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On the accessibility of financial services and income inequality: an international perspective

    Yifei Fu Affiliation
    ; Lu Liu Affiliation

Abstract

Income inequality has long been an important issue in development economics. Applying international data from 119 countries between 2004 and 2018, this study discusses the relationship between the accessibility of financial services and income inequality. Using the density of the bank branch network to represent the accessibility of financial services, we discover that income inequality is negatively related to the accessibility of financial services, especially in less developed countries and regions. In this nexus, the poverty ratio serves as an intermediary variable. The significance of the nexus is weaker in countries where fintech is more popularized, indicating the substitution effect between fintech and traditional banking services. Nevertheless, the substitution effect is limited, and bank branches will keep playing an important role in delivering financial services. For countries with inadequate banking services, bank branches should be increased to encourage residents to participate in the financial system, while it is no longer necessary to add a large number of branches in countries where fintech has been popularized. Faced with the trend of financial digitalization and the economic shock caused by the COVID-19 pandemic, banks should launch more online services and increase intelligent machines in the branches. By doing so, financial services are more resilient to social changes, so as to alleviate the inequality of income distribution in the long term.

Keyword : financial services, income inequality, bank branches, fintech, inclusive finance, COVID-19

How to Cite
Fu, Y., & Liu, L. (2023). On the accessibility of financial services and income inequality: an international perspective. Technological and Economic Development of Economy, 29(3), 814–845. https://doi.org/10.3846/tede.2023.18722
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Apr 12, 2023
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This work is licensed under a Creative Commons Attribution 4.0 International License.

References

Addai, B., Tang, W., Twumasi, M. A., Asante, D., & Agyeman, A. S. (2022). Access to financial services and lighting energy consumption: Empirical evidence from rural Ghana. Energy, 253, 124109. https://doi.org/10.1016/j.energy.2022.124109

Ahmadalipour, A., Moradkhani, H., & Castelletti, A., & Magliocca, N. (2019). Future drought risk in Africa: Integrating vulnerability, climate change, and population growth. Science of The Total Environment, 662, 672–686. https://doi.org/10.1016/j.scitotenv.2019.01.278

Alcorn, C. (2020). US billionaires’ fortunes have skyrocketed $845 billion since March. CNN Business. https://edition.cnn.com/2020/09/17/business/us-billionaire-wealth-increase-pandemic/index.html

Aluko, O. A., & Ajayi, M. A. (2018). Determinants of banking sector development: Evidence from Sub-Saharan African countries. Borsa Istanbul Review, 18(2), 122–139. https://doi.org/10.1016/j.bir.2017.11.002

Ashraf, N., Karlan, D., & Yin, W. (2010). Female empowerment: Impact of a commitment savings product in the Philippines. World Development, 38(3), 333–344. https://doi.org/10.1016/j.worlddev.2009.05.010

Attanasio, O., Augsburg, B., De Haas, R., Fitzsimons, E., & Harmgart, H. (2011). Group lending or individual lending? Evidence from a randomised field experiment in Mongolia. MPRA Paper 35439. University Library of Munich, Germany. https://mpra.ub.uni-muenchen.de/35439/1/MPRA_paper_35439.pdf

Avram, S., & Popova, D. (2022). Do taxes and transfers reduce gender income inequality? Evidence from eight European welfare states. Social Science Research, 102, 102644. https://doi.org/10.1016/j.ssresearch.2021.102644

Banerjee, A. V., & Newman, A. F. (1993). Occupational choice and the process of development. Journal of Political Economy, 101(2), 274–298. https://doi.org/10.1086/261876

Banerjee, A. V., Bardhan, P., Duflo, E., Field, E., Karlan, D., Khwaja, A., Mookherjee, D., Pande, R., & Rajan, R. (2010, December 12). Microcredit is not the enemy. Financial Times. https://www.hks.harvard.edu/publications/microcredit-not-enemy

