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Fintech for Financial Inclusion: A Framework for Digital Financial Transformation

Fintech for Financial Inclusion: A Framework for Digital Financial Transformation ArXiv ID: ssrn-3245287 “View on arXiv” Authors: Unknown Abstract Access to finance, financial inclusion and financial sector development have long been major policy objectives. A series of initiatives have aimed to increase a Keywords: Financial Inclusion, Access to Finance, Financial Sector Development, Microfinance, Credit Complexity vs Empirical Score Math Complexity: 1.5/10 Empirical Rigor: 2.0/10 Quadrant: Philosophers Why: The paper is a policy-oriented framework discussing regulatory strategies and digital infrastructure, lacking mathematical formulas or statistical models; its empirical support relies on high-level case studies (e.g., India, Kenya) and aggregated data from sources like the World Bank, with no backtesting or implementation details. flowchart TD A["Research Goal:<br/>Framework for Digital Financial Transformation"] --> B["Data & Inputs:<br/>Policy Initiatives & Microfinance Data"] B --> C["Methodology:<br/>Thematic Analysis & Synthesis"] C --> D["Computational Process:<br/>Mapping Inclusion to Digital Tech"] D --> E["Key Findings:<br/>Fintech as Catalyst for<br/>Financial Sector Development"]

October 29, 2018 · 1 min · Research Team

Corporate Social Responsibility and Access toFinance

Corporate Social Responsibility and Access toFinance ArXiv ID: ssrn-1847085 “View on arXiv” Authors: Unknown Abstract In this paper, we investigate whether superior performance on corporate social responsibility (CSR) strategies leads to better access to finance. We hypothesize Keywords: Corporate Social Responsibility (CSR), Access to Finance, Capital Markets, ESG, Cost of Capital, Equity Complexity vs Empirical Score Math Complexity: 2.0/10 Empirical Rigor: 7.5/10 Quadrant: Street Traders Why: The paper relies on standard econometric models (regressions, IV, simultaneous equations) with limited advanced mathematics, but demonstrates high empirical rigor through extensive robustness checks, multiple alternative measures, and implementation-heavy analysis using large datasets. flowchart TD A["Research Question: Does CSR Performance improve Access to Finance?"] --> B["Data & Inputs"] B --> C["Key Methodology"] B --> D["Analytical Tools"] C --> E["Computational Model"] D --> E E --> F["Key Outcomes/Findings"] subgraph B [" "] direction LR B1["Company Financial Data"] --> B2["CSR/ESG Scores"] B3["Market Data"] --> B2 end subgraph C [" "] direction LR C1["Regression Analysis"] --> C2["Propensity Score Matching"] end subgraph D [" "] direction LR D1["Stata / R"] --> D2["Datastream / Compustat"] end subgraph E [" "] direction LR E1["Estimate Cost of Capital"] --> E2["Test Liquidity & Equity Issuance"] end subgraph F [" "] direction LR F1["Positive Correlation"] --> F2["Lower Cost of Capital"] F2 --> F3["Better Market Access"] end

May 25, 2011 · 1 min · Research Team