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SSRN Electronic Journal
Article . 2010 . Peer-reviewed
Data sources: Crossref
EconStor
Research . 2010
Data sources: EconStor
MPG.PuRe
Research . 2010
Data sources: MPG.PuRe
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Entry and Incumbent Innovation

Authors: Philipp Weinscheink;

Entry and Incumbent Innovation

Abstract

We explore how the threat of entry influences the innovation activity of an incumbent. We show that the incumbent’s investment is hump-shaped in the entry threat. When the entry threat is small and increases, the incumbent invests more to deter entry, or to make it unlikely. This is due to the entry deterrence effect. However, when the threat becomes huge, entry can no longer profitably be deterred or made unlikely and the investment becomes small. Then the Schumpeterian effect dominates. These results turn out to be very robust. Even though innovations are central to growth, the question whether more competition or a higher threat of entry leads to greater R&D investments is not settled. While we do not try to answer this general question, we seek to explore the more specific question how the threat of entry influences an incumbent’s investments in R&D. We build a simple model that captures two important but counteracting effects. First, a Schumpeterian effect. A larger entry threat reduces the incumbent’s expected profit and therefore also its investment. Second, an entry deterrence effect. 1 To deter entry, or to make entry unlikely, a greater threat requires a larger investment.

Keywords

ddc:330, Potenzieller Wettbewerb, Investition, Markteintritt, Theorie, Innovationswettbewerb

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
bronze