Table 10.

Robustness test: Tobit and nonzero EIS samples

 Tobit modelsNonzero EIS samples
 EISEISEISEIS
DV=(1)(2)(3)(4)
RDI0.056*(1.83)−0.116 (−1.42)0.032**(2.19)−0.159** (−2.58)
ESGS1.534*** (12.98)1.106*** (8.22)
ESGS × RDI0.002**(2.31)0.002***(2.86)
Intercept−416.445*** (−11.98)−147.282*** (−5.20)−174.607*** (−6.01)−32.263 (−1.12)
Other controlsYesYesYesYes
Year fixed effectsYesYesYesYes
Industry fixed effectsYesYesYesYes
Pseudo R2/ R20.1140.1490.4460.564
Obs.10971097461461
Note(s):

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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