Preview

Central Asian Economic Review

Advanced search

Bibliometric Analysis of Research on Household Income Transmission through the Banking System

https://doi.org/10.52821/2789-4401-2026-3-174-195

Abstract

Purpose of the study – To identify the current state, dynamics, and major research directions in the field of household income transmission through the banking system, as well as to determine promising areas for further research.

Methodology – The study employs a bibliometric analysis of scientific publications addressing household income transmission through the banking system. Scopus was used as the primary database. The sample comprises 54 scientific publications selected based on key terms related to households, household income, banks, and income transmission. Scopus, VOSviewer, and ATLAS.ti were used to analyze publication activity, citation patterns, the structure and dynamics of scientific research, and to visualize relationships among research areas.

Research findings – The study identifies the main trends in the development of research on household income transmission through the banking system, the most cited publications and authors, and the key research directions. The analysis made it possible to determine the structure and dynamics of the scientific discourse and to identify promising areas for further research.

Scientific value of the study lies in the systematization and structuring of scientific publications addressing household income transmission through the banking system, the identification of key research directions, and the determination of prospects for the development of this research field. The findings can provide a basis for further theoretical and empirical studies of the relationship between the banking system, household income, and socio-economic development.

About the Authors

B. K. Kupeshova
Narxoz University
Kazakhstan

Almaty.



S. S. Arystanbayeva
Narxoz University
Kazakhstan

Almaty.



References

1. United Nations. Sustainable Development Goals [Электронный ресурс]. – Режим доступа: https://sdgs.un.org/goals.

2. Tokayev, K.-Zh. (2024, September 2). Poslanie Glavy gosudarstva Kasym-Zhomarta Tokaeva naroduKazakhstana «Spravedlivyi Kazakhstan: zakon i poriadok, ekonomicheskii rost, obshchestvennyi optimizm». https://www.akorda.kz/ (Russian)

3. Demirgüç-Kunt A., Klapper L. F. Measuring financial inclusion: The Global Findex Database // Labor: Demographics & Economics of the Family eJournal. – 2012. – https://doi.org/10.1596/1813-9450-6025.

4. Solo T., Manroth A. Access to financial services in Colombia: The unbanked in Bogota // World BankPolicy Research Working Paper Series. – 2006. – https://doi.org/10.1596/1813-9450-3834.

5. Beck T., Beck T., Brown M. Which households use banks? Evidence from the transition economies //SSRN Electronic Journal. – 2011. – https://doi.org/10.2139/ssrn.1761435.

6. Kast F., Pomeranz D. Saving more to borrow less: Experimental evidence from access to formal savingsaccounts in Chile // NBER Working Paper Series. – 2014. – https://doi.org/10.2139/ssrn.2451036.

7. Callen M., d. Mel S., Mcintosh C., Woodruff C. What are the headwaters of formal savings? Experimentalevidence from Sri Lanka // Banking & Insurance eJournal. – 2014. – https://doi.org/10.3386/W20736.

8. Iddrisu A., Danquah M. The welfare effects of financial inclusion in Ghana: An exploration based ona multidimensional measure of financial inclusion // WIDER Working Paper. – 2021. – https://doi.org/10.35188/unu-wider/2021/086-3.

9. Jin S., Gan C., Anh D. L. T. Financial inclusion toward economic inclusion: Empirical evidence from China’srural household // Agricultural Finance Review. – 2024. – https://doi.org/10.1108/afr-09-2023-0121.

10. Vo D., Lang N. D. The effect of financial inclusion on household wealth in Vietnam: Do female-headedhouseholds benefit more? // SAGE Open. – 2025. – Vol. 15. – https://doi.org/10.1177/21582440251360499.

11. Bynajankar R., Adhikari S. R., Khan M. M. Financial inclusion and living standards: Evidence fromNepal // Oxford Development Studies. – 2025. – Vol. 53. – P. 286–304. – https://doi.org/10.1080/13600818.2025.2507252.

