Financial technology, population aging, and corporate innovation

IF 9.8 1区 经济学 Q1 BUSINESS, FINANCE International Review of Financial Analysis Pub Date : 2025-04-01 Epub Date: 2025-01-25 DOI:10.1016/j.irfa.2025.103956
Jing Guo , Jiaqi Yu , Ziqing Tian
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Abstract

This study uses city-level and enterprise data from 2011 to 2022 as the sample. Under the control of industry and year fixed effects, it employs a two-way fixed effects model to deeply explore the influences of financial technology (fintech),1 population aging, and their interaction on corporate innovation. The research findings indicate that fintech significantly promotes corporate innovation by alleviating financing constraints, while population aging hinders corporate innovation by increasing labor costs, and investment in educational resources can mitigate this negative impact. Furthermore, the study finds that the beneficial effects of fintech on innovation are weakened by aging factors. The research also reveals considerable variation in the effect of fintech on the innovation practices of firms with different management models and scales, and greater impacts are observed for enterprises adopting a dual-role separation model and large enterprises. Additionally, the effects of aging on innovation differ across degrees of digital transformation and enterprise type, with more severe negative impacts noted for enterprises with lower degrees of digital transformation and high-tech enterprises. The research findings provide valuable insights for researchers exploring the intersection of technology and demographic changes.
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金融科技、人口老龄化、企业创新
本研究以2011年至2022年的市级和企业级数据为样本。在行业固定效应和年度固定效应的控制下,采用双向固定效应模型,深入探讨金融科技(fintech)、人口老龄化及其交互作用对企业创新的影响。研究发现,金融科技通过缓解融资约束显著促进企业创新,而人口老龄化通过增加劳动力成本阻碍企业创新,而教育资源的投入可以缓解这种负面影响。此外,研究发现,金融科技对创新的有益作用被老龄化因素削弱。研究还发现,金融科技对不同管理模式和规模企业创新实践的影响存在较大差异,对采用双重角色分离模式的企业和大型企业的影响更大。此外,老龄化对创新的影响在数字化转型程度和企业类型之间存在差异,对数字化转型程度较低的企业和高新技术企业的负面影响更为严重。研究结果为研究人员探索技术与人口变化的交叉点提供了有价值的见解。
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来源期刊
CiteScore
10.30
自引率
9.80%
发文量
366
期刊介绍: The International Review of Financial Analysis (IRFA) is an impartial refereed journal designed to serve as a platform for high-quality financial research. It welcomes a diverse range of financial research topics and maintains an unbiased selection process. While not limited to U.S.-centric subjects, IRFA, as its title suggests, is open to valuable research contributions from around the world.
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