The Startup Cartography Project: Measuring and mapping entrepreneurial ecosystems

Rj Andrews, Catherine Fazio, Jorge Guzman, Yupeng Liu and Scott Stern

Research Policy, 2022, vol. 51, issue 2

Abstract: This paper presents the Startup Cartography Project (SCP), which offers a new set of entrepreneurial ecosystem statistics for the United States from 1988 to 2016. The SCP combines state-level business registration records with a predictive analytics approach to estimate the probability of “extreme” growth (IPO or high-value acquisition) at or near the time of founding for the population of newly-registered firms. The results highlight the ability of predictive analytics to identify high-potential start-ups at founding (using a variety of different approaches and measures). The SCP then leverages estimates of entrepreneurial quality to develop four entrepreneurial ecosystem statistics, including the rate of start-up formation, average entrepreneurial quality, the quality-adjusted quantity of entrepreneurship, and the entrepreneurial ecosystem performance associated with a given start-up “cohort.” These statistics offer sharp insight into patterns of regional entrepreneurship, the correlation of quality (but not quantity) with subsequent regional economic growth and the evolution of entrepreneurial ecosystems over time. The SCP includes both a public-access dataset at the state, MSA, county, and zip code level, as well as an interactive map, the U.S. Startup Map, that allows academic and policy users to assess entrepreneurial ecosystems at an arbitrary level of granularity (from the level of states down to individual street addresses). The SCP and accompanying datasets may be found at: https://www.startupcartography.com/.

Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (8)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0048733321002304
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:respol:v:51:y:2022:i:2:s0048733321002304

DOI: 10.1016/j.respol.2021.104437

Access Statistics for this article

Research Policy is currently edited by M. Bell, B. Martin, W.E. Steinmueller, A. Arora, M. Callon, M. Kenney, S. Kuhlmann, Keun Lee and F. Murray

More articles in Research Policy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().