Enhancing MSME Credit Access in Emerging Markets through Open Banking: Evidence from Cash-Flow Based Lending
DOI:
https://doi.org/10.56127/jukim.v4i03.2246Keywords:
Open Banking; MSME; Cash-Flow Based Lending; Approval Rate; NPL; Emerging MarketsAbstract
This study investigates the impact of Open Banking adoption on micro, small, and medium enterprise (MSME) credit access in emerging economies, with a specific focus on cash-flow based lending enabled through account aggregation APIs. Utilizing panel data of 150 MSMEs that applied for bank or fintech credit between 2022 and 2024, we employ fixed-effects regression to examine how the API Adoption Index and Cash-Flow Completeness Score influence approval rate, time-to-decision (“time-to-yes”), and non-performing loan (NPL) ratios. Results indicate that a 10 % increase in the API Adoption Index is associated with a 4.2 % rise in approval rate (p < 0.01), a 35 % reduction in time-to-yes, and a 1.8 percentage point reduction in NPL. These findings fill a critical gap in literature by providing empirical evidence specific to emerging-market MSMEs and highlight policy implications for regulators and financial institutions aiming to boost inclusive lending through data sharing frameworks.
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ChatGPT said:
Berikut daftar pustaka Anda yang sudah disesuaikan dengan format APA 6:
Kusrianto, A. (2007). Pengantar desain komunikasi visual. Grasindo.
Bringhurst, R. (2012). The elements of typographic style (4th ed.). Hartley & Marks.
Carter, R., Day, B., & Meggs, P. B. (2011). Typographic design: Form and communication. Wiley.
Kapferer, J.-N. (2012). The new strategic brand management. Kogan Page.
Paivio, A. (1990). Mental representations: A dual coding approach. Oxford University Press.
Sudiana, N. (2005). Dasar-dasar tipografi. Erlangga.
Wheeler, A. (2013). Designing brand identity. Wiley.
Warde, B. (1930). The crystal goblet: Sixteen essays on typography. Cleveland, OH: World Publishing.
Kalau mau, saya bisa satukan ini dengan daftar pustaka yang tadi Anda kirim sebelumnya sehingga menjadi satu list lengkap sesuai APA 6.
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You said:
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font-size:12.0000pt;" >
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font-size:12.0000pt;" >[4]BPS. (2023). Statistik UMKM Indonesia 2023. Badan Pusat Statistik, Jakarta.
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font-size:12.0000pt;" >[5]Jagtiani, J., & Lemieux, C. (2019). The roles of alternative data and machine learning in fintech lending: Evidence from the LendingClub consumer platform. Federal Reserve Bank of Philadelphia Working Paper, No. 18-15. https:/doi.org/10.21799/frbp.wp.2018.15
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ChatGPT said:
Berikut daftar pustaka Anda yang sudah saya perbaiki sesuai APA 6 (termasuk format italic, penulisan DOI/URL yang benar, dan tanpa nomor urut):
Bazarbash, M. (2019). Fintech in financial inclusion: Machine learning applications in assessing credit risk. IMF Working Paper, WP/19/109. International Monetary Fund. https://doi.org/10.5089/9781498317881.001
Beck, T., Frost, J., Gambacorta, L., & Qureshi, S. (2020). Fintech credit markets around the world: Size, drivers and policy issues. BIS Quarterly Review, September 2020, 17–34. Bank for International Settlements.
Bank for International Settlements. (2022). Open finance: Accessing and sharing financial data. Bank for International Settlements.
Badan Pusat Statistik. (2023). Statistik UMKM Indonesia 2023. Badan Pusat Statistik.
Jagtiani, J., & Lemieux, C. (2019). The roles of alternative data and machine learning in fintech lending: Evidence from the LendingClub consumer platform. Federal Reserve Bank of Philadelphia Working Paper, No. 18-15. https://doi.org/10.21799/frbp.wp.2018.15
Stiglitz, J. E., & Weiss, A. (1981). Credit rationing in markets with imperfect information. The American Economic Review, 71(3), 393–410.
World Bank. (2023). Open banking and open finance: Lessons and opportunities. World Bank.
