Abstract
This study provides minimum economic growth (or GDP growth) critical masses or thresholds that should be exceeded in order for demand-side mobile money factors to favorably drive mobile money innovations for financial inclusion in developing countries. The considered mobile money innovations are mobile money accounts, the mobile phone used to send money, and the mobile phone used to receive money. The empirical evidence is based on tobit regressions. For positive net relationships that are established, an extended analysis is engaged to provide minimum GDP growth levels required to sustain the positive net nexuses. From this extended analysis, in order for economic growth to modulate demand-side mobile money drivers to favorably influence mobile money innovations, minimum GDP growth rates are (i) 3.875% for the nexus between bank accounts and the mobile phone used to send money; (ii) 3.769% for the relationship between automated teller machine (ATM) penetration and the mobile used to send money; and (iii) 3.666% for the nexus between ATM penetration and the mobile phone used to receive money.
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Notes
Throughout the study, “mobile phones” and “the mobile” are used interchangeably. Mobile money innovations represent mobile money accounts, mobile used to send money, and mobile used to receive money.
References
Agoba, A. M., Abor, J., Osei, K. A., & Sa-Aadu, J. (2019). Do independent central banks exhibit varied behaviour in election and non-election years: The case of fiscal policy in Africa. Journal of African Business, 21(1), 105–125.
Agrawal, A., Kumar, C., & Mukti, S. K. (2021). Role of information and communication technology (ICT) to enhance the success of knowledge management (KM): A study in a steel plant. Journal of the Knowledge Economy, 12(4), 1760–1786.
Ajide, K. B., Raheem, I. D., & Asongu, S. A. (2019). Dollarization and the “unbundling” of globalization in sub-Saharan Africa. Research in International Business and Finance, 47(January), 398–409.
Amavilah, V., Asongu, S. A., & Andrés, A. R. (2017). Effects of globalization on peace and stability: Implications for governance and the knowledge economy of African countries. Technological Forecasting and Social Change, 122(September), 91–103.
Amemiya, T. (1984). Tobit models: A survey. Journal of Econometrics, 24(1–2), 3–61.
Anarfo, E. B., Abor, J. Y., & Osei, K. A. (2020). Financial regulation and financial inclusion in sub-Saharan Africa: Does financial stability play a moderating role? Research in International Business and Finance, 51(January), 101070.
Ariss, R. T. (2010). On the implications of market power in banking: Evidence from developing countries. Journal of Banking and Finance, 34(4), 765–775.
Asongu, S. A. (2013). How has mobile phone penetration stimulated financial development in Africa. Journal of African Business, 14(1), 7–18.
Asongu, S. A. (2021). The effects of mobile phone technology, knowledge creation and diffusion on inclusive human development in sub-Saharan Africa. Journal of the Knowledge Economy, 12(3), 1367–1398.
Asongu, S. A., Agyemang-Mintah, P., & Nting, R. T. (2021a). Law, mobile money drivers and mobile money innovations in developing countries. Technological Forecasting and Social Change, 168(July), 120776.
Asongu, S. A., & Asongu, N. (2018). The comparative exploration of mobile money services in inclusive development. International Journal of Social Economics, 45(1), 124–139.
Asongu, S. A., & Biekpe, N. (2018). ICT, information asymmetry and market power in African banking industry. Research in International Business and Finance, 44(April), 518–531.
Asongu, S. A., Biekpe, N., & Cassimon, D. (2020a). Understanding the greater diffusion of mobile money innovations in Africa. Telecommunications Policy, 44(8), 102000.
Asongu, S. A., Biekpe, N., & Cassimon, D. (2021b). On the diffusion of mobile phone innovations for financial inclusion. Technology in Society, 65(May), 101542.
Asongu, S. A., le Roux, S., Nwachukwu, J. C., & Pyke, C. (2019). The mobile phone as an argument for good governance in sub-Saharan Africa. Information Technology & People, 32(4), 897–920.
Asongu, S. A., & Kuada, J. (2020). Building knowledge economies in Africa: An introduction. Contemporary Social Science, 15(1), 1–6.
Asongu, S. A., Nnanna, J., & Acha-Anyi, P. N. (2020b). Inequality and gender economic inclusion: The moderating role of financial access in sub-Saharan Africa. Economic Analysis and Policy, 65(March), 173–185.
Asongu, S. A., Nnanna, J., & Acha-Anyi, P. N. (2020c). Inclusive education for inclusive economic participation: The financial access channel. Gender in Management, 35(5), 481–503.
Asongu, S. A., & Nwachukwu, J. C. (2016). The role of governance in mobile phones for inclusive human development in sub-Saharan Africa. Technovation 55–56 (September- October), pp. 1–13.
