Skip to main content
. 2021 Apr 14;28(33):44949–44972. doi: 10.1007/s11356-021-13639-6

Table 13.

Panel FMOLS, GMM, and quantile regression outputs following Eq. (3)

Dependent variable: CO2-PC Coefficient Std. error t-stat Prob.
Panel FMOLSa,b,c,d,e,f,g
GDP_PC 0.719818 0.045065 15.97303 0.0000
GDP_PCb − 5.31E-06 5.37E-07 − 9.885870 0.0000
Electricity_Fossil 10.50434 3.033516 3.462761 0.0006
Gov_Health_Expend − 0.595650 0.153190 − 3.888313 0.0001
Priv_Health_Expend − 2.732644 0.405639 − 6.736649 0.0000
Panel GMMa,b,h,i
CO2_PC(-1) 0.809282 0.001465 552.5077 0.0000
GDP_PC 0.152405 0.001493 102.0645 0.0000
GDP_PCb − 1.19E-06 1.04E-08 − 115.2795 0.0000
Electricity_Fossil 2.944487 0.284901 10.33514 0.0000
Gov_Health_Expend 0.147838 0.015304 9.659976 0.0000
Priv_Health_Expend − 1.022370 0.006690 − 152.8315 0.0000
Panel quantile regression (0.25)a,b,j,k
GDP_PC 0.600204 0.084088 7.137765 0.0000
GDP_PCb − 8.34E-06 1.64E-06 − 5.100121 0.0000
Electricity_Fossil 2.000591 1.725928 1.159139 0.2469
Gov_Health_Expend − 0.561268 0.501371 − 1.119465 0.2634
Priv_Health_Expend − 0.892004 0.751940 − 1.186269 0.2360
Panel Quantile Regression (0.50)a,b,j,k
GDP_PC 0.949234 0.059301 16.00703 0.0000
GDP_PCb − 1.24E-05 1.34E-06 − 9.309408 0.0000
Electricity_Fossil 3.171701 1.669577 1.899704 0.0580
Gov_Health_Expend − 2.276137 1.181928 − 1.925782 0.0546
Priv_Health_Expend − 2.510034 0.687600 − 3.650428 0.0003
Panel Quantile Regression (0.75)a,b,j,k
GDP_PC 1.272247 0.158397 8.031999 0.0000
GDP_PCb − 1.29E-05 2.13E-06 − 6.050764 0.0000
Electricity_Fossil 21.50194 5.150120 4.175036 0.0000
Gov_Health_Expend − 6.047287 0.965807 − 6.261381 0.0000
Priv_Health_Expend − 4.324684 1.307909 − 3.306563 0.0010

aCross-sections included: 36

bTotal panel (balanced) observations: 573

cPanel method: Pooled estimation

dCointegrating equation deterministic: C

eAdditional regressors deterministic: @TREND

fCoefficient covariance computed using the sandwich method (heterogeneous variance structure)

gLong-run covariance estimates (Bartlett kernel, Newey-West fixed

hInstrument specification: @DYN (CO2_PC,-2) GDP_PC

iConstant added to the instrument list

jHuber heterogeneous standard errors and covariance

kSparsity method: Kernel (Epanechnikov) using residuals