インドにおける気候金融：経路と課題
Climate Finance in India: Pathways and Challenges (原題)
Amar Nath Yadav, Akash Solanki
🤖 gxceed AI 要約
日本語
インド銀行部門の2016〜2025年の与信データを284活動コードで気候関連性3層に分類し、グリーン与信が255%増でも全体の1.09%に留まる構造的ミスマッチを実証。高炭素与信は低炭素の8.3倍で、61.76%が10大都市圏に集中する「都市型移行の罠」を指摘。気候ゾーン別報告と国家気候金融タクソノミー、EBR導入を柱とする規制ロードマップを提言する。
English
Mapping 284 activity codes across Indian bank credit (2016-2025) into a three-tier climate relevance framework, the study finds green credit grew 255% yet remains only 1.09% of non-agricultural credit, while high-carbon lending is 8.3x larger. 61.76% of high-carbon exposure sits in 10 metropolitan districts, creating a 'metropolitan transition trap' from sanctioned-based reporting. It proposes climate-zone-based reporting, tiered stress tests, forward-looking loan-loss provisioning, and a National Climate Finance Taxonomy with Element-Based Reporting.
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SSBJ基準・有報でのScope3開示や銀行の移行金融リスク管理が進む。本稿の「与信の気候関連性マッピング」「タクソノミー×報告単位の再設計」は、邦銀の投融資先エクスポージャー管理や気候ストレステスト設計に直接示唆を与える。
In the global GX context
Amid ISSB/TCFD-aligned transition finance and CSRD-driven taxonomy debates, this paper offers rare granular evidence on how bank credit actually maps to climate relevance in an emerging economy. Its call to shift from administrative to climate-zone reporting and to embed a national taxonomy into loan-loss provisioning speaks to global work on transition risk concentration and disclosure infrastructure.
👥 読者別の含意
🔬研究者:銀行与信の気候関連性を活動コード単位で分類する手法と、報告単位の地理的再設計という新たな分析軸を提供する。
🏢実務担当者:投融資先の高炭素集中リスクを都市圏別に把握し、タクソノミー対応や気候ストレステスト準備に活用できる。
🏛政策担当者:気候ゾーン別報告や前向き引当、国家タクソノミー統合など、開示・健全性規制の設計指針として参照価値が高い。
📄 Abstract（原文）
This paper presents an empirical assessment of climate-relevant credit flows in Indian banking system using activity level data from 2016 to 2025. Mapping 284 activity codes to a three-tier climate relevance framework reveals profound structural misalignment in credit deployment. While green credit exhibited an impressive growth of 255 percent between 2016 and 2025, this growth started from nearly zero and still only represents only 1.09 percent of all non-agricultural bank credit. The study identifies a persistent finance gap characterised by an 'additive greening' pattern: high-carbon lending continues to expand in absolute terms and remains 8.3 times larger than the low-carbon credit base. Critically, 61.76 percent of national high-carbon exposure is concentrated in just 10 metropolitan districts, creating a ‘metropolitan transition trap’ where balance sheet exposure optically concentrated in urban financial hub due to sanctioned based reporting. This decoupling of financial risk from the physical point of industrial utilisation masks systemic vulnerability in aggregate reporting. To resolve this, the paper argues for a fundamental shift from administrative district-wise/centre-wise reporting to a framework based on India’s’ Climatic Zones (CZs). The study suggest a three-point regulatory roadmap (i) Tiered climate stress testing of high-risk metropolitan clusters; (ii) the establishment of forward-looking, climate-related loan-loss provisioning frameworks; and (iii) the finalisation and integration of the National Climate Finance Taxonomy into an Element-Based Reporting (EBR) framework to address systemic concentration risks.
🔗 Provenance — このレコードを発見したソース
- semanticscholar https://doi.org/10.71279/epw.v61i31.48736first seen 2026-10-09 05:30:18 · last seen 2026-10-10 05:50:41
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