Abstract
Abstract
Investment in agriculture and rural livelihoods in climate-vulnerable regions frequently underperforms, not due to inadequate capital availability, but because of misalignment between financial instruments, institutional mandates, and local adaptive capacity. While Corporate Social Responsibility (CSR) initiatives and Financial Institutions (FIs) both deploy substantial resources into rural development, their interventions often operate in parallel rather than in synergy, leading to inefficiencies, duplication, and elevated investment risk. This paper develops a policy framework that operationalises a climate-smart algorithmic investment model to guide sequenced and complementary investments by CSR actors and Financial Institutions. Building on an empirically validated CLIMATESMART FINANCIAL MODEL (CSFM), the framework distinguishes between contexts where direct financial investment is viable and those where structural, institutional, or capacity deficits necessitate pre-investment community empowerment. The model generates transparent decision signals that inform investment timing, role allocation, and governance safeguards. By clearly demarcating the functional boundaries of CSR and FI interventions while enabling structured collaboration, the proposed framework reduces legal ambiguity, enhances capital efficiency, and strengthens local adaptive capacity. The framework is particularly relevant for rural, tribal, and hinterland regions where livelihood creation, agricultural resilience, and food security remain urgent policy priorities. Adoption of this approach offers policymakers and development finance actors a defensible, data-driven pathway for climate-resilient agricultural transformation and sustainable rural livelihoods
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@article{Srivastava2026Policy,
title = {A Policy Framework for Climate-Smart Sustainable Agriculture & Livelihoods Through Synergised CSR & Financial Institution Investments},
author = {Deepak Srivastava},
journal = {International Journal for Research in Applied Science and Engineering Technology},
year = {2026},
doi = {10.22214/ijraset.2026.84144},
url = {https://doi.org/10.22214/ijraset.2026.84144}
}
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