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Table 5 The results of PCSE regression

From: Is industrial pollution detrimental to public health? Evidence from the world’s most industrialised countries

Models 1 2
Constant −10.7364 (−9.50*** −8.1999 (−6.66)***
CO2 0.0945 (5.92)***  
NIT 0.0637 (4.61)***
GDP −0.1251 (−3.86)*** − 0.1112 (− 3.41)***
PHY − 0.1072 (−4.74)*** −0.1052 (−6.11)***
URB −0.0828 (−1.19) −0.0943 (− 1.45)
WAT 3.6369 (11.53)*** 2.8050 (8.13)***
SAN −0.4754 (−12.12)*** − 0.3948 (− 10.58)***
SCH − 0.0733 (− 1.68)* 0.0155 (0.32)
R-squared 0.9820 0.9830
F-statistic 533.69 585.08
Probability 0.0000 0.0000
Number of groups 19 19
Number of observations 225 197
  1. Note: ***, **, and * denote significance level at 1%, 5% and 10%, respectively