Analysis of Port Authority ESG Social(S) Disclosure Issues Using Text Mining: Focusing on Sustainability Reports
テキストマイニングを用いた港湾公社のESG社会(S)開示問題の分析：サステナビリティ報告書に焦点を当てて (AI 翻訳)
Seon Joo Kim, Hyo Jin Park
🤖 gxceed AI 要約
日本語
本研究は、韓国4港湾公社のサステナビリティ報告書からテキストマイニングを用いて社会（S）関連テキストを抽出し、頻度分析、N-gram、トピックモデリング、ネットワーク分析により開示の特徴を分析した。GRI 400社会基準に基づく開示項目との関連を検討し、港湾の役割や地域特性による戦略的差異や開示項目の偏りを明らかにした。この結果に基づき、公共機関のサステナビリティ報告に関する示唆を提供し、ESGテキストマイニング研究を民間から公共部門へ拡張した。
English
This study uses text mining to extract Social (S) content from sustainability reports of four Korean port authorities, analyzing disclosure patterns via frequency analysis, N-gram, topic modeling, and network analysis. Results show that disclosure focus varies by port function and regional context, with concentration on limited GRI 400 topics and gaps in certain social issues. The findings offer implications for public sector sustainability reporting under the GRI framework, extending ESG text mining research beyond the private sector.
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
本論文は韓国の港湾公社を対象としているが、日本においても港湾や公共機関のGRIに基づく開示に応用可能。特にSSBJや有報における社会情報開示の拡充が議論される中、テキストマイニングを活用した開示パターン分析の手法は、日本の公共セクターのESG報告改善に示唆を与える。
In the global GX context
This paper applies text mining to public sector sustainability reports, a relatively underexplored area. Globally, as ESG disclosure mandates expand (ISSB, CSRD), the methodology offers a replicable approach to assess social disclosure quality and gaps, particularly for government-related entities. The findings highlight the need for more balanced reporting across GRI topics, relevant for standard-setters and practitioners.
👥 読者別の含意
🔬研究者:Provides a text mining framework for analyzing social disclosure in sustainability reports, extending ESG analytics to the public sector.
🏢実務担当者:Sustainability report preparers in port authorities and other public institutions can use the methodology to identify disclosure gaps and improve alignment with GRI standards.
🏛政策担当者:Suggests that public sector disclosure policies may need to address content imbalances and encourage broader coverage of social issues under GRI.
📄 Abstract（原文）
This study employs text mining techniques to extract Social (S)–related text from the sustainability reports of four Korean port authorities and analyzes the main characteristics and patterns of these disclosures using frequency analysis, N-gram, topic modeling, and network analysis. The purpose of the study is to examine how Social (S) disclosures in port authorities’ sustainability reports, prepared in accordance with the GRI 400 Social Standards, are associated with specific disclosure items. The results show that the strategic focus of Social (S) disclosures varies depending on each port authority’s functional role and regional and industrial context, that disclosures tend to be concentrated on a limited subset of GRI 400 topics, and that disclosure gaps remain for certain social issues. Building on these findings, the study proposes implications for sustainability reporting by public institutions based on the GRI framework, thereby extending ESG text‑mining research from the private to the public sector.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.26847/mspa.2026.36.2.33first seen 2026-07-08 05:06:38
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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。