Table 3 Regression results of Eq. (1).

From: How do Taoist thoughts influence big data technological innovation? Empirical evidence from China

 

(1)

(2)

(3)

(4)

(5)

Variables

DTCH

DTCH

DTCH

DTCH

DTCH

TAO

0.1151**

0.1343***

0.1347***

0.0885***

0.0913***

 

(0.0455)

(0.0295)

(0.0299)

(0.0238)

(0.0221)

PGDP

 

0.9122***

0.9259***

0.3949***

−0.0761

  

(0.0907)

(0.0906)

(0.0768)

(0.0786)

FSIZ

 

3.5934***

3.5608***

1.1436**

0.8927**

  

(1.0187)

(1.0179)

(0.4745)

(0.4180)

PFDI

  

−1.2405

−2.1732

−1.2519

   

(2.0595)

(1.9084)

(1.7254)

INSR

  

−0.7513***

−0.8324***

−0.8175***

   

(0.0700)

(0.0687)

(0.0645)

SCPT

   

0.2586**

0.0708

    

(0.1155)

(0.0478)

HCAP

   

0.2275***

0.1953***

    

(0.0211)

(0.0194)

INNO

    

0.0270***

     

(0.0022)

Constant

4.5532***

−2.4833***

−2.5098***

0.6163

2.8801***

 

(0.1275)

(0.6948)

(0.6924)

(0.5441)

(0.5243)

Year FE

Yes

Yes

Yes

Yes

Yes

Province FE

Yes

Yes

Yes

Yes

Yes

Observations

1900

1900

1900

1900

1900

Number of cities

231

231

231

231

231

R2

0.3914

0.6561

0.6543

0.7456

0.7888

  1. Note: ***, **, and * represent significance at the 10%, 5%, and 1% levels, respectively. Robust two-way clustered standard errors are listed in parentheses, and R2 is the overall R2 value.