Socio-Demographics Determinants of Financial Literacy: Evidence from Sivagangai District

  • Authors

    • H. Sudarsan Ph.D Research Scholar (Part-Time), Department of Banking Management, Alagappa University, Karaikudi
    • K. Alamelu Senior Professor, Department of Banking Management, Alagappa University, Karaikudi
    • Av. Karthick Teaching Assistant, Department of Computational Logistics, Alagappa University, Karaikudi
    https://doi.org/10.14419/awfprq56

    Received date: July 27, 2025

    Accepted date: September 25, 2025

    Published date: October 10, 2025

  • 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.

  • References

    1. Bandura, A. (1977). Social Learning Theory. Englewood Cliffs, NJ: Prentice-Hall. https://doi.org/10.1177/105960117700200317.
    2. Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77-101. https://doi.org/10.1191/1478088706qp063oa.
    3. Census of India. (2011). District Census Handbook: Sivagangai. Office of the Registrar General and Census Commissioner, India.
    4. Creswell, J. W., & Plano Clark, V. L. (2017). Designing and Conducting Mixed Methods Research (3rd ed.). SAGE Publications.
    5. Iyer, M., & Krishnan, R. (2022). Digital financial inclusion in India: Who is left behind? South Asia Economic Journal, 23(1), 45-63.
    6. Kahneman, D., & Tversky, A. (1979). Prospect theory: An analysis of decision under risk. Econometrica, 47(2), 263-291. https://doi.org/10.2307/1914185.
    7. Kumar, S., & Patel, A. (2024). Behavioral interventions in digital financial literacy: Evidence from rural India. Journal of Development Economics, 168, 103-118.
    8. Lusardi, A., & Mitchell, O. S. (2021). The economic importance of financial literacy: Theory and evidence. Journal of Economic Literature, 59(3), 525-578.
    9. Meenakshi, R., & Rajendran, P. (2021). Socio-cultural barriers to women's financial empowerment in Sivagangai district. Journal of Social Studies, 39(4), 300-315.
    10. 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.
    11. National Centre for Financial Education. (2023). Financial Literacy and Inclusion in India: Annual Report 2023. NCFE Publications.
    12. OECD. (2021). OECD/INFE 2020 International Survey of Adult Financial Literacy. OECD Publishing. https://doi.org/10.1787/1e251731-en.
    13. Reserve Bank of India. (2019). Household Finance Committee Report. RBI Publications. Available at: https://www.rbi.org.in.
    14. 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.
    15. Securities and Exchange Board of India. (2023). Investor Awareness and Financial Education Report 2023. SEBI Publications. Available at: https://www.sebi.gov.in.
    16. 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.
    17. 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.
    18. Tamil Nadu State Rural Livelihoods Mission. (2023). Financial Inclusion and Awareness: A Survey of Rural Households in Sivagangai District. Government of Tamil Nadu.
    19. Government of India. (2021). Pradhan Mantri Jan Dhan Yojana: Progress Report 2021. Ministry of Finance. Available at:https://www.pmjdy.gov.in.
    20. 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.
    21. Karthick, A., &Muthupandi, K. (2022). Influence of Digital Transformation in Foreign Trade. Journal of the Asiatic Society of Mumbai, 97(15), 301-305.
    22. Vimala, B., & Alamelu, K. (2018). Financial literacy, perceived risk attitudes and investment intentions among women. Indian Journal of Research, 7(11), 468-470.
    23. 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.
  • Downloads

  • 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