Table 7

Propensity score matching (PSM) regression results of association between presence of a sustainability committee and CSR performance

Panel A: PSM first-stage logistic regression results
Coefficientz-statisticsp-value
FSIZE0.52024.6500.000***
LEV0.5323.5300.000***
MB−0.456−11.2800.000***
ROA−0.191−0.6000.550
FIN−0.341−1.5300.125
COMPET0.0010.0500.962
GLOBAL0.0861.3400.182
LIQUID0.1287.4300.000***
LITG−1.164−4.4800.000***
FAGE0.52511.9900.000***
CAPEX−0.119−1.0200.306
EM−0.769−2.2300.026**
CGOV0.1041.0600.290
Year Fixed Effects Yes 
Industry Fixed Effects Yes 
Observations 27,966 
Pseudo R-squared 0.239 
Log likelihood −5430.25 
Panel B: Mean test between treatment and control samples
TreatmentControlt-test (p-value)
FSIZE8.5958.5760.682
LEV0.2940.2940.838
MB1.6311.6470.511
ROA0.0400.0390.899
FIN0.0090.0090.983
COMPET0.6880.5910.419
GLOBAL0.5410.5350.747
LIQUID2.4222.4140.886
LITG0.1160.1190.803
FAGE3.4923.5040.552
CAPEX0.1250.1220.711
EM0.0680.0680.830
CGOV0.5510.5470.658
Panel C: Regression results using PSM sample
Dependent variable = CSR_PERFt+1
Model (1)
SUSTCOM0.039***
(3.071)
Constant−0.056
(−0.944)
Control variablesYes
Year fixed effectsYes
Industry fixed effectsYes
Observations3,909
R-squared0.200
F-statistic8.487***

Note(s): This table shows the propensity score matching (PSM) regression results. Panel A shows the first-stage logistics regression results. Panel B shows the mean-test between treatment and control sample. Panel C shows regression results using PSM sample. The numbers in parentheses are t-statistics. All variables are defined in  Appendix

***, ** and * represent statistical significance at the 1%, 5% and 10% levels, respectively

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