Impact of digital financial inclusion on job creation, purchasing power, and standard of living in north-western Nigeria
DOI:
https://doi.org/10.65453/ajbmr.v14i4.1380Keywords:
Financial inclusion, Digital financial inclusion, Job creation, Purchasing power, Standard of living, Poverty reduction, North-Western Nigeria.Abstract
This study examines the impact of financial inclusion and digital financial inclusion on poverty reduction in North-Western Nigeria. This research employed a quantitative design to examine the effect of digital financial inclusion on poverty alleviation in Nigeria. A survey method was utilized to capture respondents’ perspectives, experiences, and opinions on the subject, relying on primary data collection from structured questionnaires. The data was collected from 415 households in the region; the research employs Partial Least Squares Structural Equation Modelling (PLS-SEM) to investigate the relationships between financial inclusion, digital financial inclusion and poverty reduction via (job creation, purchasing power, and standard of living). Findings of the research indicate that both financial inclusion and digital financial inclusion positively and significantly drives job creation by enabling entrepreneurship; the results further revealed that digital financial inclusion are positively and significant to purchasing power and household living standards. Thus, indicating that digital financial inclusion facilitates poverty reduction. This study provides empirical evidences that financial inclusion and digital financial inclusion reduce poverty. Policy implication for this study include recommendations for regulatory agencies and service providers to expand digital financial infrastructure., The data for the study was restricted to North-western Nigeria Only, which limits the generalization of the results. Hence future researchers are advice to include all the six regions in the country for generalization and policy formulation for the entire nation. It’s also recommend that future studies should expand to other regions of Nigeria to enhance generalizability.
References
Abiola, I. (2009). An assessment of fraud and its management in Nigeria commercial banks. European Journal of Social Sciences, 10(4), 628–640.
Aker, J. C., Boumnijel, R., McClelland, A., & Tierney, N. (2016). Payment mechanisms and antipoverty programs: Evidence from a mobile money cash transfer experiment in Niger. Economic Development and Cultural Change, 65(1), 1–37. https://doi.org/10.1086/687578
Akram, M. W., Ahmed, D., Trunina, A., Hamid, K., & Hafeez, M. (2023). How do financial fragility and ICT penetration affect renewable energy consumption and green growth in top-polluting economies?. Environmental science and pollution research international, 30, 38810–38818. Retrieved from: https://doi.org/10.1007/s11356-022-24978-3.
Alam, M. Z., Hu, W., Hoque, M. R., & Kaium, M. A. (2020). Adoption intention and usage behavior of mHealth services in Bangladesh and China: A cross-country analysis. International Journal of Pharmaceutical and Healthcare Marketing, 14(1), 37–60. https://doi.org/10.1108/IJPHM-03-2019-0023
Ali, J., & Khan, M. A. (2020). Micro and Macro Financial Inclusion and their impacts on economic growth: evidence from asian economies with alternative approaches. International Transaction Journal of Engineering, Management, & Applied Sciences & Technologies, 11(5), 11–17. https://doi.org/10.14456/ITJEMAST.2020.101
Allen, F., Demirguc-kunt, A., Klapper, L., Soledad, M., & Peria, M. (2016). The foundations of financial inclusion : understanding ownership and use of formal accounts. JEL: D14, G21, G28, 1–53.
Aribaba, F. O., Olamide Ahmodu, A. L., Oladele, R., Yusuff, A. S., & Olaleye, R. B. (2019). The role of deposit money banks’ loan facilities in financing small and medium-scale enterprises in Nigeria. Academic Journal of Interdisciplinary Studies, 8(2), 277–284. https://doi.org/10.2478/ajis-2019-0040
Asongu, S. A. (2024). The Role of mobile money innovations in the effect of inequality on poverty and severity of poverty in sub ‑ saharan Africa. Information Systems Frontiers, 26(4), 1565–1579. https://doi.org/10.1007/s10796-023-10427-0
Ayyagari, M., & Beck, T. (2018). Financial inclusion in Asia: An overview. SSRN Electronic Journal, 449. https://doi.org/10.2139/ssrn.2707540
Babbie, E. (2008). The basics of social research (Fourth). Thomson higher education.
Babbie, E. (2010). The Practice of Social Research (Twelfth). Wadsworth publishing company.
Beck, T., Demirgüç-Kunt, A., & Peria, M. S. M. (2008). Banking services for everyone? Barriers to bank access and use around the world. World Bank Economic Review, 22(3), 397–430. https://doi.org/10.1093/wber/lhn020
Brown, S. A., & Venkatesh, V. (2005). Model of adoption of technology in households: a baseline model test and extension incorporating household life cycle. MIS Quarterly, 29(3), 399–426.
