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Reprint of “The Startup Cartography Project: Measuring and mapping entrepreneurial ecosystems”

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  • Andrews, RJ
  • Fazio, Catherine
  • Guzman, Jorge
  • Liu, Yupeng
  • Stern, Scott

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/.

Suggested Citation

  • Andrews, RJ & Fazio, Catherine & Guzman, Jorge & Liu, Yupeng & Stern, Scott, 2022. "Reprint of “The Startup Cartography Project: Measuring and mapping entrepreneurial ecosystems”," Research Policy, Elsevier, vol. 51(9).
    • Handle: RePEc:eee:respol:v:51:y:2022:i:9:s0048733322001056
    DOI: 10.1016/j.respol.2022.104581
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    3. Feldman, Maryann & Fleming, Lee & Heaton, Sohvi & Desai, Sameeksha & Teece, David, 2022. "Uncommon methods and metrics for local entrepreneurial ecosystems," Research Policy, Elsevier, vol. 51(9).

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