Skip to main content
. 2022 Oct 14;30(8):19737–19748. doi: 10.1007/s11356-022-23519-2

Table 4.

Determinants of NOx emissions

Ln NOx emissions (1) (2) (3) (4) (5) (6)
Ln population

0.90***

(0.05)

0.96***

(0.04)

1.02***

(0.06)

0.91***

(0.03)

0.95***

(0.03)

1.02***

(0.06)

Ln income per taxpayer

(Columns (1)–(3))

Ln GDP per capita

(Columns (4)–(6))

 − 0.57***

(0.19)

 − 0.41**

(0.17)

 − 0.49**

(0.22)

 − 0.15***

(0.20)

 − 0.01

(0.22)

0.01

(0.11)

Ln cars ownership

0.77***

(0.25)

0.52**

(0.23)

1.07***

(0.23)

0.98***

(0.06)

0.59*

(0.08)

0.69*

(0.37)

Ln houses per capita

0.32***

(0.09)

0.24**

(0.12)

0.39***

(0.06)

0.28**

(0.13)

Ln industrial Manufacturing

0.08

(0.08)

0.11

(0.08)

Ln urban density

 − 0.04

(0.06)

 − 0.09*

(0.05)

Constant

0.072***

(0.08)

0.37***

(0.06)

0.36***

(0.07)

0.72***

(0.06)

0.41***

(0.07)

0.36***

(0.08)

R2 0.60 0.61 0.61 0.55 0.60 0.60
Number of districts 367 367 367 367 367 367
Number of observations 1315 1176 1167 2240 1168 1168

Robust standard errors are in parentheses. Year fixed effects are included. Variables are mean-centered before estimation, and estimations are based on the FMOLS technique. The varying number of observations is due to a lack of data for some variables

***p < 0.01; **p < 0.05; * p <0.1