Chibba, M. (2009). Financial Inclusion , poverty reduction and the millennium development goals. 21, 213–230. https://doi.org/10.1057/ejdr.2008.17
Chin, W. W. (1998). The Partial least squares approach to structural equation modeling. In modern methods for business research. Lawrence Erlbaum Associates, Publishers.
Creswell, J. W. (2014). Research design : qualitative, quantitative, and mixed methods approaches (4th ed.).
De Vaus, D. (2002). Surveys in social research. Psychology Press.
Demirgüç-Kunt, A., & Klapper, L. (2013). Measuring financial inclusion: explaining variation in use of financial services across and within countries. brookings papers on economic activity, 2013(1), 279–340. https://doi.org/10.1353/eca.2013.0002
Demirgüç-Kunt, A., Klapper, L., Singer, D., & Ansar, S. (2022). The global findex database 2021. In The Global Findex Database 2021. https://doi.org/10.1596/978-1-4648-1897-4
Demirgüç-Kunt, A., Klapper, L., Singer, D., Ansar, S., & Hess, J. (2018). The global findex database: measuring financial inclusion and the fintech revolution. https://doi.org/10.1596/978-1-4648-1259-0
DeVellis, R. F. (2003). Scale development: theory and applications 3rd Edition. In SAGE publication Ltd. SAGE Publications Ltd.
Dijkstra, T. K., & Henseler, J. (2015). Consistent and asymptotically normal PLS estimators for linear structural equations. Computational Statistics and Data Analysis, 81, 10–23. https://doi.org/10.1016/j.csda.2014.07.008
Dominic, P.-R., & Lanoue, N. (2015). Cutting fraud losses in canadian organizations. Journal of Financial Crime, 22(3), 295–304.
Economic Report. (2021). Central bank of nigeria. central bank of nigeria, 1(4), 1–6. https://www.cbn.gov.ng/cashless/
F. Hair Jr, J., Sarstedt, M., Hopkins, L., & G. Kuppelwieser, V. (2014). Partial least squares structural equation modeling (PLS-SEM). European Business Review, 26(2), 106–121. https://doi.org/10.1108/EBR-10-2013-0128
Fornell, C., & Larcker, D. F. (1981a). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39. https://doi.org/10.2307/3151312
G¨otz, O., Liehr-Gobbers, K., & Krafft, M. (2010). Evaluation of structural equation models using the partial least squares (PLS) approach. In V. E. Vinzi, W. W. Chin, J. Henseler, & H. Wang (Eds.), handbook of partial least squares concepts, methods and applications (p. 627). Springer-. https://doi.org/10.1007/978-3-642-16345-6
Gaudens-Omer, K. T. (2018). Imitation effect and endogenous entrepreneurial development in Africa. Journal of Small Business and Entrepreneurship Development, 6(1), 0–10. https://doi.org/10.15640/jsbed.v6n1a1
Groves, R. M., Fowler Jr., F. J., Couper, M. P., Lepkowski, J. M., Singer, E., & Tourangeau, R. (2004). Survey methodology.
Halbouni, S. S., Obeid, N., & Garbou, A. (2016). Corporate governance and information technology in fraud prevention and detection: evidence from the UAE. Managerial Auditing Journal, 31(6/7), 589–628. https://doi.org/http://dx.doi.org/10.1108/MRR-09-2015-0216
Hashemizadeh, A., Umair, R., Irfan, A., Syed, K., & Haider, A. (2023). Digital financial inclusion , environmental quality , and economic development : the contributions of financial development and investments in OECD countries. Environmental Science and Pollution Research. https://doi.org/10.1007/s11356-023-30275-4
Henri, J.-F. (2006). Organizational culture and performance measurement systems. Accounting, Organizations and Society, 3(1), 77–103.
Henseler, J. (2017). Partial least squares path modeling. In Advanced methods for modeling markets (Leeflang e, p. 361). Springer International Publishing AG. https://doi.org/10.1007/978-3-319-53469-5
Henseler, J., Ringle, C. M., & Sarstedt, M. (2014). A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the Academy of Marketing Science, 43(1), 115–135. https://doi.org/10.1007/s11747-014-0403-8
Hoyle, R. H. (1995). Structural equation model: concepts, issues, and applications. SAGE Publications India Pvt Ltd. https://doi.org/10.1007/s11336-013-9370-0
Idrees, M., Tahir, M., & Afridi, M. A. (2024). Measuring digital financial inclusion across the globe : a new multidimensional index. Qlantic Journal of Social Sciences and Humanities, 5(4), 272–288. https://doi.org/10.55737/qjssh.v-iv.24276
Islam, A. T. M. H., Abul, S., & Enamul, B. A. K. (2022). The impact of mobile money on long ‑ term poverty : evidence from Bangladesh. Journal of Social and Economic Development, 24(2), 436–455. https://doi.org/10.1007/s40847-022-00194-0
Keeter, S. (2005). Survey research. In D. Druckman (Ed.), Doing research: methods of inquiry for conflict analysis 123-162. Thousand Oaks, CA: Sage Publications, Inc.
