Difference between revisions of "The Effects of Good and Bad Neighbors on Venture Capital Backed Firms"
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|Has title=The Effects of Good and Bad Neighbors on Venture Capital Backed Firms | |Has title=The Effects of Good and Bad Neighbors on Venture Capital Backed Firms | ||
|Has author=Ed Egan, | |Has author=Ed Egan, | ||
| − | |Has paper status= | + | |Has paper status=Tabled |
|Title=Good and Bad Neighbours | |Title=Good and Bad Neighbours | ||
|Author=Ed Egan, | |Author=Ed Egan, | ||
Latest revision as of 09:54, 18 March 2019
| Academic Paper | |
|---|---|
| Title | The Effects of Good and Bad Neighbors on Venture Capital Backed Firms |
| Author | Ed Egan |
| Status | Tabled |
| © edegan.com, 2016 | |
Summary
Good neighbors engage in open innovation, and don't block startups from using ideas by suing them. Open innovation includes patent licensing and sales (both in and out), engaging in joint ventures, making acquisitions and having spin-offs. This paper uses geocoded data on startups and non-sales offices of publicly traded firms, to estimate whether proximity to good neighbors increases the likelihood of funding and successful exit while proximity to bad neighbors decreases it.
Data
- SDC VentureXpert
- SDC M&A
- SDC Joint Ventures
- Core Patent Data
- Patent Reassignment Data
- CRSP
Also:
- Google Maps API
- Geocoding tool
- SDC Normalizer
Policy implications
This would be important for cities who are looking to enhance their local entrepreneurship ecosystems. A common policy tool is to use property tax abatement (like the 313 programs in Texas) to encourage large corporates to open a branch office in the city. We could reveal who to invite and who to avoid.
