Prague Economic Papers 2026, 35(3):446-475 | DOI: 10.18267/j.pep.914

Digital Payment Channels and Fintech Performance in Kosovo: An Econometric Analysis Using HAC-GMM

Nexhat Kryeziu ORCID..., Esat Durguti ORCID...
Nexhat Kryeziu, MBE - University for Business and Technology - Prishtinë, Kosova
Esat Durguti (Corresponding author), Faculty of Economics - University Isa Boletini - Mitrovicë, Kosova

This research paper analyzes the impact of digital payment channels on fintech performance in Kosovo using monthly data from the Central Bank of Kosovo for the period 2018-2024. The analysis covers several key categories of financial transactions, specifically Credit Transfers in Paper Form (CTPF) and in Electronic Form (CTEF), Electronic Funds Transfers at Point of Sale (EFTPOS), Automated Teller Machine (ATM) based operations, including ATM Cash Withdrawals (ATMW) and ATM Deposits (ATMD), Credit Transfers via ATMs (CTATMs), as well as Cash Withdrawals and Card Payments at POS terminals (CWPOS and CPPOS). The empirical methodology relies on Ordinary Least Squares (OLS) and Heteroskedasticity and Autocorrelation Consistent Generalized Method of Moments (HAC-GMM) estimators. Variables identified as I(1) were differenced before estimation, while structural breaks (COVID-19, post-pandemic) and regulatory milestones (2022 e-payment reforms) were incorporated into the model. The empirical findings indicate that electronic credit transfers, ATM deposits, and POS terminal card payments have a statistically significant positive effect on the volume of online transfers, which serves as a proxy for fintech performance. In contrast, paper-based credit transfers (CTPF), EFTPOS transactions, ATM cash withdrawals (ATMW), and cash withdrawals at POS terminals (CWPOS) have negative effects. In contrast, credit transfers conducted through ATMs (CTATMs) show no statistically significant impact. The results highlight the essential function of complete digital tools and transitional methods in facilitating financial inclusion, at the same time pointing out that such inclusion remains hindered by the structural and behavioral barriers associated with cash dependency. The study contributes to the academic literature in three main ways. First, it provides the most comprehensive transaction-level assessment of digital payments in Kosovo using official Central Bank of Kosovo data. Second, it employs advanced econometric techniques, particularly HAC GMM, to generate detailed and robust estimates of financial impacts. Third, it integrates the Technology Acceptance Model and Diffusion of Innovations theory with empirical financial behavior, offering an innovative analytical framework for understanding the interaction, substitution, and complementarity among payment channels in emerging markets. Policy recommendations included the acceptance of cards and the use of electronic transfers, the linking of ATM deposits with mobile banking, and the decrease of cash reliance through pricing strategies and the implementation of financial literacy programs.

Keywords: Fintech, digital payments system, financial innovation.
JEL classification: G23, G28

Received: July 27, 2025; Revised: February 18, 2026; Accepted: April 10, 2026; Prepublished online: September 8, 2026; Published: September 10, 2026  Show citation

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Kryeziu, N., & Durguti, E. (2026). Digital Payment Channels and Fintech Performance in Kosovo: An Econometric Analysis Using HAC-GMM. Prague Economic Papers35(3), 446-475. doi: 10.18267/j.pep.914
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References