12. Chen Y., Huang R., Zhang Y., Shuai Q. The impact of digital transformation of commercial banks onhousehold income: Evidence from China // PLOS ONE. – 2024. – Vol. 19. – https://doi.org/10.1371/journal.pone.0310277.

13. Ozili P. K. Financial inclusion: Globally important determinants // Financial Internet Quarterly. – 2021. – Vol. 17. – P. 1–11. – https://doi.org/10.2478/fiqf-2021-0023.

14. Carvalho C. M., Pasca N. M. C., Souza L., Zilberman E. Macroeconomic effects of credit deepening inLatin America // Macroeconomics: Prices. – 2015. – https://doi.org/10.2139/ssrn.2503755.

15. Lee S., Luetticke R., Ravn M. O. Financial frictions: Micro vs macro volatility // SSRN ElectronicJournal. – 2021. – https://doi.org/10.2139/ssrn.3979318.

16. Breza E., Kanz M., Klapper L. F. Learning to navigate a new financial technology: Evidence frompayroll accounts // PSN: Financial Institutions (Topic). – 2020. – https://doi.org/10.3386/w28249.

17. Somville V., Vandewalle L. Access to banking, savings and consumption smoothing in rural India //SSRN Electronic Journal. – 2019. – https://doi.org/10.2139/ssrn.4162439.

18. Somville V., Vandewalle L. Saving by default: Evidence from a field experiment in rural India //American Economic Journal: Applied Economics. – 2018. – https://doi.org/10.1257/APP.20160547.

19. Demirguc-Kunt A., Klapper L. F., Singer D., Ansar S., Hess J. The Global Findex Database 2017: Measuring financial inclusion and the fintech revolution. – 2018. – https://doi.org/10.1596/978-1-4648-1259-0.

20. Kochaniak K. Are incomes a key determinant of the levels of household sight deposits during a financialmarket downturn? The case of the eurozone countries // Argumenta Oeconomica. – 2019. – https://doi.org/10.15611/aoe.2019.2.01.

21. Caselli M., Somekh B. Access to banking and the role of inequality and the financial crisis // The B.E.Journal of Economic Analysis & Policy. – 2021. – Vol. 21. – P. 1373–1410. – https://doi.org/10.1515/bejeap-2020-0421

22. Son T. H., Liem N., Ly H. T. N. Understanding financial inclusion in Vietnam // Research in WorldEconomy. – 2019. – https://doi.org/10.5430/rwe.v10n3p382.

23. Thermadam S. Financial inclusion in India // Artha Journal of Social Sciences. – 2020. – https://doi.org/10.12724/ajss.53.3.

24. Khanh L. C. Determinants of financial inclusions: Comparing high, middle, and low-income countries// Political Economy – Development: International Development Efforts & Strategies eJournal. – 2019. – https://doi.org/10.2139/ssrn.3349933.

25. Dagnachew T. G., Mawugatie T. The analysis of financial inclusion and its determinants in the ruralarea of South Wollo Zone, Amhara Region, Ethiopia // Cogent Economics & Finance. – 2022. – Vol. 10. – https://doi.org/10.1080/23322039.2022.2146298.

26. Mohammady K., Vepa S. Determinants of formal financial services utilization in Afghanistan //Accounting and Finance Studies. – 2025. – https://doi.org/10.47153/afs52.15572025.

27. Rodríguez-Pose A., Sandu A. Banking on trust: Institutional trust and the geography of financialexclusion in Central and Eastern Europe // Environment and Planning A: Economy and Space. – 2025. – Vol. 57. – P. 921–948. – https://doi.org/10.1177/0308518X251350433.

28. Célérier C., Matray A. Bank-branch supply, financial inclusion, and wealth accumulation // The Reviewof Financial Studies. – 2019. – https://doi.org/10.1093/rfs/hhz046.

29. Naz M., Iftikhar S. F., Fatima A. Formal financial penetration and households’ welfare in Pakistan. –2020. – 2050041. – https://doi.org/10.1142/S2424786320500413.

