Table 6

Multinomial logit regression results for low-level SDG disclosure

ModelDivMethodDiv0Div50DivYear
VariableCashStockCash–stock
SDG(30.403)***(8.518)(16.804)19.393**(4.754)86.524
8.6070.6851.8826.5850.0212.239
SIZE(1.260)***(0.609)(0.743)**0.632***(1.611)(0.942)
14.6902.4764.2238.1481.2240.577
LEV(0.016)5.1991.947(1.711)(5.506)(8.655)
5x10−51.6560.3450.8250.3760.626
TobinQ(0.440)(2.997)*(0.192)0.405(1.272)(0.402)
1.2683.2570.3011.2420.5020.326
ROA15.312*16.19511.201(13.108)*(1.472)(17.936)
2.9101.6591.0683.2960.0030.437
ROE2.2633.42412.040**(4.123)11.11025.282
0.2650.4553.9391.4310.3331.550
AGE0.081***0.0390.076**(0.065)***(0.033)(0.141)
9.3361.0616.0877.8000.3882.426
BGD(0.045)***(0.034)*(0.035)*0.035***(0.015)0.003
8.1913.1712.9948.4320.1480.005
−2Log-likelihood (Intercept)378.208  204.47729.45229.293
−2Log-likelihood (Final)254.179***  145.702***19.31515.521*
Pseudo R20.328  0.2870.3440.473
Observations151  151151151

Note(s): Significant at *p < 0.10; **p < 0.05; ***p < 0.01; Negative numbers are presented in parentheses; the italicised value below is the Wald value

Source(s): Authors' own work

or Create an Account

Close subscription notice
Close access options