The effect of EP on PSOC
| DV: PSOC | Model 1 |
|---|---|
| Intercept | −0.288 |
| Control variables | |
| Company size | 0.000 |
| Company age | 0.000* |
| Entrepreneur age | 0.016 |
| Entrepreneur gender | 0.203 |
| Country | |
| Ethiopia | −0.264 |
| Ghana | −0.491* |
| Kenya | −0.326 |
| Sierra Leone | 0.086 |
| Sudan | −0.793** |
| Uganda | −0.196 |
| Industry | |
| Agriculture | 0.181 |
| Construction | 0.305 |
| Energy | 0.185 |
| Financial services | 0.294 |
| Healthcare | −0.108 |
| Hospitality | −1.501 |
| Insurance | 0.657 |
| Manufacturing | −0.147 |
| Real estate | −0.864 |
| Services | −1.014* |
| Independent variable | |
| EP | 0.278*** |
| Adjusted R2 | 0.183 |
| F | 3.300*** |
| DV: PSOC | Model 1 |
|---|---|
| Intercept | −0.288 |
| Company size | 0.000 |
| Company age | 0.000* |
| Entrepreneur age | 0.016 |
| Entrepreneur gender | 0.203 |
| Country | |
| Ethiopia | −0.264 |
| Ghana | −0.491* |
| Kenya | −0.326 |
| Sierra Leone | 0.086 |
| Sudan | −0.793** |
| Uganda | −0.196 |
| Industry | |
| Agriculture | 0.181 |
| Construction | 0.305 |
| Energy | 0.185 |
| Financial services | 0.294 |
| Healthcare | −0.108 |
| Hospitality | −1.501 |
| Insurance | 0.657 |
| Manufacturing | −0.147 |
| Real estate | −0.864 |
| Services | −1.014* |
| EP | 0.278*** |
| Adjusted | 0.183 |
| 3.300*** | |
Note(s): n = 279 (social entrepreneurs); *p < 0.05, **p < 0.01, ***p < 0.001
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