Mapping China's ESG Disclosure Research Evolution: A CiteSpace-Based Knowledge Visualization Analysis (2004-2024)
中国のESG情報開示研究の進化のマッピング：CiteSpaceに基づく知識可視化分析（2004-2024） (AI 翻訳)
Fan Feifei, Asri Marsidi
🤖 gxceed AI 要約
日本語
本研究は、2004年から2024年までの中国におけるESG情報開示研究の進化を、CiteSpaceを用いた書誌分析により体系的に調査した。3つの発展段階（出現期、安定期、加速期）を特定し、研究の焦点が概念枠組みから技術促進型開示メカニズムへ移行していることを明らかにした。また、学際連携や産学連携の不足などのギャップを指摘している。
English
This study systematically investigates the evolution of ESG disclosure research in China from 2004 to 2024 using CiteSpace bibliometric analysis of 1,039 publications. It identifies three developmental phases (emergence, steady growth, acceleration post-2020) and a shift from conceptual frameworks to technology-enhanced disclosure. Gaps in interdisciplinary collaboration are highlighted.
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
中国のESG開示研究の俯瞰図を示し、日本の研究者にとっては、自国の研究動向との比較や、中国の政策主導型の開示発展を理解する上で参考になる。ただし、日本の実務に直接的な示唆は限定的。
In the global GX context
This paper provides a comprehensive knowledge map of ESG disclosure research in China, revealing how policy (e.g., dual carbon goals) drives research. It offers global scholars insights into the structure and gaps of ESG research in a major emerging economy, particularly the shift toward digital and climate risk disclosures.
👥 読者別の含意
🔬研究者:Provides a bibliometric overview of ESG disclosure research in China, useful for understanding the field's structure and trends.
📄 Abstract（原文）
Objective - This study aims to systematically investigate the evolutionary trajectory of Environmental, Social, and Governance (ESG) information disclosure research in China from 2004 to 2024, mapping the intellectual structures, collaboration networks, and research dynamics to identify developmental patterns and research gaps in this rapidly evolving domain. Methodology/Technique – A comprehensive bibliometric analysis was conducted using CiteSpace visualization software to analyze 1,039 academic publications sourced from the Web of Science database. The methodology employed temporal distribution analysis, author and institutional collaboration network visualization, keyword co-occurrence analysis, and burst detection to map knowledge structures and research trends. Findings – The analysis revealed three distinct developmental phases in China's ESG disclosure research: an emergence phase (2004-2014), a steady growth phase (2015-2019), and an acceleration phase (2020-2024) following China's "dual carbon" goals announcement. Critical gaps were identified in interdisciplinary collaboration and industry-academia partnerships. Research focus has shifted from conceptual frameworks toward technology-enhanced disclosure mechanisms, with emerging clusters on digital transformation, climate risk disclosures, and greenwashing detection. Novelty – This research produces the first comprehensive knowledge map of China's ESG disclosure research ecosystem using visualization techniques, providing quantitative evidence of the policy-driven nature of sustainability reporting development in emerging economies. The work uniquely bridges international ESG disclosure theories with China's distinctive institutional context while offering a methodological innovation that demonstrates how visualization techniques overcome traditional literature review limitations in complex research domains. Type of Paper - Empirical Keywords: ESG, Information Disclosure, CiteSpace, Knowledge Map, Bibliometric Analysis. JEL Classification: G34, M14, Q56, O16. URI: http://gatrenterprise.com/GATRJournals/JFBR/vol10.1_1.html DOI: https://doi.org/10.35609/jfbr.2025.10.1(1)
🔗 Provenance — このレコードを発見したソース
- openaire https://doi.org/10.35609/jfbr.2025.10.1(1)first seen 2026-05-05 19:08:25
🔔 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。