Table 4

Matrix correlation

[1][2][3][4][5]
[1]CEO_RU1.000    
[2]RNDTA0.083*1.000   
 (0.091)    
[3]AGE−0.187***−0.0471.000  
 (0.000)(0.343)   
[4]BIG40.0190.016−0.0591.000 
 (0.697)(0.750)(0.234)  
[5]FSIZE0.0350.113**0.0460.231***1.000
 (0.481)(0.022)(0.354)(0.000) 
[6]FAGE−0.0540.109**0.168***0.090*0.173***
 (0.272)(0.027)(0.001)(0.069)(0.000)
[7]TANG−0.133***0.0200.033−0.002−0.053
 (0.007)(0.680)(0.507)(0.960)(0.281)
[8]ROE−0.085*0.206***0.0550.0460.114**
 (0.083)(0.000)(0.268)(0.350)(0.020)
[9]CASHEQ0.065−0.016−0.107**−0.048−0.069
 (0.186)(0.746)(0.030)(0.331)(0.160)
[10]SCORE−0.160***−0.0780.143***−0.126**−0.058
 (0.001)(0.112)(0.004)(0.011)(0.240)
[11]GDP−0.154***0.061−0.083*−0.169***−0.080
 (0.002)(0.217)(0.090)(0.001)(0.105)
[6][7][8][9][10][11]
[6]FAGE1.000     
[7]TANG−0.144***1.000    
 (0.003)     
[8]ROE0.0640.0631.000   
 (0.195)(0.200)    
[9]CASHEQ−0.089*−0.113**0.0781.000  
 (0.070)(0.022)(0.115)   
[10]SCORE0.0490.226***−0.0080.0521.000 
 (0.318)(0.000)(0.869)(0.295)  
[11]GDP0.0330.127**0.0770.0740.228***1.000
 (0.509)(0.010)(0.120)(0.135)(0.000) 

Note(s): p-values are given in parentheses

*p < 0.1, **p < 0.05, ***p < 0.01

Source(s): Authors’ own work

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