Skip to main content

Advertisement

Log in

Effect of Financial Inclusion on Poverty and Vulnerability to Poverty: Evidence Using a Multidimensional Measure of Financial Inclusion

  • Original Research
  • Published:
Social Indicators Research Aims and scope Submit manuscript

Abstract

This study examines the effect of financial inclusion on poverty and vulnerability to poverty of Ghanaian households. Using data extracted from the seventh round of the Ghana Living Standards Survey in 2016/17, a multiple correspondence analysis is employed to generate a financial inclusion index, and three-stage feasible least squares is used to estimate households’ vulnerability to poverty. Endogeneity associated with financial inclusion is resolved using distance to the nearest bank as an instrument in an instrumental variables probit technique. Results showed that while 23.4% of Ghanaians are considered poor, about 51% are vulnerable to poverty. We found that an increase in financial inclusion has two effects on household poverty. First, it is associated with a decline in a household’s likelihood of being poor by 27%. Second, it prevents a household’s exposure to future poverty by 28%. Female-headed households have a greater chance of experiencing a larger reduction in poverty and vulnerability to poverty through enhanced financial inclusion than do male-headed households. Furthermore, financial inclusion reduces poverty and vulnerability to poverty more in rural than in urban areas. Governments are encouraged to design or enhance policies that provide an enabling environment for the private sector to innovate and expand financial services to more distant places. Government investment in, and regulation of, the mobile money industry will be a necessary step to enhancing financial inclusion in developing countries.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1

Source: Authors’ Construct

Fig. 2

Source: Authors’ generated estimates from the GLSS7

Similar content being viewed by others

References

  • Abdi, H., & Valentin, D. (2007). Multiple correspondence analysis. Encyclopedia of Measurement and Statistics,2, 651–657.

    Google Scholar 

  • Abosedra, S., Shahbaz, M., & Nawaz, K. (2016). Modelling causality between financial deepening and poverty reduction in Egypt. Social Indicators Research,126(3), 955–969.

    Article  Google Scholar 

  • AFI. (2015). 2015 Maya declaration report: Commitments into action. Alliance for Financial Inclusion. Retrieved on 5/29/2017 from http://www.afi-global.org/sites/default/files/publications/maya_report_2015-final.pdf.

  • Aghion, P., & Bolton, P. (1997). A theory of trickle-down growth and development. The Review of Economic Studies,64(2), 151–172.

    Article  Google Scholar 

  • Amemiya, T. (1977). The maximum likelihood and the nonlinear three-stage least squares estimator in the general nonlinear simultaneous equation model. Econometrica: Journal of the Econometric Society,45, 955–968.

    Article  Google Scholar 

  • Amidžic, G., Massara, A., & Mialou, A. (2014). Assessing countries’ financial inclusion standing: A new composite index. IMF Working Paper (WP/14/36). Retrieved on 4/5/2019 from https://www.imf.org/external/pubs/ft/wp/2014/wp1436.pdf.

  • Amoako, G. K. (2012). Improving customer service in the banking industry-case of Ghana Commercial Bank (GCB)-Ghana. International Business Research,5(4), 134.

    Article  Google Scholar 

  • Ashraf, N., Karlan, D., & Yin, W. (2010). Female empowerment: Impact of a commitment savings product in the Philippines. World Development,38(3), 333–344.

    Article  Google Scholar 

  • Aslan, G., Deléchat, C., Newiak, M. M., & Yang, M. F. (2017). Inequality in financial inclusion and income inequality. Washington: International Monetary Fund.

    Book  Google Scholar 

  • Azeem, M. M., Mugera, A. W., & Schilizzi, S. (2018). Vulnerability to multi-dimensional poverty: An empirical comparison of alternative measurement approaches. The Journal of Development Studies,54(9), 1612–1636.

    Article  Google Scholar 

  • Beegle, K., De Weerdt, J., Friedman, J., & Gibson, J. (2012). Methods of household consumption measurement through surveys: Experimental results from Tanzania. Journal of Development Economics, 98(1), 3–18. https://doi.org/10.1016/j.jdeveco.2011.11.001.