Ketchen, D. J. (2013). A primer on partial least squares structural equation modeling. in long range planning (Vol. 46, Issues 1–2). https://doi.org/10.1016/j.lrp.2013.01.002
Koomson, I., Villano, R. A., & Hadley, D. (2020). Effect of financial inclusion on poverty and vulnerability to poverty: Evidence using a multi-dimensional measure of financial inclusion (nesra/wp/20/001; Network for socioeconomic research and advancement).
Kouladoum, J. C., Wirajing, M. A. K., & Nchofoung, T. N. (2022). Digital technologies and financial inclusion in Sub-Saharan Africa. Telecommunications Policy, 46(9). https://doi.org/10.1016/j.telpol.2022.102387
Krejcie, R. V, & Morgan, D. W. (1970). Determining sample size for reasearch activities. Educational and Psychological Measurement, 30, 607–610.
Kutz, M. (2003). Handbook of transportation engineering. 1000. https://doi.org/10.1036/0071391223
Lal, T. (2018a). Impact of financial inclusion on poverty alleviation through cooperative banks. International Journal of Social Economics, 45(5), 808–828. https://doi.org/10.1108/EL-01-2017-0019
Lal, T. (2018b). Impact of financial inclusion on poverty alleviation through cooperative banks. International Journal of Social Economics, 45(5), 807–827. https://doi.org/10.1108/IJSE-05-2017-0194
Lin, H., & Zhang, Z. (2023). The impacts of digital finance development on household income, consumption, and financial asset holding: an extreme value analysis of China’s microdata. Personal and Ubiquitous Computing, 27(4), 1607–1627. https://doi.org/10.1007/s00779-022-01667-z
Mathieu, L., & Kakinaka, M. (2020). Financial inclusion , mobile money , and individual welfare : The case of Burkina Faso. Telecommunications Policy, 44(3), 101926. https://doi.org/10.1016/j.telpol.2020.101926
Mazzocchi, M. (2008). Sampling probability and inference. statistics for marketing and consumer Research, 103–129.
Mbiti, I., & Weil, D. N. (2016). Mobile banking the impact of m- pesa in kenya. in african successes, Volume III: Modernization and development: Vol. III (Issue September, p. 415). University of Chicago Press.
Mubiru, J. (2012). Financial Inclusion as tool for combating poverty:joseph mubiru memorial lecture. Bangladesh Bank.
Nan, W. V., & Markus, M. L. (2021). What we know and don ’ t know about the socioeconomic impacts of mobile money in Sub-Saharan Africa : A systematic literature review. March 2020, 1–22. https://doi.org/10.1002/isd2.12155
Nunnally, J. C., & Bernstein, I. H. (1994). Psychometric theory. In McGraw-Hill, New York (3rd ed.). McGraw-Hill Companies, Inc. http://scholar.google.com.vn/scholar?q=Psychometric+Theory+3rd&btnG=&hl=vi&as_sdt=0,5#0
Olaoye, O., & Zerihun, M. F. (2023). Financial inclusion and poverty reduction in Nigeria: the role of information and communication technology (ICT). African Journal of Economic and Management Studies, August. https://doi.org/10.1108/AJEMS-12-2022-0488
Osuagwu, L. (2001). Marketing strategy effectiveness in Nigerian banks. Academy of Marketing Studies Journal, 5(1), 22–30.
Ozili, P. K. (2020). Theories of financial inclusion. In Uncertainty and challenges in contemporary economic behaviour (104257; pp. 89–115). Emerald Publishing Limited. https://doi.org/10.1108/978-1-80043-095-220201008
Ozili, P. K. (2021). Measuring financial inclusion and financial exclusion.n New Challenges for Future Sustainability and Wellbeing. Emerald Publishing Limited, 107866, 411–427.
