Table 3.
Binary logistic regression results for business expansion
| Do you intend to further expand your existing business activity in the Greek territory? | ||
|---|---|---|
| Yes | No (base category) | |
| ‘First-nature’ geography | ||
| Sea access | 1.065 | |
| Natural resources | 0.927 | |
| Natural environment | 0.975 | |
| ‘Second-nature’ geography | ||
| Proximity to competitors | 0.866*** | |
| Proximity to the capital | 1.087 | |
| Country location | 1.152*** | |
| Institutions | ||
| Corruption | 1.162 | |
| Local governance | 0.975 | |
| Controls | ||
| Tax policy | 0.902 | |
| Infrastructure | 0.874* | |
| Domestic | Base | |
| Foreign | 0.963 | |
| Manufacturing | Base | |
| Services | 0.841 | |
| Very small firm | Base | |
| Small firm | 0.910 | |
| Medium firm | 2.070** | |
| Large firm | 2.104 | |
| Number of Establishments = 1 | Base | |
| Number of Establishments > 1 | 2.540*** | |
| Constant | 1.541 | |
| Observations | 557 | |
| Wald chi2 | 59.42 | |
| Prob > chi2 | 0.0000 | |
| Pseudo R2 | 0.0899 | |
| Log likelihood | − 348.298 | |
*p < 0.10; **p < 0.05; ***p < 0.01