Table 10.

Regression with Heckman two stage estimation model

Dependent variableFirst stageSecond stage
(1)(2)(3)(4)(5)
GreenMetric dummySI – Setting and infrastructureEC – Energy and climate changeWS – WasteWR – WaterTR – Transport
GreenMetric rankingt-1 130.4*** (17.18)157.0*** (23.06)129.5*** (26.58)90.90*** (11.07)185.5*** (22.00)
Imitative behaviour4.290*** (0.722)
IMR−102.5*** (26.14)−101.9*** (35.08)−172.3*** (40.44)−55.19*** (16.84)−108.4*** (33.48)
Sizet-10.0351** (0.0139)−4.738 (6.748)2.357 (9.058)0.987 (10.44)−6.463 (4.347)3.780 (8.644)
STEM-faculty ratiot-14.319*** (1.466)−236.6 (673.2)−572.2 (903.7)−151.2 (1,042)−102.1 (433.7)−220.5 (862.4)
Tuitiont-10.000919 (0.129)−18.04 (34.51)7.504 (46.33)4.122 (53.41)10.50 (22.23)−0.716 (44.22)
THE dummyt-10.587** (0.298)49.01 (37.97)108.0** (50.97)135.9** (58.75)22.71 (24.46)109.7** (48.64)
Constant−5.327*** (0.922)564.5* (306.2)532.5 (411.1)722.1 (473.9)367.9* (197.3)376.3 (392.3)
Year dummyYesYesYesYesYesYes
R-squared0.2640.2670.2110.2980.2910.264
Note(s):

This table reports the analysis of the impact of sustainability ranking on the sustainability score as additional analysis. In the first stage, a probit model is used to estimate the probability of being ranked, using a binary dependent variable indicating ranking inclusion. In the second stage, an OLS panel regression with university-level fixed effects is estimated. The regressions include 675 observations over the period 2014–2023. Independent and control variables are lagged by one period. Standard errors are reported in parentheses. ***p < 0.01, **p < 0.05, *p < 0.1

or Create an Account

Close Modal
Close Modal