Causality Study on Financial Inclusion Issues with Data Science Techniques: The Mexican Case

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The Anáhuac Journal
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Published: Jun 26, 2024
DOI: https://doi.org/10.36105/theanahuacjour.2024v24n1.09
Keywords:
financial inclusion, artificial intelligence, machine learning

Main Article Content

Itzel Coquis Rioja
EGADE Business School, Tecnológico de Monterrey, Mexico
https://orcid.org/0000-0001-6284-8320
Mario Iván Contreras Valdez
Tecnológico de Monterrey, Mexico

Abstract

The current article explores the causes of financial inclusion among the Mexican population. It leverages data from the Encuesta Nacional de Inclusión Financiera (ENIF) (INEGI, 2021) to develop two machine learning models aimed at identifying individuals who are part of the financial system. These models are assessed using both artificial intelligence methodologies and traditional statistical significance tests. The findings suggest that factors such as education level, monthly income, future-oriented behavioral preferences over present ones, saving capacity, and access to smartphones are significant drivers that enhance the likelihood of financial  inclusion. Consequently, there is a potential for implementing public policies to incentivize individuals to voluntarily adopt formal financial services.

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How to Cite
Coquis Rioja, I., & Contreras Valdez, M. I. (2024). Causality Study on Financial Inclusion Issues with Data Science Techniques: The Mexican Case. The Anáhuac Journal, 24(1), Págs. 246–271. https://doi.org/10.36105/theanahuacjour.2024v24n1.09
Issue
Vol. 24 No. 1 (2024): The Anáhuac Journal, Vol. 24, num. 1, 2024, First Semester
Section
Artículos
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This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

This work is licensed under a Creative Commons Atribución-NoComercial-CompartirIgual 4.0 Internacional.

 

Author Biographies

Itzel Coquis Rioja, EGADE Business School, Tecnológico de Monterrey, Mexico

Itzel Coquis Rioja graduated from Tecnológico de Monterrey (ITESM) Campus Mexico City with a degree in Business Administration and holds a Master’s in Energy Administration and Renewable Resources. She is currently a doctoral student in Financial Sciences. After completing her studies, she began her professional career at Coca-Cola Femsa, in Human Resources, in 2011. She worked in the area of market intelligence at Millward Brown as an Account Coordinator. Years later, she returned to ITESM with the goal of pursuing a postgraduate degree. Today she is the Bachelor Director of Marketing at Tecnológico de Monterrey Campus Mexico City. Since 2017 she has been a professor at the Business School. Students acknowledge her balanced vision of the business world, as well as the care she takes in the professional and personal development of students.

Mario Iván Contreras Valdez, Tecnológico de Monterrey, Mexico

Mario Iván Contreras Valdez studied for a bachelor’s degree in economics and finance at Tecnológico de Monterrey (ITESM) and graduated with honors. Subsequently, he entered EGADE Business School to study for a Ph.D. in Finance, where he obtained recognition for an outstanding thesis. He is currently the Bachelor Director of Finance at Tecnológico de Monterrey Campus Mexico City. Additionally, he is a consultant to firms on topics of M&A and Risk Management. His research areas include cryptocurrencies, quantitative finance, and risk management.

References

Arora, R. U. (2014). Access to finance: An empirical analysis. The European Journal of Development Research, 26(5), 798–814. https://doi.org/10.1057/ejdr.2013.50 DOI: https://doi.org/10.1057/ejdr.2013.50

Beck, T., Demirguc-Kunt A., & Martinez Peria, M. S. (2007). Reaching out: Access to and use of banking services across countries. Journal of Financial Economics, 85(1), 234–266. https://doi.org/10.1016/j.jfineco.2006.07.002 DOI: https://doi.org/10.1016/j.jfineco.2006.07.002

Berkson, J. (1944). Application of the Logistic Function to Bio-Assay. Journal of the American Statistical Association, 39(227). https://doi.org/10.2307/2280041 DOI: https://doi.org/10.2307/2280041

Bruhn, M. & Love, I. (2014). The real impact of improved access to finance: Evidence from Mexico. The Journal of Finance, 69(3), 1347–1376. https://doi.org/10.1111/jofi.12091 DOI: https://doi.org/10.1111/jofi.12091

Community Reinvestment Act (1977). Federal Reserve.

Conroy, J. (2005). APEC and financial exclusion: missed opportunities for collective action? Asia Pacific Development Journal, 12(1), 53–79. DOI: https://doi.org/10.18356/339ee7fc-en

Cruz-García, P., Dircio-Palacios Macedo, M. del C. & Tortosa-Aucina, E. (2020). Financial inclusion and exclusion across Mexican municipalities. Regional Science Policy & Practice, 13(5), 1496–1526. https://doi.org/10.1111/rsp3.12388 DOI: https://doi.org/10.1111/rsp3.12388

De la Cruz Gallegos, J. L. & Alcántara Lizárraga, J.A. (2011). Crecimiento económico y el crédito bancario: un análisis de causalidad para México. Revista de Economía, 28(77), 9–38. DOI: https://doi.org/10.33937/reveco.2011.25

Dircio-Palacios Macedo, M. del C., Cruz-García, P., Hernández-Trillo, F. & Tortosa-Ausina, E. (2023). Constructing a financial inclusion index for Mexican municipalities. Finance Research Letters, 52(C), article 103368. https://doi.org/10.1016/j.frl.2022.103368 DOI: https://doi.org/10.1016/j.frl.2022.103368

Demirguc-Kunt, A. & Klapper, L. (2012). Measuring financial inclusion: The global findex database (No. 6025). The World Bank. DOI: https://doi.org/10.1596/1813-9450-6025

James, G., Witten, D., Hastie, T. & Tibshirani, R. (2017). An Introduction to Statistical Learning with Application in R. Springer.

