In the shadow of big tech lending

Yanting Chen, Yingwei Dong and Jiayin Hu

China Economic Review, 2023, vol. 79, issue C

Abstract: We investigate the impact of Big Tech lending on non-bank traditional lenders, which have a more overlapping clientele with Big Tech lenders than traditional banks. Our empirical methodology exploits geographical differences in Big Tech penetration ratios and adopts the instrumental variable (IV) approach using the FinTech payment adoption ratio and the distance to the Big Tech's headquarter. We find that the competition from Big Tech worsens the performance of branches facing stronger Big Tech competition by reducing the number of borrowers and the amount of loans. Moreover, branches in cities highly penetrated by Big Tech lending tighten the lending standard by reducing loan-to-value (LTV) ratios, measured as the approved loan amount per unit collateral value, while keeping the average collateral requirement unchanged. Our findings are consistent with the cream-skimming hypothesis that Big Techs possess better screening technology and reduce the quality of borrowers applying for traditional loans. Our results document novel changes in and responses of the non-bank traditional lending business in the Big Tech era.

Keywords: Big tech; FinTech lending; Traditional loans; Non-bank financial institutions (NBFI); car equity loans (search for similar items in EconPapers)
JEL-codes: G21 G28 G51 (search for similar items in EconPapers)
Date: 2023
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S1043951X22001717
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:chieco:v:79:y:2023:i:c:s1043951x22001717

DOI: 10.1016/j.chieco.2022.101913

Access Statistics for this article

China Economic Review is currently edited by B.M. Fleisher, K. X. D. Huang, M.E. Lovely, Y. Wen, X. Zhang and X. Zhu

More articles in China Economic Review from Elsevier
Bibliographic data for series maintained by Catherine Liu ().