Digital loans and buy now pay later from LendTech versus bank loans in the era of ‘black swans’: Complementarity in the area of consumer financing

Authors

DOI:

https://doi.org/10.24136/eq.2982

Keywords:

FinTech, LendTech, buy now pay later (BNPL), black swan, consumer finance, digitalisation

Abstract

Research background: People who take non-banking loans are primarily perceived as excluded from accessing bank services. The growth of e-commerce and the increasing digitalisation of customer interactions with banks was particularly accelerated by the COVID-19 pandemic (the first ‘black swan’). These processes have also influenced the rapid growth of the LendTech (LT) sector within FinTech with its digital loans and buy-now-pay-later (BNPL) services. The war in Ukraine (the second ‘black swan’) has led to an energy crisis, increased inflation, interest rates and credit costs, and reduced credit accessibility. In this context, the following research questions are addressed: Are the LT and banking sectors complementary or substitutive in the area of consumer financing? Does complementarity apply to all customer segments and loan amounts? How does the extent of complementarity or substitutability of the LT sector depend on, and to what extent do changes in the regulatory and macroeconomic environment affect, the interaction between the banking and LT sectors?

Purpose of the article: The aim of the article is to identify trends in the LT sector within FinTech in the context of assessing the scale and determinants of current and future complementarity of the non-bank sector and the banking sector in the area of consumer credit in time of black swans. An additional purpose of the article is to estimate revenues from the basic operating activities of companies from the on-line channel.

Methods: The research process was multi-stage and the research procedure was structured. Due to the lack of a uniform source of data on LT products and services, the study used many data sources — data from the Credit Information Bureau, a primary nationwide survey on LT users a primary survey of people representing LT's managerial staff. The selection of LTs was carried out according to the concept of the monetary sampling unit. The Horvitz-Thompson estimator with Sen‐Yates‐Grundy variance form was used to estimate net operating income for LT from the online channel in 2021.

Findings & value added: The LT companies surveyed state that black swans (the COVID-19 pandemic and the war in Ukraine) and the current macroeconomic situation have not significantly affected demand for non-banking loans. The reduction in the opportunities for the LT sector as a result of anti-usury regulations will only lead to a shift in consumer demand to the pawnshop sector and the shadow economy, which will be detrimental to consumers. Complementarity between LT and the banking sector is revealed especially in crisis situations, thus limiting the effects of market shock (limited supply of loans offered by banks). In periods of stabilisation, a rather clear division of preferences is noticeable – in the case of seniors and loans for higher amounts, banks dominate, while in the case of lower amounts and in younger age groups, non-bank institutions are more popular. The mechanism by which shrinking banking services are replaced by LT in short-term crises confirms the importance of LT in balancing the Consumer Finance market in the face of unstable periods. From a medium- and long-term perspective, it should be noted that inflation and rising interest rates will increase the scale of credit exclusion in commercial banks, shifting part of the demand to the non-bank sector. These phenomena have an international dimension. Similar observations were made already in 2012 by the CFPB in the USA and the British FTA, when analysing the consumer finance market immediately after the subprime crisis, emphasising the effects of limiting access to bank consumer loans and the resulting growth of the LT market (Gębski, 2013).

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References

Abakah, E. J. A., Adeabah, D., Tiwari, A. K., & Abdullah, M. (2023). Effect of Russia–Ukraine war sentiment on blockchain and FinTech stocks. International Review of Financial Analysis, 90, 102948.

DOI: https://doi.org/10.1016/j.irfa.2023.102948
View in Google Scholar

Abbassi, W., Kumari, V., & Pandey, D. K. (2023). What makes firms vulnerable to the Russia–Ukraine crisis? Journal of Risk Finance, 24(1), 24–39.

DOI: https://doi.org/10.1108/JRF-05-2022-0108
View in Google Scholar

Adamek, J., & Solarz, M. (2023). Adoption factors in digital lending services offered by FinTech lenders. Oeconomia Copernicana, 14(1), 169–212.

