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Evolving localization patterns of company foundationsEvidence from the German MST-industry

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Abstract

We investigate company foundations in the German micro technology industry by means of a spatial-temporal micro-geographic analysis. In order to deal with our unusually detailed data, we develop a new distance-based framework for a logistic regression that is able to present results in a continuous space. Locations of company foundations are investigated with respect to their spatial proximity to similar firms, patent owners, related industries and research institutions and are benchmarked with the overall distribution of company foundations in Germany. We demonstrate that spatial proximity has a clear influence on where new companies are founded. Furthermore, the influence of proximity to different agents is not constant over times but evolves with the industry’s life cycle.

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Notes

  1. Concerning our empirical investigation, we restrict the analysis to 199 research institutions, identified by IVAM-Research as being relevant actors in the German MST industry. For more details, refer to section 4.

  2. For an exhaustive review, see Boschma (2005).

  3. For a detailed analysis of the MAUP, see Openshaw, S. (1984)

  4. By the term “test-statistics” we refer to statistical methods that are in first line index based tests (for instance, Student’s t-test).

  5. For other industrial sectors, teleworking and home-office may play a more important role. However, this is less pronounced in high-tech manufacturing (e.g Hotopp 2002, Pérez et al. 2004).

  6. Firms founded before 1991

  7. The mentioned industries were selected due to their technology overlap with the MST industry.

  8. We tested a 0 km, 5 km and 10 km threshold

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Scholl, T., Brenner, T. & Wendel, M. Evolving localization patterns of company foundationsEvidence from the German MST-industry. J Evol Econ 26, 1067–1087 (2016). https://doi.org/10.1007/s00191-016-0475-3

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