Industry structure, entrepreneurship, and culture: An empirical analysis using historical coalfields

By Michael Stuetzer, M. Obschonka, David B. Audretsch, Michael Wyrwich, Peter J. Rentfrow, Mike Coombes, L. Shaw-Taylor, M. Satchell. 2016

198 citations recorded by the source corpus.

There is mounting evidence demonstrating that entrepreneurship is spatially clustered and that these spatial differences are quite persistent over long periods of time. However, especially the sources of that persistence are not yet well-understood, and it is largely unclear whether persistent differences in entrepreneurship are reflected in differences in entrepreneurship culture across space as it is often argued in the literature. We approach the cluster phenomenon by theorizing that a historically high regional presence of large-scale firms negatively affects entrepreneurship, due to low levels of human capital and entrepreneurial skills, fewer opportunities for entry and entrepreneurship inhibiting formal and informal institutions. These effects can become self-perpetuating over time, ultimately resulting in persistent low levels of entrepreneurship activity and entrepreneurship culture. Using data from Great Britain, we analyze this long-term imprinting effect by using the distance to coalfields as an exogenous instrument for the regional presence of large-scale industries. IV regressions show that British regions with high employment shares of large-scale industries in the 19th century, due to spatial proximity to coalfields, have lower entrepreneurship rates and weaker entrepreneurship culture today. We control for an array of competing hypotheses like agglomeration forces, the regional knowledge stock, climate, and soil quality. Our main results are robust with respect to inclusion of these control variables and various other modifications which demonstrates the credibility of our empirical identification strategy. A mediation analysis reveals that a substantial part of the impact of large-scale industries on entrepreneurship is through human capital.

Subfields: Economics and Econometrics, Management of Technology and Innovation

View Paper: https://www.semanticscholar.org/paper/7d42df5b5d4f678a2d40b7a49ea3df40c27bf0d9

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Economics and Econometrics

  1. Michael Fritsch
  2. David B. Audretsch
  3. Michael Stuetzer
  4. Michael Wyrwich
  5. M. Obschonka
  6. Rolf Sternberg
  7. Peter J. Rentfrow
  8. Huiwen Gong

In Management of Technology and Innovation

  1. Michael Stuetzer
  2. David B. Audretsch
  3. Michael Wyrwich
  4. M. Obschonka
  5. Michael Fritsch
  6. Rolf Sternberg
  7. Peter J. Rentfrow
  8. R. Hassink

Citations in the corpus