摘要
新质生产力是推动新旧动能转换、引领高质量发展的关键动力。在新质生产力的培育阶段,金融力量必不可少。其中,金融科技作为银行数字化运营的新兴手段,其对传统金融体系的改善能够有效提升金融服务效率,赋能企业新质生产力发展。基于此,本文以2012—2022年我国商业银行和上市企业为研究对象,创新性地利用深度学习算法捕捉银行专利文本语义及语义相似度来测算金融科技指数,并使用三阶段SP-DEA动态分析模型构建企业新质生产力指标,实证考察了银行金融科技对企业新质生产力的影响。研究结果表明:银行金融科技应用显著推动了借款企业形成新质生产力,具体表现为关键技术突破和绿色低碳转型。机制分析表明:金融科技通过信贷配置优化、人力资源匹配和绿色偏好激励来提升企业新质生产力。异质性分析发现,在中小民营企业、管理层具有环保经历和金融背景的企业,以及在金融监管强度较高和新质发展动力较强的地区,金融科技对企业新质生产力的赋能力度更大。进一步检验发现,金融科技对企业新质生产力的赋能作用是实现企业高质量发展的关键路径,不仅有助于提升企业全要素生产率,还能够增强产业链供应链韧性。
New quality productivity is the key driving force behind the transformation from traditional to modern economic drivers and foundation of high-quality development.In the cultivation stage of new quality productivity,financial support is essential.Among them,financial technology,as a new means of digital banking operation,can effectively improve the efficiency of financial services and empower enterprises to achieve new quality productivity.Based on this,this paper takes commercial banks and listed companies in China from 2012 to 2022 as the research object,and innovatively applies deep learning algorithms to capture the semantic content and similarity of bank patent text to measure the financial technology index,and uses a three-stage SP-DEA dynamic analysis model to construct enterprise new quality productivity indicators.By establishing the bank-enterprise credit relationship,it empirically examines the impact of bank financial technology on enterprise new quality productivity.The research results show that bank financial technology has significantly promoted the formation of new quality productivity among borrowing firms,which is manifested in key technological breakthroughs and green and low-carbon transformation.Mechanism analysis shows that financial technology enhances enterprise-level productivity improvements through credit allocation optimization,human resources matching and green preference incentives.Heterogeneity analysis shows that in small and medium-sized private enterprises,enterprises with environmental protection experience and financial backgrounds in management,and in regions with strong financial supervision and strong momentum for developing new quality productivity,financial science and technology has a greater power to empower the new quality productivity of enterprises.The economic consequences test shows that the role of financial technology in enhancing enterprise-level productivity improvements is a key path towards realizing the high-quality development of enterprises,which not only helps to improve the total factor productivity of enterprises,but also can enhance the resilience of the supply chain industry chain.This paper provides a new research perspective for comprehensively evaluating the new quality productivity of enterprises,and provides new empirical evidence for financial technology to empower new quality productivity and its internal logic from the perspective of bank financial technology.
作者
陈东晖
于学伟
胡丽宁
Chen Donghui;Yu Xuewei;Hu Lining(School of Economics and Management,Wuhan University;School of Finance,Tianjin University of Finance and Economics;School of Economics,Tianjin University of Commerce)
出处
《国际金融研究》
北大核心
2025年第7期51-62,共12页
Studies of International Finance
基金
国家社会科学基金后期资助项目“金融科技、银行信贷资源配置与实体经济高质量发展研究”(23FJYB033)
教育部人文社会科学研究青年基金项目“经济政策不确定性、混频高维关联与金融市场尾部风险传染效应研究”(23YJC790038)资助。