Banna, H., Hassan, M. K., & Rashid, M. (2021). Fintech-based financial inclusion and bank risk-taking: Evidence from OIC countries. Journal of International Financial Markets, Institutions and Money, 75, 101447. https://doi.org/10.1016/j.intfin.2021.101447

Baron, R. M., & Kenny, D. A. (1986). The moderator-mediator variable distinction in social psychological research: Conceptual, strategic, and statistical considerations. Journal of Personality and Social Psychology, 51(6), 1173–1182. https://doi.org/10.1037/0022-3514.51.6.1173

Beck, T., Demirgü-Kunt, A., & Levine, R. (2007). Finance, inequality and the poor. Journal of Economic Growth, 12(1), 27–49. https://doi.org/10.1007/s10887-007-9010-6

Behzadan, N., & Chisik, R. (2022). Income inequality, international trade and firm location. Economics Letters, 214, 110442. https://doi.org/10.1016/j.econlet.2022.110442

Bellardini, L., Del Gaudio, B. L., Previtali, D., & Verdoliva, V. (2022). How do banks invest in fintechs? Evidence from advanced economies. Journal of International Financial Markets, Institutions and Money, 77, 101498. https://doi.org/10.1016/j.intfin.2021.101498

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

Carpa, N., & Martínez-Zarzoso, I. (2022). The impact of global value chain participation on income inequality. International Economics, 169, 269–290. https://doi.org/10.1016/j.inteco.2022.02.002

Chen, B., Zhang, P., & Yang, R. (2010). Government investment in education, human capital investment and the urban-rural income gap in China. Management World, 2010(01), 36–43. https://doi.org/10.19744/j.cnki.11-1235/f.2010.01.006

Chen, X., You, X., & Chang, V. (2021). FinTech and commercial banks’ performance in China: A leap forward or survival of the fittest? Technological Forecasting and Social Change, 166, 120645. https://doi.org/10.1016/j.techfore.2021.120645

Cheng, M., & Qu, Y. (2020). Does bank FinTech reduce credit risk? Evidence from China. Pacific-Basin Finance Journal, 63, 101398. https://doi.org/10.1016/j.pacfin.2020.101398

Chiu, Y.-B., & Lee, C.-C. (2019). Financial development, income inequality, and country risk. Journal of International Money and Finance, 93, 1–18. https://doi.org/10.1016/j.jimonfin.2019.01.001

Cho, T.-Y., & Chen, Y.-S. (2021). The impact of financial technology on China’s banking industry: An application of the metafrontier cost Malmquist productivity index. The North American Journal of Economics and Finance, 57, 101414. https://doi.org/10.1016/j.najef.2021.101414

Choe, J. (2008). Income inequality and crime in the United States. Economics Letters, 101(1), 31–33. https://doi.org/10.1016/j.econlet.2008.03.025

Compaoré, A. (2022). Access-for-all to financial services: Non-resources tax revenue-harnessing opportunities in developing countries. The Quarterly Review of Economics and Finance, 85, 236–245. https://doi.org/10.1016/j.qref.2022.03.007

Contreras, S., Ghosh, A., & Hasan, I. (2023). The effect of bank failures on small business loans and income inequality. Journal of Banking & Finance, 146, 106690. https://doi.org/10.1016/j.jbankfin.2022.106690

Coulibaly, A., & Yogo, U. T. (2020). The path to shared prosperity: Leveraging financial services outreach to create decent jobs in developing countries. Economic Modelling, 87, 131–147. https://doi.org/10.1016/j.econmod.2019.07.013

Dabla-Norris, E., Ji, Y., Townsend, R., & Unsal, F. D. (2015). Identifying constraints to financial inclusion and their impact on GDP and inequality: A structural framework for Policy (IMF Working Papers). International Monetary Fund. https://www.imf.org/en/Publications/WP/Issues/2016/12/31/Identifying-Constraints-to-Financial-Inclusion-and-Their-Impact-on-GDP-and-Inequality-A-42649

De Gregorio, J. (1996). Borrowing constraints, human capital accumulation, and growth. Journal of Monetary Economics, 37(1), 49–71. https://doi.org/10.1016/0304-3932(95)01234-6

