Determinants of optimum firm size – 2017
| Marginal effects (dy/dx) | z-stat | |
|---|---|---|
| Subcontracting with domestic firms | 0.028*** | 7.90 |
| Subcontracting with foreign firms | 0.045*** | 6.96 |
| Sex | 0.005** | 2.05 |
| Age | 0.009*** | 10.14 |
| Age squared | −0.000*** | −7.97 |
| Manager education level† | ||
| Bachelor’s degree | −0.037*** | −4.66 |
| College degree or less | −0.081*** | −10.32 |
| Short-term education | −0.094*** | −11.82 |
| No certificates | −0.093*** | −11.74 |
| Other | −0.052*** | −6.04 |
| Judiciary system | 0.011*** | 7.73 |
| Ln(district population) | −0.002 | −1.52 |
| No. of obs | 53,754 | |
| Pseudo R2 | 0.059 | |
| LR | 1,446 | |
| Prob > χ2 | 0.000 | |
| Marginal effects (dy/dx) | ||
|---|---|---|
| Subcontracting with domestic firms | 0.028*** | 7.90 |
| Subcontracting with foreign firms | 0.045*** | 6.96 |
| Sex | 0.005** | 2.05 |
| Age | 0.009*** | 10.14 |
| Age squared | −0.000*** | −7.97 |
| Bachelor’s degree | −0.037*** | −4.66 |
| College degree or less | −0.081*** | −10.32 |
| Short-term education | −0.094*** | −11.82 |
| No certificates | −0.093*** | −11.74 |
| Other | −0.052*** | −6.04 |
| Judiciary system | 0.011*** | 7.73 |
| Ln(district population) | −0.002 | −1.52 |
| No. of obs | 53,754 | |
| Pseudo | 0.059 | |
| LR | 1,446 | |
| 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 2017
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