The effects of financial inclusion on the welfare of smallholder farmers in Songwe region, Tanzania: Multidimensional analysis

Authors

DOI:

https://doi.org/10.51867/ajernet.7.4.54

Keywords:

Composite Financial Inclusion Index, Financial Inclusion, Smallholder Farmers, Songwe Region, Tanzania, Welfare

Abstract

Financial inclusion has become a key component of the majority of poverty reduction and rural development policies in Sub-Saharan Africa, which are however subject to conflicting views and conditions in each context. This study explores the impact of financial inclusion, both on its own and as a composite index, on the welfare of the smallholder farmers in Songwe Region of Tanzania. The Sustainable Livelihoods Framework (SLF), the Technology Acceptance Model (TAM) and the Resource-Based Value Theory (RBVT) are the theories that underpin this study. The study used a cross-sectional survey type of research with a quantitative research approach based on the positivist paradigm. The smallholder farmers were sampled using multi-stage stratified random sampling and the questionnaires were administered to 386 farmers in four districts (Mbozi, Ileje, Momba and Songwe). The Composite Financial Inclusion Index (CFII) was derived using two-stage Principal Component Analysis (PCA) from four dimensions – access, usage, quality and digital financial services (DFS). Welfare effects were estimated using ordinary Least Squares regression with robust standard errors and using interaction-effects models. The results show a strong positive and significant relationship between the Usage dimension and the Welfare (β = 0.365, p = 0.001); Digital Financial Services has also a significant negative direct relationship with Welfare (β = –0.536, p < 0.001). There are practically no direct impacts of Access and Quality dimensions. The results of interaction analysis show that when combined with strong access, the negative digital effect is reversed (β = -1.057, p = 0.055); and the negative usage effect is strengthened when interacting with service quality (β = 0.639, p = 0.084). Education and income turn out to be the highest predictors of financial inclusion measures. The analysis shows that the impact of financial inclusion on welfare is not always positive and depends on the kind of financial inclusion. The policy recommendations are: 1) to encourage active rather than passive use; 2) to include financial and digital financial literacy programmes; 3) to build on consumer protection; and 4) to embed the digital financial services in the overall fabric of access. The results contribute to the understanding of the dynamics of financial inclusion in rural areas in Tanzania, and offer insights for policy interventions in specific contexts.

Downloads

Download data is not yet available.

References

Adegbite, O. O., Machethe, C. L., & Anderson, C. L. (2021). Revisiting the measurement of financial inclusion of rural smallholder farmers in Nigeria. Agricultural Finance Review, 81(4), 554-567. https://doi.org/10.1108/AFR-07-2020-0099

Bank of Tanzania. (2024). Annual financial inclusion report 2023. https://www.bot.go.tz/Publications/Regular/Annual%20Report/en/2024120408412609.pdf

Barney, J. B. (1991). Firm resources and sustained competitive advantage. Journal of Management, 17(1), 99-120. https://doi.org/10.1177/014920639101700108

Beegle, K., & Christiaensen, L. (Eds.). (2019). Accelerating poverty reduction in Africa. World Bank. https://doi.org/10.1596/978-1-4648-1232-3

Burgess, R., & Pande, R. (2005). Do rural banks matter? Evidence from the Indian social banking experiment. American Economic Review, 95(3), 780-795. https://doi.org/10.1257/0002828054201242

Cámara, N., & Tuesta, D. (2014). Measuring financial inclusion: A multidimensional index (Working Paper No. 14/26). BBVA Research. https://www.bbvaresearch.com/en/publicaciones/measuring-financial-inclusion-a-multidimensional-index/

https://doi.org/10.2139/ssrn.2634616

Chambers, R., & Conway, G. R. (1992). Sustainable rural livelihoods: Practical concepts for the 21st century (Discussion Paper No. 296). Institute of Development Studies.

Cochran, W. G. (1977). Sampling techniques (3rd ed.). Wiley.

Creswell, J. W., & Creswell, J. D. (2018). Research design: Qualitative, quantitative, and mixed methods approach (5th ed.). SAGE Publications.

Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319-340. https://doi.org/10.2307/249008

Demirgüç-Kunt, A., Klapper, L., Singer, D., & Ansar, S. (2022). The Global Findex Database 2021: Financial inclusion, digital payments, and resilience in the age of COVID-19. World Bank. https://doi.org/10.1596/978-1-4648-1897-4

Department for International Development. (1999). Sustainable livelihoods guidance sheets. Author.

