Table 10

Further tests: results concerning critical mass and firm performance moderated by sector growth opportunities. Analysis based on moderating effect

(1)(2)
Model 2
Moderating effect between continuous variables
Robustness moderating effect with dummy high growth sector (median)
Critical mass1.604−3.061***
(2.356)(0.955)
Sector growth opportunities3.044*** 
(0.791) 
Critical mass × sector growth opportunities−6.870*** 
(2.059) 
Dummy high growth −8.194**
 (3.367)
Critical mass × dummy high growth −4.517****
 (1.315)
Age board (log)1.1451.231
(1.303)(1.303)
R&D expenses−17.181***−17.333***
(2.114)(2.115)
Patent expenses−18.366***−18.188***
(3.157)(3.150)
Licensing expenses−9.723−9.628
(5.983)(5.968)
Tangibility5.430***5.265***
(1.300)(1.305)
Cash Holding4.903***4.916***
(1.222)(1.220)
Size0.559***0.561***
(0.175)(0.175)
Long term debt−9.645***−9.583***
(0.796)(0.796)
Age (log)4.004***3.991***
(0.281)(0.279)
Dummy Listing4.469***4.546***
(1.053)(1.056)
Dummy Delisting−25.379***−26.430***
(7.020)(7.554)
Dummy South4.458***4.430***
(0.412)(0.412)
R20.0820.082
Observations12,17312,173

Note(s): For a description of variables, see Table 1. Critical Mass is measured by binary variable with the value of 1 if there is the presence of at least 3 women on the BoD and 0 otherwise. Year and Industry dummies are included in the model although not reported. Robust standard errors are reported in brackets. ***: denotes significance at the 1% level; **: denotes significance at the 5% level; *: denotes significance at the 10% level. The interaction variable “Critical Mass × Sector Growth Opportunities” is the multiplication of the “Critical Mass” and the “Sector Growth Opportunities” variables. The interaction variable “Critical Mass × Dummy High Growth” is the multiplication of the “Critical Mass” and the “Dummy High Growth” variables

Source(s): Authors' own work

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