Analysis of financial literacy and its effects on financial inclusion in Uganda
Jason Kasozi · Daniel Makina
International Journal of Finance & Banking Studies · 2021 · Vol. 10 / Issue 3 · 67-83
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Abstract
The paper investigates whether financial literacy influences financial inclusion in Uganda on the premise that there are currently few to no studies that investigate this causality and the general lack of consensus on an appropriate measure for financial literacy. It uses data from the FinScope (2018) consumer survey on Uganda and applies Principal Component Analysis (PCA) to construct a composite financial literacy index of the adult bankable population (16 years and older). The index is then regressed - alongside other demand-side control variables, against a measure of financial inclusion using logistic models. Our measure of financial literacy significantly and positively affects financial inclusion in Uganda even in the presence of variables like age, gender, income, and education. Individuals who make financial ends meet, plan for their financial future welfare, seek financial advice, and are receptive towards technology, are 'ceteris paribus', more likely to be financially included than not. Technology and mobile money adoption enhance financial inclusion while more men are financially included than women. While the dataset is limited to demand-side variables of Uganda and cannot be generalised, comparative cross-country studies with robust datasets are needed to provide further insights. The paper advances a novel approach for measuring financial literacy for developing economies while contributing to efforts to standardize an international measure. It also provides empirical insights to support the notion that financial literacy should be addressed more holistically and recommends this approach for improving financial inclusion in Uganda and globally.
Keywords: {'name': 'financial literacy'}, {'name': 'financial inclusion'}, {'name': 'principal component analysis'}, {'name': 'logistic regressions'}, {'name': 'Uganda'}
Authors & affiliations
Jason Kasozi
Affiliation not supplied
Daniel Makina
Affiliation not supplied
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Alhenawi, Y., & Elkhal, K. (2013). Financial literacy of US households: Knowledge vs. long-term financial planning. Financial Services Review. 22 (2013), 211 – 244. [https://ssrn.com/abstract=2532068]
DOI: 10.1016/j.jfi.2015.12.003
DOI: 10.1111/ijcs.12163
DOI: 10.1016/j.iimb.2015.09.004
Assad, T., (2015). Financial literacy and financial behavior: Assessing knowledge and confidence. Financial Services Review, 24 (2015), 101 - 117.
Atkinson, A., & Kempson, E. (2008). Measuring and improving financial capability: Designing an approach for Kenya. Personal Finance Research Centre, University of Bristol.
DOI: 10.1017/S1474747211000539
DOI: 10.1787/20797117
DOI: 10.1787/5k3xz6m88smp-en
DOI: 10.1111/j.1467-9302.2007.00552.x
DOI: 10.4018/IJPSS.2021070101
DOI: 10.1016/j.cpa.2012.11.011
DOI: 10.1111/j.1468-0416.2007.00120.x
DOI: 10.1093/wber/lhn021
DOI: 10.1093/wbro/lkn008
DOI: 10.1177/002795011322500105
DOI: 10.1017/S1474747211000485
DOI: 10.2139/ssrn.1793502
Cole, S., & Shastry, K. (2009). Smart money: The effect of education, cognitive ability and financial literacy on financial market participation. Harvard Business School working paper, No. 71(2009), 1 - 39.
DOI: 10.1111/j.1540-6261.2011.01696.x
DOI: 10.1108/JFEP-11-2019-0227
Dev, M. (2006). Financial inclusion: Issues and challenges. Economic and Political Weekly, 41(41), 4310 – 4313. [https://www.jstor.org/stable/4418799]
DOI: 10.1257/app.6.2.1
Finlit Foundation Uganda, (2012). Results of the national financial literacy baseline survey in Uganda. The Public Sector Foundation Uganda.
FinScope, (2013). FinScope III survey key findings: Unlocking barriers to financial inclusion. Available from: http://www.finscope.co.za/Uganda. Accessed: March 2016. [https://fsduganda.or.ug/research-reports]
FinScope, (2018). Topline findings report on Uganda. [http://www.finscope.co.za/Uganda]
DOI: 10.1016/j.chieco.2014.12.004
DOI: 10.1108/IJSE-11-2016-0303
DOI: 10.1016/j.jue.2017.02.001
Greene, W. (2008). Econometric analysis. 6th ed. New York: Prentice Hall.
