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 | |||
|---|---|---|---|
| Coefficient | z-statistics | p-value | |
| FSIZE | 0.520 | 24.650 | 0.000*** |
| LEV | 0.532 | 3.530 | 0.000*** |
| MB | −0.456 | −11.280 | 0.000*** |
| ROA | −0.191 | −0.600 | 0.550 |
| FIN | −0.341 | −1.530 | 0.125 |
| COMPET | 0.001 | 0.050 | 0.962 |
| GLOBAL | 0.086 | 1.340 | 0.182 |
| LIQUID | 0.128 | 7.430 | 0.000*** |
| LITG | −1.164 | −4.480 | 0.000*** |
| FAGE | 0.525 | 11.990 | 0.000*** |
| CAPEX | −0.119 | −1.020 | 0.306 |
| EM | −0.769 | −2.230 | 0.026** |
| CGOV | 0.104 | 1.060 | 0.290 |
| Year Fixed Effects | Yes | ||
| Industry Fixed Effects | Yes | ||
| Observations | 27,966 | ||
| Pseudo R-squared | 0.239 | ||
| Log likelihood | −5430.25 | ||
| Panel A: PSM first-stage logistic regression results | |||
|---|---|---|---|
| Coefficient | z-statistics | ||
| 0.520 | 24.650 | 0.000*** | |
| 0.532 | 3.530 | 0.000*** | |
| −0.456 | −11.280 | 0.000*** | |
| −0.191 | −0.600 | 0.550 | |
| −0.341 | −1.530 | 0.125 | |
| 0.001 | 0.050 | 0.962 | |
| 0.086 | 1.340 | 0.182 | |
| 0.128 | 7.430 | 0.000*** | |
| −1.164 | −4.480 | 0.000*** | |
| 0.525 | 11.990 | 0.000*** | |
| −0.119 | −1.020 | 0.306 | |
| −0.769 | −2.230 | 0.026** | |
| 0.104 | 1.060 | 0.290 | |
| Year Fixed Effects | Yes | ||
| Industry Fixed Effects | Yes | ||
| Observations | 27,966 | ||
| Pseudo | 0.239 | ||
| Log likelihood | −5430.25 | ||
| Panel B: Mean test between treatment and control samples | |||
|---|---|---|---|
| Treatment | Control | t-test (p-value) | |
| FSIZE | 8.595 | 8.576 | 0.682 |
| LEV | 0.294 | 0.294 | 0.838 |
| MB | 1.631 | 1.647 | 0.511 |
| ROA | 0.040 | 0.039 | 0.899 |
| FIN | 0.009 | 0.009 | 0.983 |
| COMPET | 0.688 | 0.591 | 0.419 |
| GLOBAL | 0.541 | 0.535 | 0.747 |
| LIQUID | 2.422 | 2.414 | 0.886 |
| LITG | 0.116 | 0.119 | 0.803 |
| FAGE | 3.492 | 3.504 | 0.552 |
| CAPEX | 0.125 | 0.122 | 0.711 |
| EM | 0.068 | 0.068 | 0.830 |
| CGOV | 0.551 | 0.547 | 0.658 |
| Panel B: Mean test between treatment and control samples | |||
|---|---|---|---|
| Treatment | Control | ||
| 8.595 | 8.576 | 0.682 | |
| 0.294 | 0.294 | 0.838 | |
| 1.631 | 1.647 | 0.511 | |
| 0.040 | 0.039 | 0.899 | |
| 0.009 | 0.009 | 0.983 | |
| 0.688 | 0.591 | 0.419 | |
| 0.541 | 0.535 | 0.747 | |
| 2.422 | 2.414 | 0.886 | |
| 0.116 | 0.119 | 0.803 | |
| 3.492 | 3.504 | 0.552 | |
| 0.125 | 0.122 | 0.711 | |
| 0.068 | 0.068 | 0.830 | |
| 0.551 | 0.547 | 0.658 | |
| Panel C: Regression results using PSM sample | |
|---|---|
| Dependent variable = CSR_PERFt+1 | |
| Model (1) | |
| SUSTCOM | 0.039*** |
| (3.071) | |
| Constant | −0.056 |
| (−0.944) | |
| Control variables | Yes |
| Year fixed effects | Yes |
| Industry fixed effects | Yes |
| Observations | 3,909 |
| R-squared | 0.200 |
| F-statistic | 8.487*** |
| Panel C: Regression results using PSM sample | |
|---|---|
| Dependent variable = | |
| Model (1) | |
| 0.039*** | |
| (3.071) | |
| Constant | −0.056 |
| (−0.944) | |
| Control variables | Yes |
| Year fixed effects | Yes |
| Industry fixed effects | Yes |
| Observations | 3,909 |
| 0.200 | |
| 8.487*** | |
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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