Doina Caragea, Theodor Cojoianu, Mihai Dobri, Andreas Hoepner, Oana Peia, Davide Romelli
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引用次数: 1
Abstract
Abstract This 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.
期刊介绍：
The Journal of Financial Services Research publishes high quality empirical and theoretical research on the demand, supply, regulation, and pricing of financial services. Financial services are broadly defined to include banking, risk management, capital markets, mutual funds, insurance, venture capital, consumer and corporate finance, and the technologies used to produce, distribute, and regulate these services. Macro-financial policy issues, including comparative financial systems, the globalization of financial services, and the impact of these phenomena on economic growth and financial stability, are also within the JFSR’s scope of interest. The Journal seeks to promote research that enriches the profession’s understanding of financial services industries, to elevate industry and product efficiencies, as well as to inform the debate and promote the formulation of sound public policies. Officially cited as: J Financ Serv Res
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