Determinants of optimum firm size – 2021
| Marginal effects (dy/dx) | z-stat | |
|---|---|---|
| Subcontracting with domestic firms | 0.058*** | 5.63 |
| Subcontracting with foreign firms | 0.217*** | 22.87 |
| Sex | 0.041*** | 5.21 |
| Age | 0.027*** | 11.72 |
| Age squared | −0.000*** | −8.55 |
| Manager education level† | ||
| Bachelor’s degree | −0.173*** | −11.54 |
| College degree or less | −0.381*** | −23.18 |
| Short-term education | −0.454*** | −25.28 |
| No certificates | −0.443*** | −24.41 |
| Other | −0.197*** | −12.06 |
| Judiciary system | 0.045*** | 7.07 |
| Ln(district population) | 0.012** | 2.42 |
| No. of obs | 24,155 | |
| Pseudo R2 | 0.091 | |
| LR | 2899.10 | |
| Prob > χ2 | 0.000 | |
| Marginal effects (dy/dx) | ||
|---|---|---|
| Subcontracting with domestic firms | 0.058*** | 5.63 |
| Subcontracting with foreign firms | 0.217*** | 22.87 |
| Sex | 0.041*** | 5.21 |
| Age | 0.027*** | 11.72 |
| Age squared | −0.000*** | −8.55 |
| Bachelor’s degree | −0.173*** | −11.54 |
| College degree or less | −0.381*** | −23.18 |
| Short-term education | −0.454*** | −25.28 |
| No certificates | −0.443*** | −24.41 |
| Other | −0.197*** | −12.06 |
| Judiciary system | 0.045*** | 7.07 |
| Ln(district population) | 0.012** | 2.42 |
| No. of obs | 24,155 | |
| Pseudo | 0.091 | |
| LR | 2899.10 | |
| Prob > | 0.000 | |
Note(s): †Obtaining master’s degree or higher is the reference group
t statistics in parentheses
*p < 0.10, **p < 0.05 and ***p < 0.010
Source(s): Authors’ estimation using EC 2021
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