. 2020 Jun 18;27(29):36254–36281. doi: 10.1007/s11356-020-09497-3

Table 2.

Cross-sectional dependency analysis

Model	(1)	(2)	(3)	(4)	(5)	(6)
Dependent variable	lnREC_t	lnRES_t	lnEI_t	lnACFT_t	lnCO2_t	lnCO2_t
CD-tests	− 1.833* (0.076)	1.901** (0.039)	− 1.767* (0.069)	− 1.712** (0.049)	− 1.882** (0.026)	4.003*** (0.000)
LM-tests	74.231*** (0.000)	70.719*** (0.000)	56.298*** (0.001)	66.291*** (0.001)	89.230*** (0.000)	75.249*** (0.000)

Model

(1)

(2)

(3)

(4)

(5)

(6)

Dependent variable

lnREC_t

lnRES_t

lnEI_t

lnACFT_t

lnCO2_t

CD-tests

− 1.833*

(0.076)

1.901**

(0.039)

− 1.767*

(0.069)

− 1.712**

(0.049)

− 1.882**

(0.026)

4.003***

(0.000)

LM-tests

74.231***

(0.000)

70.719***

(0.000)

56.298***

(0.001)

66.291***

(0.001)

89.230***

(0.000)

75.249***

(0.000)

The optimal lags are based on Schwarz Information Criterion (SIC); The probability values are reported within the parentheses. ***, **, and * denote statistical significance at 1%, 5%, and 10% levels respectively