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人工智能对商业银行经营绩效的影响研究OACHSSCD

Research on the Impact of Artificial Intelligence on the Operating Performance of Commercial Banks

中文摘要英文摘要

基于2010-2024年105家商业银行的非平衡面板数据,借助主成分分析法,从盈利性、流动性和安全性三个维度对商业银行经营绩效展开测度,并采用文本分析法构建商业银行人工智能应用测度指标,实证分析人工智能对商业银行经营绩效的影响和作用机制.研究发现:人工智能能够显著提升商业银行经营绩效,并且该结论在一系列稳健性和内生性检验后依然成立.分维度来看,人工智能显著促进了商业银行盈利性与流动性的提升,但对安全性的影响未达到显著水平.机制分析表明,人工智能通过降低银行运营成本、缓解银企间信息不对称以及提高银行创新能力提升银行经营绩效.异质性分析进一步表明,对于东部地区银行、面临高竞争压力的银行以及股份制商业银行与城市商业银行,人工智能的提升效果更为明显.

Based on the unbalanced panel data of 105 commercial banks from 2010 to 2024,this paper measures the operating performance of commercial banks from three dimensions—profitability,liquidity and security—by virtue of the principal component analysis.Meanwhile,it adopts the text analysis method to construct measurement indicators for artificial intelligence(AI)applications in commercial banks,and conducts an empirical analysis of the impact and mechanism of AI on the operating performance of commercial banks.The study finds that artificial intelligence can significantly improve the operating performance of commercial banks,and the conclusion is still valid after a series of robustness and endogeneity tests.From a dimensional perspective,artificial intelligence has significantly promoted the profitability and liquidity of commercial banks,but the impact on security has not reached a significant level.Mechanism analysis shows that artificial intelligence improves bank operating performance by reducing bank operating costs,alleviating information asymmetry between banks and enterprises,and improving bank innovation ability and operating performance.The heterogeneity analysis further shows that the improvement effect of artificial intelligence is more obvious in banks in the eastern region,banks with higher competitive pressure,and joint-stock commercial banks and urban commercial banks.

肖锋;徐高洁

赣南师范大学 经济管理与法学学院,江西 赣州 341000||赣南师范大学 老龄社会研究中心,江西 赣州 341000赣南师范大学 经济管理与法学学院,江西 赣州 341000

管理科学

人工智能商业银行经营绩效文本分析法

artificial intelligencecommercial banksoperating performancetext analysis

《金融理论与教学》 2026 (2)

25-35,11

江西省教育科学规划项目"数字经济背景下金融人才数据素养的岗位需求匹配及其提升路径研究"(23YB166)江西省哲学社会科学重点研究基地项目"金融科技创新视阈下人口老龄化对居民消费升级的影响研究"(2023490245).

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