    Article  Google Scholar 

  • Bhavnani, A., Chiu, R. W.-W., Janakiram, S., Silarszky, P., & Bhatia, D. (2008). The role of mobile phones in sustainable rural poverty reduction. Retrieved November, 22, 2008.

  • Brown, J. K., Zelenska, T. V., & Mobarak, M. A. (2013). Barriers to adoption of products and technologies that aid risk management in developing countries. Retrieved on 11/6/2019 from http://hdl.handle.net/10986/16365.

  • Brown, M., Guin, B., & Kirschenmann, K. (2015). Microfinance banks and financial inclusion. Review of Finance,20(3), 907–946.

    Article  Google Scholar 

  • Bruhn, M., & Love, I. (2014). The real impact of improved access to finance: Evidence from Mexico. The Journal of Finance,69(3), 1347–1376.

    Article  Google Scholar 

  • Cahyadi, E. R., & Waibel, H. (2016). Contract farming and vulnerability to poverty among oil palm smallholders in Indonesia. The Journal of Development Studies,52(5), 681–695.

    Article  Google Scholar 

  • Cameron, A. C., & Trivedi, P. K. (2010). Microeconometrics using Stata. Retrieved on 8/12/2015 from http://www.stata.com/stata-news/statanews.23.4.pdf.

  • Celidoni, M., & Procidano, I. (2015). Identification precision of vulnerability to poverty indexes: Does information quantity matter? Social Indicators Research,121(1), 93–113.

    Article  Google Scholar 

  • Chaudhuri, S., Jalan, J., & Suryahadi, A. (2002). Assessing household vulnerability to poverty from cross-sectional data: A methodology and estimates from Indonesia. Discussion Paper No. 0102-52. Retrieved on 1/26/2019 from https://academiccommons.columbia.edu/doi/10.7916/D85149GF.

  • Chibba, M. (2009). Financial inclusion, poverty reduction and the millennium development goals. The European Journal of Development Research,21(2), 213–230.

    Article  Google Scholar 

  • Choudhury, M. S. (2014). Poverty, vulnerability and financial inclusion: The context of Bangladesh. Journal of Politics and Administration, 2(1). Retrieved on 1/8/2019 from https://www.academia.edu/14675580/poverty_vulnerability_and_financial_inclusion_the_context_of_bangladesh.

  • Christiaensen, L. J., & Boisvert, R. N. (2000). On measuring household food vulnerability: Case evidence from Northern Mali. Department of Agricultural, Resource, and Managerial Economics, Cornell University, Ithaca, New York 14853-7801 USA.

  • Churchill, S. A., & Marisetty, V. B. (2019). Financial inclusion and poverty: A tale of forty-five thousand households. Applied Economics. https://doi.org/10.1080/00036846.2019.1678732.

    Article  Google Scholar 

  • Coulibaly, B. S. (2019). Foresight Africa: Top priorities for the continent in 2019. Retrieved on 11/4/2019 from Africa Growth initiative, Brookings Institute website: https://www.brookings.edu/wp-content/uploads/2019/01/BLS18234_BRO_book_007_WEB.pdf.

  • Demirgüç-Kunt, A., Beck, T., & Honohan, P. (2008). Finance for all?: Policies and pitfalls in expanding access. Washington, DC: World Bank.

    Google Scholar 

  • Demirgüç-Kunt, A., & Klapper, L. (2012a). Financial inclusion in Africa: An overview. Retrieved on 6/7/2019 from http://documents.albankaldawli.org/curated/ar/534321468332946450/pdf/WPS6088.pdf.

  • Demirgüç-Kunt, A., & Klapper, L. (2012b). Measuring financial inclusion: The global findex database. Retrieved on 5/21/2014 from https://openknowledge.worldbank.org/handle/10986/6042.

