Earth Observation Data for Finance: A Bibliometric Review and Directions for Future Research
金融分野における地球観測データの活用：書誌計量レビューと今後の研究方向 (AI 翻訳)
Christian Pinto-Gutiérrez, J. Arzú
🤖 gxceed AI 要約
日本語
本論文は、金融研究における地球観測（EO）データの活用に関する初の書誌計量レビューである。2015年から2025年の27論文を分析し、情報非対称性・企業統治、経済活動の代替指標、環境リスクとサステナブルファイナンスの3クラスターを特定。EOデータが市場効率性やリスクモデリングに与える影響を整理し、今後の研究の方向性を示す。
English
This paper presents the first bibliometric review of Earth Observation (EO) data in finance, covering 27 articles from 2015-2025. It identifies three research clusters: information asymmetry & corporate governance, alternative measures of economic activity, and environmental risk & sustainable finance. The review illustrates how EO data can inform market efficiency, risk modeling, and corporate transparency, offering future research directions.
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TCFDやSSBJに基づく気候関連開示が進む中、衛星データ等のEOデータは物理リスク評価やサプライチェーン分析に有用。本レビューは、ESG・サステナブルファイナンス分野におけるEOデータ活用の現状を俯瞰し、日本の実務者や研究者に示唆を与える。
In the global GX context
Globally, EO data is increasingly used for climate risk assessment and sustainable finance. This review synthesizes how EO data can enhance transparency and risk modeling in financial markets, aligning with ISSB, CSRD, and other disclosure frameworks that require non-financial data integration.
👥 読者別の含意
🔬研究者:This bibliometric review provides a structured overview of an emerging field, highlighting key articles, clusters, and gaps for future research on EO data in finance.
🏢実務担当者:Corporate sustainability and finance teams can explore how EO data (e.g., satellite imagery) may improve ESG assessments, physical risk analysis, and supply chain monitoring.
🏛政策担当者:Regulators can consider how EO data could support mandatory climate disclosures and enhance market transparency through alternative data sources.
📄 Abstract（原文）
This study presents the first bibliometric review of studies that apply Earth Observation (EO) data in finance research, an area that remains nascent but rapidly developing. It identifies the most influential articles, journals, and authors, and analyzes the theoretical and methodological approaches that underpin this emerging field. The bibliometric review covers 27 articles published between 2015 and 2025 and identifies three major research clusters: (i) information asymmetry and corporate governance, (ii) alternative measures of economic activity, and (iii) environmental risk and sustainable finance. By synthesizing these contributions, the study illustrates how EO data is beginning to inform discussions on market efficiency, risk modeling, and corporate transparency. The paper concludes by outlining future research directions, positioning this review as an initial reference point for scholars and practitioners seeking to advance the integration of EO data into financial analysis and decision‐making.
🔗 Provenance — このレコードを発見したソース
- semanticscholar https://doi.org/10.1111/joes.70084first seen 2026-05-15 21:01:27 · last seen 2026-06-16 05:17:23
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