Socio-Demographics Determinants of Financial Literacy: Evidence from Sivagangai District
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https://doi.org/10.14419/awfprq56
Received date: July 27, 2025
Accepted date: September 25, 2025
Published date: October 10, 2025
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Behavioral Economics; Digital Financial Inclusion; Rural-Urban Disparity; Social Learning Theory; Digital Literacy -
Abstract
Financial literacy represents a critical determinant of economic well-being and community development, particularly in developing economies where financial inclusion remains a policy priority. This study employs a mixed-methods approach to examine financial literacy disparities between rural and urban populations in Sivagangai district, Tamil Nadu, through behavioral economics and social learning theory frameworks. Data was collected from 200 strategically selected respondents (100 rural, 100 urban) using structured surveys and semi-structured interviews. The research reveals substantial literacy gaps: urban respondents demonstrated 92% bank account awareness compared to 78% rural, with digital banking usage showing the widest disparity (88% urban vs. 39% rural). Key barriers identified include inadequate formal education (rural mean: 4.42), low digital literacy (4.50), and cultural constraints (3.98). Post-intervention analysis confirmed the effectiveness of targeted awareness programs, with both groups showing significant improvement (p < 0.001). The study con-contributes to financial inclusion literature by demonstrating how socioeconomic stratification intersects with geographic location to create com-compounding literacy disadvantages. Theoretical implications extend behavioral economics research by showing how information asymmetries and cognitive biases differently affect rural versus urban financial decision-making. Policy recommendations include curriculum integration, vernacular content development, and community-based peer education programs tailored to local contexts.
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References
- Bandura, A. (1977). Social Learning Theory. Englewood Cliffs, NJ: Prentice-Hall. https://doi.org/10.1177/105960117700200317.
- Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77-101. https://doi.org/10.1191/1478088706qp063oa.
- Census of India. (2011). District Census Handbook: Sivagangai. Office of the Registrar General and Census Commissioner, India.
- Creswell, J. W., & Plano Clark, V. L. (2017). Designing and Conducting Mixed Methods Research (3rd ed.). SAGE Publications.
- Iyer, M., & Krishnan, R. (2022). Digital financial inclusion in India: Who is left behind? South Asia Economic Journal, 23(1), 45-63.
- Kahneman, D., & Tversky, A. (1979). Prospect theory: An analysis of decision under risk. Econometrica, 47(2), 263-291. https://doi.org/10.2307/1914185.
- Kumar, S., & Patel, A. (2024). Behavioral interventions in digital financial literacy: Evidence from rural India. Journal of Development Economics, 168, 103-118.
- Lusardi, A., & Mitchell, O. S. (2021). The economic importance of financial literacy: Theory and evidence. Journal of Economic Literature, 59(3), 525-578.
- Meenakshi, R., & Rajendran, P. (2021). Socio-cultural barriers to women's financial empowerment in Sivagangai district. Journal of Social Studies, 39(4), 300-315.
- Miller, G. A. (1956). The magical number seven, plus or minus two: Some limits on our capacity for processing information. Psychological Review, 63(2), 81-97. https://doi.org/10.1037/h0043158.
- National Centre for Financial Education. (2023). Financial Literacy and Inclusion in India: Annual Report 2023. NCFE Publications.
- OECD. (2021). OECD/INFE 2020 International Survey of Adult Financial Literacy. OECD Publishing. https://doi.org/10.1787/1e251731-en.
- Reserve Bank of India. (2019). Household Finance Committee Report. RBI Publications. Available at: https://www.rbi.org.in.
- Reserve Bank of India. (2022). Report on Trend and Progress of Banking in India 2021-22. RBI Publications. Available at: https://www.rbi.org.in.
- Securities and Exchange Board of India. (2023). Investor Awareness and Financial Education Report 2023. SEBI Publications. Available at: https://www.sebi.gov.in.
- Sharma, R., & Prasad, V. (2022). Urban-rural divide in financial literacy: A case study of Southern India. International Journal of Finance and Economics, 27(1), 88-102. https://doi.org/10.1002/ijfe.2425.
- Sundaram, S., & Devi, L. (2023). Impact of financial literacy programs on rural women in Tamil Nadu. Indian Journal of Rural Development, 42(2), 210-225.
- Tamil Nadu State Rural Livelihoods Mission. (2023). Financial Inclusion and Awareness: A Survey of Rural Households in Sivagangai District. Government of Tamil Nadu.
- Government of India. (2021). Pradhan Mantri Jan Dhan Yojana: Progress Report 2021. Ministry of Finance. Available at:https://www.pmjdy.gov.in.
- Karthick, A. V., & Alamelu, K. (2024). Internet of Things, Artificial intelligence, Big Data and Cloud Application Technology for Acceleration on Business Resilience. In Resilient Businesses for Sustainability: Artificial Intelligence, Technology, Supply Chain Management and Society, Part A (pp. 153-160). Emerald Publishing Limited. https://doi.org/10.1108/S1877-63612024000034A013.
- Karthick, A., &Muthupandi, K. (2022). Influence of Digital Transformation in Foreign Trade. Journal of the Asiatic Society of Mumbai, 97(15), 301-305.
- Vimala, B., & Alamelu, K. (2018). Financial literacy, perceived risk attitudes and investment intentions among women. Indian Journal of Research, 7(11), 468-470.
- Karthick, A. V., & Pandi, K. M. (2016). An overview of cost provisioning strategies for cloud computing. International Journal of Advanced Re-search in IT and Engineering, 5(3), 1-8.
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How to Cite
Sudarsan , H. ., Alamelu, K. . ., & Karthick , A. . (2025). Socio-Demographics Determinants of Financial Literacy: Evidence from Sivagangai District. International Journal of Accounting and Economics Studies, 12(6), 352-363. https://doi.org/10.14419/awfprq56
