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FinTech活用型気候インテリジェンスが持続可能な投資判断とグリーン資本配分に与える影響

The Impact of FinTech-Enabled Climate Intelligence on Sustainable Investment Decisions and Green Capital Allocation (原題)

Hira Sarfraz, Shakir Majeed Khan, Saadia Bakhtawar, Shamshad Ali

Journal of Business Insight and Innovation📚 査読済 / ジャーナル2026-11-05#AI×ESG経営インパクト: 資金調達対象セクター: finance
DOI: 10.63544/jbii.v5i11.281
原典: https://insightfuljournals.com/index.php/JBII/article/download/281/474
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🤖 gxceed AI 要約

日本語

FinTech・AI・ビッグデータを活用した気候インテリジェンスが、持続可能な投資判断とグリーン資本配分にどう影響するかを300名の金融専門家調査で分析した研究。気候インテリジェンスは持続可能投資判断(β=.52)とグリーン資本配分(β=.47)を有意に正に予測し、両者は強く相関(r=.61)した。ただし報告された数値は人工的に生成された例示であり、実データでの検証が今後の課題と明記されている。

English

This study surveys 300 finance professionals to examine how FinTech-enabled climate intelligence—leveraging AI, big data, and climate-risk assessment—shapes sustainable investment decisions and green capital allocation. Climate intelligence positively predicts both sustainable investment decisions (β=.52) and green capital allocation (β=.47), which are strongly correlated (r=.61). The authors explicitly note the reported figures are artificially generated and illustrative, calling for validation with genuine survey and institutional investment 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

SSBJ基準・有報での気候関連開示が進む日本では、デジタル気候情報を投資判断やグリーンファイナンスに組み込む動きが過渡期にあり、金融機関のESG投融資実務への示唆がある。ただし数値が人工生成である点は実務適用時に留意が必要。

In the global GX context

Amid ISSB/TCFD-aligned disclosure and transition-finance momentum, this paper speaks to how digital climate intelligence could feed investment appraisal and green capital allocation—relevant to the growing FinTech–climate-finance literature, though its illustrative (non-empirical) figures limit evidentiary weight.

👥 読者別の含意

🔬研究者:FinTech×気候インテリジェンス×持続可能金融の理論枠組みと、実データ検証が不可欠という方法論的教訓を提供する。

🏢実務担当者:気候情報を投資評価やグリーンファイナンスに組み込む際の条件(開示・規制・機関優先度)を検討する材料になる。

🏛政策担当者:気候情報開示と規制支援がグリーン資本配分を促す条件整備の重要性を示唆する。

📄 Abstract(原文)

This study examines how climate intelligence, enabled by financial technology (FinTech), influences sustainable investment decisions and the allocation of green capital. It considers the opportunities created by digital financial technologies, artificial intelligence, big data analytics, and climate-risk assessment applications, in investment appraisal and in redirecting financial flows toward climate-friendly investments. A quantitative, cross-sectional survey design was used with 300 respondents comprising investment professionals, financial analysts, banking professionals, and individuals involved in sustainable finance. Data were analysed using descriptive statistics, reliability analysis, Pearson correlation, and regression analysis. The results indicate a positive relationship between FinTech-enabled climate intelligence and sustainable investment decisions (β = .52, “p” < .001), accounting for 27% of the variance. FinTech-enabled climate intelligence also positively predicts green capital allocation (β = .47, “p” < .001), accounting for 22% of the variance. Sustainable investment decisions and green capital allocation were strongly correlated (“r” = .61, “p” < .01). The findings suggest that digital climate intelligence can support sustainability-based investment appraisal and green financing practices, with favourable environmental information, disclosure and regulatory support, and institutional priorities as important conditions. The study adds a theoretical lens to the FinTech–climate intelligence–sustainable finance literature. The numerical results reported here were generated artificially and are illustrative of statistical procedure rather than actual evidence. Future research using genuine survey responses and institutional investment records is needed to establish whether, and under what circumstances, climate intelligence improves sustainable investment outcomes. References Chen, H. 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