Table 9 Results of the relationship between DPY and IIML.

From: Integration and innovation of China’s manufacturing and logistics industries and carbon emissions

Variable

Dependent variable: RCE

IIML

(1)

IIML2

(2)

IIML

(3)

IIML2

(4)

\({{DPY}2015}_{{it}}\)

−0.1010***

(−3.44)

−0.0483***

(−2.98)

/

/

\({{DPY}22015}_{{it}}\)

0.2519***

(3.65)

0.1469***

(3.25)

/

/

\({{DPYV}}_{{it}}\)

/

/

−0.1084***

(−3.51)

−0.0535***

(−3.10)

\({{DPYV}2}_{{it}}\)

/

/

0.2659***

(3.70)

0.1564***

(3.33)

Control variable

Yes

Yes

Yes

Yes

Provincial fixed effect

Yes

Yes

Yes

Yes

Year fixed effect

Yes

Yes

Yes

Yes

N

240

240

240

240

  1. Note: *, **, and *** indicate significance at the 10%, 5%, and 1% confidence levels.