DOI: 10.1016/j.worlddev.2018.06.020
DOI: 10.1093/rof/rfu033
Hair, J. F., William, B., Babin, B. J., & Anderson, R. (2014). Multivariate data analysis. 7th ed. London: Pearson.
DOI: 10.1146/annurev-economics-082312-125807
Hilgert, M. A., & Horgath, J., M. (2003). Household financial behavior : The connection between knowledge and behavior. Federal Reserve Bulletin, 89 (8), 309 – 322.
DOI: 10.2139/ssrn.1498674
DOI: 10.1111/j.1745-6606.2010.01170.x
Kempson, E., & Whyley, C. (1999b). Understanding and combating financial exclusion. Insurance Trends. 21(1999), 18 - 22.
Kempson, E., Perotti, V., & Scott, K. (2013). Measuring financial capability: A new instrument and results for low- and middle-income countries. The World Bank. Washington DC. [http://hdl.handle.net/10986/16296]
Klapper, L., Lusardi, A., & van Oudheusden, P. (2016). Financial Literacy Around the World: Insights from the standard and poor’s rating services global financial literacy survey. The World Bank. Washington DC.
DOI: 10.1016/j.jebo.2016.08.016
DOI: 10.1257/jel.52.1.5
DOI: 10.2139/ssrn.1095869
DOI: 10.1080/0376835X.2012.706034
DOI: 10.1108/IJBM-05-2016-0065
DOI: 10.1016/j.asieco.2020.101197
DOI: 10.1016/j.ribaf.2016.09.018
DOI: 10.4102/sajems.v21i1.1645
OECD/INFE, (2015). Toolkit for measuring financial literacy and financial inclusion. Paris: OECD.
OECD/INFE, (2016). International survey of adult financial literacy competencies. Paris: OECD.
Pallant, J. (2011). SPSS survival manual: A step-by-step guide to data analysis using SPSS. 4th ed. Melbourne: Allen & Unwin.
DOI: 10.1080/1351847X.2020.1717569
Ramji, M. (2009). Financial Inclusion in Gulbarga: Finding usage in access. Institute of Financial Management and Research. Working papers on Microfinance. No 26. Centre of Micro Finance: [http://ifmr.ac.in/cmf/eomf6financialinclusion.html]
DOI: 10.1111/j.1745-6606.2010.01169.x
DOI: 10.3390/jrfm13120324
DOI: 10.1007/978-1-4614-0475-0_1
Sarma, M. (2015). Measuring financial inclusion. Economics Bulletin, 35 (1), 604 – 611.
DOI: 10.1111/ecoj.12217
DOI: 10.1111/joca.12010
DOI: 10.1111/j.1745-6606.2008.00108.x
Silgoner, M. A., Bettina, G., & Weber, R. (2015). Financial literacy gaps of the Austrian population. Monetary Policy and the Economy, 2 (2015), 43 – 50.
DOI: 10.1016/j.worlddev.2013.10.019
Tabachnick, B. G., & Fidell, L., S. (2007). Using multivariate statistics. 5th ed. New York: Pearson.
Triki, T., & Faye, I. (2013). Financial inclusion in Africa. African Development Bank Group, Abidjan.
Vitt, L., Reichbach, G. M., Kent, J. L., & Siebenthaler, J., K. (2015). Goodbye to complacency: Financial literacy education in the United States. Institute of Socio-Financial Studies AARP. [http://dx.doi.org/10.13140/RG.2.1.2322.6967]
World Bank. (2012). Financial inclusion strategies: Reference framework. World Bank, Washington DC.
World Bank. (2017). Global Findex Database 2017: Measuring Financial Inclusion and the Fintech Revolution. The World Bank, Washington DC.
DOI: 10.1007/s11205-013-0555-9
Zakaria, N. F., & Sabri, M., F. (2013). Review of financial capability studies. International Journal of Humanities and Social Science, 9 (3), 197 - 203.
DOI: 10.1016/j.rdf.2016.05.001