Competition and Innovation in the Financial Sector: Evidence from the Rise of FinTech Start-ups

Author:

Caragea Doina,Cojoianu Theodor,Dobri Mihai,Hoepner Andreas,Peia OanaORCID,Romelli Davide

Abstract

AbstractThis paper provides new evidence on the effects of entry on incumbents’ incentives to innovate by examining the rise of FinTech innovations over the period 2000-2016. We employ machine learning algorithms to classify a large sample of patent applications into five types of FinTech innovations. We then show that greater competition from innovators outside the financial sector increases the probability that incumbent financial firms will innovate. Our identification strategy exploits the variation over time in the share of FinTech patent applications by non-financial start-ups relative to incumbent financial firms, as a proxy for competitive pressures from outside the financial industry. We also find that this increased competition results in a higher number of FinTech patent applications by financial incumbents relative to non-financial ones, especially when the FinTech innovations are more important, as proxied by the number of their future patent citations.

Funder

University College Dublin

Publisher

Springer Science and Business Media LLC

Subject

Economics and Econometrics,Finance,Accounting

Reference78 articles.

1. Aaron M, Rivadeneyra F, Sohal S (2017) Fintech: Is this time different? a framework for assessing risks and opportunities for central banks. Tech. rep, Bank of Canada Staff Discussion Paper

2. Abdelgawad L, Kluegl P, Genc E, Falkner S, Hutter F (2019) Optimizing neural networks for patent classification. In: Proc. of ECML-PKDD, vol 16

3. Aghion P, Griffith R (2008) Competition and growth: reconciling theory and evidence. MIT press

4. Aghion P, Howitt P (1992) A model of growth through creative destruction. Econometrica 60(2):323–351

5. Aghion P, Harris C, Howitt P, Vickers J (2001) Competition, imitation and growth with step-by-step innovation. Rev Econ Stud 68(3):467–492

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3