A Study on the Use of K-Taxonomy for the Development of Green Finance
Kタクソノミーを活用したグリーンファイナンスの発展に関する研究 (AI 翻訳)
Yibae Kim
🤖 gxceed AI 要約
日本語
本研究は、グリーンファイナンス発展のためのK-タクソノミー活用を提案。グリーンボンドやガイドライン、AI適用を検討し、グリーンウォッシング防止と実践的計画の重要性を指摘。韓国の経済活動へのタクソノミー導入の課題と可能性を示した。
English
This study proposes using the K-Taxonomy to distinguish green economic activities for green finance. It examines green bonds, guidelines, and AI integration, emphasizing the need for taxonomy to prevent greenwashing. Contributions include a practical plan for green finance, though limited by lack of quantitative data.
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タクソノミーと同様の役割を果たす韓国のK-タクソノミーを論じており、日本におけるタクソノミー活用とAI連携の参考になる。
In the global GX context
This paper adds to the global taxonomy discourse by detailing Korea's K-Taxonomy as a tool for green finance. Its exploration of AI applications to taxonomy is relevant for evolving disclosure infrastructure worldwide.
👥 読者別の含意
🔬研究者:Examines the role of taxonomy in green finance and AI integration, providing a framework for further empirical studies.
🏢実務担当者:Offers guidelines on using K-Taxonomy for green bond issuance and credit management to avoid greenwashing.
🏛政策担当者:Highlights the need for a robust taxonomy to align financial flows with green activities, relevant for taxonomy design and regulation.
📄 Abstract（原文）
This study suggested the use of K－Taxonomy among various methods for the development of green finance. To achieve this, a basic understanding of green finance is essential. Based on this understanding, green economic activities must be distinguished. The K－Taxonomy serves as the criterion for this purpose. To achieve this goal, this study examined theoretical approaches to green bonds, a system related to green finance and the K－Taxonomy, and the current status of green bond issuance. It also examined green bond guidelines, green credit management guidelines, and secondary preservation programs to promote green bond issuance and green transition financing. Next, it explored the use of K－Taxonomy to determine whether these green finance instruments constitute green economic activities and the application of AI to this system. In order for green finance to develop, systems and activities related to green finance must be interconnected and functioning, and funds through green finance must be supplied to green economic activities. In order to prevent green washing and be used appropriately for the green economy, judgment on the green economy must be preceded, and K－Taxonomy must play its role properly. In the AI era, applying this study’s approach to AI systems will further develop green finance and green finance practice will be easier. The contributions of this study are as follows：The development of green finance, which plays an important role in sustainable management, was examined in this study, and the proposal for the use of K－Taxonomy and the application of AI as a concrete way to realize this goal. This is significant in that it presents a practical and applicable plan for the development of green finance. The limitations of this study are as follows：Since green finance and K－Taxonomy have not yet been established in Korea’s economic activities, statistical figures have not been accurately available, and as a result, quantitative analysis that can enhance the robustness of the research results has not been performed. However, if green finance develops in the future and the number of cases utilizing K－taxonomy increases, and statistics are accumulated, further studies will be able to precisely perform quantitative analysis.
🔗 Provenance — このレコードを発見したソース
- semanticscholar https://doi.org/10.35850/kjta.27.1.04first seen 2026-05-15 21:20:24
🔔 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。