  • Demirgüç-Kunt, A., Klapper, L., & Singer, D. (2017). Financial inclusion and inclusive growth: A review of recent empirical evidence. Washington: The World Bank.

    Book  Google Scholar 

  • Demirgüç-Kunt, A., Klapper, L., Singer, D., Ansar, S., & Hess, J. (2018). The global findex database 2017: Measuring financial inclusion and the fintech revolution. Retrieved  on 11/1/2018 from http://documents.worldbank.org/curated/en/332881525873182837/pdf/126033-PUB-PUBLIC-pubdate-4-19-2018.pdf.

  • Demirgüç-Kunt, A., Klapper, L. F., Singer, D., & Van Oudheusden, P. (2015). The global findex database 2014: Measuring financial inclusion around the world. Retrieved on 5/29/2017 from https://papers.ssrn.com/sol3/papers.cfm?abstract_id=2594973.

  • Donovan, K. (2012). Mobile money for financial inclusion. Retrieved on 1/8/2019 from http://elibrary.worldbank.org/doi/abs/10.1596/9780821389911_ch04.

  • 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.

    Google Scholar 

  • Emerick, K., de Janvry, A., Sadoulet, E., & Dar, M. H. (2016). Technological innovations, downside risk, and the modernization of agriculture. American Economic Review,106(6), 1537–1561.

    Article  Google Scholar 

  • GSS. (2014). Ghana living standards survey: Main report. Retrieved on 6/21/2015 from Ghana Statistical Service, Accra. website: http://www.statsghana.gov.gh/docfiles/glss6/GLSS6_Main%20Report.pdf.

  • GSS. (2018). Ghana living standards survey round 7 (GLSS 7): Poverty trends in Ghana (20052017). Retrieved on 11/17/2018 from Ghana Statistical Service, Accra. website: http://www.statsghana.gov.gh/docfiles/publications/GLSS7/Poverty%20Profile%20Report_2005%20-%202017.pdf.

  • Hallegatte, S., Vogt-Schilb, A., Bangalore, M., & Rozenberg, J. (2016). Unbreakable: Building the resilience of the poor in the face of natural disasters. Washington: World Bank Publications.

    Google Scholar 

  • Hamid, H., Aziz, N., & Huong, P. N. A. (2016). Variable extractions using principal component analysis and multiple correspondence analysis for large number of mixed variables classification problems. Global Journal of Pure and Applied Mathematics,12(6), 5027–5038.

    Google Scholar 

  • Haughton, J., & Khandker, S. R. (2009). Handbook on poverty + inequality. Retrieved on 1/12/2019 from http://documents.worldbank.org/curated/en/488081468157174849/pdf/483380PUB0Pove101OFFICIAL0USE0ONLY1.pdf.

  • Hoddinott, J., & Quisumbing, A. (2010). Methods for microeconometric risk and vulnerability assessment. In Risk, Shocks, and Human Development (pp. 62–100). Springer.

  • ICSU, & ISSC. (2015). Review of the sustainable development goals: The science perspective. Paris: International Council for Science (ICSU). Retrieved on 5/29/2017 from http://www.genderportal.eu/resources/review-sustainable-development-goals-science-perspective.

  • Imai, K. S., Arun, T., & Annim, S. K. (2010). Microfinance and household poverty reduction: New evidence from India. World Development,38(12), 1760–1774.

    Article  Google Scholar 

  • Imai, K. S., Gaiha, R., & Thapa, G. (2015). Does non-farm sector employment reduce rural poverty and vulnerability? Evidence from Vietnam and India. Journal of Asian Economics,36, 47–61.

    Article  Google Scholar 

  • Jalilian, H., & Kirkpatrick, C. (2002). Financial development and poverty reduction in developing countries. International Journal of Finance & Economics,7(2), 97–108.

    Article  Google Scholar 

  • Jäntti, M., & Danziger, S. (2000). Income poverty in advanced countries. Handbook of Income Distribution,1, 309–378.

