Financing Resilience: Interventions & Recommendations to Restructure India’s CSR Landscape for Risk Informed Sustainable Development
レジリエンスへの資金調達:リスクに備えた持続可能な開発のためのインドのCSR環境の再構築に関する介入と提言 (AI 翻訳)
Tanmay Gound, Repaul Kanji
🤖 gxceed AI 要約
日本語
本論文は、インドの義務的CSR制度が災害リスク管理の資金調達手段として有効か評価する。事後の災害対応には効果的だが、構造的・行動的バイアスにより事前のリスク軽減への投資が不足していると指摘。制度理論と近接性・シグナルバイアスを用いて原因を分析し、リスク加重支出支援プログラムなどの政策改革を提案する。
English
This paper evaluates India's mandatory CSR regime as a financing mechanism for disaster risk management. It finds that while effective for post-disaster response, structural biases hinder proactive risk reduction investment. Drawing on institutional theory and proximity bias, it proposes policy reforms including a Risk-Weighted Expenditure Support Programme to align CSR with strategic resilience building.
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
日本でもESG投資や統合報告が進むが、本論文はCSRを防災資金に活用するインドの事例を提示。日本では自然災害リスクが高く、CSRや企業の社会貢献を戦略的リスク軽減に結びつける枠組みの参考になる。
In the global GX context
This paper offers a novel framework for channeling mandatory CSR spending into disaster risk reduction, relevant to global discussions on blended finance and private-sector engagement in climate adaptation. It provides empirical evidence on behavioral biases in corporate giving and proposes a data-driven public-private partnership model.
👥 読者別の含意
🔬研究者:Scholars studying institutional theory, CSR, and disaster risk financing will find a rigorous theoretical framework and empirical analysis of investment biases.
🏢実務担当者:Corporate sustainability teams can gain insights on how to strategically align CSR funds with long-term resilience goals beyond compliance.
🏛政策担当者:Indian policymakers and international development agencies can consider the proposed Risk-Weighted Expenditure Support Programme as a model for integrating private capital into public disaster risk management.
📄 Abstract(原文)
This body of work critically evaluates the efficacy of India’s mandatory Corporate Social Responsibility (CSR) regime, as a potential alternative financing mechanism for Disaster Risk Management (DRM). While the mandated framework demonstrates significant potential in ex post disaster response, relief, and recovery efforts, the study finds that fundamental structural and behavioural biases severely impede strategic investment in proactive ex ante Disaster Risk Reduction (DRR). Integrating established theoretical frameworks, specifically Institutional Theory and the Proximity & Signalling Bias, the analysis unpacks the root causes of the misalignment. Empirical evidence shows that CSR funds are disproportionately directed toward sectors offering easily quantifiable, high-visibility metrics (e.g., basic education and healthcare), critically neglecting highly vulnerable states and complex, long-term DRR needs. The study uses powerful visualisations to illustrate an investment gap to plug disaster risks through CSR funds. To bridge this structural gap and transform compliance-driven spending into strategic investment, the study proposes a set of integrated governance and policy imperatives. Key recommendations include multiple options, ranging from redefining ‘disaster management’ in Schedule VII, to establishing a tiered investment approach within companies for segregated ex ante and ex post financing or, implementing a Risk-Weighted Expenditure Support Programme (RWESP). The RWESP establishes a new Public-Private Partnership (PPP) model, enforcing a data-driven investment strategy through co-funding from the State Disaster Mitigation Fund (SDMF) to incentivize high-risk, high-impact projects. Collectively, these policy reforms, coupled with an urgent reform of the reporting ecosystem to prioritize verifiable long-term impact, have the potential to transform the CSR mandate into a truly strategic, equitable, and sustainable instrument for national resilience building.
🔗 Provenance — このレコードを発見したソース
- semanticscholar https://doi.org/10.53941/jhrr.2026.100004first seen 2026-05-15 21:40:09 · last seen 2026-06-16 05:19:06
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