Table 5 Robustness analysis.

From: The impact of digital inclusive finance on enterprise digital technology innovation: empirical evidence from the Chinese manufacturing industry

Replacement of explanatory variables

 

(1)

(2)

(3)

Variables

Auth_lndigital

Auth_lninvention

Auth_lnutility

DIF

0.531***

0.436***

0.391***

 

(−8.54)

(−8.19)

(−6.42)

Constant

−3.153***

−3.606***

−2.217***

 

(−9.29)

(−12.41)

(−6.67)

Controls

Yes

Yes

Yes

Year/Industry

Yes

Yes

Yes

r2_a

0.368

0.277

0.339

Observations

8251

8251

8251

Replacement of explanatory variables

 

(1)

(2)

(3)

(4)

(5)

(6)

VARIABLES

lndigital

lninvention

lnutility

lndigital

lninvention

lnutility

DIF

   

0.551***

0.490***

0.359***

    

(9.94)

(10.16)

(8.20)

DIF_p

0.155**

0.138**

0.119*

   
 

(−1.99)

(−1.99)

(−1.88)

   

Constant

−2.062***

−2.489***

−1.326***

−2.870***

−3.008***

−1.276***

 

(−4.51)

(−6.11)

(−3.56)

(−9.48)

(−11.42)

(−5.34)

Controls

Yes

Yes

Yes

Yes

Yes

Yes

Year/Industry

Yes

Yes

Yes

No

No

No

Year×Industry

No

No

No

Yes

Yes

Yes

r2_a

0.257

0.242

0.244

0.327

0.289

0.230

Observations

11401

11401

11401

11396

11396

11396

Change in measurement model

 

(1)

(2)

(3)

VARIABLES

Logit

Tobit

Poisson

DIF

0.640***

0.113***

0.254***

 

(−5.17)

(−5.1)

(−3.24)

L.RI

0.130***

0.021***

0.035***

 

(−13.37)

(−13.51)

(−7.75)

Constant

−6.218***

−0.617***

−3.544***

 

(−8.84)

(−5.04)

(−7.71)

Controls

Yes

Yes

Yes

Year/Industry

Yes

Yes

Yes

Year×Industry

No

No

No

r2_a

0.223

0.221

0.0969

Observations

9,528

9,528

9,528

  1. Robust standard errors adjusted for heteroskedasticity are in parentheses; ***, **, and * denote statistically significant levels of two-tailed tests at 1%, 5%, and 10%, respectively.