    Article  Google Scholar 

  • Jha, M., Amerasinghe, S., & Calverley, J. (2014). Financial inclusion: Reaching the UNBANKED. Standard Chartered Bank, Canada. Retrieved on 5/29/2017 from https://www.sc.com/en/resources/globalen/pdf/Research/Financial_Inclusion__Reaching_the_unbanked_04_09_14.pdf.

  • King, R. G., & Levine, R. (1993). Finance and growth: Schumpeter might be right. The Quarterly Journal of Economics,108(3), 717–737.

    Article  Google Scholar 

  • Klapper, L., El-Zoghbi, M., & Hess, J. (2016). Achieving the sustainable development goals: The role of financial inclusion. Washington, DC: CGAP.

    Google Scholar 

  • Kon, Y., & Storey, D. J. (2003). A theory of discouraged borrowers. Small Business Economics,21(1), 37–49.

    Article  Google Scholar 

  • Koomson, I., Annim, S. K., & Peprah, J. A. (2016). Loan refusal, household income and savings in Ghana: A dominance analysis approach. African Journal of Economic and Sustainable Development,5(2), 172–191. https://doi.org/10.1504/AJESD.2016.076095.

    Article  Google Scholar 

  • Koomson, I., & Ibrahim, M. (2018). Financial inclusion and growth of non-farm enterprises in Ghana. In Financing sustainable development in Africa (pp. 369–396). Springer. https://doi.org/10.1007/978-3-319-78843-2_14.

  • Lyons, A. C., & Hunt, J. (2003). The credit practices and financial education needs of community college students. Retrieved on 5/30/2017 from https://ssrn.com/abstract=2265596.

  • Mârza, B., Angelescu, C., & Tindeche, C. (2015). Agricultural insurances and food security. The new climate change challenges. Procedia Economics and Finance,27, 594–599.

    Article  Google Scholar 

  • Mattern, M., & McKay, C. (2018). Building Inclusive Payment Ecosystems in Tanzania and Ghana (No. na.” Focus Note 110). Retrieved on 1/27/2019 from Washington, D.C.: CGA website: http://documents.worldbank.org/curated/en/663171533185481164/pdf/129139-WP-PUBLIC-Focus-Note-Building-Inclusive-Payment-Ecosystems-June-2018.pdf.

  • McKinnon, R. I. (1973). Money and capital in economic development. Washington: Brookings Institution Press.

    Google Scholar 

  • Meyer, B. D., & Sullivan, J. X. (2011). Further results on measuring the well-being of the poor using income and consumption. Canadian Journal of Economics/Revue Canadienne d’économique,44(1), 52–87.

    Article  Google Scholar 

  • Meyer, B. D., & Sullivan, J. X. (2012). Identifying the disadvantaged: Official poverty, consumption poverty, and the new supplemental poverty measure. The Journal of Economic Perspectives,26(3), 111–135.

    Article  Google Scholar 

  • Mohammed, J. I., Mensah, L., & Gyeke-Dako, A. (2017). Financial inclusion and poverty reduction in Sub-Saharan Africa. African Finance Journal,19(1), 1–22.

    Google Scholar 

  • Mutabazi, K. D., Sieber, S., Maeda, C., & Tscherning, K. (2015). Assessing the determinants of poverty and vulnerability of smallholder farmers in a changing climate: The case of Morogoro region Tanzania. Regional Environmental Change,15(7), 1243–1258.

    Article  Google Scholar 

  • Novignon, J., Nonvignon, J., Mussa, R., & Chiwaula, L. S. (2012). Health and vulnerability to poverty in Ghana: Evidence from the Ghana living standards survey round 5. Health Economics Review,2(1), 11.

    Article  Google Scholar 

  • Ozughalu, U. M. (2016). Relationship between household food poverty and vulnerability to food poverty: Evidence from Nigeria. Social Indicators Research,125(2), 567–587.

