1 option
Innovation and the Enforceability of Noncompete Agreements / Matthew S. Johnson, Michael Lipsitz, Alison Pei.
- Format:
- Book
- Author/Creator:
- Johnson, Matthew S.
- Series:
- Working Paper Series (National Bureau of Economic Research) no. w31487.
- NBER working paper series no. w31487
- Language:
- English
- Physical Description:
- 1 online resource: illustrations (black and white);
- Place of Publication:
- Cambridge, Mass. National Bureau of Economic Research 2023.
- Summary:
- Worker mobility across firms can enhance innovation by spreading knowledge, but such mobility may also hinder innovation by making firms reluctant to invest in R&D. A common way that firms limit workers' mobility is with noncompete agreements (NCAs). We examine how the legal enforceability of NCAs affects innovation, as measured by patenting, using data on every state-level NCA enforceability change between 1991-2014. We find that making NCAs easier to enforce ("stricter" enforceability) substantially reduces the rate of patenting: an average-sized increase in NCA enforceability leads a state to have 16-19% fewer citation-weighted patents over the following 10 years. This effect reflects a true loss in innovation rather than a reduction in useless or strategic patents. We then reconcile these findings with contrasting theoretical predictions. Stricter NCA enforceability reduces job mobility and new business formation in innovative industries, suggesting slower knowledge spread. Within publicly-traded firms, stricter NCA enforceability increases investment, but still leads to less innovation, suggesting that any gains from enhanced incentives to invest are more than offset by other ways that NCAs slow down innovation. Finally, using variation in technology classes' exposure to NCA enforceability changes, we show that the economy-wide losses to innovation from strict enforceability are even larger than what our state-level estimates imply.
- Notes:
- Print version record
- July 2023.
The Penn Libraries is committed to describing library materials using current, accurate, and responsible language. If you discover outdated or inaccurate language, please fill out this feedback form to report it and suggest alternative language.