  1. Alkadi, R. S., Abed, S. S. (2023). Consumer Acceptance of Fintech App Payment Services: A Systematic Literature Review and Future Research Agenda. Journal of Theoretical and Applied Electronic Commerce Research, 18(4), 1838-1860. https://doi.org/10.3390/jtaer18040093. Go to original source...
  2. Arellano, M. (2003). Panel Data Econometrics, Advanced Texts in Econometrics, Oxford University Press. https://doi.org/10.1093/0199245282.001.0001, accessed 1 May 2025. Go to original source...
  3. Arellano, M., Bond, S. (1991). Some Tests of Specification for Panel Data: Monte Carlo Evidence and Application to Employment Equations. The Review of Economic Studies, 58, 277-297. https://doi.org/10.2307/2297968. Go to original source...
  4. Avdullahi, A., Durguti, E. A., Sadikaj, B., Mehmeti, M. (2025). Unraveling the Profitability Puzzle: A Comprehensive Analysis of Banks' IT Adoption in Southeast and Central Europe. Economic Studies (Ikonomicheski Izsledvania), 34(4), pp. 19-35. https://econ-studies.iki.bas.bg/articles/RWYTgUC4JLGUtlO44b6Y.
  5. Bai, J., Choi, S.H., Liao, Y. (2021). Feasible generalized least squares for panel data with cross-sectional and serial correlations. Empirical Economics, 60, 309-326. https://doi.org/10.1007/s00181-020-01977-2. Go to original source...
  6. Briggs, R., Brooks, C. (2021). The development of electronic payment systems in Nigeria: A case study. Journal of Financial Services Research, 50(3), 345-367. http://bura.brunel.ac.uk/handle/2438/10794.
  7. Cameron, A. C., Trivedi, P. K. (2005). Microeconometrics: Methods and Applications. Cambridge University Press. https://doi.org/10.1017/CBO9780511811241. Go to original source...
  8. Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319-340. https://doi.org/10.2307/249008 Go to original source...
  9. Ernest & Young. (2017). EY Fintech Adoption Index: The rapid emergence of Fintech. Retrieved from http://www.ey.com/Publication/vwLUAssets/ey-Fintech-adoption-index-2017/$FILE/ey-Fintech-adoption-index-2017.pdf.
  10. Gomber, P., Koch, J.-A., Siering, M. (2017). Digital finance and FinTech: Current research and future research directions. Journal of Business Economics, 87(5), 537-580. https://doi.org/10.1007/s11573-017-0852-x. Go to original source...
  11. Haddad, C., Hornuf, L. (2019). The emergence of the global Fintech market: Economic and technological determinants. Small Business Economics, 53(1), 81-105. https://doi.org/10.1007/s11187-018-9991-x. Go to original source...
  12. Hall, A. R. (2005). Generalized Method of Moments. Oxford University Press. Go to original source...
  13. Hansen, L. P. (1982). Large Sample Properties of Generalized Method of Moments Estimators. Econometrica, 50(4), 1029-1054. https://doi.org/10.2307/1912775. Go to original source...
  14. Hayashi, F. (2000). Econometrics, Princeton University Press, Princeton, NJ.
  15. Impa, B. H., Alam, I., Kavitha, R., Prajapati, S. (2025). Evolving ATM Networks for High Volume Transactions. In: Kumar, A., Gunjan, V.K., Senatore, S., Hu, YC. (eds) Proceedings of the 5th International Conference on Data Science, Machine Learning and Applications; 2. ICDSMLA, Springer, Singapore. https://doi.org/10.1007/978-981-97-8043-3_2 Go to original source...
  16. Jain, V., Jain, N. (2025). From Cash to Clicks: A Systematic Review of Digital Payment Adoption Using the ADO Framework. NMIMS Management Review, 32(4), 277-291. https://doi.org/10.1177/09711023241312523 Go to original source...
  17. Kwiatkowski, D., Phillips, P. C. B., Schmidt, P., Shin, Y. (1992). Testing the null hypothesis of stationarity against the alternative of a unit root: How sure are we that economic time series have a unit root? Journal of Econometrics, 54(1-3), 159-178. https://doi.org/10.1016/0304-4076(92)90104-Y. Go to original source...
  18. Moody's Analytics. (2016). The impact of electronic payments on economic growth. Study commissioned by Visa Inc. Retrieved from https://usa.visa.com/dam/VCOM/download/visa-everywhere/global-impact/impact-of-electronic-payments-on-economic-growth.pdf
  19. Mukherjee, A., Gaur, A. (2024). Role of ATMs in Financial Inclusion. Indian Council for Research on International Economic Relations (ICRIER). Retrieved at: https://icrier.org/pdf/Role_of_ATMs_in_Financial_Inclusion.pdf.
  20. Niankara, I., Traoret, R. I. (2023). The digital payment-financial inclusion nexus and payment system innovation within the global open economy during the COVID-19 pandemic. Journal of Open Innovation: Technology, Market, and Complexity. 9(4). 100173. https://doi.org/10.1016/j.joitmc.2023.100173. Go to original source...