Asongu, S. A., Nwachukwu, J., & Tchamyou, S. V. (2016). Information asymmetry and financial development dynamics in Africa. Review of Development Finance, 6(2), 126–138.
Asongu, S. A., & Odhiambo, N. M. (2018a). Information asymmetry, financialization, and financial access. International Finance, 21(3), 297–315.
Asongu, S. A., & Odhiambo, N. M. (2018b). Human development thresholds for inclusive mobile banking in developing countries. African Journal of Science, Technology, Innovation and Development, 10(6), 735–744.
Asongu, S. A., & Odhiambo, N. M. (2019). Environmental degradation and inclusive human development in sub-Saharan Africa. Sustainable Development, 27(1), 25–34.
Asongu, S. A., & Odhiambo, N. M. (2020a). Economic development thresholds for a green economy in sub-Saharan Africa. Energy Exploration & Exploitation, 38(1), 3–17.
Asongu, S. A., & Odhiambo, N. M. (2020b). Foreign direct investment, information technology and economic growth dynamics in sub-Saharan Africa. Telecommunications Policy, 44(1), 101838.
Azimi, M., Feng, F., & Zhou, C. (2020). Environmental policy innovation in China and examining its dynamic relations with air pollution and economic growth using SEM panel data. Environmental Science and Pollution Research, 27, 9987–9998.
Boateng, A., Asongu, S. A., Akamavi, R., & Tchamyou, V. S. (2018). Information asymmetry and market power in the African banking industry. Journal of Multinational Financial Management, 44(March), 69–83.
Carson, R. T., & Sun, Y. (2007). The Tobit model with a non-zero threshold. Econometrics Journal, 10(3), 488–502.
Coccorese, P., & Pellecchia, A. (2010). Testing the ‘quiet life’ hypothesis in the Italian banking industry. Economic Notes by BancadeiPaschi Di Siena SpA, 39(3), 173–202.
Costantini, M., & Lupi, C. (2005). Stochastic convergence among European economies. Economics Bulletin, 3(38), 1–17.
De Guevara, J. F., Maudos, J., & Pérez, F. (2005). Market power in European banking. Journal of Financial Services Research, 27(2), 109–138.
Demirgüc-Kunt, A., & Klapper, L. (2012). Measuring financial inclusion: The Global Findex Database. World Bank Policy Research Working Papers No. WPS 6025, Washington.
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, 1, 279–340.
Demirgüç-Kunt, A., Klapper, L., & Van Oudheusden, P. (2015). The Global Findex Database 2014. World Bank Policy Research Working PaperNo. 7255, Washington D.C.
El Ghak, T., Gdairia, A., & Abassi, B. (2021). High-tech entrepreneurship and total factor productivity: The case of innovation-driven economies. Journal of the Knowledge Economy, 12(3), 1152–1186.
Gherghina, S. C., Botezatu, M. A., Hosszu, A., & Simionescu, L. N. (2020). Small and medium-sized enterprises (SMEs): The engine of economic growth through investments and innovation. Sustainability, 12(1), 347, pp. 1–22. https://doi.org/10.3390/su12010347
Gosavi, A. (2018). Can mobile money help firms mitigate the problem of access to finance in Eastern sub-Saharan Africa. Journal of African Business, 18(4), 343–360.
GSMA. (2018). The mobile economy 2018. Retrieved April 02, 2020, from https://www.gsmaintelligence.com
Gruber, H., & Koutroumpis, P. (2013). Competition enhancing regulation and diffusion of innovation: The case of broadband networks. Journal of Regulatory Economics, 43(2), 168–195.
HamidiMotlagh, R., Babaee, A., Maleki, A., & Isaai, M. T. (2020). Innovation policy, scientific research and economic performance: The case of Iran. Development Policy Review, 38(3), 387–407.
Kennedy, P. (2008). A guide to econometrics. Blackwell Publishing.
Klapper, L., El-Zoghbi, M., & Hess, J. (2016). Achieving the sustainable development goals: The role of financial inclusion. CGAP. Retrieved April 20, 2020, from https://microinsurancenetwork.org/sites/default/files/CGAP_Working-Paper-Achieving-Sustainable-Development-Goals.pdf
Klevenhusen, A., Coelho, J., Warszawski, L., Moreira, J., Wanke, P., & Ferreira, J. J. (2021). Innovation efficiency in OECD countries: A non-parametric approach. Journal of the Knowledge Economy, 12(3), 1064–1078.
Koetter, M., & Vins, O. (2008). The quiet life hypothesis in banking-evidence from German savings banks, Department of Finance, Goethe University, Working Paper Series: Finance and Accounting No. 190, Frankfurt.
Kouton, J., Bétila, R. R., & Lawin, M. (2021). The impact of ICT development on health outcomes in Africa: Does economic freedom matter? Journal of the Knowledge Economy, 12(4), 1830–1869.
