Mitigating Economic Disparities: Analyzing the Efficacy of Digital Payment Solutions in Rural Economies

Authors

  • Drew Moore PhD
  • Nico Turner Professor
  • Alex Anderson Associate Professor
  • Grace Nelson Dr. Sc

Keywords:

Digital payment solutions, Rural economies, Economic disparities, Financial inclusion, Technology adoption, Empirical analysis, Small business growth, Policy implications

Abstract

This study addresses the pressing economic challenge of disparities in access to financial resources in rural areas, particularly in the context of rapidly advancing digital payment technologies. Through a mixed-methods approach, we conducted a comprehensive quantitative analysis of the adoption rates of digital payment solutions across various rural communities, supplemented by qualitative interviews with local stakeholders. Our empirical findings reveal a significant correlation between the adoption of digital payment systems and improved economic outcomes, specifically a 22% increase in small business revenues and a 30% decrease in transaction costs. The insights gained from this research provide critical implications for policymakers and practitioners aiming to enhance financial inclusion through technology-driven solutions in underserved populations.

Author Biographies

Drew Moore, PhD

PhD
University of Chicago
5801 S Ellis Ave, Chicago, IL 60637, USA

Nico Turner, Professor

Professor
Ludwig Maximilian University of Munich
Geschwister-Scholl-Platz 1, 80539 Munich, Germany

Alex Anderson, Associate Professor

Associate Professor
University of Toronto
27 King's College Cir, Toronto, ON M5S 1A1, Canada

Grace Nelson, Dr. Sc

Dr. Sc
London School of Economics and Political Science
Houghton St, London WC2A 2AE, UK

References

Sipos, D. (2026). Conversational Artificial Intelligence in Retail: From Customer Support to Behavioral Influence. В Artificial Intelligence for Resilient and Sustainable Technologies (стр. 1-38). Deep Science Publishing.

Papaskua, I., & Joglidze, D. (2026). Digital Transformation of Accounting Systems and Challenges of Inventory Control in Georgia. Business and Legislation, 19(1), 87-95.

Papaskua, I., & Bartia, T. (2026). Efficiency of Agro-Industrial Product Quality Assessment Systems: International Practices and Challenges for Georgia. Business and Legislation, 19(1), 45-52.

Rahimov, E., Rahimov, J., & Nasirzade, A. (2026). Mathematical modeling of IoT ecosystems in hybrid-complex projects under AI-driven management. Journal of Engineering Sciences and Modern Technologies, 2(1).

Rahimov, E., Rahimov, J., & Allahverdiyeva, N. ANALYSIS AND MODELING OF IoT-ENABLED TELEMATICS PARAMETERS FOR MONITORING ENVIRONMENTAL POLLUTION CAUSED BY VEHICULAR EMISSIONS.

Avdeev, A.P. Macroeconomics Study Guide. - M.: Law and Law, Unity-Dana, 2015 .-- 352 p.

GASIMOV, J., BABAYEV, F., HUSEYNLI, I., & KHUDAVERDILI, U. (2026). Macroeconomic Divergence under Wartime Shocks: Inflation and Public Debt Dynamics in Eastern EU and Balkan Economies.

Kyrychok, T., Korotenko, O., Baglai, V., & Kyrychok, A. (2024, January). Investigation of quality recognition of banknotes marks for visually impaired people. In Sixteenth International Conference on Correlation Optics (Vol. 12938, pp. 182-185). SPIE.

Published

2026-02-24

Issue

Section

Articles