Table 3 Benchmark regression results.

From: Does China’s innovation-driven policy affect enterprises’ import performance of intermediate goods?

 

(1)

(2)

(3)

(4)

(5)

(6)

Variable

Import quantity of intermediate goods

Import quantity of intermediate goods

Import variety of intermediate goods

Import variety of intermediate goods

Import quality of intermediate goods

Import quality of intermediate goods

\({T}_{{it}}\)

0.3500*** (0.0094)

0.4210*** (0.0153)

0.0230*** (0.0033)

0.0217*** (0.0054)

0.1730*** (0.0207)

0.2850*** (0.0327)

Size

 

0.2112*** (0.0441)

 

0.0110*** (0.0042)

 

0.5322*** (0.1110)

Age

 

0.0410 (0.0265)

 

−0.0031 (0.0052)

 

0.0352 (0.0652)

Capital

 

0.0228 (0.0253)

 

−0.0045** (0.0021)

 

0.0436 (0.0638)

Level

 

−0.3520*** (0.1241)

 

−0.0108 (0.0107)

 

−0.407*** (0.1580)

Ownership

 

−0.3970*** (0.0650)

 

0.0541** (0.0141)

 

−0.8000*** (0.1607)

Export

 

0.3630*** (0.0160)

 

0.0379*** (0.0052)

 

0.4550*** (0.0387)

TFP

 

0.0380*** (0.0054)

 

0.0224*** (0.0024)

 

0.1950*** (0.0150)

HHI

 

0.0110 (0.6541)

 

0.0063 (0.8112)

 

0.0243 (0.8463)

_cons

1.7500*** (0.0122)

−1.0104*** (0.2904)

5.5340*** (0.0043)

5.4930*** (0.0291)

10.2700*** (0.0223)

5.2170*** (0.9400)

Firm fixed effect

Yes

Yes

Yes

Yes

Yes

Yes

Year fixed effect

Yes

Yes

Yes

Yes

Yes

Yes

N

122161

70462

115156

58040

121469

70029

R2

0.0290

0.1460

0.0010

0.0110

0.0110

0.1370

  1. Note: *, ** and *** indicate significance at the 10%, 5% and 1% levels, respectively. The robust standard errors clustered to the enterprise level are in parentheses.