Kumbhakar, S. C., & Lovell, C. A. K. (2000). Stochastic frontier analysis. Cambridge University Press.
Kusi, B. A., Agbloyor, E. K., Ansah-Adu, K., & Gyeke-Dako, A. (2017). Bank credit risk and credit information sharing in Africa: Does credit information sharing institutions and context matter? Research in International Business and Finance, 42(December), 1123–1136.
Kusi, B. A., & Opoku-Mensah, M. (2018). Does credit information sharing affect funding cost of banks? Evidence from African banks. International Journal of Finance & Economics, 23(1), 19–28.
Lashitew, A. A., van Tulder, R., & Liasse, Y. (2019). Mobile phones for financial inclusion: What explains the diffusion of mobile money innovations? Research Policy, 48(5), 1201–1215.
Mas, I., & Morawczynski, O. (2009). Designing mobile money services lessons from M-Pesa. Innovations, 4(2), 77–91.
Morsy, H. (2020). Access to finance – Mind the gender gap. The Quarterly Review of Economics and Finance. https://doi.org/10.1016/j.qref.2020.02.005
Muwanguzi, S., & Musambira, G. (2009). The transformation of east Africa’s economy using mobile phone money transfer services: A comparative analysis of Kenya and Uganda’s experiences. Journal of Creative Communications, 4(2), 131–146.
Murendo, C., Wollni, M., De Brauw, A., & Mugabi, N. (2018). Social network effects on mobile money adoption in Uganda. Journal of Development Studies, 54(2), 327–342.
Narayan, P. K., Mishra, S., & Narayan, S. (2011). Do market capitalization and stocks traded converge? New global evidence. Journal of Banking and Finance, 35(10), 2771–2781.
Ngouhouo, I., & Nchofoung, T. N. (2021). Economic resilience in sub-Saharan Africa: Evidence from composite indicators. Journal of the Knowledge Economy. https://doi.org/10.1007/s13132-020-00717-2
O’brien, R. M. (2007). A caution regarding rules of thumb for variance inflation factors. Quality & Quantity, 41(5), 673–690.
Oluwatobi, S., Olurinola, I., Alege, P., & Ogundipe, A. (2020). Knowledge-driven economic growth: The case of sub-Saharan Africa. Contemporary Social Science, 15(1), 62–81.
Ondiege, P. (2010). Mobile banking in Africa: Taking the bank to the people. Africa. Economic Brief, 1(8), 1–16.
Ryan, R., O’Toole, C., & McCann, F. (2014). Does bank market power affect SME financing constraints? Journal of Banking and Finance, 49(December), 495–505.
Sepehrdoust, H., Tartar, M., & Davarikish, R. (2021). Does scientific productivity stimulate intensified technology exports in developing economies. Journal of the Knowledge Economy, 12(4), 2111–2135.
Teixeira A. A. C., & Correia S. F. (2020). Determinants of the economic performance of Portuguese family firms: Is innovation relevant?. In: Saiz-Álvarez J., Leitão J., Palma-Ruiz J. (eds) Entrepreneurship and Family Business Vitality. Studies on Entrepreneurship, Structural Change and Industrial Dynamics. Springer, Cham.
Tchamyou, V. S. (2017). The role of knowledge economy in African business. Journal of the Knowledge Economy, 8(4), 1189–1228.
Tchamyou, V. S. (2019). The role of information sharing in modulating the effect of financial access on inequality. Journal of African Business, 20(3), 317–338.
Tchamyou, V. S., & Asongu, S. A. (2017). Information sharing and financial sector development in Africa. Journal of African Business, 18(7), 24–49.
Tchamyou, V. S., Asongu, S. A., & Odhiambo, N. M. (2019a). The role of ICT in modulating the effect of education and lifelong learning on income inequality and economic growth in Africa. African Development Review, 31(3), 261–274.
Tchamyou, V. S., Erreygers, G., & Cassimon, D. (2019b). Inequality, ICT and financial access in Africa. Technological Forecasting and Social Change, 139(February), 169–184.
Tobin, J. (1958). Estimation of relationships for limited dependent variables. Econometrica, 26(1), 24–36.
Uduji, J. I., & Okolo-Obasi, E. N. (2018a). Adoption of improved crop varieties by involving farmers in the e-wallet programme in Nigeria. Journal of Crop Improvement, 32(5), 717–737.
Uduji, J. I., & Okolo-Obasi, E. N. (2018b). Young rural women’s participation in the e-wallet programme and usage intensity of modern agricultural inputs in Nigeria. Gender, Technology and Development, 22(1), 59–81.
Van der Boor, P., Oliveira, P., & Veloso, F. (2014). Users as innovators in developing countries: The global sources of innovation and diffusion in mobile banking services. Research Policy, 43(9), 1594–1607.
