Table 18 The moderating effects of ST.

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

Variable

Dependent variable: RCE

Full sample

Partial sample: higher than UR mean

Partial sample: not higher than UR mean

(1)

(2)

(3)

IIML

0.2073

(0.17)

4.9492**

(2.15)

4.1474

(1.70)

(IIML)2

−0.1324

(−0.11)

−3.8678*

(−2.09)

−5.1834

(−1.67)

ST

−0.0125

(−0.28)

0.3385*

(1.98)

0.1182

(1.45)

IIML×ST

−0.0371

(−0.13)

−1.1698**

(−2.16)

−0.9656

(−1.68)

(IIML)2×ST

0.0238

(0.08)

0.9128*

(2.10)

1.2157

(1.66)

Constant term

0.0253

(0.09)

0.9748*

(1.82)

0.3889

(0.94)

Control variable

Yes

Yes

Yes

Provincial fixed effect

Yes

Yes

Yes

Year fixed effect

Yes

Yes

Yes

N

240

100

140

Adj-R2

0.9925

0.9940

0.9932

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