Table 3 The effect of EP and PSOC on EB...

Table 3

The effect of EP and PSOC on EB

DV: EB	Model 1	Model 2	Model 3
Intercept	−0.056	0.034	0.144
Control variables
Company size	0.000	0.000	0.000
Company age	−0.015	−0.018*	−0.017*
Entrepreneur age	0.017	0.013	0.008
Entrepreneur gender	0.058	0.051	0.000
Country
Ethiopia	−0.604	−0.494	−0.434
Ghana	−0.699**	−0.433	−0.323
Kenya	−0.317	−0.178	−0.098
Sierra Leone	−0.284	−0.122	−0.162
Sudan	−0.572	−0.432	−0.201
Uganda	−0.575^*	−0.471	−0.434
Industry
Agriculture	−0.035	0.042	−0.039
Construction	−0.182	−0.290	−0.378
Energy	0.113	0.351	0.277
Financial services	0.507	0.323	0.234
Healthcare	0.057	−0.088	−0.142
Hospitality	0.616	0.540	0.949
Insurance	0.059	0.052	−0.135
Manufacturing	−0.371	−0.347	−0.318
Real estate	1.158	0.935	1.160
Services	0.098	−0.040	0.225
Independent variable
EP		0.236**	0.148
Mediating variable
PSOC			0.270***
Adjusted R²	0.043	0.090	0.145
F	1.516	2.022**	2.635***

DV: EB	Model 1	Model 2	Model 3
Intercept	−0.056	0.034	0.144
Control variables
Company size	0.000	0.000	0.000
Company age	−0.015	−0.018*	−0.017*
Entrepreneur age	0.017	0.013	0.008
Entrepreneur gender	0.058	0.051	0.000
Country
Ethiopia	−0.604	−0.494	−0.434
Ghana	−0.699**	−0.433	−0.323
Kenya	−0.317	−0.178	−0.098
Sierra Leone	−0.284	−0.122	−0.162
Sudan	−0.572	−0.432	−0.201
Uganda	−0.575^*	−0.471	−0.434
Industry
Agriculture	−0.035	0.042	−0.039
Construction	−0.182	−0.290	−0.378
Energy	0.113	0.351	0.277
Financial services	0.507	0.323	0.234
Healthcare	0.057	−0.088	−0.142
Hospitality	0.616	0.540	0.949
Insurance	0.059	0.052	−0.135
Manufacturing	−0.371	−0.347	−0.318
Real estate	1.158	0.935	1.160
Services	0.098	−0.040	0.225
Independent variable
EP		0.236**	0.148
Mediating variable
PSOC			0.270***
Adjusted R²	0.043	0.090	0.145
F	1.516	2.022**	2.635***

Note(s): n = 279(social entrepreneurs); *p < 0.05, **p < 0.01, ***p < 0.001

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