Demirguc-Kunt, A., Klapper, L., Singer, D., & Van Oudheusden, P. (2015). The Global Findex database 2014: Measuring financial inclusion around the World (Policy Research Working Papers). World Bank Group. https://doi.org/10.1596/1813-9450-7255

Dewan, P., Rørth, R., Jhund, P. S., Ferreira, J. P., Zannad, F., Shen, L., Køber, L., Abraham, W. T., Desai, A. S., Dickstein, K., Packer, M., Rouleau, J. L., Solomon, S. D., Swedberg, K., Zile, M. R., &

McMurray, J. J. V. (2019). Income inequality and outcomes in heart failure: A global between-country analysis. JACC: Heart Failure, 7(4), 336–346. https://doi.org/10.1016/j.jchf.2018.11.005

Dollar, D., & Kraay, A. (2002). Growth is good for the poor. Journal of Economic Growth, 7(3), 195–225. https://doi.org/10.1023/A:1020139631000

Enamorado, T., López-Calva, L. F., Rodríguez-Castelán, C., & Winkler, H. (2016). Income inequality and violent crime: Evidence from Mexico’s drug war. Journal of Development Economics, 120, 128–143. https://doi.org/10.1016/j.jdeveco.2015.12.004

Ergungor, O., & Moulton, S. (2014). Beyond the transaction: Banks and mortgage default of low‐income homebuyers. Journal of Money, Credit, and Banking, 46(8), 1721–1752. https://doi.org/10.1111/jmcb.12164

Fareed, F., Gabriel, M., Lenain, P., & Reynaud, J. (2017). Financial inclusion and women entrepreneurship: Evidence from Mexico. Documents de travail du Département des Affaires économiques de l’OCDE. https://doi.org/10.1787/18151973

Fatmawati, Khan, M. A., Azizah, M., Windarto, & Ullah, S. (2019). A fractional model for the dynamics of competition between commercial and rural banks in Indonesia. Chaos, Solitons & Fractals, 122, 32–46. https://doi.org/10.1016/j.chaos.2019.02.009

Fu, J., & Mishra, M. (2022). Fintech in the time of COVID-19: Technological adoption during crises. Journal of Financial Intermediation, 50, 100945. https://doi.org/10.1016/j.jfi.2021.100945

Galor, O., & Zeira, J. (1993). Income distribution and macroeconomics. The Review of Economic Studies, 60(1), 35–52. https://doi.org/10.2307/2297811

Gan, L. (2020, April 10). L. Gan: Suggest releasing CNY 750 billion in cash subsidies, CNY 2,300 for each household. Sina News (in Chinese). https://tech.sina.com.cn/roll/2020-04-10/doc-iirczymi5490997.shtml

Goldberg, P. K., & Pavcnik, N. (2007). Distributional effects of globalization in developing countries. Journal of Economic Literature, 45(1), 39–82. https://doi.org/10.1257/jel.45.1.39

Hanson, G. H., & Harrison, A. (1999). Trade liberalization and wage inequality in Mexico. Industrial and Labour Relations Review, 52(2), 271–288. https://doi.org/10.2307/2525166

Higgs, G., Price, A., & Langford, M. (2022). Investigating the impact of bank branch closures on access to financial services in the early stages of the COVID-19 pandemic. Journal of Rural Studies, 95, 1–14. https://doi.org/10.1016/j.jrurstud.2022.07.012

Hu, Z. (2021). The effect of income inequality on human capital inequality: Evidence from China. Structural Change and Economic Dynamics, 58, 471–489. https://doi.org/10.1016/j.strueco.2021.06.015

Huang, K., Yan, W., Sim, N., Guo, Y., & Xie, F. (2022). Can trade explain the rising trends in income inequality? Insights from 40 years of empirical studies. Economic Modelling, 107, 105725. https://doi.org/10.1016/j.econmod.2021.105725