Jamil, A. R. M., Law, S.H., Khair-Afham, M.S. & Trinugroho, I. (2024). Financial inclusion and income inequality in developing countries: The role of aging populations. Research in International Business and Finance, 67(PA). https://doi.org/10.1016/j.ribaf.2023.1 DOI: https://doi.org/10.1016/j.ribaf.2023.102110

Gujarati, D. & Porter, D. (2009). Basic Econometrics. McGraw-Hill Series Economics.

Huong Tram, Thi Xuan, Lai, Tien Dinh, Huong Nguyen, Thi Truc. (2023). Constructing a composite financial inclusion index for developing economies. The Quarterly Review of Economics and Finance, 87 (257–265). https://doi.org/10.1016/j.qref.2021.01.003

Instituto Nacional de Estadística Geografía e Informática (INEGI). (2021). Encuesta Nacional de Inclusión Financiera (ENIF) 2021.

Johnson, S. & Arnold, S. (2014) Inclusive financial markets: is transformation under way in Kenya? Development Policy Review, 32 (5), 639–642. https://doi.org/10.1111/j.1467-7679.2012.00596.x DOI: https://doi.org/10.1111/j.1467-7679.2012.00596.x

King, R. G. & Levine, R. (1993) Finance and growth: Schumpeter might be right. The Quarterly Journal of Economics, 108(3), 713–737. https://doi.org/10.2307/2118406 DOI: https://doi.org/10.2307/2118406

Leyshon, A. & Thrift, N. (1995). Geographies of financial exclusion: financial abandonment in Britain and the United States. Transactions of the Institute of British Geographers, New Series 20(3), 312–341. https://doi.org/10.2307/622654 DOI: https://doi.org/10.2307/622654

Marín, A. G. & Schwabe, R. (2018). Bank competition and financial inclusion: Evidence from Mexico. Review of Industrial Organization, 55(2), 257–285. https://doi.org/10.1007/s11151-018-9673-5 DOI: https://doi.org/10.1007/s11151-018-9673-5

Mohan, R. (2006). Economic growth, financial deepening, and financial inclusion. Address at the Annual Bankers’ Conference 2006, Hyderabad on November 3, 2006. http://rbidocs.rbi.org.in/rdocs/Speeches/PDFs/73697.pdf

Rangarajan Committee. (2008). Report of the Committee on Financial Inclusion. Government of India.

Sarma, M. (2015). Measuring Financial Inclusion. Economic Bulletin. 35(1), 604–611.

Schuetz, S. & Venkatesh, V. (2020). Blockchain, adoption, and financial inclusion in India: Research opportunities. International Journal of Information Management, 52. https://doi.org/10.1016/j.ijinfomgt.2019.04.009 DOI: https://doi.org/10.1016/j.ijinfomgt.2019.04.009

Schumpeter, J. (1911). The theory of economic development. Harvard University Press.

Segovia, M. A. F. & Cepeda, L. E. T. (2024). Financial development and economic growth: New evidence from Mexican States. Regional Science Policy & Practice, article 100028. https://doi.org/10.1016/j.rspp.2024.100028 DOI: https://doi.org/10.1016/j.rspp.2024.100028

Sun, T. & Wang, X. (2023). Adoption of financial inclusion in a world of depleting natural resources: the importance of information and communication technology in emerging economies. Resources Policy, 85. https://doi.org/10.1016/j.resourpol.2023.103901 DOI: https://doi.org/10.1016/j.resourpol.2023.103901

Tram, T. X. H., Lai, T. D. & Nguyen, T. T. H. (2023). Constructing a composite financial inclusion index for developing economies. Quarterly Review of Economics and Finance, 87, 257–265. https://doi.org/10.1016/j.qref.2021.01.003 DOI: https://doi.org/10.1016/j.qref.2021.01.003

Varian, Hal R. (1992). Microeconomic Analysis. Norton.

WallStreetZen. (2023). Where Did Gen Z Learn About Money. https://www.wallstreetzen.com/blog/genz-money-social-media-survey/

Xi, W. & Wang, Y. (2023). Digital financial inclusion and quality of economic growth. Heliyon, 9. https://doi.org/10.1016/j.heliyon.2023.e19731 DOI: https://doi.org/10.1016/j.heliyon.2023.e19731

Yue, P., Korkmaz, A.G., Yin, Z. & Zhou, H. (2022). The rise of digital finance: financial inclusion or debt trap? Finance Research Letters, 47(A). https://doi.org/10.1016/j.frl.2021.102604 DOI: https://doi.org/10.1016/j.frl.2021.102604