Table 8

Regressions on eco-innovation index in developed and developing countries

 PANEL APANEL B
Variables(1)(2)(1)(2)
GEND0.015*** (0.003)0.020*** (0.003)−0.001 (0.006)0.005 (0.005)
BMEET0.024*** (0.003)0.020*** (0.004)−0.008 (0.006)−0.005 (0.005)
BSIZE−0.007 (0.012)0.029* (0.015)−0.002 (0.017)−0.025 (0.021)
SKILLS−0.009*** (0.002)−0.007*** (0.002)−0.006** (0.003)−0.004 (0.003)
CEO0.113 (0.074)0.106 (0.096)−0.031 (0.143)−0.089 (0.166)
CSR0.939*** (0.090)0.668*** (0.083)0.931*** (0.137)1.041*** (0.125)
EMT0.214** (0.086)0.295*** (0.085)1.063*** (0.134)0.989*** (0.147)
INDEP0.005*** (0.002)0.008*** (0.003)−0.003 (0.003)0.001 (0.004)
SUST_INC0.351*** (0.085)0.280*** (0.070)0.158 (0.161)0.110 (0.132)
ControlsYesYesYesYes
Constant−2.080*** (0.407)−2.299*** (0.459)1.073* (0.638)0.634 (0.616)
Observations977977458458
R-squared0.5920.3590.4620.392
Pooled OLSYesNoYesNo
Random effectsNoYesNoYes
Note(s):

This table provides the estimates of the pooled OLS and random-effect regressions for 2011–2022. The global sample is split into two subsamples of listed insurance companies from developed countries (154 companies) and developing countries (98 companies). The dependent variable of interest is the eco-innovation Index. Variables definitions are provided in Table 3. Robust standard errors (SE) are reported in parentheses. ***p < 0.01; **p < 0.05 and *p < 0.10

Source(s): Authors’ own creation

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