Measuring High-Growth High-Technology Entrepreneurship Ecosystems

Academic Paper
Title	Measuring High-Growth High-Technology Entrepreneurship Ecosystems
Author	Ed Egan
Status	In development
© edegan.com, 2016

Notice

This paper was broken in two:

• Measuring HGHT Entrepreneurship Ecosystems
• Determinants of Future Investment in U.S. Startup Cities

Instrument for Determinants

I am going to try shocking the number of ESOs using the political party of the incumbent mayor. Data is available from:

• https://libguides.princeton.edu/elections#s-lg-box-10082744
  • https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/SJBWC3
    • FIPS, year (non-continuous -- election years), mayor_party_final (D,R, etc.), month, FIPS_Place_ID, and others... From 1945 to 2014!
      • FIPS is 6 or 7dg (107000 BIRMINGHAM CITY, AL to 5613900 CHEYENNE CITY, WY). FIPS_Place_ID is 4 to 5dg (7000 to 13900)
      • compare with placefp (5dg) 07000 Burmingham, AL and 13900 Cheyenne, WY, or better still GEOID (used in vcdb4) 0107000 Birmingham, AL and 5613900 Cheyenne, WY
• Ballotopia has current mayors for top 100 cities: https://ballotpedia.org/List_of_current_mayors_of_the_top_100_cities_in_the_United_States
• https://doi.org/10.7910/DVN/KFIKH8 -- downloaded mayoralelections_final.tab but it seems a subset of the above
• Could scrape and process https://www.usmayors.org/elections/election-results/ but it doesn't have parties and would need to be geomatched

Research Policy Special Issue

This paper is for a Special Issue of Research Policy, organized by/for the UMM grant cohort. The deadline for submission is Nov 30th, 2019. See: https://www.journals.elsevier.com/research-policy/call-for-papers/uncommon-methods-and-metrics

Examples of questions that papers could address are:

1. What fundamental constructs or elements might constitute a theory or theoretical base for the geographically defined entrepreneurial ecosystem?
2. What are general definitions of entrepreneurial ecosystems so that entrepreneurial ecosystems can be measured in a consistent way across all sectors?
3. What key relationships need to be captured at the entrepreneurial ecosystem level?
4. How should the impact of local entrepreneurial ecosystems on economic growth at the national level be measured?
5. Whose performance (and what) should be measured? Should researchers look at a mix of short- and long-term measures?
6. Do existing rankings for entrepreneurial ecosystems measure what they claim to measure?
7. To what extent are entrepreneurial ecosystems and innovation related?
8. What are the salient levels of analysis (e.g., cultural, institutional, spatial) to consider when analyzing entrepreneurial behavior?How do the characteristics of entrepreneurial ecosystems vary by country?
9. By which mechanisms do entrepreneurial ecosystems get established, mature, decline, or get renewed?
10. What are the trade-offs between attracting entrepreneurs to a city, and solving urban problems such as affordable housing?
11. Under what circumstances could a university be considered an ecosystem, and how does this interact with entrepreneurial ecosystems?What are more finely grained evaluations of the effectiveness of policy instruments that capture connections and ties across entrepreneurial ecosystems?
12. To what extent is government policy accelerating or inhibiting the progress of entrepreneurial ecosystems?

Data and Analysis

The paper will use vcdb4 and US Startup City Ranking, as well as a wealth of old McNair material. Sources include (copied to the project folder unless otherwise noted):

• Hubs: Hubs Data v2_'16.xlsx
• Federal Grant Data, including NIH, NSF and other grant data, especially SBIR/STTR. Possibly also contract data.
• Agglomeration, including the locality indicators, and American Community Survey (ACS) Data
• Market vs. non-Market? E:\mcnair\Projects\Houston\MarketNonMarket
• Location of VCs (foriegn vs. domestic, local vs. not, etc.) E:\mcnair\Projects\Houston\Houston Ecosystem Recommendations\2017ReportV1.xlsx
• Pipeline and raise rate for Houston: E:\mcnair\Projects\Houston\Acc Rank (IB) -- moved to subfolder pipeline
• U.S. Seed Accelerators, and also other source material for Determinants of Seed Accelerator Performance: The Horse, the Jockey, and the Racetrack. Likely just the load of the file to rule them all...
• Incubator Seed Data
• Carnegie Classifications of Institutes of Higher Education (see University Patents). A new public data file was downloaded from http://carnegieclassifications.iu.edu/ and put in the folder (CCIHE2018-PublicData.xlsx).