FinTech Adoption and ESG Disclosure in Corporate Valuation: Intellectual Capital and Financial Performance Effects on Dividend Policy and Firm Value
企業価値評価におけるフィンテック導入とESG開示:知的資本と財務業績が配当政策と企業価値に与える影響 (AI 翻訳)
Md. Qamruzzaman, Abdulrahman Alomair, Mohammed Alomair
🤖 gxceed AI 要約
日本語
本稿はバングラデシュ証券取引所上場金融機関を対象に、フィンテック導入、知的資本、ESG開示、配当政策が企業価値に与える影響を検証。固定効果モデル、GMM、CS-ARDL、分位点回帰、深層ニューラルネットワークを駆使し、ESG開示が配当政策と企業価値に正の調整効果を持つことを発見。AI手法を用いたESG実証研究の好例。
English
This paper examines how FinTech adoption, intellectual capital, ESG disclosure, and dividend policy affect firm value in financial institutions in an emerging economy (Bangladesh). Using econometric methods including deep neural networks, it finds that ESG disclosure positively moderates the dividend-policy-firm-value relationship, and financial performance moderates ESG-dividend linkage. A strong empirical example of AI applied to ESG corporate finance.
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
日本でもSSBJ基準や有報でのサステナビリティ開示が進む中、ESG開示の企業価値への実証的裏付けを提供する点で示唆に富む。ただし、分析対象がバングラデシュ金融機関であるため、日本企業への直接適用には慎重な解釈が必要。
In the global GX context
This paper contributes to global ESG disclosure scholarship by showing how ESG disclosure interacts with dividend policy and valuation in an emerging market context using AI methods. It reinforces the relevance of ESG disclosure for ISSB/TCFD adoption in developing economies.
👥 読者別の含意
🔬研究者:Useful for understanding the moderating role of ESG disclosure in corporate finance and the application of AI methods in ESG research.
🏢実務担当者:Corporate sustainability teams in emerging markets can note the positive value effect of ESG disclosure and its interaction with dividend policy.
🏛政策担当者:Regulators in emerging economies may consider ESG disclosure mandates as supportive of firm value, as evidenced by this study.
📄 Abstract(原文)
<ns5:p>Background This paper examines the complex interconnections among FinTech adoption, intellectual capital, ECG disclosure, and dividend policy, and their impacts on corporate value in financial institutions of emerging economies. Questioning traditional corporate finance theory, which often undervalues non-physical assets, the scholarship is propelled by the growing gap between market and book value, which, in turn, is enhanced by the process of digital transformation and the strategic importance of data and intellectual property. Method Our hypothesis is formulated as an opportunity to explain and confirm the full effect of these variables on a company’s value through a complex framework that will successfully fill a gap in the existing literature on the synergistic synthesis of these variables in the so-called Digital-ESG-Value nexus. Using a sample of DSE-listed financial institutions from 2015 to 2023, we employ rigorous econometric methods, including fixed-effects models, dynamic panel GMM, CS-ARDL, quantile regressions, and deep neural network models, to ensure our conclusions are sound and valid. Findings The empirical findings clearly show that FinTech adoption, intellectual capital, ESG disclosure, and dividend policy, when combined with various proxies, have a significant positive influence on firm value. ESG disclosure is observed to have a substantial moderating effect on the dividend policy and firm value, strengthening the plausibility of dividend payments. Financial performance also serves as a moderating factor between ESG and the dividend policy. Quantile regressions also help understand heterogeneity, showing that better-performing companies reap disproportionately from these strategic features. Findings The empirical findings clearly show that FinTech adoption, intellectual capital, ESG disclosure, and dividend policy, when combined with various proxies, have a significant positive influence on firm value. ESG disclosure is observed to have a substantial moderating effect on the dividend policy and firm value, strengthening the plausibility of dividend payments. Financial performance also serves as a moderating factor between ESG and the dividend policy. Quantile regressions also help understand heterogeneity, showing that better-performing companies reap disproportionately from these strategic features. Conclusion These results have significant theoretical implications by applying the assumptions of Signaling Theory, the Resource-Based View, and Stakeholder Theory in an evolving digital environment. In practice, the research provides practical guidance to managers who need to determine how to allocate resources to maximise the sustainability of value creation between technology and human resource.</ns5:p>
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.12688/f1000research.178277.2first seen 2026-07-18 06:06:09
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