グリーンファイナンスの視点から見たFinTechとAIによるグリーントランジションの推進
Powering the green transition with FinTech and AI from a green finance perspective (原題)
Tin Huu Ho
🤖 gxceed AI 要約
日本語
グリーンファイナンスとFinTech・AIの交差領域を扱う2020〜2025年のScopus論文139件を、書誌計量分析と4チャネル枠組み（情報透明性、リスク評価・価格付け、金融包摂、RegTech）で統合したレビュー。2023年以降の急成長と中国への地理的集中を確認し、リスク評価・価格付けが最も実証が進む一方、RegTech成果やミクロなアクセス証拠は乏しいと指摘。因果識別と測定の一貫性を軸とする研究課題を提示する。
English
A systematic review and bibliometric mapping of 139 Scopus-indexed articles (2020-2025) linking green finance with FinTech and AI, organized around four channels: information & transparency, risk assessment & pricing, financial inclusion, and RegTech. Growth accelerated after 2023 with strong concentration in China. Risk assessment & pricing is the most empirically developed channel, while RegTech outcomes and micro-level access evidence remain thin; the authors propose an agenda on causal identification and measurement consistency.
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・有報開示とトランジションファイナンスの実装が進む中、FinTech/AIがグリーンファイナンスの情報透明性やリスク評価をどう補強しうるかは実務的関心が高い。本レビューは中国中心の傾向を示しつつ、日本企業・金融機関がAI活用の証拠基盤をどう整えるかの示唆を与える。
In the global GX context
As ISSB/CSRD and transition-finance frameworks scale, this review maps where FinTech and AI actually add validated value to green finance—strongest in risk pricing, weaker in transparency and RegTech. It offers global disclosure scholars a structured agenda on causal identification and cross-institutional validation, and flags the field's China-centric evidence base.
👥 読者別の含意
🔬研究者:グリーンファイナンス×AI研究の4チャネル枠組みと研究ギャップを整理する出発点として有用。
🏢実務担当者:AI/FinTechをグリーンファイナンス業務に導入する際、リスク評価領域が最も実証的に成熟している点を踏まえた優先順位付けに使える。
🏛政策担当者:RegTechや情報透明性の効果検証が乏しい現状を踏まえ、政策評価の測定設計を求める根拠になる。
📄 Abstract（原文）
Research at the intersection of green finance, FinTech, and artificial intelligence (AI) has expanded rapidly, yet its conceptual structure and transmission mechanisms remain fragmented. This study combines a systematic review and bibliometric mapping of 139 Scopus-indexed journal articles published between 2020 and 2025 whose titles explicitly connect green finance with FinTech and/or artificial intelligence. The TITLE-based search captures the explicit-title core of this literature and does not provide exhaustive coverage of adjacent research. Bibliometric analyses, including performance analysis, keyword co-occurrence, country co-authorship, and co-citation mapping, are integrated with a four-channel framework: information & transparency, risk assessment & pricing, financial inclusiont & access, and RegTech & infrastructure. The findings reveal rapid growth after 2023 and strong geographic concentration in China. Keyword co-occurrence analysis identifies four thematic communities: digital infrastructures, the sustainability–FinTech nexus, carbon markets and financial connectedness, and China-focused policy transition. The synthesis identifies risk assessment & pricing as the most empirically developed channel. Information & transparency are prominent but less consistently validated, while direct evidence on RegTech outcomes and micro-level access to green finance remains limited. These imbalances are interpreted in relation to data availability, measurement tractability, and institutional context. The review links bibliometric structures to proposed transmission mechanisms and develops a research agenda centered on causal identification, measurement consistency, and cross-institutional validation.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.1007/s43621-026-05095-4first seen 2026-10-27 04:46:39 · last seen 2026-11-06 04:45:05
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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。