DOI: https://doi.org/10.24136/oc.2023.005
View in Google Scholar

Agarwal, S., & Chua, Y.H. (2020). FinTech and household finance: A review of the empirical literature. China Finance Review International, 10(4), 361–376.

DOI: https://doi.org/10.1108/CFRI-03-2020-0024
View in Google Scholar

Aldasoro, I., Doerr, S., & Zhou, H. (2022). Non-bank lending during financial crises. Retrieved from https://www.fdic.gov/analysis/cfr/bank-research-conference/an nual-21st/papers/zhou-paper.pdf (05.01.2023).

DOI: https://doi.org/10.2139/ssrn.4540773
View in Google Scholar

Aliber, R. Z., Kindleberger, C. P., & McCauley, R. N. (2023). Manias, panics, and crashes. A history of financial crises. Palgrave Macmillan Cham.

DOI: https://doi.org/10.1007/978-3-031-16008-0
View in Google Scholar

Andronie, M., Iatagan, M., Uță, C., Hurloiu, I., Dijmărescu, A., & Dijmărescu, I. (2023). Big data management algorithms in artificial Internet of Things-based fintech. Oeconomia Copernicana, 14(3), 769–793.

DOI: https://doi.org/10.24136/oc.2023.023
View in Google Scholar

Balcerzak, A. P., Zinecker, M., Skalický, R., Rogalska, E., & Doubravský, K. (2023). Technology-oriented start-ups and valuation: A novel approach based on specific contract terms. Technological Forecasting and Social Change, 197, 122876.

DOI: https://doi.org/10.1016/j.techfore.2023.122876
View in Google Scholar

Bao, Z., & Huang, D. (2021). Shadow banking in a crisis: Evidence from fintech during COVID-19. Journal of Financial and Quantitative Analysis, 56(7), 2320–2355.

DOI: https://doi.org/10.1017/S0022109021000430
View in Google Scholar

Bazarbash, M., Beaton, K., & Eriksson, U. (2020). Filling the gap: Digital credit and financial inclusion. IMF Working Papers, 150.

DOI: https://doi.org/10.5089/9781513552477.001
View in Google Scholar

Bernardelli, M., Korzeb, Z., Niedziółka, P., & Waliszewski, K. (2023). Channels for the impact of the war in Ukraine on the commercial banking sector in Poland – first results of the study. Contemporary Economics, 17, 142–173.

DOI: https://doi.org/10.5709/ce.1897-9254.504
View in Google Scholar

BIK (2020). Branża Consumer Finance w czasie pandemii. Kongres Consumer Finance, Warszawa, 10.12.2020. Retrieved from https://www.efcongress.com/wp-content/uploads/2021/02/Bran%C5%BCa-Consumer-Finance-w-czasie-pandemi i.pdf (25.11.2022).
View in Google Scholar

BIK (2021). Consumer Finance 2021 w liczbach. Kongres Consumer Finance. Retrieved from https://www.efcongress.com/wp-content/uploads/2021/12/Consu mer-Finance-2021-20211213-final-obrazy.pdf (30.11.2022).
View in Google Scholar

BIK (2022). Rynek consumer finance w warunkach inflacji i rosnących stóp procentowych. Kongres Consumer Finance, Warszawa, 1.12.2022. Retrieved from https://www.efcongress.com/wp-content/uploads/2022/12/BIK-Consumer_Finan ce_20221201_08_sent_jpg.pdf (23.01.2023).
View in Google Scholar

Branzoli, N., & Supino, I. (2020). Fintech credit: A critical review of empirical research literature. Bank of Italy Occasional Paper, 549.

DOI: https://doi.org/10.2139/ssrn.3612726
View in Google Scholar

Buchak, G., Matvos G., Piskorski T., & Seru A. (2018). Fintech, regulatory
View in Google Scholar

arbitrage, and the rise of shadow banks. Journal of Financial Economics, 130, 453–483.
View in Google Scholar

Caldara, D., & Iacoviello, M. (2022). Measuring geopolitical risk. American Economic Review, 112(4), 1194–1225.

