透明な説明責任への依存：金融セクターのガバナンスと超国家的サステナビリティ報告基準の採用
Banking on Transparent Accountability: Financial Sector Governance and the Adoption of Supranational Sustainability Reporting Standards (原題)
Marshall Wellington Blay, James Tuffour, Bismark Ackah
🤖 gxceed AI 要約
日本語
本研究は、139か国のパネルデータ（2011-2023年）を用いて、金融セクターのガバナンスがサステナビリティ報告基準の採用に与える影響を分析。固定効果・動的パネル・操作変数法により、金融規制の質が報告採用を促進し、特に低所得国やサブサハラアフリカで効果が大きいことを示した。高所得国では一般的な規制の質が主要因となる。金融規制が未発達な環境規制の代替となることを示唆する。
English
Using a balanced panel of 139 countries (2011-2023), this study examines how financial sector governance influences the adoption of sustainability reporting standards. Fixed-effects, dynamic panel, and IV regressions reveal a significant positive effect, strongest in low-income economies and sub-Saharan Africa, where financial regulators substitute for weak environmental oversight. In high-income contexts, broad regulatory quality is the primary driver. The findings position financial governance as a practical institutional substitute for underdeveloped regulatory systems.
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基準の適用が始まり、金融庁や証券取引所の関与が重要となる。本研究成果は、金融規制の質が報告採用を促進することを示し、日本の金融当局がSSBJ適用を後押しする根拠となり得る。また、日本企業の海外子会社における報告慣行の理解にも示唆を与える。
In the global GX context
This study contributes to global disclosure scholarship by highlighting the role of financial regulators in driving sustainability reporting adoption, complementing firm-level and institutional quality studies. It offers evidence that financial sector governance can serve as a substitute for weak environmental regulation, relevant for ISSB and CSRD implementation in emerging economies. The findings support leveraging financial oversight to accelerate reporting convergence globally.
👥 読者別の含意
🔬研究者:Provides cross-country evidence on institutional drivers of sustainability reporting adoption, extending neo-institutional theory.
🏢実務担当者:Highlights the importance of financial regulatory pressure in shaping reporting practices, useful for multinational compliance strategies.
🏛政策担当者:Suggests that strengthening financial sector governance can accelerate sustainability reporting adoption, especially in low-income countries.
📄 Abstract（原文）
ABSTRACT Corporate sustainability reporting is widely promoted to enhance transparency and track global sustainability goals, yet its adoption remains highly uneven across nations. Prior research focuses on firm‐level drivers or aggregated institutional quality, overlooking the distinct role of financial regulators. Drawing on neo‐institutional theory and institutional substitution, this study examines how national financial sector governance influences the adoption of sustainability reporting standards. Using a balanced panel of 139 countries (2011–2023), we employ fixed‐effects, dynamic panel and instrumental variable regressions, complemented by income and regional heterogeneity analyses. The results reveal a statistically significant positive relationship between financial sector governance and sustainability reporting adoption. The effect is strongest in low‐income economies and sub‐Saharan Africa, where financial regulators compensate for weak environmental oversight. In high‐income contexts and Latin America, broad regulatory quality supplants specialised financial governance as the primary transparency driver. IFRS adoption and state ownership show limited direct influence. These findings position financial sector governance as a practical institutional substitute for underdeveloped regulatory systems. Policymakers can leverage existing financial oversight to accelerate sustainability reporting, particularly in resource‐constrained settings. The study advances institutional theory by differentiating financial regulatory capacity from general state capacity and offers a scalable pathway toward global transparency objectives.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.1002/csr.70932first seen 2026-08-28 04:49:16
🔔 こうした論文の新着を逃したくない方は キーワードアラート に登録（無料・3キーワードまで）。
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。