Table 8

Results concerning the effect of Women on Board on firm performance moderated by sector growth opportunities. Analysis based on moderating effect

(1)
Model [2]
(2)
Robustness
Moderating effect between continuous variablesModerating effect with dummy high growth sector (median)
Women on board3.4440.123
(4.384)(1.745)
Sector growth opportunities3.512*** 
(0.806) 
Women on board × sector growth opportunities−7.467** 
(continuous variable of growth)(3.778) 
Dummy high growth −7.374**
 (3.314)
Women on board × dummy high growth −7.044***
(dummy variable of growth) (2.205)
Age board (log)1.5391.646
(1.301)(1.302)
R&D expenses−17.193***−17.184***
(2.110)(2.108)
Patent expenses−18.414***−18.254***
(3.184)(3.182)
Licensing expenses−9.680−9.503
(6.030)(6.008)
Tangibility5.878***5.674***
(1.307)(1.312)
Cash Holding4.832***4.844***
(1.225)(1.224)
Size0.397**0.389**
(0.177)(0.176)
Long term debt−9.449***−9.425***
(0.799)(0.799)
Age (log)4.092***4.067***
(0.282)(0.282)
Dummy Listing1.820*1.834**
(0.931)(0.931)
Dummy Delisting−27.120***−26.953***
(7.208)(7.327)
Dummy South4.512***4.498***
(0.414)(0.414)
R20.0790.079
Observations12,17312,173

Note(s): For a description of variables, see Table 1. 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 “Women on Board × Sector Growth Opportunities” is the multiplication of the “Women on Board” and the “Sector Growth Opportunities” variables. The interaction variable “Women on Board × Dummy High Growth” is the multiplication of the “Women on Board” and the “Dummy High Growth” variables

Source(s): Authors' own work

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