DOI: https://doi.org/10.1257/aer.20191823
View in Google Scholar

Cao, L., Yang, Q., & Yu, P.S. (2021). Data science and AI in FinTech: An overview. International Journal of Data Science and Analytics 12, 81–99.

DOI: https://doi.org/10.1007/s41060-021-00278-w
View in Google Scholar

CFPB (2012). Fair lending report of the consumer financial protection bureau. Consumer Financial Protecion Bureau from https://www.consumerfinance.gov/data -research/research-reports/fair-lending-report-of-the-consumer-financial-protect ion-bureau (02.02.2024).
View in Google Scholar

Choi, S. Y. (2020). Industry volatility and economic uncertainty due to the COVID-19 pandemic: Evidence from wavelet coherence analysis. Finance Research Letters, 37, 101783.

DOI: https://doi.org/10.1016/j.frl.2020.101783
View in Google Scholar

Chrzanowski M., & Dąbrowski, I. (2021). A dynamic perspective on competition between traditional banking and banking fintechs. Prace Naukowe Uniwersytetu Ekonomicznego we Wrocławiu, 65(2), 1–14.

DOI: https://doi.org/10.15611/pn.2021.2.01
View in Google Scholar

De Roure, C., Pelizzon, L., & Thakor, A. V. (2019). P2P lenders versus banks: Cream skimming or bottom fishing?. Leibniz Institute for Financial Research SAFE Working Paper, 206.

DOI: https://doi.org/10.2139/ssrn.3174632
View in Google Scholar

Deeg, R. (2005). Complementarity and institutional change. How useful a concept? WZB Discussion Paper, N. SP 2005-21.

DOI: https://doi.org/10.2139/ssrn.870428
View in Google Scholar

Di Maggio, M., & Yao, V. (2021). Fintech borrowers: Lax screening or cream skimming? Review of Financial Studies, 34(10), 4565–4618.

DOI: https://doi.org/10.1093/rfs/hhaa142
View in Google Scholar

Di Maggio, M., Ratnadiwakara, D., & Carmichael, D. (2022). Invisible primes: Fintech lending with alternative data. SSRN.

DOI: https://doi.org/10.2139/ssrn.4056793
View in Google Scholar

Didier, B. T, Feyen, E. H. B., Llovet Montanes, R., & Ardic Alper, O. P. (2022). Global patterns of fintech activity and enabling factors: Fintech and the future of finance flagship technical note. World Bank Group. Retrieved from http://documents.worldbank.org/curated/en/099735504212234006/P1730060695b370090908c0bf80ed27eba6 (07.07.2022).
View in Google Scholar

Eça, A., Ferreira, M. A., Prado, M. P., & Rizzo, E. (2022). The real effects of FinTech lending on SMEs: Evidence from loan applications. European Central Bank Working Paper, 2639.

DOI: https://doi.org/10.2139/ssrn.4205164
View in Google Scholar

Elsaid, H. M. (2023). A review of literature directions regarding the impact of fintech firms on the banking industry. Qualitative Research in Financial Markets, 15(5), 693–711.

DOI: https://doi.org/10.1108/QRFM-10-2020-0197
View in Google Scholar

Erel, I., & Liebersohn, J. (2020). Does fintech substitute for banks? Evidence from the paycheck protection program. NBER Working Paper Series, 27659.

DOI: https://doi.org/10.3386/w27659
View in Google Scholar

EUROFINAS (2021). Biannual survey 2020. Retrieved from http://www.eurofinas. org/uploads/documents/statistics/Eurofinas%20Biannual%20Survey%202020.pdf (11.11.2022).
View in Google Scholar

Feyen, E., Frost, J., Gambacorta, L., Natarajan, H., & Saal, M. (2021). Fintech and the digital transformation of financial services: Implications for market structure and public policy. BIS Papers, 117.
View in Google Scholar

Fischer, M. (2021). Fintech business models applied canvas method and analysis of venture capital rounds. Berlin: De Gruyter.

