影响国家金融科技的因素:欧洲分析

Loris Di Nallo, Annapaola Micheli, Nicolo’ Giangrande
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摘要

目的--金融科技代表了与企业如何改善金融服务的流程、交付和使用相关的所有创新,它并不仅仅是一种技术现象。考虑到金融和技术领域的各种创新需要使用解释性指数,这项工作的目的是对影响欧洲国家采用金融科技程度的因素进行分析。最终样本由 28 个欧洲国家组成,这些国家拥有分析中所需的所有变量。具体而言,金融科技水平由 Findexable 开发的全球金融科技指数衡量,而影响金融科技的因素则来自国际货币基金组织(IMF)的数据集:结论-- 关于 2021 年的分析,我们的结果初步表明,金融科技受到自动取款机数量、商业银行分支机构数量的负面影响,而商业银行未偿存款和商业银行未偿贷款的强度较低。结论--我们的模型结果表明,在地理层面上,金融科技的程度似乎与银行业相关的解释变量有关。这对学术界、从业人员和政策制定者都是有用的信息。事实上,根据文献记载,金融科技对金融体系和金融稳定性有影响。因此,对金融科技现象的解释及其测量是一个关键点。未来的研究延伸可以考虑对金融科技进行更多衡量,并关注最具代表性的解释变量:金融科技、金融体系、银行、银行业、数字化。JEL Codes:G20, G29, 030
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Factors affecting country fintech: an European analysis
Purpose- FinTech represents all innovation related to how businesses seek to improve the process, delivery, and use of financial services and it is not a mere technological phenomenon. Considering that the various innovations in the financial and technological fields require the use of explanatory indices, the aim of this work is to propose an analysis of the factors that influence the degree of adoption of Fintech in the European countries. Methodology- We use a correlation model in order to highlight the first results on the relationship between the degree of Fintech at a geographical level and some explanatory variables. The final sample consists of 28 European countries that have all variables requested in the analyisis. Specifically, the level of Fintech is measured by The Global Fintech Index developed by Findexable, while the factors that influence the Fintech come from dataset of International Monetary Fund (IMF): the number of ATMs, number of commercial bank branches, while the intensity of outstanding deposits with commercial banks and outstanding loans from commercial banks is lower Findings- Regarding the analysis of the year 2021, our result indicates preliminarily that Fintech is negatively affected by the number of ATMs, number of commercial bank branches, while the intensity of outstanding deposits with commercial banks and outstanding loans from commercial banks is lower. This findings are consistent with this assumption: one of the driver of the Fintech is the digitalization. Conclusion- The result of our model indicates that the degree of Fintech at a geographical leve seems to be linked to explanatory variables that are related to the banking world. This represents a useful information to academic, practitioners and policymakers. In fact, according to literature, Fintech has an effect on financial system and financial stability. Therefore the explanation of Fintech phenomenon and its measurement represent a crucial point. Future extensions of research could consider additional measures of Fintech and a focus on the most representative explanatory variables. Keywords: Fintech, financial system, banks, banking, digitalization. JEL Codes: G20, G29, 030
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