金融科技投入与不良贷款风险缓释--来自北京230家银行支行的微观证据  被引量:7

Fintech Investment and Non-performing Loan Risk Mitigation Micro-evidence from 230 Branches of Commercial Banks in Beijing

在线阅读下载全文

作  者:王海军 刘超 龙腾 Wang Haijun;Liu Chao;Long Teng(Beijing Wuzi University;Bank of Beijing;Yunnan University)

机构地区:[1]北京物资学院经济学院中国投资者教育与保护研究中心,北京101126 [2]北京银行股份有限公司,北京101100 [3]云南大学经济学院,云南昆明650504

出  处:《武汉大学学报(哲学社会科学版)》2023年第2期114-126,共13页Wuhan University Journal:Philosophy & Social Science

基  金:北京市哲学社会科学基金青年项目(21JJC035)。

摘  要:金融科技具有管理风险的天然属性,在全球金融机构加快推进数字化和金融科技战略背景下,研究中小商业银行基础支行层面应用金融科技化解不良贷款风险的能力,对银行防范化解区域不良贷款风险、改善经营绩效具有重要现实意义。以信息技术人员投入、信息软件和硬件投入为代表的金融科技投入能显著降低不良贷款风险,发挥风险缓释作用,进而明显改善银行业绩,其中信息技术人员投入作用最为显著。金融科技对不良贷款风险缓释作用具有滞后性,金融科技投入、不良贷款风险缓释与经营绩效提升之间存在正反馈机制。上述作用机制在数据治理应用、合规执行和内控执行更好的银行支行表现较为显著。Fintech has a natural attribute of managing risks.Under the background of accelerating promotion of digitalization and fintech strategy among global financial institutions,it is of great practical significance for banks to study the ability of applying fintech to resolve the risk of non-performing loans at the level of basic branches of small and medium-sized commercial banks.Financial technology investment represented by information technology personnel investment as well as information software and hardware investment can reduce the risk of non-performing loans,play a role in risk mitigation and improve bank performance significantly.Among them,the investment of information technology personnel is the most significant.Fintech has a lagging tendency in mitigating the risk of non-performing loans and there exists a positive feedback mechanism between fintech investment,risk mitigation of non-performing loans and improvement of business performance.The above action mechanism is more significant in bank branches with better data governance application,compliance implementation and internal control implementation.

关 键 词:金融科技 不良贷款 风险缓释 合规经营 

分 类 号:F270[经济管理—企业管理]

 

参考文献:

正在载入数据...

 

二级参考文献:

正在载入数据...

 

耦合文献:

正在载入数据...

 

引证文献:

正在载入数据...

 

二级引证文献:

正在载入数据...

 

同被引文献:

正在载入数据...

 

相关期刊文献:

正在载入数据...

相关的主题
相关的作者对象
相关的机构对象