Robustness test: Tobit and nonzero EIS samples
| Tobit models | Nonzero EIS samples | |||
|---|---|---|---|---|
| EIS | EIS | EIS | EIS | |
| DV= | (1) | (2) | (3) | (4) |
| RDI | 0.056*(1.83) | −0.116 (−1.42) | 0.032**(2.19) | −0.159** (−2.58) |
| ESGS | 1.534*** (12.98) | 1.106*** (8.22) | ||
| ESGS × RDI | 0.002**(2.31) | 0.002***(2.86) | ||
| Intercept | −416.445*** (−11.98) | −147.282*** (−5.20) | −174.607*** (−6.01) | −32.263 (−1.12) |
| Other controls | Yes | Yes | Yes | Yes |
| Year fixed effects | Yes | Yes | Yes | Yes |
| Industry fixed effects | Yes | Yes | Yes | Yes |
| Pseudo R2/ R2 | 0.114 | 0.149 | 0.446 | 0.564 |
| Obs. | 1097 | 1097 | 461 | 461 |
| Tobit models | Nonzero | |||
|---|---|---|---|---|
| DV= | (1) | (2) | (3) | (4) |
| −0.116 (−1.42) | −0.159 | |||
| 1.534 | 1.106 | |||
| Intercept | −416.445 | −147.282 | −174.607 | −32.263 (−1.12) |
| Other controls | Yes | Yes | Yes | Yes |
| Year fixed effects | Yes | Yes | Yes | Yes |
| Industry fixed effects | Yes | Yes | Yes | Yes |
| 0.114 | 0.149 | 0.446 | 0.564 | |
| Obs. | 1097 | 1097 | 461 | 461 |
This table reports robustness tests addressing the high concentration of zero observations in EIS. Models (1) and (2) employ Tobit regression with left-censoring at zero, while Models (3) and (4) are estimated using only observations with positive EIS values (non-zero EIS subsample). All models include clustered robust standard errors at the firm level, as well as year and industry fixed effects. DV = dependent variable. The t-statistics are reported in parentheses. Superscripts *, **, and *** indicate statistical significance at the 10, 5 and 1% levels, respectively. Table 2 provides variable definitions
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