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持続可能性の強化:持続可能な金融の形成におけるFinTechと制度品質の役割

Empowering sustainability: The role of FinTech and institutional quality in shaping sustainable finance for environmental and social change (原題)

Sabeeh Ullah, Md. Shabbir Alam

Energy & Environment📚 査読済 / ジャーナル2026-08-26#AI×ESGOrigin: Global経営インパクト: 資金調達対象セクター: finance
DOI: 10.1177/0958305x261481726
原典: https://journals.sagepub.com/doi/pdf/10.1177/0958305X261481726?download=true
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🤖 gxceed AI 要約

日本語

G20経済を対象に、FinTech、制度品質、持続可能金融(SFI)の相互関係を2004-2023年のパネルデータで実証分析。FinTechはSFIを向上させるが、その効果は制度品質に依存し、強固なガバナンスが重要。SFIは環境・社会の持続可能性に寄与する一方、FinTech自体は生態学的フットプリントを増加させるパラドックスを指摘。

English

This study empirically examines the interrelationship among FinTech, institutional quality, and sustainable finance (SFI) in G20 economies using panel data from 2004-2023. FinTech enhances SFI, but its impact is moderated by institutional quality, with strong governance essential. While SFI contributes to environmental and social sustainability, FinTech development increases ecological footprint, creating a sustainability paradox unless aligned with green infrastructure and clean energy transitions.

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、FinTechを活用したESG評価やサステナブルファイナンスの促進が課題。本研究成果は、制度品質の重要性を示し、日本の金融規制やガバナンス強化に示唆を与える。

In the global GX context

This study contributes to global discourse on sustainable finance by highlighting the role of institutional quality in amplifying FinTech's positive impact. It aligns with ISSB and CSRD frameworks, emphasizing the need for robust governance to ensure credible sustainability reporting and transition finance.

👥 読者別の含意

🔬研究者:Provides empirical evidence on FinTech's heterogeneous effects on sustainable finance and the moderating role of institutional quality.

🏢実務担当者:Highlights the importance of strong governance and regulatory frameworks for effective sustainable finance initiatives.

🏛政策担当者:Recommends strengthening institutions and harmonizing policies to scale FinTech and sustainable finance for inclusive green growth.

📄 Abstract(原文)

The growing concern about environmental sustainability has driven the emergence of FinTech solutions that can promote sustainable finance (sustainable finance index (SFI)) and incorporate environmental, social, and governance aspects. However, significant challenges remain that limit its scope and influence, and further research is necessary to clarify its role and effectiveness in the sustainability domain. The main objective of the study is to investigate the interrelationship among FinTech, institutional quality (institutional quality index (IQI)), sustainable finance (SFI), and environmental and social sustainability in the G20 economies. The study employs a battery of methodological tools, including the Method of Moments-Quantile Regression, System-Generalized Method of Moments, and Panel Quantile-on-Quantile Kernel Regularized Least Squares, using panel data covering the period from 2004 to 2023. The empirical results show that FinTech enhances the SFI, and its impact is heterogeneous across various levels of sustainable finance distribution. IQI moderates this association, showing that strong governance, high-quality regulatory frameworks, and sound legal institutions are essential to maximizing FinTech's influence on the SFI. The results also support the idea that the SFI is environmentally and socially sustainable, as evidenced by reductions in ecological footprint and improvement in social welfare. However, FinTech development increases the ecological footprint, creating a sustainability paradox unless it is compatible with green infrastructure, clean energy transitions, and strong institutional frameworks. The study therefore recommends scaling FinTech and SFI initiatives by strengthening institutions, offering incentives to promote green innovation, and harmonizing policies and strategies to achieve socially inclusive, environmentally sustainable development in G20 member states.

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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。