Table 4 Impact of women leadership on process innovation.
From: Leadher: role of women leadership in shaping corporate innovation
Probit Regression Models | ||||
|---|---|---|---|---|
Unit of Observation: Firm-Year | ||||
Dependent Variable: Process Innovation | ||||
Coefficients | Coefficients | Coefficients | Coefficients | |
Independent Variables: | ||||
Female Top Manager | 0.116*** | |||
(4.64) | ||||
Female Manager*Experience | 0.004*** | |||
(3.05) | ||||
Female Owner | 0.161*** | |||
(7.89) | ||||
Female Owner and Manager | 0.085*** | |||
(2.95) | ||||
Control Variables: | ||||
Firm Size (Medium) | 0.102*** | 0.101*** | 0.104*** | 0.102*** |
(5.11) | (5.05) | (5.20) | (5.12) | |
Firm Size (Large) | 0.299*** | 0.299*** | 0.303*** | 0.301*** |
(12.19) | (12.20) | (12.36) | (12.28) | |
Legal Status (Partnership) | 0.096*** | 0.095*** | 0.070*** | 0.094*** |
(3.67) | (3.63) | (2.67) | (3.61) | |
Legal Status (Company) | 0.322*** | 0.323*** | 0.287*** | 0.323*** |
(14.89) | (14.91) | (12.91) | (14.92) | |
Ownership (Foreign) | 0.154*** | 0.154*** | 0.171*** | 0.155*** |
(3.39) | (3.40) | (3.76) | (3.42) | |
Ownership (Government) | 0.115*** | 0.118*** | 0.109*** | 0.115*** |
(2.92) | (2.99) | (2.76) | (2.92) | |
Firm Age | 0.001* | 0.001** | 0.001** | 0.001* |
(1.66) | (1.94) | (2.10) | (1.77) | |
Year Control | Yes | Yes | Yes | Yes |
Total Observations | 23,340 | 23,340 | 23,340 | 23,340 |
L.R. Chi-Square | 2326.10 | 2313.83 | 2366.75 | 2313.26 |
Prob. > Chi-Square | 0.000 | 0.000 | 0.000 | 0.000 |
Pseudo R-Square | 0.074 | 0.074 | 0.075 | 0.074 |
Likelihood (Log) | −14521.64 | −14527.78 | −14501.32 | −14528.06 |
Hausman Statistics | 2.11 | 1.74 | 1.09 | 2.45 |
P-Value | 0.132 | 0.158 | 0.191 | 0.213 |