DOI: https://doi.org/10.1515/9783110704907
View in Google Scholar

Fiszeder, P., & Małecka, M. (2022). Forecasting volatility during the outbreak of Russian invasion of Ukraine: Application to commodities, stock indices, currencies, and cryptocurrencies. Equilibrium. Quarterly Journal of Economics and Economic Policy, 17(4), 939–967.

DOI: https://doi.org/10.24136/eq.2022.032
View in Google Scholar

Folwarski, M. (2020). Development of FinTech and BigTech companies and their expansion on the banking market. Prace Naukowe Uniwersytetu Ekonomicznego we Wrocławiu, 64(1), 44–54.

DOI: https://doi.org/10.15611/pn.2020.1.04
View in Google Scholar

Fu, J., & Mishra, M. (2022). Fintech in the time of COVID−19: Technological adoption during crises. Journal of Financial Intermediation, 50(C).

DOI: https://doi.org/10.1016/j.jfi.2021.100945
View in Google Scholar

Gębski, Ł. (2013). Excessive household debt: A financial and legal hurdle or a social problem? Gospodarka Narodowa, 4, 83–108.

DOI: https://doi.org/10.33119/GN/100952
View in Google Scholar

Grunert, K. G., Chimisso, C., Lähteenmäki, L., Leardini, D., Sandell, M. A., Vainio, A., & Vranken, L. (2023). Food-related consumer behaviours in times of crisis: Changes in the wake of the Ukraine war, rising prices and the aftermath of the COVID-19 pandemic. Food Research International, 173(2), 113451.

DOI: https://doi.org/10.1016/j.foodres.2023.113451
View in Google Scholar

Guang-Wen, Z., & Siddik, A.B. (2023). The effect of Fintech adoption on green finance and environmental performance of banking institutions during the COVID-19 pandemic: The role of green innovation. Environmental Science and Pollution Research, 30, 25959–25971.

DOI: https://doi.org/10.1007/s11356-022-23956-z
View in Google Scholar

Hadasik, B., & Kubiczek, J. (2022). E-commerce market environment formed by the COVID-19 pandemic – a strategic analysis. Forum Scientiae Oeconomia, 10(3), 25–52.
View in Google Scholar

Haddad, C., & Hornuf, L. (2019). The emergence of the global fintech market: Economic and technological determinants. Small Business Economics, 53, 81–105.

DOI: https://doi.org/10.1007/s11187-018-9991-x
View in Google Scholar

Harasim, J., & Mitręga-Niestrój, K. (2018). FinTech – definitional dilemmas and drivers of growth. Prace Naukowe Uniwersytetu Ekonomicznego we Wrocławiu, 531, 169–179.

DOI: https://doi.org/10.15611/pn.2018.531.15
View in Google Scholar

Hasan, F., Al-Okaily, M., Choudhury, T., & Kayani, U. N. (2023). A comparative analysis between FinTech and traditional stock markets: Using Russia and Ukraine war data. Electronic Commerce Research, 2023, 1–26.

DOI: https://doi.org/10.1007/s10660-023-09734-0
View in Google Scholar

Hau, H., Huang, Y., Shan, H., & Sheng, Z. (2019). How fintech enters China’s credit market. AEA Papers and Proceedings, 109, 60–64.

DOI: https://doi.org/10.1257/pandp.20191012
View in Google Scholar

Hodula, M. (2022). Does Fintech credit substitute for traditional credit? Evidence from 78 countries. Finance Research Letters, 46, 102469.

DOI: https://doi.org/10.1016/j.frl.2021.102469
View in Google Scholar

Horvitz, D. G., & Thompson, D. J. (1952). A generalisation of sampling without replacement from a finite universe. Journal of the American statistical Association, 47(260), 663–685.