  21. Ong, HB., Chong, LL. (2023). The effect of cashless payments on the internet and mobile banking. Journal of Financial Services Marketing. 28, 178-188. https://doi.org/10.1057/s41264-022-00145-0. Go to original source...
  22. Open Data Kosovo. (2022). Narrative Report 2022. Open Data Kosovo. https://opendatakosovo.org/annual-reports/, Accessed 5 April 2025.
  23. Ouyang, Sh. (2021). Cashless Payment and Financial Inclusion. Journal of Financial Economics. 1-83. Available at SSRN: http://dx.doi.org/10.2139/ssrn.3948925. Go to original source...
  24. Ozili, P. K. (2018). Impact of digital finance on financial inclusion and stability. Borsa Istanbul Review, 18(4), 329-340. https://doi.org/10.1016/j.bir.2017.12.003. Go to original source...
  25. Ramayanti., R, Rachmawati., N.A, Azhar., Z, Azman., N.H.K. (2024). Exploring intention and actual use in digital payments: A systematic review and roadmap for future research. Computers in Human Behavior Reports. 13, 100348. https://doi.org/10.1016/j.chbr.2023.100348. Go to original source...
  26. Rogers, E. M. (2003). Diffusion of innovations (5th ed.). Free Press.
  27. Roodman, D. (2009). How to do Xtabond2: An Introduction to Difference and System GMM in Stata. The Stata Journal, 9(1), 86-136. https://doi.org/10.1177/1536867X0900900106. Go to original source...
  28. Schindler, J. W. (2017). FinTech and financial innovation: Drivers and depth. Finance and Economics Discussion Series 2017-081. Washington: Board of Governors of the Federal Reserve System. https://doi.org/10.17016/FEDS.2017.081. Go to original source...
  29. Simatele, M., Mbedzi, E. (2021). Consumer payment choices, costs, and risks: Evidence from Zimbabwe. Cogent Economics & Finance, 9(1). https://doi.org/10.1080/23322039.2021.1875564. Go to original source...
  30. Suader, M., Gurgul, H., Barbosa, B., Machno, A., Lach, L. (2024). Effectiveness of ATM withdrawal forecasting methods under different market conditions. Technological Forecasting and Social Change. 200, 123089. https://doi.org/10.1016/j.techfore.2023.123089. Go to original source...
  31. Sun, J. (2025). Sustainable financialization: The role of fintech in achieving SDGs. Journal of Sustainable Finance & Investment, 15(2), 123-145. https://doi.org/10.1007/978-981-96-3580-1. Go to original source...
  32. Ungratwar, S., Sharma, D. Kumar, S. (2025). Mapping the digital banking landscape: a multi-dimensional exploration of fintech, digital payments, and e-wallets, with insights into current scenarios and future research. Humanities and Social Sciences Communications. 12, 1064. https://doi.org/10.1057/s41599-025-05186-z Go to original source...
  33. Van Dinh, D. (2024). Digital economy and the electronic payment behavior: An empirical analysis. Transnational Corporations Review. 16(4). 200078. https://doi.org/10.1016/j.tncr.2024.200078. Go to original source...
  34. Venkatesh, V., Morris, M. G., Davis, G. B., Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27(3), 425-478. https://doi.org/10.2307/30036540 Go to original source...
  35. Wang, C., Du, J. Fan, X. (2022). High-dimensional correlation matrix estimation for general continuous data with the Bagging technique. Machine Learning, 111, 2905-2927. https://doi.org/10.1007/s10994-022-06138-3. Go to original source...
  36. Wooldridge, J. (2010). Econometric Analysis of Cross-Section and Panel Data. The MIT Press, Cambridge, Massachusetts, London. Second Edition.
  37. World Bank. (2022). The Little Data Book on Financial Inclusion 2022. © World Bank. http://hdl.handle.net/10986/38148
  38. Wu, L., Yu, D., Lv, Y. (2023). Digital banking and deposit: Substitution effect of mobile applications on web services. Finance Research Letters. 56, 104138. https://doi.org/10.1016/j.frl.2023.104138. Go to original source...
  39. Xu, H. (2025). Regulatory fragmentation and corporate innovation. Journal of Empirical Finance. 82, 101614. https://doi.org/10.1016/j.jempfin.2025.101614 Go to original source...
  40. Zhang, J., Luximon, Y., Song, Y. (2019). The Role of Consumers' Perceived Security, Perceived Control, Interface Design Features, and Conscientiousness in Continuous Use of Mobile Payment Services. Sustainability, 11(23), 6843. https://doi.org/10.3390/su11236843 Go to original source...

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