Augmented Finance for Climate Action: A Systematic Review of AI, IoT, and Blockchain Applications in Sustainable Finance
気候変動対策のための拡張金融：持続可能な金融におけるAI、IoT、ブロックチェーン応用の系統的レビュー (AI 翻訳)
Nadia Mansour
🤖 gxceed AI 要約
日本語
本論文は、持続可能な金融におけるAI、IoT、ブロックチェーンの役割を系統的にレビューし、環境影響の測定・報告・検証（MRV）、物理的・移行リスクの制御、ESG分析とグリーンウォッシュ検出における技術の可能性を明らかにした。情報非対称性や透明性ギャップの解消に寄与する一方、アルゴリズムバイアスやデータガバナンス、規制の遅れなどの課題も指摘。将来の研究課題として影響評価、アルゴリズム透明性、金融安定性への影響を提案している。
English
This systematic review of 42 studies (2018–2025) examines AI, IoT, and blockchain in sustainable finance. It identifies three application areas: enhanced MRV of environmental impacts, improved physical and transition risk control via predictive modeling, and better ESG analysis and greenwashing detection. The paper highlights potential to address information asymmetry but notes challenges like algorithmic bias, data governance, and regulatory delays. It proposes a future research agenda focusing on impact assessment, algorithmic transparency, and financial stability implications.
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SSBJや有報での気候関連開示が進む中、AIやIoT・ブロックチェーンを活用したMRVやリスク分析は実務上の関心が高い。本レビューは技術導入の全体像を示し、日本企業の開示高度化やグリーンウォッシュ防止に示唆を与える。
In the global GX context
This review directly supports global climate disclosure frameworks (TCFD, ISSB, CSRD) by showcasing how AI, IoT, and blockchain can enhance MRV, risk assessment, and ESG integrity. It offers a structured overview for stakeholders looking to integrate technology into sustainable finance practices and transition finance initiatives.
👥 読者別の含意
🔬研究者:Provides a comprehensive synthesis of AI/IoT/blockchain in climate finance, identifying research gaps and future directions.
🏢実務担当者:Offers practical insights into deploying technology for MRV, risk management, and ESG analysis to improve transparency and compliance.
🏛政策担当者:Highlights regulatory challenges and the need for governance frameworks to address algorithmic bias and data quality in climate finance.
📄 Abstract（原文）
Through assessing the roles of artificial intelligence (AI), Internet of Things (IoT), and blockchain in augmented finance, a critical synthesis of the literature for addressing the complex financial challenges that accompany climate change is provided. This systematic review synthesizes the existing literature to identify how these technologies may help in the context of sustainable finance. Following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, we reviewed and analyzed 42 peer-reviewed studies published between 2018 and 2025. Our results are applicable in three general areas: (1) increased measurement, reporting, and verification (MRV) of environmental impacts through employing IoT and blockchain to ensure transparency and traceability; (2) better physical and transition risk control using predictive AI modeling; and (3) better environmental, social, and governance (ESG) analysis and detection of greenwashing and risk reduction via alternative data. We highlight the power of these technologies to address problems such as information asymmetry and transparency gaps in impact chains. However, significant challenges such as algorithmic bias, difficulties associated with data governance, and regulatory delays persist. This study addresses this critical gap by synthesizing the evidence into a cohesive overview of the augmented finance landscape, identifying key challenges and priorities for future research. It also proposes a future research agenda with emphasis on impact assessment, algorithmic transparency, and impact on financial stability.
🔗 Provenance — このレコードを発見したソース
- semanticscholar https://doi.org/10.3390/ijfs14040091first seen 2026-05-06 00:31:17
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。