Hwang, S., Choe, C., & Choi, K. (2021). Population ageing and income inequality. The Journal of the Economics of Ageing, 20, 100345. https://doi.org/10.1016/j.jeoa.2021.100345

Jalilian, H., & Kirkpatrick, C. (2002). Financial development and poverty reduction in developing countries. International Journal of Finance & Economics, 7(2), 97–108. https://doi.org/10.1002/ijfe.179

Jaumotte, F., Lall, S., & Papageorgiou, C. (2013). Rising income inequality: Technology, or trade and financial globalization? IMF Economic Review, 61, 271–309. https://doi.org/10.1057/imfer.2013.7

Kábrt, T., & Brůna, K. (2022). Asymmetric effects of foreign capital on income inequality: The case of the Post-China 16 countries. Economic Analysis and Policy, 76, 613–626. https://doi.org/10.1016/j.eap.2022.08.025

Karlan, D. S., & Zinman, J. (2010). Expanding credit access: Using randomized supply decisions to estimate the impacts. The Review of Financial Studies, 23(1), 433–464. https://doi.org/10.1093/rfs/hhp092

Kiendrebeogo, Y., & Minea, A. (2013). Accès aux services financiers et réduction de la pauvreté dans les PED. Revue Économique, 64(3), 483–493. https://doi.org/10.3917/reco.643.0483

Kim, D.-H., & Lin, S.-C. (2011). Nonlinearity in the financial development–income inequality nexus. Journal of Comparative Economics, 39(3), 310–325. https://doi.org/10.1016/j.jce.2011.07.002

Kotschy, R. (2022). Health improvements impact income inequality. The Journal of the Economics of Ageing, 22, 100385. https://doi.org/10.1016/j.jeoa.2022.100385

Krause, M. (2015). Institutional quality index 2015. Red Liberal de America Latina. https://www.stephenhicks.org/wp-content/uploads/2015/07/KrauseM-ICI-2015EN-_21.pdf

Kreiss, K. (2021, December 17). Bank Branches and COVID-19: Where are Banks Closing Branches during the Pandemic? FEDS Notes. Board of Governors of the Federal Reserve System. https://doi.org/10.17016/2380-7172.3027

Kuznets, S. S. (1955). Economic growth and income inequality. American Economic Review, 45(1), 1–28. https://assets.aeaweb.org/asset-server/journals/aer/top20/45.1.1-28.pdf

Lee, C.-C., Li, X., Yu, C.-H., & Zhao, J. (2021). Does fintech innovation improve bank efficiency? Evidence from China’s banking industry. International Review of Economics & Finance, 74, 468–483. https://doi.org/10.1016/j.iref.2021.03.009

Lee, C.-C., Wang, C.-W., & Ho., S.-J. (2020). Financial inclusion, financial innovation, and firms’ sales growth. International Review of Economics & Finance, 66, 189–205. https://doi.org/10.1016/j.iref.2019.11.021

Lee, C.-C., Wang, C.-W., & Ho, S.-J. (2022a). Financial aid and financial inclusion: Does risk uncertainty matter? Pacific-Basin Finance Journal, 71, 101700. https://doi.org/10.1016/j.pacfin.2021.101700

Lee, C.-C., Wang, C.-W., & Pan, C.-M. (2022b). Do financial inclusion and R&D matter? Exploring the effect of uncertainty on economic performance. Applied Economics, 54(3), 307–325. https://doi.org/10.1080/00036846.2021.1950909

Lee, C.-C., Wang, F., & Lou, R. (2022c). Digital financial inclusion and carbon neutrality: Evidence from non-linear analysis. Resources Policy, 79, 102974. https://doi.org/10.1016/j.resourpol.2022.102974

Lee, C.-C., Xing, W., & Lee, C.-C. (2022d). The impact of energy security on income inequality: The key role of economic development. Energy, 248, 123564. https://doi.org/10.1016/j.energy.2022.123564

