Production function: Output
| (1) | (2) | (3) | |
|---|---|---|---|
| Variables | Model 1 | Model 2 | Model 3 |
| Education level (secondary) | −0.600 (−0.558) | −0.865 (−0.770) | −1.010 (−0.869) |
| Years spent in Italy | −0.0599 (−0.508) | −0.0910 (−0.771) | −0.107 (−0.916) |
| Sex of the owner (female) | −1.527* (−1.540) | −1.690* (−1.633) | −1.478 (−1.410) |
| Number of employees | 0.763*** (2.467) | 0.835*** (2.537) | 0.847*** (2.551) |
| Hours worked per day | 0.683** (1.907) | 0.576** (1.912) | 0.790*** (2.106) |
| Days worked per week | −1.414 (−1.338) | −1.552* (−1.472) | −1.851* (−1.645) |
| Total social capital (categorical) | |||
| At least 1 (business or relational) | 1.662** (1.725) | ||
| At least 2 (business and relational) | 4.285** (1.821) | ||
| Business social capital | 2.496*** (2.143) | ||
| Relational social capital | 1.149 (1.095) | 1.003 (0.949) | |
| Business social capital (Italy) | 2.238** (1.936) | ||
| Business social capital (China) | 3.586** (1.684) | ||
| Constant | 0.00486 (0.000766) | 2.635 (0.393) | 1.950 (0.293) |
| Observations | 68 | 68 | 68 |
| Pesudo R-squared | 0.277 | 0.290 | 0.324 |
| Log Lik | −21.75 | −21.38 | −20.34 |
| Prob > chi2 | 0.0335 | 0.0258 | 0.0212 |
| (1) | (2) | (3) | |
|---|---|---|---|
| Variables | Model 1 | Model 2 | Model 3 |
| Education level (secondary) | −0.600 (−0.558) | −0.865 (−0.770) | −1.010 (−0.869) |
| Years spent in Italy | −0.0599 (−0.508) | −0.0910 (−0.771) | −0.107 (−0.916) |
| Sex of the owner (female) | −1.527* (−1.540) | −1.690* (−1.633) | −1.478 (−1.410) |
| Number of employees | 0.763*** (2.467) | 0.835*** (2.537) | 0.847*** (2.551) |
| Hours worked per day | 0.683** (1.907) | 0.576** (1.912) | 0.790*** (2.106) |
| Days worked per week | −1.414 (−1.338) | −1.552* (−1.472) | −1.851* (−1.645) |
| Total social capital (categorical) | |||
| At least 1 (business or relational) | 1.662** (1.725) | ||
| At least 2 (business and relational) | 4.285** (1.821) | ||
| Business social capital | 2.496*** (2.143) | ||
| Relational social capital | 1.149 (1.095) | 1.003 (0.949) | |
| Business social capital (Italy) | 2.238** (1.936) | ||
| Business social capital (China) | 3.586** (1.684) | ||
| Constant | 0.00486 (0.000766) | 2.635 (0.393) | 1.950 (0.293) |
| Observations | 68 | 68 | 68 |
| Pesudo | 0.277 | 0.290 | 0.324 |
| Log Lik | −21.75 | −21.38 | −20.34 |
| Prob > chi2 | 0.0335 | 0.0258 | 0.0212 |
Notes:
Table 2 presents the estimated coefficients of the logit regression and the corresponding z-statistics in parentheses. The dependent variable is “Enterprise’s output”, assuming values equal to one when the enterprises registered a stable/positive outcome and zero if a negative one. Significance of coefficients is noted with star (*), namely, ***p < 0.05, **p < 0.1, * p< 0.15
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