Empowering Corporate Reporting With eXtensible Business Reporting Language to Elevate Sustainable Development: A Natural Resource and Dynamic Capabilities View
持続可能な発展を促進するためのXBRLによる企業報告の強化:天然資源と動的ケイパビリティの視点 (AI 翻訳)
Dzakiyy Hadiyan Achyar
🤖 gxceed AI 要約
日本語
本研究は、XBRL対応の気候関連開示が銀行のESGファイナンスに与える影響を、インドネシア・マレーシア・サウジアラビアのパネルデータと差分の差分法で分析。気候政策とXBRLの相互作用が正で有意であり、標準化された機械可読な報告システムが政策効果を高めることを示す。新興国・資源依存経済におけるデジタル報告の戦略的価値を強調。
English
This study examines how xBRL-enabled climate disclosures affect banks' ESG financing using panel data from Indonesia, Malaysia, and Saudi Arabia (2011-2025) with a staggered difference-in-difference model. Results show that climate policy positively correlates with banks' ESG commitment, and the interaction with xBRL is significantly positive, indicating that digital reporting amplifies policy effectiveness. It highlights digital reporting as a strategic enabler for managing climate risks in emerging economies.
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基準の開示が始まり、XBRLを用いた有価証券報告書のEDINET提出が進む。本論文は、デジタル報告インフラが気候政策の実効性を高める点を実証しており、日本の気候開示と政策連携の設計に示唆を与える。
In the global GX context
This paper provides empirical evidence on how digital reporting (xBRL) enhances climate policy traction, relevant to global standard-setters (ISSB, GRI) and regulators pushing for machine-readable disclosures. The findings support the integration of climate policy with interoperable taxonomies, directly informing ongoing ISSB-SASB convergence and XBRL taxonomies for sustainability.
👥 読者別の含意
🔬研究者:A rare empirical study linking climate policy, digital reporting infrastructure, and bank ESG financing with causal inference methods.
🏢実務担当者:Demonstrates that investing in xBRL-based sustainability reporting systems can improve policy alignment and attract sustainable finance.
🏛政策担当者:Shows that mandating machine-readable climate disclosures alongside policy measures increases their effectiveness, especially in emerging economies.
📄 Abstract(原文)
This study examines the role of climate policy in shaping banks' contributions to sustainable development empowered by eXtensible Business Reporting Language (xBRL). Using a panel data set of banks from Indonesia, Malaysia, and Saudi Arabia over the period 2011–2025, the xBRL‐enabled climate disclosures prove that digital reporting infrastructures can strengthen climate policy credibility and effectiveness in carbon‐intensive economies. The analysis is anchored in the institutional evolution of sustainability reporting, starting from the Sustainability Accounting Standards Board (SASB) in 2011 and extending through the Indonesia and Saudi Arabia adoption of xBRL in 2015 and Malaysia's adoption of xBRL in 2019. Employing a staggered difference‐in‐difference model, the study investigates the impact of climate policy on banks' ESG financing while controlling for bank‐specific characteristics, including size, leverage, and profitability. The findings indicate that climate policy is positively associated with banks' ESG commitment, suggesting that regulatory pressure and policy stringency incentivize greater alignment with sustainable development objectives. Importantly, the interaction between climate policy and xBRL is positive and statistically significant, demonstrating that standardized and machine‐readable reporting systems amplify the effectiveness of climate policy in driving sustainability outcomes. For regulators, this study underscores the importance of integrating climate policy with interoperable digital reporting systems to improve policy traction and accountability. For standard setters, the findings support ongoing efforts to harmonize sustainability taxonomies and disclosure standards within xBRL‐based infrastructures. For financial institutions operating in emerging and resource‐dependent economies, the results highlight digital reporting not merely as a compliance tool, but as a strategic enabler for managing climate‐related financial risks and capturing sustainable investment opportunities.
🔗 Provenance — このレコードを発見したソース
- semanticscholar https://doi.org/10.1002/csr.70784first seen 2026-06-23 05:57:26
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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。