The role of green innovations in attracting international investment within ecological markets
グリーンイノベーションがエコロジー市場における国際投資誘致に果たす役割 (AI 翻訳)
Aigul Monolbaeva, Zhe Liu, Jian Huang, Svitlana Rassadnykova, Klymash Nataliia
🤖 gxceed AI 要約
日本語
本研究は、気候危機の中で持続可能な発展を促進するため、国際投資を誘致するグリーンイノベーションを特定・評価する。独自の「グリーンイノベーション投資魅力指数(GIIAI)」を用いて15のイノベーションを分析し、太陽光メガパーク、グリーン建材、ESGスコアリングプラットフォーム、MRVシステム、スマートグリッドが上位を占めることを示した。これらのイノベーションは高い投資回収率と国際環境統合に貢献する。
English
This study identifies and evaluates green innovations that attract international investment to address the climate crisis. Using a novel Green Innovation Investment Attractiveness Index (GIIAI), it ranks 15 innovations, finding Photovoltaic Megaparks, Green Building Materials, ESG Scoring Platforms, MRV Systems, and Smart Grid Energy Networks as top performers with high investment mobilization and ROI. These innovations facilitate global environmental integration via FDI and climate finance.
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政策や投資戦略に直接関連するものではないが、グリーンイノベーションの投資魅力を定量的に評価する枠組みは、日本企業が海外資本を呼び込む際の参考になる可能性がある。
In the global GX context
This paper offers a quantitative framework (GIIAI) for assessing the investment attractiveness of green innovations, relevant to global climate finance and transition finance discussions. It provides insights into which technologies are drawing international capital, useful for policymakers and investors aligning with ISSB and TCFD frameworks.
👥 読者別の含意
🔬研究者:The GIIAI methodology offers a replicable approach for evaluating green innovation investment potential.
🏢実務担当者:Corporates can use the ranking to prioritize green innovations that attract international investment for sustainability projects.
🏛政策担当者:The identified top innovations can inform policy incentives to channel foreign direct investment into climate-resilient infrastructure.
📄 Abstract(原文)
The relevance of this study stems from the imperative to discern the most investment-attractive green innovations in light of the global climate crisis, to ensure sustainable development, and to establish a systemically integrated international investment and environmental circuit. The purpose of this study is the objective identification and analytical structuring of priority green innovations with the highest investment potential, particularly in terms of attracting international capital and optimizing the functionality of global financial and environmental instruments. The research methods employed include the typology of green innovations, the computation of investment and environmental metrics, the formulation of the Green Innovation Investment Attractiveness Index (GIIAI), the evaluation of investment efficiency and conversion, a comprehensive assessment of international environmental interactions. Among the 15 green innovations analyzed, the top five (Photovoltaic Megaparks, Green Building Materials, ESG Scoring Platforms, MRV Systems, Smart Grid Energy Networks) were identified, achieving a GIIAI range of 0.85–0.92, investment mobilization of 77–85%, and ROI conversion rates of 0.77–0.83, with a Performance Index (PI) of 0.83–0.87. These innovations have facilitated comprehensive international environmental integration through Foreign Direct Investment (FDI), ESG Bonds, the UNFCCC, the Asian Infrastructure Investment Bank (AIIB), and Climate Fintech Funds, thereby confirming the strategic relevance and pivotal role of key drivers within global investment and environmental markets. Scientific novelty of this study lies in the development of a comprehensive indicator, the Green Innovation Investment Attractiveness Index (GIIAI), predicated on entropy weighting and normalized investment and environmental metrics, which substantiates the systemic allure of green innovations within the framework of international financial and environmental integration.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.23925/2179-3565.2026v17i1p134-150first seen 2026-05-23 05:12:22 · last seen 2026-05-27 04:31:31
🔔 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。