Difference between revisions of "Urban Start-up Agglomeration and Venture Capital Investment"
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|Has paper status=In development | |Has paper status=In development | ||
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| + | ==Summary== | ||
| + | |||
| + | Agglomeration is generally thought to be one of the most important determinants of growth for urban entrepreneurship ecosystems. However, there is essentially no empirical evidence to support this. This paper takes advantage of geocoding and introduces a novel measure of agglomeration. This measure is the smallest circle area that covers all startup offices, subject to having at least N startups in each circle. Using GIS data on cities, this paper controls for the density and socio-demographics of an area to identify the effect of just agglomeration. | ||
| + | |||
| + | ==Data== | ||
| + | |||
| + | *SDC VentureXpert | ||
| + | *GIS City Data | ||
| + | |||
| + | Also: | ||
| + | *[[Enclosing Circle Algorithm]] | ||
| + | *Normalizer | ||
| + | *Geocode.py | ||
Revision as of 21:10, 22 March 2017
| Academic Paper | |
|---|---|
| Title | Urban Start-up Agglomeration |
| Author | Ed Egan |
| RAs | Peter Jalbert, Jake Silberman, Christy Warden |
| Status | In development |
| © edegan.com, 2016 | |
Summary
Agglomeration is generally thought to be one of the most important determinants of growth for urban entrepreneurship ecosystems. However, there is essentially no empirical evidence to support this. This paper takes advantage of geocoding and introduces a novel measure of agglomeration. This measure is the smallest circle area that covers all startup offices, subject to having at least N startups in each circle. Using GIS data on cities, this paper controls for the density and socio-demographics of an area to identify the effect of just agglomeration.
Data
- SDC VentureXpert
- GIS City Data
Also:
- Enclosing Circle Algorithm
- Normalizer
- Geocode.py