    Article  Google Scholar 

  • Park, C.-Y., & Mercado, R. V., Jr. (2018). Financial inclusion, poverty, and income inequality in developing Asia. Singapore Economic Review,63(01), 185–206.

    Article  Google Scholar 

  • Perotti, R. (1993). Political equilibrium, income distribution, and growth. The Review of Economic Studies,60(4), 755–776.

    Article  Google Scholar 

  • Rajan, R., & Zingales, L. (1998). Financial development and growth. American Economic Review,88(3), 559–586.

    Google Scholar 

  • Reiter, B., & Peprah, J. A. (2015). Assessing African microfinance: An exploratory case study of Ghana’s central region. Journal of International Development,27(7), 1337–1342.

    Article  Google Scholar 

  • Sarma, M. (2012). Index of financial inclusion–A measure of financial sector inclusiveness. Berlin (GE): Berlin Working Papers on Money, Finance, Trade and Development.

  • Schumpeter, J. A. (1934). Theory of economic development: An inquiry profits, capital, credit, interest, and the business cycle. Cambridge: Havard University Press.

    Google Scholar 

  • Sharaunga, S., Mudhara, M., & Bogale, A. (2016). Effects of ‘women empowerment’ on household food security in rural KwaZulu-Natal province. Development Policy Review,34(2), 223–252.

    Article  Google Scholar 

  • Staiger, D. O., & Stock, J. H. (1994). Instrumental variables regression with weak instruments. Retrieved on 6/15/2017 from http://www.nber.org/papers/t0151.

  • Stata. (2015). Stata Base Reference Manual Release 14. Statistical Software. College Station. Texas, USA: StataCorp LP. Retrieved on 7/13/2017 from http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.637.2432.

  • Stiglitz, J. E. (1993). The role of the state in financial markets. The World Bank Economic Review, 7(suppl_1), 19–52.

  • Stiglitz, J. E., & Weiss, A. (1981). Credit rationing in markets with imperfect information. The American Economic Review,71(3), 393–410.

    Google Scholar 

  • Swamy, V. (2014). Financial inclusion, gender dimension, and economic impact on poor households. World Development,56, 1–15.

    Article  Google Scholar 

  • Tuesta, D., Sorensen, G., Haring, A., Camara, N., & others. (2015). Financial inclusion and its determinants: The case of Argentina. Retrieved  on 6/19/2017 from https://www.bbvaresearch.com/wp-content/uploads/2015/01/WP_15-03_Financial-Inclusion-in-Argentina.pdf.

  • World Bank. (2001). World development report 2000-2001: Attacking poverty. Retrieved  on 7/21/2017 from World Bank Group. New York: Oxford University Press website: https://openknowledge.worldbank.org/handle/10986/11856.

  • World Bank. (2018). UFA2020 Overview: Universal Financial Access by 2020. Retrieved on 11/1/2018 from http://www.worldbank.org/en/topic/financialinclusion/brief/achieving-universal-financial-access-by-2020.

  • Zhang, Q., & Posso, A. (2017). Thinking inside the box: A closer look at financial inclusion and household income. The Journal of Development Studies,55, 1–16.

    Google Scholar 

  • Zhang, Y., & Wan, G. (2008). Can we predict Vulnerability to Poverty? Retrieved on 11/1/2018 from World Institute for Development Economics Research paper/UNU-WIDER 2008/82 website: https://www.wider.unu.edu/sites/default/files/rp2008-82.pdf.