Dupas, P., & Robinson, J. (2013). Savings constraints and microenterprise development: Evidence from a field experiment in Kenya. American Economic Journal: Applied Economics, 5(1), 163-192. https://doi.org/10.1257/app.5.1.163

Ellis, F. (2000). Rural livelihoods and diversity in developing countries. Oxford University Press.

https://doi.org/10.1093/oso/9780198296959.001.0001

Financial Sector Deepening Tanzania. (2023). FinScope Tanzania 2023: Key insights. https://www.fsdt.or.tz/wp-content/uploads/2023/07/Finscope-Tanzania-2023-Report-Key-Insights-One-Pager.pdf

Jack, W., & Suri, T. (2014). Risk sharing and transactions costs: Evidence from Kenya's mobile money revolution. American Economic Review, 104(1), 183-223. https://doi.org/10.1257/aer.104.1.183

Karlan, D., & Morduch, J. (2010). Access to finance. In D. Rodrik & M. Rosenzweig (Eds.), Handbook of development economics (Vol. 5, pp. 4703-4784). Elsevier. https://doi.org/10.1016/B978-0-444-52944-2.00009-4

Khera, P., Ng, S., Ogawa, S., & Sahay, R. (2022). Measuring digital financial inclusion in emerging market and developing economies: A new index. Asian Economic Policy Review, 17(2), 213-230. https://doi.org/10.1111/aepr.12377

Kouladoum, J. C., Wirajing, M. A. K., & Nchofoung, T. N. (2022). Digital technologies and financial inclusion in Sub-Saharan Africa. Telecommunications Policy, 46(9), 102387.).

https://doi.org/10.1016/j.telpol.2022.102387

Lotto, J. (2025). Analyzing Gender Disparity Through a Financial Inclusion Lens in Tanzania: Is Government Gender-based Policy Intervention Helpful?. Journal of Economics and Business. 8. 10.31014/aior.1992.08.02.666. https://doi.org/10.31014/aior.1992.08.02.666

Mbona, N. (2022). Impacts of overall financial development, access and depth on income inequality. Economies, 10(5), 118. https://doi.org/10.3390/economies10050118

National Bureau of Statistics. (2020). Household budget survey 2017/18: Tanzania mainland. United Republic of Tanzania.

National Bureau of Statistics. (2022). 2022 population and housing census: Administrative units population distribution report. United Republic of Tanzania.

National Council for Financial Inclusion. (2023). National financial inclusion framework (2023-2028). https://www.afi-global.org/wp-content/uploads/2023/08/National-Council-for-Financial-Inclusion.pdf

Ozili, P. K., Ademiju, A., & Rachid, S. (2023). Impact of financial inclusion on economic growth: Review of existing literature and directions for future research. International Journal of Social Economics, 50(8), 1105-1122. https://doi.org/10.1108/IJSE-05-2022-0339

Peteraf, M. A. (1993). The cornerstones of competitive advantage: A resource-based view. Strategic Management Journal, 14(3), 179-191. https://doi.org/10.1002/smj.4250140303

Risman, A., Ali, A. J., Soelton, M., & Siswanti, I. (2022). The behavioral finance of MSMEs in the advancement of financial inclusion and financial technology. Indikator Jurnal Ilmiah Manajemen dan Bisnis 8(2):19-29 DOI:10.22441/indikat

https://doi.org/10.22441/indikator.v8i2.26780

Scoones, I. (1998). Sustainable rural livelihoods: A framework for analysis (Working Paper No. 72). Institute of Development Studies.

Scoones, I. (2009). Livelihoods perspectives and rural development. The Journal of Peasant Studies, 36(1), 171-196. https://doi.org/10.1080/03066150902820503

Spyromitros, E., & Panagiotidis, M. (2022). The impact of corruption on economic growth in developing countries and a comparative analysis of corruption measurement indicators. Cogent Economics & Finance, 10(1), 2129368. https://doi.org/10.1080/23322039.2022.2129368

Suri, T., & Jack, W. (2016). The long-run poverty and gender impacts of mobile money. Science, 354(6317), 1288-1292. https://doi.org/10.1126/science.aah5309

United Nations Development Programme. (2022). Human development report 2021/2022: Uncertain times, unsettled lives: Shaping our future in a transforming world. https://hdr.undp.org/content/human-development-report-2021-22

https://doi.org/10.18356/9789210016407

Venkatesh, V., & Davis, F. D. (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management Science, 46(2), 186-204. https://doi.org/10.1287/mnsc.46.2.186.11926

Were, M., Odongo, M., and Caroline Israel, (2024). 'Gender disparities in financial inclusion in Tanzania', in Oliver Morrissey, Joseph Semboja, and Maureen Were (eds), Sustaining Tanzania's Economic Development: A Firm and Household Perspective (Oxford, 2024; online edn, Oxford Academic, 21 Mar. 2024), https://doi.org/10.1093/oso/9780192885746.003.0009, accessed 19 Oct. 2026.

White, H. (1980). A heteroskedasticity-consistent covariance matrix estimator and a direct test for heteroskedasticity. Econometrica, 48(4), 817-838. https://doi.org/10.2307/1912934

Wieser, C., Bruhn, M., Kinzinger, J., Ruckteschler, C., & Heitmann, S. (2019). The impact of mobile money on poor rural households: Experimental evidence from Uganda (Policy Research Working Paper No. 8913). World Bank. https://openknowledge.worldbank.org/bitstreams/a8fbd562-5ede-5a9d-82f8-2e7f02a7c999/download

Downloads

Published

2026-10-20

How to Cite

Hasunga, J. N., Mwakalobo , A. B. S. ., & Kira, A. R. (2026). The effects of financial inclusion on the welfare of smallholder farmers in Songwe region, Tanzania: Multidimensional analysis. African Journal of Empirical Research, 7(4), 666-680. https://doi.org/10.51867/ajernet.7.4.54