再生可能エネルギー開発への資金支援:世界の投資動向と国際経験
FINANCIAL SUPPORT FOR THE DEVELOPMENT OF RENEWABLE ENERGY: GLOBAL INVESTMENT TRENDS AND INTERNATIONAL EXPERIENCE (原題)
Olha Shmyhel
🤖 gxceed AI 要約
日本語
再生可能エネルギー事業の資金調達メカニズムを国際比較し、グリーンボンドやブレンデッドファイナンス等の手法を整理。世界のクリーンエネルギー投資動向を分析し、AIを活用したリスク予測を統合した評価モデルを提案する。
English
This paper systematizes international financing mechanisms for renewable energy, including green bonds and blended finance, and analyzes global clean energy investment trends. It proposes an integrated evaluation model combining traditional financial instruments with AI-driven risk forecasting to improve project assessment.
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GX経済移行債やトランジション・ファイナンスの活用が進む中、本論文の国際比較は日本の資金調達戦略の参考になる。特にAIを活用したリスク評価は、今後の日本のプロジェクト評価に示唆を与える。
In the global GX context
As global capital shifts toward low-carbon technologies, this paper's comparative analysis of financing instruments and AI-based risk models offers insights for aligning with ISSB disclosure and transition finance frameworks.
👥 読者別の含意
🔬研究者:再生可能エネルギー資金調達の国際比較とAI統合モデルの理論的枠組みを提供。
🏢実務担当者:グリーンボンドやブレンデッドファイナンスの活用検討に有用な国際事例を提供。
🏛政策担当者:再生可能エネルギー投資促進政策の設計に参考となる国際的な資金調達メカニズムの整理。
📄 Abstract(原文)
Introduction. The development of renewable energy is one of the key areas for achieving the global energy transition, which necessitates the improvement of mechanisms for its financial support. The increasing capital intensity of renewable energy projects, rising regulatory and market risks, and the acceleration of decarbonization efforts make it increasingly urgent to identify effective financial instruments capable of attracting long-term capital and enhancing the sector’s investment appeal. This is precisely why it is important to study current mechanisms for financing the development of renewable energy based on an analysis of international experience, an assessment of investment instruments, and the identification of promising avenues for raising capital. Methods. The study employed a systematic approach, methods of comparative analysis, generalization, statistical and dynamic analysis, as well as the logical-structural method. Their application made it possible to systematize international mechanisms for financing renewable energy, assess trends in global investments in clean energy, and develop an integrated approach to evaluating the effectiveness of financing renewable energy projects. Results. This study systematizes current international and national mechanisms for financing the development of renewable energy and identifies their advantages, limitations, and practical application characteristics. It analyzes the trends in global investments in clean energy, confirming a growing shift in financial flows toward low-carbon technologies. The feasibility of comprehensively utilizing project-based and blended financing, green bonds, ESG-oriented investments, international credit mechanisms, and alternative sources of capital mobilization has been substantiated. An integrated analytical model for assessing the effectiveness of financing renewable energy projects is proposed, which combines traditional financial instruments, alternative capital-raising models, and AI-driven risk forecasting mechanisms, thereby improving the quality of assessments of projects’ financial sustainability and investment attractiveness. Discussion. Further research should focus on developing economic and mathematical models for optimizing the financing structure of renewable energy projects, integrating digital technologies and artificial intelligence tools into financial risk management systems, and improving mechanisms for attracting international capital in accordance with the principles of sustainable development. Keywords: renewable energy; financial support; investment mechanisms; project financing; green bonds; international financial institutions; blended finance; energy transition; AI-based risk management models.
🔗 Provenance — このレコードを発見したソース
- semanticscholar https://doi.org/10.36742/2410-0919-2026-2-13first seen 2026-08-27 05:31:31 · last seen 2026-09-22 05:03:24
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