst seen 2026-08-17 04:56:55
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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。