gxceed
← 論文一覧に戻る

Hybrid Human–AI Interaction in Game-Theoretic Corporate Governance: Matching ESG Targets with Overarching Sustainable Development Goals

ゲーム理論に基づく企業統治におけるハイブリッドな人間-AI相互作用：ESG目標と持続可能な開発目標の整合 (AI 翻訳)

Roberto Moro-Visconti

AHFE International2026-01-01#AI×ESGOrigin: Global
DOI: 10.54941/ahfe1007083
原典: https://doi.org/10.54941/ahfe1007083

🤖 gxceed AI 要約

日本語

AIを企業統治に組み込むことで、情報の非対称性を減らし、ESG水準を8-15%向上させることを実証。450社のデータから、AI導入が資金調達コストの低下や企業価値の向上につながることを示す。メカニズムとして開示の質向上と戦略的補完性の抑制を特定。

English

This paper shows that AI adoption in corporate governance improves ESG performance by 8-15% through reducing information frictions and expanding the basin of attraction for high-ESG outcomes. Using 450 firms over 2014-2024, the author finds improved disclosure, lower cost of equity, higher Tobin's Q, and tighter credit spreads, with stronger effects in network-central firms and high-complementarity industries.

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

日本のGX文脈では、AIを用いたESG目標管理や開示改善は、SSBJ基準への対応や投資家とのエンゲージメント強化に直結する。本論文は、AIが情報摩擦を低減しESG成果を高める具体的メカニズムを示しており、日本企業のデジタル統治改革に示唆を与える。

In the global GX context

In the global GX context, this paper bridges AI technology and ESG outcomes, showing that AI as an equilibrium selector can improve disclosure quality and reduce information asymmetry. This is relevant for ISSB and CSRD frameworks that rely on high-quality data, and for transition finance where credible ESG targets are crucial.

👥 読者別の含意

🔬研究者:Provides a game-theoretic framework linking AI to ESG equilibria, with robust empirical evidence on financial implications.

🏢実務担当者:Demonstrates how AI tools can improve ESG target setting and disclosure quality, potentially lowering cost of capital.

🏛政策担当者:Highlights the role of AI in enhancing corporate governance for sustainability, suggesting potential regulatory support for AI-driven disclosure systems.

📄 Abstract（原文）

Corporate governance may admit multiple Nash equilibria. I develop a game-theoretic framework in which AI functions as an equilibrium selector by reducing information frictions, synchronizing beliefs, and expanding the basin of attraction for high‑ESG outcomes. Using 450 firms (2014–2024), I estimate that governance-directed AI adoption lifts ESG by 8–15% and is associated with lower implied cost of equity, higher Tobin’s Q, greater investment, and tighter credit spreads. Mechanism tests show improved disclosure (+8.24), tighter target discipline, and dampened strategic complementarities, with stronger effects in network‑central firms and high‑complementarity industries. Effects grow over time and are most pronounced where disclosure is complex. The results link governance technology to financing conditions and firm value.

🔗 Provenance — このレコードを発見したソース

🔔 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。