From <scp>ESG</scp> Disclosure to Financial Impact: Unpacking the Role of <scp>SDG</scp> Alignment and Lag Effect in <scp>ICT</scp> Firms
ESG開示から財務インパクトへ:ICT企業におけるSDG連携とラグ効果の解明 (AI 翻訳)
Ling‐Jing Kao, Chih‐Chou Chiu, Tai‐Hsi Wu, Ya‐Yi Lin
🤖 gxceed AI 要約
日本語
本研究は、ESG報告とSDGsの連携が企業業績に与える影響を、静的・象徴的な解釈を超えて戦略的・制度的・能力構築プロセスとして捉える統合的フレームワークを開発。台湾の上場ICT企業205社を対象に、BERTopicとLSTMモデルを用いてESG開示の意味内容と時間的ダイナミクスを分析。水資源管理、炭素排出削減、デジタルトランスフォーメーションなどのESGトピックが企業収益と有意に正の関連を示し、開示の深さとテーマの関連性が重要であることを実証した。
English
This study develops an integrated framework explaining how ESG-SDG alignment influences firm performance over time, moving beyond static interpretations. Using BERTopic and LSTM models on 205 Taiwanese ICT firms, it finds that ESG topics aligned with SDG 6, 13, and 9 (water, climate, innovation) positively correlate with earnings. Narrative depth and thematic relevance matter more than disclosure volume, highlighting the strategic value of credible sustainability commitments.
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
日本企業の有報・統合報告書におけるESG開示とSDGs連携の実務に示唆を与える。特に、開示の質と財務パフォーマンスの関連性を実証した点は、SSBJ基準や投資家対応において有用。
In the global GX context
This paper contributes to global ESG disclosure scholarship by empirically linking SDG-aligned ESG topics to financial performance, using advanced NLP and temporal modeling. It supports the ISSB's emphasis on decision-useful, sector-specific sustainability information and offers evidence for the materiality of narrative quality over volume.
👥 読者別の含意
🔬研究者:Demonstrates a novel method combining BERTopic and LSTM to analyze ESG disclosure dynamics and financial impact, advancing sustainability accounting and impact measurement theory.
🏢実務担当者:Provides evidence that linking ESG disclosures to specific SDG targets and ensuring narrative depth can enhance financial performance, guiding corporate reporting strategy.
🏛政策担当者:Supports the development of disclosure standards that prioritize thematic relevance and credibility over volume, aligning with ISSB and global sustainability frameworks.
📄 Abstract(原文)
ABSTRACT This study develops an integrated framework explaining how ESG reporting, when aligned with the Sustainable Development Goals (SDGs), influences firm performance over time. Moving beyond static or symbolic interpretations, it conceptualizes ESG–SDG alignment as a strategic, institutional, and capability‐building process through which firms embed sustainability principles into strategy, governance, and operations. By combining BERTopic and long short‐term memory (LSTM) models, this analysis captures both the semantic content and temporal dynamics of ESG disclosures, addressing persistent limitations in traditional ESG ratings that neglect narrative quality and lagged financial effects. Empirical evidence from 205 publicly listed Taiwanese ICT firms shows that ESG topics aligned with SDG 6 (Clean Water and Sanitation), SDG 13 (Climate Action), and SDG 9 (Industry, Innovation, and Infrastructure), specifically water resource management, carbon emissions reduction, and digital transformation, exhibit significant positive associations with firm earnings. Firms that disclose deeper, sector‐relevant, and credible sustainability commitments demonstrate stronger and more consistent financial performance, underscoring that narrative depth and thematic relevance matter more than disclosure volume. Theoretically, the study unites stakeholder, institutional, sustainability accounting, impact measurement, and dynamic capabilities perspectives to explain how ESG reporting converts external legitimacy pressures into internal adaptive capacity and long‐term value creation. Practically, it highlights the importance of linking ESG disclosures to measurable SDG targets and using real‐time sustainability indicators to enhance transparency. Overall, the research advances a temporally sensitive and impact‐oriented understanding of ESG reporting as both a semantic construct and an adaptive process that builds trust, strengthens governance, and generates sustained financial and societal value.
🔗 Provenance — このレコードを発見したソース
- openaire https://doi.org/10.1002/csr.70284first seen 2026-05-05 19:08:06
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