Table 5.

Ordinary least squares (OLS) regression results of association between RDI and EIS

 EISEISEISEIS
DV=(1)(2)(3)(4)
RDI0.001 (0.03)0.047***(4.25)0.058***(3.60)0.015 (1.07)
ESGS0.673*** (13.54)
RDI × ESGS0.011**(2.25)
FS16.943*** (8.24)16.924*** (6.47)5.242*** (4.23)
LVG−10.202 (−1.55)−9.598 (−1.55)−13.330*** (−4.40)
POV−1.789 (−0.46)−5.496** (−2.25)−3.704** (−2.23)
CH−1.559 (−0.24)4.382*** (3.82)6.882** (1.97)
AT4.083* (1.77)8.370*** (3.55)3.342** (2.48)
AG−2.282*** (−2.62)−1.800* (−1.94)−0.691** (−2.01)
Intercept17.633*** (8.61)−137.781*** (−7.85)−148.521*** (−5.73)−51.518*** (−4.17)
Year fixed effectsNoNoYesYes
Industry fixed effectsNoNoYesYes
R20.0000.2790.4810.574
Obs.1097109710971097
Note(s):

This table presents the main results of the association between RDI and EIS and the moderating effect of ESGS on this association. All models are estimated using ordinary least squares (OLS) regressions with clustered robust standard errors by firm, with t-statistics reported in parentheses. DV = dependent variable. Superscript *, ** and *** indicate significance at 10, 5 and 1% levels, respectively. Table 2 presents the definitions of variables

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