DOI: https://doi.org/10.1080/01621459.1952.10483446
View in Google Scholar

Ikigai Innovation Initiative (2021). Digital lending: Inside the pervasive practice of LTs in Nigeria. Retrieved from https://ikigaination.org/wp-content/uploads /2021/08/LT.pdf (10.01.2023).
View in Google Scholar

Imam, T., McInnes, A., Colombage, S., & Grose, R. (2022). Opportunities and barriers for fintech in SAARC and ASEAN Countries. Journal of Risk and Financial Management, 15(2), 77.

DOI: https://doi.org/10.3390/jrfm15020077
View in Google Scholar

Jagtiani, J., & Lemieux, C. (2018). Do fintech lenders penetrate areas that are underserved by traditional banks? Journal of Economics and Business, 100, 43–54.

DOI: https://doi.org/10.1016/j.jeconbus.2018.03.001
View in Google Scholar

Jakubowska–Branicka, I., Walczak, B., & Waliszewski, K. (2020). Determinants of the development of the non-bank loans market in Poland – Economic, regulation, technological and sociological perspective. Ekonomista, 5, 717–739.

DOI: https://doi.org/10.52335/dvqp.te188
View in Google Scholar

Jalal, A., Al Mubarak, M., & Durani, F. (2024). Financial technology (Fintech). In A. Hamdan & E. S. Aldhaen (Eds.). Artificial intelligence and transforming digital marketing. Studies in systems, decision and control, vol 487 (pp. 525–536). Springer.

DOI: https://doi.org/10.1007/978-3-031-35828-9_45
View in Google Scholar

Jensen, A. (1926). The representative method in practice. Bulletin of the International Statistical Institute, 22, 359–380.
View in Google Scholar

Jorda, O., Singh S. R., & Taylor A., (2020). Longer-run economic consequences of pandemics. NBER Working Paper Series, 26934.

DOI: https://doi.org/10.3386/w26934
View in Google Scholar

Korzeb, Z., & Niedziółka, P. (2020). Resistance of commercial banks to the crisis caused by the COVID-19 pandemic: The case of Poland. Equilibrium. Quarterly Journal of Economics and Economic Policy, 15(2), 205–234.

DOI: https://doi.org/10.24136/eq.2020.010
View in Google Scholar

Kowalewski, O., & Pisany, P. (2022). Bank’s consumer lending reaction to fintech and bigtech credit emergence in the context of the versus hard credit information processing. International Review of Financial Analysis, 81(C), 102116.

DOI: https://doi.org/10.1016/j.irfa.2022.102116
View in Google Scholar

KPMG (2021). Australian fintech landscape. Retrieved from https://home.kpmg/ au/en/home/insights/2021/10/australian-fintech-landscape.html (04.07.2022).
View in Google Scholar

Kutzbach, M. J., & Pobach, J. (2022). Can banks lend like fintechs? Technology, PPP, and the COVID-19 pandemic. Federal Deposit Insurance Corporation, Working Papers, 2022-02.
View in Google Scholar

Lăzăroiu, G., Bogdan, M., Geamănu, M., Hurloiu, L., Luminița, L., & Ștefănescu, R. (2023). Artificial intelligence algorithms and cloud computing technologies in blockchain-based fintech management. Oeconomia Copernicana, 14(3), 707–730.

DOI: https://doi.org/10.24136/oc.2023.021
View in Google Scholar

LendTech Market Research. Opportunities and forecasts 2021-2031 (2021). Allied Market Research.
View in Google Scholar

Li, G., Lv, X., & Han, X. (2022). Digital financial inclusion and household debt in China. Applied Economics Letters, 1(5), 2862–2866.

