Bibliometric and BERTopic Analysis of ESG Research: A Comparative Study of Environmental and Non-Environmental Domains
ESG研究の書誌計量分析とBERTopic分析：環境領域と非環境領域の比較研究 (AI 翻訳)
Hye-Kyoung An, Moon-Koo Kim, Byoung-Chang Choi, Young-wook Seo
🤖 gxceed AI 要約
日本語
本研究は、Scopusから取得した5,097件のESG関連文献を環境（ENV）・非環境（non-ENV）領域に分類し、書誌計量分析、国際共著ネットワーク分析、BERTopicモデリングにより知識構造を比較した。両領域とも2020年以降急増するが、non-ENVは論文数・総被引用数で上回る一方、ENVは1論文あたりの被引用数で優れ、トップ被引用論文の割合も高い。トピックモデルにより、ESG開示、取締役会の多様性、デジタル変革は共通トピック、グリーンイノベーションと炭素排出はENV、金融市場と投資はnon-ENVに特徴的と判明した。
English
This study classifies 5,097 ESG publications into environmental (ENV) and non-environmental (non-ENV) domains, comparing their knowledge structures using bibliometric analysis, international collaboration network analysis, and BERTopic modeling. Both domains have grown rapidly since 2020, but non-ENV surpasses ENV in publication and citation volume, while ENV shows higher citations per paper and more top-cited papers. Topic modeling reveals shared topics (ESG disclosure, board diversity, digital transformation) and domain-specific ones (green innovation and carbon emissions for ENV; financial markets and investment for non-ENV).
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や有報でのESG情報開示が進む中、環境・非環境領域の知見構造の違いを理解することは、統合的なESG評価の基盤構築に資する。本分析手法は日本語ESG文献への応用も可能であり、日本の研究者・実務者にとって参考となる。
In the global GX context
As ESG research expands globally, this comparative analysis highlights the distinct trajectories of environmental versus social/governance domains, informing the need for integrative frameworks. The BERTopic methodology offers a replicable approach for mapping ESG literature, relevant for disclosure standard-setters (ISSB, GRI) and practitioners seeking evidence-based insights.
👥 読者別の含意
🔬研究者:Researchers can adopt the BERTopic-based methodology to map ESG literature and explore cross-domain integration.
🏢実務担当者:Practitioners may gain a macro-view of ESG research trends but limited direct operational insights.
🏛政策担当者:Policymakers can note the growth and divergence of ESG research domains, supporting evidence-based standard-setting.
📄 Abstract（原文）
This study classifies 5,097 ESG-related publications retrieved from Scopus into ENV and non-ENV domains and compares their knowledge structures through bibliometric analysis, international collaboration network analysis, and BERTopic modeling. Publication volume and citation counts in both domains increased markedly from 2020 onward, reflecting the rapid expansion of ESG research across academic disciplines. Within this shared growth trajectory, however, the two domains show contrasting patterns. The non-ENV substantially exceeded ENV in publication volume and total citation count, with publications distributed across a large number of journals spanning finance, strategy, and social sciences. ENV, by contrast, consistently recorded higher citations per publication and a greater proportion of top-cited papers, suggesting that individual ENV publications tend to carry comparatively greater citation impact. The two domains also differed in international collaboration structure, with ENV showing tighter regional clustering and non-ENV exhibiting a hub-driven network centered on a small number of countries. Topic modeling confirmed ESG disclosure, board diversity, and digital transformation as shared topics across both domains, while green innovation and carbon emissions characterized ENV, and financial markets and investment characterized non-ENV. These findings suggest that the two domains share a common institutional foundation while developing along distinct research trajectories, and point to the need for integrative research that connects environmental performance with social and governance contexts.
🔗 Provenance — このレコードを発見したソース
- semanticscholar https://doi.org/10.54794/enesg.2026.6.5.285first seen 2026-07-19 05:56:13
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