Ozili, P. K. (2024). Digital agency theory of financial inclusion : A theory of digital financial inclusion: In In Developing Digital Inclusion Through Globalization and Digitalization (Issue June, pp. 53–69). IGI Global. https://doi.org/10.4018/979-8-3693-4111-7.ch004
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
Pande, C. B., Prasad, D., Joshi, R. K., Rawat, M. S. M., & Pant, G. (1998). Allelopathic potential of Prunus amygdalus and identification of allelochemicals. Allelopathy Journal, 5(1), 83–88. https://doi.org/10.1016/j.lrp.2013.01.002
Peng, D. X., & Lai, F. (2012). Using partial least squares in operations management research : A practical guideline and summary of past research. Journal of Operations Management, 30(6), 467–480. https://doi.org/10.1016/j.jom.2012.06.002
Pett, M. A., Lackey, N. R., & Sullivan, J. J. (2013). Making sense of factor analysis: the use of factor analysis for instrument development in health research. Sage Publications, Inc. https://doi.org/10.1017/CBO9781107415324.004
Salkind, N. J. (2012). Exploring Research (Eighth). Pearson education, inc.
Sarstedt, M., Hair, J. F., Cheah, J. H., Becker, J. M., & Ringle, C. M. (2019). How to specify, estimate, and validate higher-order constructs in PLS-SEM. Australasian Marketing Journal, xxxx. https://doi.org/10.1016/j.ausmj.2019.05.003
Sekaran, U., & Bougie, R. (2010). Research methods for business: A skill building approach (5th ed.). Chichester: John Willey and Sons Ltd. (2010). Research methods for business: A skill building approach (5th ed.). Chichester: John Willey and Sons Ltd.
Sekaran, U., & Bougie, R. (2016). Research methods for business: A Skill-Building Approach (7th ed.). John Wiley & Sons Ltd. All. https://doi.org/10.13140/RG.2.1.1419.3126
Seng, K. (2021). The mobile money’s poverty-reducing promise : Evidence from Cambodia. World Development Perspectives, 22(May), 100310. https://doi.org/10.1016/j.wdp.2021.100310
Sethi, D., & Acharya, D. (2018). Financial inclusion and economic growth linkage: some cross country evidence. Journal of Financial Economic Policy, 10(3), 369–385. https://doi.org/10.1108/JFEP-11-2016-0073
Shen, Y., Hueng2, C. J., & Hu, W. (2020). Measurement and spillover effect of digital financial inclusion : a cross-country analysis. Applied Economics Letters. https://doi.org/10.1080/13504851.2020.1853663
Suri, T., & Jack, W. (2016). Financial inclusion-measurement in the arab-world. science, 354(6317), 1288–1292.
Venkatesh, V., & Bala, H. (2008). Technology acceptance model 3 and a research agenda on interventions. Decision Sciences, 39(2), 273–315. https://doi.org/10.1111/j.1540-5915.2008.00192.x
Voorhees, C. M., Brady, M. K., Calantone, R., & Ramirez, E. (2016). Discriminant validity testing in marketing: an analysis, causes for concern, and proposed remedies. Journal of the Academy of Marketing Science, 44(1), 119–134. https://doi.org/10.1007/s11747-015-0455-4
Wachuku, I., & Amadi, J. C. (2024). Digital financial inclusion and poverty alleviation in nigeria. Journal of Financial Technology and Business Innovation, 2024(1), 13–32.
Wang, J. S. H., Ssewamala, F. M., Neilands, T. B., Bermudez, L. G., Garfinkel, I., Waldfogel, J., Brooks-Gunn, J., & You, J. (2018). effects of financial incentives on saving outcomes and material well-being: evidence from a randomized controlled trial in Uganda. Journal of Policy Analysis and Management, 37(3), 602–629. https://doi.org/10.1002/pam.22065
Wezel, T., & Jack Ree. (2023). Nigeria fostering financial inclusion through digital financial services. In IMF Selected Issues Paper JEL E42, E58, G28, G53 (SIP/2023/020; Report No 2023/094). https://doi.org/10.5958/2249-6270.2019.00017.5
Ye, Y., Wu, Q., Zhexue Huang, J., Ng, M. K., & Li, X. (2013). Stratified sampling for feature subspace selection in random forests for high dimensional data. Pattern Recognition, 46(3), 769–787. https://doi.org/10.1016/j.patcog.2012.09.005
Zhou, L. (2021). An approach to study the poverty reduction effect of digital inclusive finance from a multidimensional perspective based on clustering Algorithms. 2021.
Zikmund, W. G. (2013). Basic and Applied research. in business research methods.
Zikmund, W. G., Babin, B. J., Carr, J. C., & Griffin, M. (2012). Business Research methods. 696. https://doi.org/10.1.1.131.2694
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