DOI: https://doi.org/10.1080/13504851.2022.2110560
View in Google Scholar

Lin, F., Li, X., Jia, N., Feng F., Huang, H., Huang, J., Fan, S., Ciais, P., & Song, X-P. (2023). The impact of Russia-Ukraine conflict on global food security. Global Food Security, 36, 100661.

DOI: https://doi.org/10.1016/j.gfs.2022.100661
View in Google Scholar

Loxton, M., Truskett, R., Scarf, B., Sindoone, L., Baldry, G., & Zhao, Y. (2020). Consumer behaviour during crises: Preliminary research on how coronavirus has manifested consumer panic buying, herd mentality, changing discretionary spending and the role of the media in influencing behaviour. Journal of Risk and Financial Management, 13(8), 166.

DOI: https://doi.org/10.3390/jrfm13080166
View in Google Scholar

Maliszewska, M., Mattoo, A., & van der Mensbrugghe, D. (2020). The potential impact of COVID-19 on GDP and trade: A preliminary assessment. World Bank Policy Research Working Paper, 9211.

DOI: https://doi.org/10.1596/1813-9450-9211
View in Google Scholar

Moro-Visconti, R., Cruz Rambaud, S., & López Pascual, J. (2020). Sustainability in FinTechs: An explanation through business model scalability and market valuation. Sustainability, 12(24), 10316.

DOI: https://doi.org/10.3390/su122410316
View in Google Scholar

NBP (2023). Sytuacja na rynku kredytowym wyniki ankiety do przewodniczących komitetów kredytowych IV kwartał 2022 r. Retrieved from https://www.nbp.pl /systemfinansowy/rynek_kredytowy_2022_4.pdf (10.01.2023).
View in Google Scholar

Nguyen, L., Tran, S., & Ho, T. (2021). Fintech credit, bank regulations and bank performance: A cross-country analysis. Asia-Pacific Journal of Business Administration, 14(4), 445–466.

DOI: https://doi.org/10.1108/APJBA-05-2021-0196
View in Google Scholar

Ozili, P. K., (2020). Social inclusion and financial inclusion: International evidence. International Journal of Development Issues, 19(2), 169–186.

DOI: https://doi.org/10.1108/IJDI-07-2019-0122
View in Google Scholar

Ozili, P. K., Mhlanga, D., Ammar, R., & Fersi, M. (2024). Information effect of fintech and digital finance on financial inclusion during the COVID-19 pandemic: Global evidence. FinTech, 3, 66–82.

DOI: https://doi.org/10.3390/fintech3010005
View in Google Scholar

PwC (2017). Banki i fintechy – małżeństwo z rozsądku. Retrieved from https://www.pwc.pl/pl/pdf/fintech2017-raport-pwc.pdf (10.07.2022).
View in Google Scholar

Sen, A. (1953). On the estimate of the variance in sampling with varying
View in Google Scholar

probabilities. Journal of the Indian Society of Agricultural Statistics, 5, 119–127.
View in Google Scholar

Singh, J., & Singh, M. (2023). Fintech applications in social welfare schemes during Covid times: An extension of the classic TAM model in India. International Social Science Journal, 73(250), 979–998.

DOI: https://doi.org/10.1111/issj.12406
View in Google Scholar

Takeda, A., & Ito, Y. (2021). A review of FinTech research. International Journal of Technology Management, 86(1), 67–88.

DOI: https://doi.org/10.1504/IJTM.2021.115761
View in Google Scholar

Taleb, N. N. (2007). The black swan: The impact of the highly improbable. New York: Random House Publishing Group.
View in Google Scholar

Tamara, D., Furinto, A., Hakim, A., & Santosa, D. (2021). P2p lending: Complement or substitute to small bank. Syntax Idea, 3(11), 2319–2326.

DOI: https://doi.org/10.46799/syntax-idea.v3i11.1567
View in Google Scholar

Tanda, A., & Schena, C-M. (2020). FinTech, BigTech and Banks. Berlin: Springer Nature.

