Table 3 Impact of women leadership on product innovation.
From: Leadher: role of women leadership in shaping corporate innovation
Probit Regression Models | ||||
|---|---|---|---|---|
Unit of Observation: Firm-Year | ||||
Dependent Variable: Product innovation | ||||
Coefficients | Coefficients | Coefficients | Coefficients | |
Independent Variables: | ||||
Female Top Manager | 0.172*** | |||
(6.94) | ||||
Female Manager*Experience | 0.008*** | |||
(6.06) | ||||
Female Owner | 0.185*** | |||
(9.11) | ||||
Female Owner and Manager | 0.168*** | |||
(5.89) | ||||
Control Variables: | ||||
Firm Size (Medium) | 0.135*** | 0.134*** | 0.136*** | 0.137*** |
(6.80) | (6.74) | (6.84) | (6.89) | |
Firm Size (Large) | 0.244*** | 0.245*** | 0.248*** | 0.249*** |
(9.94) | (9.98) | (10.12) | (10.15) | |
Legal Status (Partnership) | 0.080*** | 0.081*** | 0.110*** | 0.082*** |
(3.03) | (3.09) | (4.14) | (3.11) | |
Legal Status (Company) | 0.287*** | 0.285*** | 0.247*** | 0.286*** |
(13.42) | (13.34) | (11.27) | (13.38) | |
Ownership (Foreign) | 0.374*** | 0.376*** | 0.391*** | 0.377*** |
(8.07) | (8.12) | (8.43) | (8.13) | |
Ownership (Government) | 0.185*** | 0.190*** | 0.178*** | 0.184*** |
(4.73) | (4.85) | (4.55) | (4.71) | |
Firm Age | 0.001 | 0.001 | 0.001 | 0.001 |
(1.14) | (0.67) | (0.56) | (1.02) | |
Year Control | Yes | Yes | Yes | Yes |
Total Observations | 23,340 | 23,340 | 23,340 | 23,340 |
L.R. Chi-Square | 2561.43 | 2549.97 | 2596.22 | 2547.86 |
Prob. > Chi-Square | 0.000 | 0.000 | 0.000 | 0.000 |
Pseudo R-Square | 0.081 | 0.080 | 0.082 | 0.080 |
Likelihood (Log) | −14626.01 | −14631.74 | −14608.61 | −14632.79 |
Hausman Statistics | 1.23 | 0.89 | 2.34 | 1.56 |
P-Value | 0.145 | 0.182 | 0.127 | 0.132 |
