Abstract
Regional determinants of new firm formation are of interest to researchers and policymakers. In the analysis of new firm formation, most studies use econometric approaches that mask intra-unit variations, not recognizing counterbalancing and dilution effects as a result. Recent advances in spatial statistics such as Geographically Weighted Regression (GWR) take local variations into account. However, these approaches operate only on a bivariate level, making it impossible to detect the homogenous parts of the area under examination with regard to a number of relationships between new firm formation and its determinants. Based on a sample of 412 German regions, we apply GWR and subsequent graph-partitioning clustering to identify multi-relationally homogeneous sub-areas. Being that the results suggest a four-cluster solution, ‘one size fits all’ policies and premature unit zoning can be called into question.
| Original language | English |
|---|---|
| Pages (from-to) | 71-93 |
| Number of pages | 23 |
| Journal | Entrepreneurship & Regional Development |
| Volume | 29 |
| Issue number | 1-2 |
| DOIs | |
| Publication status | Published - 2017 |
Fields of science
- 502 Economics
- 502015 Innovation management
JKU Focus areas
- Management and Innovation