30. Mel S. d., Mcintosh C., Sheth K., Woodruff C. Can mobile-linked bank accounts bolster savings? Evidence from a randomized controlled trial in Sri Lanka // Review of Economics and Statistics. – 2018. – Vol. 104. – P. 306–320. – https://doi.org/10.1162/rest_a_00956.

31. Li H. Impact of digital inclusive finance on household formal credit: Evidence from China HouseholdFinance Survey // Journal of Applied Finance & Banking. – 2023. – https://doi.org/10.47260/jafb/1369.

32. Gosztonyi M., Havran D. Highways to hell? Paths towards the formal financial exclusion: Empiricallessons of the households from Northern Hungary // The European Journal of Development Research. – 2021. – Vol. 34. – P. 1573–1606. – https://doi.org/10.1057/s41287-021-00434-9.

33. Arestis P., Corrado G., Corrado L. Shocks, financial constraints and households’ consumption amid theGreat Recession // Panoeconomicus. – 2021. – https://doi.org/10.2298/PAN2101001A.

34. Baker S., Kueng L. Household financial transaction data // SSRN Electronic Journal. – 2021. – https://doi.org/10.3386/W29027.

35. Baker S. Debt and the response to household income shocks: Validation and application of linkedfinancial account data // Journal of Political Economy. – 2018. – Vol. 126. – P. 1504–1557. – https://doi.org/10.1086/698106.

36. Gelman M., Kariv S., Shapiro M., Silverman D., Tadelis S. Harnessing naturally occurring data tomeasure the response of spending to income // Science. – 2014. – Vol. 345. – P. 212–215. – https://doi.org/10.1126/science.1247727.

37. Agarwal S., Qian W. Consumption and debt response to unanticipated income shocks: Evidence from anatural experiment in Singapore // Submissions. – 2014. – https://doi.org/10.2139/ssrn.2245351.

38. Agarwal S., Chomsisengphet S., Yildirim Y., Zhang J. Interest rate pass-through and consumptionresponse: The deposit channel // Review of Economics and Statistics. – 2020. – Vol. 103. – P. 922–938. – https://doi.org/10.1162/rest_a_00941.

39. Gumata N., Ndou E. How does a tight monetary policy shock affect the household sector intermediation?Evidence from households’ flow-of-funds data. – 2021. – P. 497–519. – https://doi.org/10.1007/978-3030-66340-7_34.

40. Castrén O., Kavonius I. K., Kavonius I. K. Balance sheet interlinkages and macro-financial risk analysisin the euro area // SSRN Electronic Journal. – 2009. – https://doi.org/10.2139/ssrn.1516167.

41. Li B. The impact of the Basel III liquidity coverage ratio on macroeconomic stability: An agent-based approach // European Economics: Macroeconomics & Monetary Economics eJournal. – 2017. – https://doi.org/10.2139/ssrn.2897238.

42. Papadopoulos G. Probing the mechanism: Lending rate setting in a data-driven agent-based model //SSRN Electronic Journal. – 2019. – https://doi.org/10.2139/ssrn.4198056.

43. Lengnick M., Krug S., Wohltmann H. Money creation and financial instability: An agent-based creditnetwork approach // Economics. – 2013. – Vol. 7. – https://doi.org/10.5018/economics-ejournal.ja.2013-32.

44. Byrialsen M., Raza H. An empirical stock-flow consistent macroeconomic model for Denmark //Macroeconomics: Aggregative Models eJournal. – 2020. – https://doi.org/10.2139/ssrn.3515450.


Review

For citations:


Kupeshova B.K., Arystanbayeva S.S. Bibliometric Analysis of Research on Household Income Transmission through the Banking System. Central Asian Economic Review. 2026;(3):174-195. (In Russ.) https://doi.org/10.52821/2789-4401-2026-3-174-195

Views: 9

JATS XML


Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.


ISSN 2789-4398 (Print)
ISSN 2789-4401 (Online)