Lee, C.-C., Yuan, Z., & Ho, S.-J. (2022e). How does export diversification affect income inequality? International evidence. Structural Change and Economic Dynamics, 63, 410–421. https://doi.org/10.1016/j.strueco.2022.06.010

Li, C., He, S., Tian, Y., Sun, S., & Ning, L. (2022). Does the bank’s FinTech innovation reduce its risk-taking? Evidence from China’s banking industry. Journal of Innovation & Knowledge, 7(3), 100219. https://doi.org/10.1016/j.jik.2022.100219

Liu, L. (2023). Mortgage loan and housing market. International Review of Economics & Finance, 83, 736–749. https://doi.org/10.1016/j.iref.2022.10.012

Liu, L., Huang, J., & Li, H. (2022). Estimating the real shock to the economy from COVID-19: The example of electricity use in China. Technological and Economic Development of Economy, 28(5), 1221–1241. https://doi.org/10.3846/tede.2022.17027

Mehrotra, A. N., & Yetman, J. (2015). Financial inclusion – issues for central banks. BIS Quarterly Review, 83–96. https://www.bis.org/publ/qtrpdf/r_qt1503h.pdf

Mehta, A., & Hasan, R. (2012). The effects of trade and services liberalization on wage inequality in India. International Review of Economics & Finance, 23, 75–90. https://doi.org/10.1016/j.iref.2011.10.007

Mookerjee, R., & Kalipioni, P. (2010). Availability of financial services and income inequality: The evidence from many countries. Emerging Markets Review, 11(4), 404–408. https://doi.org/10.1016/j.ememar.2010.07.001

Morgan, D. P., Pinkovskiy, M. L., & Yang, B. (2016). Banking deserts, branch closings and soft information. Federal Reserve Bank of New York. https://libertystreeteconomics.newyorkfed.org/2016/03/banking-deserts-branch-closings-and-soft-information/

Murinde, V., Rizopoulos, E., & Zachariadis, M. (2022). The impact of the FinTech revolution on the future of banking: Opportunities and risks. International Review of Financial Analysis, 81, 102103. https://doi.org/10.1016/j.irfa.2022.102103

Ndichu, D. (2021, February 21). Revealed: Impact of Covid-19 on GCC retail banks revenues. Gulf Business. https://gulfbusiness.com/revealed-impact-of-covid-19-on-gcc-retail-banks-revenues/

Nguyen, H.-L. Q. (2019). Are credit markets still local? Evidence from bank branch closings. American Economic Journal: Applied Economics, 11(1), 1–32. https://doi.org/10.1257/app.20170543

People’s Bank of China. (2018). Analysis Report of inclusive financial indicators in China (in Chinese). http://www.gov.cn/xinwen/2018-08/13/content_5313588.htm

Popov, V. (2022). Why Europe looks so much like China: Big government and low income inequalities. Asia and the Global Economy, 2(1), 100024. https://doi.org/10.1016/j.aglobe.2022.100024

Ramos, R. G., & Melo, S. N. (2022). Income inequality and the geography of residential burglaries: A spatial model applied to Campinas, Brazil. Applied Geography, 147, 102787. https://doi.org/10.1016/j.apgeog.2022.102787

Sahay, R., Cihak, M., & N’Diaye, P. M., Barajas, A., Mitra, S., Kyobe, A. J., Mooi, Y. N., & Yousefi, R. (2015). Financial inclusion: Can it meet multiple macroeconomic goals? Staff Discussion Notes. International Monetary Fund. https://www.imf.org/en/Publications/Staff-Discussion-Notes/Issues/2016/12/31/Financial-Inclusion-Can-it-Meet-Multiple-Macroeconomic-Goals-43163

Saxena, R., & Punekar, R. M. (2020). Designing pro-poor mobile financial services: Learning from the financial diaries of urban poor in India. World Development Perspectives, 20, 100266. https://doi.org/10.1016/j.wdp.2020.100266

Sen, A. (1999). The possibility of social choice. American Economic Review, 89(3), 349–378. https://doi.org/10.1257/aer.89.3.349

