Pemetaan Investasi Hijau untuk Pembangunan Berkelanjutan: Analisis Bibliometrik dan Visualisasi
持続可能な開発のためのグリーン投資マッピング：書誌計量分析と可視化 (AI 翻訳)
Caecilia Wahyu Estining Rahayu, Josephine Wuri, Laurentius Bambang Harnoto
🤖 gxceed AI 要約
日本語
本論文は、高被引用文献の書誌データを用いて、グリーン投資研究の展開とトレンドをVOSviewerで分析。ネットワーク、オーバーレイ、密度の3種類の可視化により、ステークホルダー・政策関与、エネルギー転換・経済成長、データ駆動型政策評価の3クラスターを特定。研究焦点がマクロ課題からグリーンファイナンス政策やフィンテックへ移行していることを示す。
English
This paper maps green investment research trends using bibliometric analysis with VOSviewer on highly reputable publications. Three clusters emerge: stakeholder/policy engagement, energy transition/economic growth, and data-driven policy evaluation. The overlay visualization reveals a shift from macro issues to green finance policy and fintech. Density visualization highlights keywords like effect, economy, and evidence.
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、グリーン投資の研究動向を俯瞰する参考資料となるが、具体的な政策や実務への示唆は限定的。SSBJや有報との直接的な関連は薄い。
In the global GX context
This paper provides a broad overview of green investment research trends, useful for understanding the global landscape. However, it lacks specific policy or practice insights relevant to TCFD/ISSB or transition finance.
👥 読者別の含意
🔬研究者:Useful for understanding the evolution and clusters in green investment literature.
🏛政策担当者:Offers a high-level mapping of research themes but no actionable policy recommendations.
📄 Abstract（原文）
This article aims to map the development and trends in green investment research through a bibliometric analysis using VOSviewer, based on bibliographic data from highly reputable publications. Three types of visualizations are used: network to view relationships between keywords, overlay to view time trends, and density to highlight the most frequently discussed topics. The results show three main clusters: (1) a red cluster representing stakeholder and policy engagement, (2) a green cluster representing energy transition and economic growth, and (3) a blue cluster representing data-driven policy impact evaluation. The overlay visualization shows a shift in research focus from macro issues to technical approaches such as green finance policy and fintech. Meanwhile, the density visualization highlights that keywords such as effect, economy, and evidence are gaining attention. This mapping reveals that green investment research is increasingly complex and integrated, involving economic, environmental, and financial technology aspects. These findings provide support for the development of evidence-based policies and the establishment of an investment ecosystem to achieve sustainable development.
🔗 Provenance — このレコードを発見したソース
- openaire https://doi.org/10.47747/snfmi.v3i1.3180first seen 2026-05-05 19:07:36
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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。