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Table 12 Robustness test of moderating effect

From: The power of financial support in accelerating digital transformation and corporate innovation in China: evidence from banking and capital markets

Variables

Robustness test 1

Robustness test 2

Robustness test 3

(25)

(26)

(27)

(28)

(29)

(30)

(31)

(32)

PG

PG

PG

PG

PG

PG

PG

PG

DT

0.1442***

0.1559***

0.2128***

0.1992***

0.1999***

0.4086***

0.4395***

0.4372***

(15.0049)

(16.5144)

(19.9086)

(17.4056)

(17.7939)

(4.5065)

(4.8186)

(4.8090)

FDb

− 0.0591***

  

− 0.0646***

  

− 0.2657***

 

(− 3.4496)

  

(− 3.1650)

  

(− 10.3470)

 

FDb × DT

0.0725***

  

0.0279**

  

0.4007**

 

(6.3238)

  

(2.0417)

  

(2.4939)

 

FDc

 

− 0.0001***

  

− 0.0003***

  

− 0.0057

 

(− 3.6843)

  

(− 6.1933)

  

(− 1.3122)

FDc × DT

 

0.0001***

  

0.0001***

  

0.2080***

 

(3.0789)

  

(3.2261)

  

(3.9617)

Control

Yes

Yes

Yes

Yes

Yes

Yes

Yes

Yes

Constant

0.0242

− 0.0595**

0.1181***

0.2330***

0.1422***

0.0285

0.3404***

0.0308

(0.6760)

(− 2.1769)

(3.7728)

(5.4591)

(4.3736)

(1.0981)

(8.5265)

(1.1798)

Year

Yes

Yes

Yes

Yes

Yes

Yes

Yes

Yes

Id

Yes

Yes

Yes

Yes

Yes

Yes

Yes

Yes

Observations

39,982

39,982

39,982

39,982

39,982

39,982

39,982

39,982

Number of id

4035

4035

4035

4035

4035

4035

4035

4035

R-squared

0.246

0.245

0.286

0.274

0.275

0.247

0.249

0.247

  1. ***p < 0.01, **p < 0.05, *p < 0.1. To save space, we do not list the regression results for the controls separately