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Cited by 544

The DOI matches its Crossref record; 54 of the 54 references it cites were found in a registry or an index.

Does fintech innovation improve bank efficiency? Evidence from China’s banking industry

Lee, Chi-Chuan, Li, Xinrui, Yu, Chin-Hsien, Zhao, Jinsong·2021·International Review of Economics & Finance

Abstract

Abstract This paper examines whether the development of the financial technology (fintech) industry affects cost efficiency and the technology adopted for China's banking industry over the period 2003–2017. Different from previous works, we first construct fintech industry development indices for fintech overall and then four subcategories by using fintech enterprise-level data and measure the relevant efficiency scores for Chinese banks under different ownership structures by applying the stochastic metafrontier approach. Our results show that state-owned commercial banks have the lowest cost efficiency and operate under inferior technology. When considering the influence of fintech development, we find that fintech innovations not only improve the cost efficiency of banks, but also enhance the technology used by banks. This double beneficial effect is more significant in the case of market support service innovations.

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Metadata

Authors
Lee, C.-C., Li, X., Yu, C.-H., & Zhao, J.
Venue
International Review of Economics & Finance
Publisher
Elsevier BV
Published
2021-07
Volume
74
Pages
468-483
ISSN
1059-0560 (ISSN-L)
OpenAlex
W3137223397
Cited by
544
References
54
FWCI
74.85
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Does fintech innovation improve bank efficiency? Evidence from China’s banking industry. https://app.cochat.ai/papers/10.1016/j.iref.2021.03.009
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Lee, C.-C., Li, X., Yu, C.-H., & Zhao, J. (2021). Does fintech innovation improve bank efficiency? Evidence from China’s banking industry. International Review of Economics & Finance. https://doi.org/10.1016/j.iref.2021.03.009

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.