Caught In The Middle: The Bias Against Startup Innovation With Technical And Commercial Challenges

Ashish Arora (), Andrea Fosfuri and Thomas Roende

No 29654, NBER Working Papers from National Bureau of Economic Research, Inc

Abstract: Startups in IT and life sciences appear to be flourishing. However, startups in other sectors, such as new materials, automation, and eco-innovations, which are often called "deep tech", seem to struggle. We argue that innovations with both technical and commercial challenges, typical of deep tech innovations, are especially disadvantaged in a startup-based innovation system. We develop an analytical model where startups are more efficient at solving technical challenges and incumbents are more efficient at solving commercial challenges. We find that the startup-based system works better for "specialized" innovations, where only one type of challenges is significant. Startups which face both technical and commercial challenges are disadvantaged because they capture a smaller fraction of the value they create. We discuss the implications for various public policies that have been proposed to encourage deep-tech.

JEL-codes: L26 O31 Q55 (search for similar items in EconPapers)
Date: 2022-01
New Economics Papers: this item is included in nep-ent, nep-ino, nep-sbm and nep-tid
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Citations: View citations in EconPapers (3)

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