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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