Sethi, P., Bhattacharjee, S., Chakrabarti, D., & Tiwari, C. (2021). The impact of globalization and financial development on India’s income inequality. Journal of Policy Modeling, 43(3), 639–656. https://doi.org/10.1016/j.jpolmod.2021.01.002

Shahpari, G., & Davoudi, P. (2014). Studying effects of human capital on income inequality in Iran. Procedia – Social and Behavioral Sciences, 109, 1386–1389. https://doi.org/10.1016/j.sbspro.2013.12.641

Solt, F. (2020). Measuring income inequality across countries and over time: The standardized world income inequality database. Social Science Quarterly, 101(3), 1183–1199. https://doi.org/10.1111/ssqu.12795

Song, X. (2017). Empirical analysis of digital inclusive finance bridging the urban-rural residents’ income gap. Finance & Economics, 2017(06), 14–25. https://www.en.cnki.com.cn/Article_en/CJFDTotal-CJKX201706003.htm

Song, Y., Paramati, S. R., & Ummalla, M., Zakari, A., & Kummitha, H. R. (2021). The effect of remittances and FDI inflows on income distribution in developing economies. Economic Analysis and Policy, 72, 255–267. https://doi.org/10.1016/j.eap.2021.08.011

Wan, G., Wang, C., Wang, J., & Zhang, X. (2022). The income inequality-CO2 emissions nexus: Transmission mechanisms. Ecological Economics, 195, 107360. https://doi.org/10.1016/j.ecolecon.2022.107360

Wang, Q., & Liu, L. (2022). Pandemic or panic? A firm-level study on the psychological and industrial impacts of COVID-19 on the Chinese stock market. Financial Innovation, 8(1), 36. https://doi.org/10.1186/s40854-022-00335-8

Wasiaturrahma, Sukmana, R., Ajija, S. R., Salama, S. C. U., & Hudaifah, A. (2020). Financial performance of rural banks in Indonesia: A two-stage DEA approach. Heliyon, 6(7), e04390. https://doi.org/10.1016/j.heliyon.2020.e04390

World Bank. (2017). Global Findex Database 2017. https://globalfindex.worldbank.org/

World Wealth and Income Database. (2022). Income inequality in USA, 1913–2021. https://wid.world/country/usa/

Yang, W., Sui., X., & Qi, Z. (2021). Can fintech improve the efficiency of commercial banks? – An analysis based on big data. Research in International Business and Finance, 55, 101338. https://doi.org/10.1016/j.ribaf.2020.101338

Zhan, P., Ma, X., & Li, S. (2021). Migration, population aging, and income inequality in China. Journal of Asian Economics, 76, 101351. https://doi.org/10.1016/j.asieco.2021.101351

Zhang, L., & Zhan, Y. (2006). The analysis and test of three major effects of financial development on the urban-rural income disparity. The Journal of Quantitative & Technical Economics, 2006(12), 73–81. https://doi.org/10.16538/j.cnki.jsufe.2006.05.012

Zhang, Q., & Posso, A. (2019). Thinking inside the box: A closer look at financial inclusion and household income. The Journal of Development Studies, 55(7), 1616–1631. https://doi.org/10.1080/00220388.2017.1380798

Zhang, Y., Fu, D., & Xiang, P. (2020). Financial openness and income inequality: An inverted-U shape relationship. Journal of Capital University of Economics and Business, 22(6), 59–82. https://doi.org/10.13504/j.cnki.issn1008-2700.2020.06.005

Zhao, J., Li, X., Yu, C.-H., Chen, S., & Lee, C.-C. (2022). Riding the FinTech innovation wave: FinTech, patents and bank performance. Journal of International Money and Finance, 122, 102552. https://doi.org/10.1016/j.jimonfin.2021.102552

Zhou, J., & Zhao, W. (2019). Contributions of education to inequality of opportunity in income: A counterfactual estimation with data from China. Research in Social Stratification and Mobility, 59, 60–70. https://doi.org/10.1016/j.rssm.2018.11.005