Waverman, L., & Koutroumpis, P. (2011). Benchmarking telecoms regulation – The telecoms regulatory governance index (TRGI). Telecommunications Policy, 35(5), 450–468.
Wichers, C. R. (1975). The detection of multicollinearity: A comment. The Review of Economics and Statistics, 57(3), 366–368.
World Bank. (2016). Worldwide governance indicators. Retrieved April 02, 2020, from http://data.worldbank.org/data-catalog/worldwide-governance-indicators
Acknowledgements
The authors are thankful to Addisu A. Lashitew, Robvan Tulder, and Yann Liasse for sharing their dataset.
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Appendix
Appendix
Appendix 1 Definitions and sources of variables
Variables | Descriptions | Sources |
---|---|---|
Dependent variables | ||
Mobile accounts | Percentage of adults who have personally used mobile phone to pay bills, send or receive money in the past 12 months using a GSMA recognized mobile money service | Financial Inclusion Indices (Findex) database |
Sending money | Percentage of adults who used a mobile phone to send money in the past 12 months | |
Receiving money | Percentage of adults who used a mobile phone to receive money in the past 12 months | |
Demand factors | ||
Account at formal financial institution | Percentage of adults who have an account at a formal financial institution | Global Financial Structure Database (GFSD) |
ATM access | Number of ATMs per 100,000 people | |
Banking sector concentration | The percentage share of the three largest commercial banks in total banking assets | |
Supply factors | ||
Mobile phone penetration — gross and unique subscription rates | Gross mobile subscription rates refer to the percentage of adults in a country with subscriptions to mobile phones based on data from WDI. We used additional data from GSMA (2018) to calculate unique mobile subscription rates by correcting for double SIM card ownership, which differs between rural and urban areas. This correction is based on survey evidence that urban and rural users own 2.03 and 1.18 active SIM cards, respectively | World Development Indicators (WDI), GSMA |
Mobile connectivity quality | Measures the average speed of uploading and downloading data through mobile network in 2014 and 2015 | GSMA |
Mobile connectivity coverage | Measures the weighted average of share of populations covered by 2G, 3G, and 4G mobile data networks (normalized to range between 0 and 100) | GSMA |
Telecom regulation | Measures the regulatory quality of the telecom sector in terms of four major criteria: transparency, independence, resource availability, and enforcement capability of the regulator. The index is based on dozens of indicators taken from the International Telecommunication Union’s regulatory database | Waverman and Koutroumpis (2011) |
Macro-level factors | ||
Rule of law | A measure of the extent to which agents have confidence in and abide by the rules of society | WDI |
GDP per capita | GDP per capita in purchasing power parity | WDI |
GDP growth | The rate of total GDP growth | WDI |
Urbanization rate | Percentage of population living in urban areas | WDI |
Appendix 2 Summary Statistics
Variables | Mean | S.D | Min | Max | Obs |
---|---|---|---|---|---|
Dependent variables | |||||
Mobile accounts (%) | 3.30 | 7.90 | 0.00 | 58.39 | 145 |
Sending money (%) | 3.10 | 7.58 | 0.00 | 60.48 | 146 |
Demand factors | |||||
Account at formal fin. institution (%) | 45.72 | 31.73 | 0.40 | 99.74 | 147 |
ATM penetration | 43.28 | 45.03 | 0.33 | 279.71 | 148 |
Banking sector concentration | 71.94 | 20.70 | 9.49 | 100.00 | 143 |
Supply factors | |||||
Unique mobile subscription rate | 61.73 | 23.29 | 4.23 | 133.64 | 199 |
Mobile connectivity (performance) | 11.92 | 14.69 | 0.04 | 67.19 | 147 |
Mobile connectivity (coverage) | 62.18 | 27.29 | 8.88 | 99.60 | 147 |
Telecom regulation | 0.41 | 0.17 | 0.00 | 0.74 | 128 |
Macro-level factors | |||||
GDP per capita (log) | 9.161 | 1.226 | 6.473 | 11.794 | 192 |
GDP growth | 3.90 | 2.82 | − 4.92 | 11.10 | 153 |
Rule of law | − 0.09 | 1.01 | − 2.42 | 1.98 | 157 |
Urbanization (%) | 58.22 | 22.85 | 8.81 | 100 | 155 |
Appendix 3 Correlation Matrix
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Asongu, S.A., Salahodjaev, R. Demand-Side Mobile Money Drivers of Financial Inclusion: Minimum Economic Growth Thresholds for Mobile Money Innovations. J Knowl Econ 14, 4848–4865 (2023). https://doi.org/10.1007/s13132-022-01042-6
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DOI: https://doi.org/10.1007/s13132-022-01042-6