Table 6.
Regression analysis
| Full sample n = 241 | Full sample with control variables | |||||
|---|---|---|---|---|---|---|
| Model 1 | Model 2a | Model 3a | Model 4 | Model 5b | Model 6b | |
| Geographical proximity | 0.016 (0.016) | 0.016 (0.016) | 0.015 (0.016) | 0.012 (0.016) | ||
| Professional network | 0.070*** (0.022) | 0.070*** (0.022) | 0.057* (0.024) | 0.055* (0.024) | ||
| Product or service | − 0.168* (0.067) | − 0.107 (0.072) | − 0.110 (0.073) | |||
| Product/service differentiation | 0.015 (0.073) | − 0.032 (0.074) | − 0.026 (0.074) | |||
| Pricing | − 0.095 (0.100) | − 0.127 (0.100) | − 0.128 (0.101) | |||
| Product/service quality | 0.044 (0.115) | 0.084 (0.114) | 0.080 (0.115) | |||
| Constant | − 0.065 (0.217) | − 0.472* (0.203) | − 0.663 (0.282) | 0.713 (0.606) | 0.232 (0.639) | 0.111 (0.663) |
| Adjusted R square | 0.000 | 0.042 | 0.042 | 0.019 | 0.042 | 0.039 |
Dependent variable: firm growth 2014–2016; unstandardised coefficient betas and standard errors (between parentheses)
aThe model is signifcant on the ***-level
bThe model is significant on the *-level
*p < 0.05, **p < 0.01, ***p < 0.005