Fintech, financial inclusion and income inequality: a quantile regression approach
University of London · SOAS University of London · +2 more institutions
Abstract
Although theory suggests that financial market imperfections–mainly information asymmetries, market segmentation and transaction costs–prevent poor people from escaping poverty by limiting their access to formal financial services, new financial technologies (FinTech) are seen as key enablers of financial inclusion. Indeed, the UN 2030 Agenda for Sustainable Development (UN-2030-ASD) and the G20 High-Level Principles for Digital Financial Inclusion (G20-HLP-DFI) highlight the importance of harnessing the potential of FinTech to reduce financial exclusion and income inequality. This paper investigates the interrelationship between FinTech, financial inclusion and income inequality for a panel of 140 countries…
Citation impact
- FWCI
- 78.90
- Percentile
- 100%
- References
- 84
Authors
4Topics & keywords
- Quantile regression
- Financial inclusion
- Economics
- Inequality
- Econometrics
- Economic inequality
- Quantile
- Regression
- Reduced inequalities
Funding
- DFDepartment for International Development, UK Government
- LULoughborough University
- NNNational Natural Science Foundation of China
- ARAXA Research Fund
- DFDepartment for International DevelopmentAward: ES/N013344/2
- EAEconomic and Social Research CouncilAwards: ES/P005241/2, ES/P005241/1, ES/P005241/1, ES/N013344/1, ES/N013344/2, ES/N013344/2