DOI: https://doi.org/10.1007/978-3-030-22426-4
View in Google Scholar

Tang, H. (2019). Peer-to-peer lenders versus banks: Substitutes or complements? Review of Financial Studies, 32(5), 1900–1938.

DOI: https://doi.org/10.1093/rfs/hhy137
View in Google Scholar

Tapanainen, T. (2020). Toward fintech adoption framework for developing countries - A literature review based on the stakeholder perspective. Journal of Information Technology Applications and Management, 27(5), 1–22.
View in Google Scholar

Temelkov, Z. (2020). Differences between traditional bank model and fintech based digital bank and neobanks models. SocioBrains, 74, 8–15.
View in Google Scholar

Thakor, A. V. (2020). Fintech and banking: What do we know? Journal of Financial Intermediation, 41(C), 100833.

DOI: https://doi.org/10.1016/j.jfi.2019.100833
View in Google Scholar

Tillé, Y. (2006). Sampling algorithms. Berlin: Springer Science & Business Media.
View in Google Scholar

Tut, D. (2023). Fintech and the COVID-19 pandemic: Evidence from electronic payment systems. Emerging Markets Review, 54, 100999.

DOI: https://doi.org/10.1016/j.ememar.2023.100999
View in Google Scholar

Vu, P. T. T., Huynh, N., Phan, H., & Hoang, H. (2023). Financial earthquakes and aftershocks: From Brexit to Russia-Ukraine conflict and the stability of European banks. Journal of International Financial Markets, Institutions and Money, 88, 101830.

DOI: https://doi.org/10.1016/j.intfin.2023.101830
View in Google Scholar

Waliszewski, K. (2020). The impact of the COVID-19 pandemic on the non-bank loan market in Poland. Financial Sciences. Nauki o Finansach, 25(4), 66–74.

DOI: https://doi.org/10.15611/fins.2020.4.05
View in Google Scholar

Waliszewski, K., Cichowicz, E., Gębski , Łukasz, Kliber , F., Kubiczek , J., Niedziółka, P., & Warchlewska , A. (2023). The role of the Lendtech sector in the consumer credit market in the context of household financial exclusion. Oeconomia Copernicana, 14(2), 609–643.

DOI: https://doi.org/10.24136/oc.2023.017
View in Google Scholar

World Bank (2022). Innovation in payments: Opportunities and challenges for EMDEs fintech and the future of finance flagship technical note. Retrieved from https://openknowledge.worldbank.org/bitstream/handle/10986/37357/P1730060f0f36d0ef09ecb0c5e283741c3a.pdf?sequence=1&isAllowed=y (30.06.2022).
View in Google Scholar

Yadav, M., & Shanmugam, S. (2024). Factors influencing behavioral intentions to use digital lending: An extension of TAM model. Jindal Journal of Business Research.

DOI: https://doi.org/10.1177/22786821231211411
View in Google Scholar

Yates, F., & Grundy, P. (1953). Selection without replacement from within
View in Google Scholar

strata with probabilities proportion to size. Journal of the Royal Statistical Society, 15(2), 235–261.
View in Google Scholar

Yeo, E, & Jun, J. (2020). Peer-to-peer lending and bank risks: A closer look. Sustainability, 12(15), 6107.

DOI: https://doi.org/10.3390/su12156107
View in Google Scholar

ZPF (2023). Sektor instytucji pożyczkowych w Polsce. I połowa 2022. Retrieved from https://zpf.pl/raports/sektor-instytucji-pozyczkowych-w-polsce/.
View in Google Scholar

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2024-03-30

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Waliszewski, K., Cichowicz , E., Gębski , Łukasz, Kliber, F., Kubiczek, J., Niedziółka , P., … Warchlewska , A. (2024). Digital loans and buy now pay later from LendTech versus bank loans in the era of ‘black swans’: Complementarity in the area of consumer financing . Equilibrium. Quarterly Journal of Economics and Economic Policy, 19(1), 241–278. https://doi.org/10.24136/eq.2982

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