Does Digital Transformation Drive the Adjustment of Bank Loan Structure? Evidence From China

ABSTRACT This article examines the impact of digital transformation on bank loan structure. We employ text mining and the entropy weight method to measure the five‐dimensional digital transformation index of banks and conduct an empirical analysis based on the panel data of 132 commercial banks in China from 2013 to 2022. The results indicate that digital transformation significantly drives the adjustment of various types of bank loan structures, increasing the proportion of unsecured loans, personal loans, medium‐ and long‐term loans, manufacturing loans, and green loans. In terms of the impact mechanism, improving information screening capability and enhancing risk control capability are two key channels through which digital transformation exerts its impact. Furthermore, the heterogeneity analysis reveals that the impact of digital transformation on loan structures varies among banks with different asset size, profitability, and management efficiency. Finally, we propose targeted suggestions for commercial banks and regulatory authorities.

Authors

Institutions

Publication Details

Journal
International Review of Finance
Published
2026-10-04
DOI
https://doi.org/10.1111/irfi.70104
Primary Topic
Digital Transformation in Financial Services
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Does Digital Transformation Drive the Adjustment of Bank Loan Structure? Evidence From China

Chuang Shen, Junyi Wu, Yajin Zhang, Qian Chen
International Review of Finance
Digital Transformation in Financial Services
article

Does Digital Transformation Drive the Adjustment of Bank Loan Structure? Evidence From China

Chuang Shen, Junyi Wu, Yajin Zhang, Qian Chen
article en

Abstract

ABSTRACT This article examines the impact of digital transformation on bank loan structure. We employ text mining and the entropy weight method to measure the five‐dimensional digital transformation index of banks and conduct an empirical analysis based on the panel data of 132 commercial banks in China from 2013 to 2022. The results indicate that digital transformation significantly drives the adjustment of various types of bank loan structures, increasing the proportion of unsecured loans, personal loans, medium‐ and long‐term loans, manufacturing loans, and green loans. In terms of the impact mechanism, improving information screening capability and enhancing risk control capability are two key channels through which digital transformation exerts its impact. Furthermore, the heterogeneity analysis reveals that the impact of digital transformation on loan structures varies among banks with different asset size, profitability, and management efficiency. Finally, we propose targeted suggestions for commercial banks and regulatory authorities.

International Review of FinanceVol. 26(4)
Nanjing University of Finance and Economics (CN), Beijing Technology and Business University (CN), Instrumentation Technology and Economy Institute (CN)
National Office for Philosophy and Social Sciences
Industry, innovation and infrastructure, Decent work and economic growth
Openalex Percentile: Top 7%
Digital Transformation in Financial Services
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.