Download references

Acknowledgements

We would like to thank the Ghana Statistical Service for granting us the permission to use the GLSS7 data for this study. We also express our gratitude to the two anonymous reviewers whose suggestions and comments have helped to improve the quality of the paper.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Isaac Koomson.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Appendices

Appendix 1: post estimation plot of category coordinates

figure a

Appendix 2: summary statistics of variables used in the analyses

Variables

Full

Location

Gender

Rural

Urban

Male

Female

Mean

SD

Mean

SD

Mean

SD

Mean

SD

Mean

SD

Poor (yes = 1; no = 0)

0.236

0.425

0.396

0.489

0.079

0.269

0.260

0.438

0.177

0.382

Vulnerability to poverty (yes = 1; no = 0)

0.512

0.500

0.779

0.415

0.249

0.432

0.527

0.499

0.472

0.499

Ownership of mobile money account

0.093

0.290

0.071

0.258

0.093

0.290

0.083

0.276

0.080

0.272

Ownership bank account

0.190

0.393

0.118

0.323

0.261

0.439

0.203

0.403

0.158

0.365

Ownership of insurance policy

0.235

0.424

0.212

0.408

0.254

0.435

0.228

0.419

0.246

0.431

Access to credit

0.040

0.196

0.033

0.177

0.028

0.164

0.030

0.171

0.030

0.170

Receipt of remittance

0.303

0.460

0.275

0.447

0.269

0.443

0.207

0.405

0.432

0.496

Age of household head

46.994

14.179

47.596

14.602

46.402

13.728

46.360

13.659

48.568

15.286

Household size

5.652

3.291

6.349

3.693

4.968

2.671

6.088

3.483

4.567

2.439

Household size squared

42.772

60.527

53.941

74.803

31.817

39.067

49.198

67.771

26.802

31.558

Female (male = 0; female = 1)

0.287

0.452

0.248

0.432

0.325

0.468

    

Rural (urban = 0; rural = 1)

0.495

0.500

    

0.522

0.500

0.428

0.495

Educated (no = 0; yes = 1)

0.501

0.500

0.373

0.484

0.626

0.484

0.554

0.497

0.369

0.483

Consulted at hospital (no = 0; yes = 1)

0.098

0.297

0.105

0.306

0.091

0.288

0.081

0.272

0.141

0.348

Married (no = 0; yes = 1)

0.653

0.476

0.682

0.466

0.624

0.484

0.816

0.388

0.247

0.431

Employment status

 Unemployed

0.070

0.255

0.066

0.249

0.073

0.260

0.063

0.243

0.087

0.281

 Retired/inactive

0.091

0.288

0.084

0.277

0.098

0.298

0.074

0.262

0.134

0.341

 Employee

0.249

0.433

0.138

0.345

0.358

0.479

0.301

0.459

0.120

0.325

 Self employed

0.590

0.492

0.711

0.453

0.471

0.499

0.562

0.496

0.660

0.474

Region

 Western

0.100

0.300

0.119

0.324

0.081

0.273

0.104

0.305

0.089

0.285

 Central

0.085

0.279

0.093

0.290

0.078

0.268

0.075

0.264

0.110

0.313

 Greater Accra

0.162

0.369

0.031

0.174

0.290

0.454

0.161

0.367

0.166

0.372

 Volta

0.087

0.281

0.115

0.320

0.058

0.234

0.085

0.279

0.091

0.288

 Eastern

0.106

0.308

0.123

0.328

0.090

0.286

0.100

0.299

0.123

0.328

 Ashanti

0.194

0.396

0.155

0.362

0.233

0.423

0.174

0.379

0.244

0.430

 Brong Ahafo

0.095

0.293

0.106

0.308

0.083

0.276

0.094

0.292

0.096

0.295

 Northern

0.101

0.301

0.142

0.349

0.061

0.239

0.129

0.335

0.031

0.175

 Upper East

0.042

0.201

0.068

0.251

0.017

0.130

0.047

0.211

0.031

0.173

 Upper West

0.028

0.166

0.048

0.214

0.009

0.094

0.033

0.178

0.017

0.130

  1. Source: computed using GLSS7

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Koomson, I., Villano, R.A. & Hadley, D. Effect of Financial Inclusion on Poverty and Vulnerability to Poverty: Evidence Using a Multidimensional Measure of Financial Inclusion. Soc Indic Res 149, 613–639 (2020). https://doi.org/10.1007/s11205-019-02263-0

Download citation

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11205-019-02263-0

Keywords

JEL Classification

Navigation