Skip to main content

Table 6 Heterogeneity effect of innovation intensity on enterprises’ survival risk

From: Innovative behavior and the Chinese enterprise survival risk: an empirical research

Explanatory variables

Cox model (index regression)

Cloglog model

Samples of non-state-owned enterprises

(1)

(2)

(3)

(4)

(5)

(6)

(7)

INTEN

0.717a

(0.019)

  

0.719a

(0.019)

 

0.702a

(0.018)

 

INTEN2

  

1.091b

(0.028)

    

INTEN1

 

0.825a

(0.012)

  

0.813a

(0.012)

 

0.846a

(0.012)

INTEN2

 

0.664a

(0.018)

  

0.636a

(0.018)

 

0.652 + a

(0.018)

INTEN3

 

0.798c

(0.020)

  

0.763c

(0.024)

 

0.781b

(0.018)

INTEN4

 

0.913

(0.103)

  

0.911

(0.102)

 

0.917

(0.109)

Profit

0.934

(0.125)

0.936

(0.125)

0.937

(0.125)

0.931

(0.122)

0.931

(0.122)

0.925

(0.128)

0.924

(0.128)

Size

0.768a

(0.003)

0.754a

(0.003)

0.768a

(0.003)

0.732a

(0.002)

0.726a

(0.002)

0.754a

(0.003)

0.748a

(0.003)

Age

0.817a

(0.018)

0.815a

(0.018)

0.817a

(0.018)

0.843a

(0.018)

0.840a

(0.018)

0.891a

(0.019)

0.888a

(0.019)

TFP

0.691a

(0.004)

0.680a

(0.004)

0.680a

(0.004)

0.703a

(0.003)

0.703a

(0.003)

0.682a

(0.004)

0.682a

(0.004)

Export

0.927

(0.009)

0.925

(0.009)

0.925

(0.009)

0.942

(0.010)

0.942

(0.010)

0.931

(0.010)

0.933

(0.010)

Finance

0.823c

(0.016)

0.823c

(0.016)

0.828c

(0.015)

0.864

(0.014)

0.864

(0.014)

0.831c

(0.015)

0.831c

(0.015)

Owner

0.615a

(0.021)

0.618a

(0.022)

0.612a

(0.021)

0.620a

(0.023)

0.620a

(0.023)

0.601a

(0.020)

0.601a

(0.020)

Industry

Yes

Yes

Yes

Yes

Yes

Yes

Yes

Year

Yes

Yes

Yes

Yes

Yes

Yes

Yes

Area

Yes

Yes

Yes

Yes

Yes

Yes

Yes

Log likelihood

−92,184.31

−91,463.26

−91,632.53

−91,768.66

−91,226.90

−91,242.98

−91,488.21

Quantity of samples

184,282

184,282

184,282

184,282

184,282

123,061

123,061

Rho value

   

0.146

0.142

  

Likelihood ratio test of RhoValue

   

130.77

(0.153)

151.26

(0.138)

  
  1. Note: a, b, and c signify figures become apparent at the level of 1, 5, and 10%. Inside the bracket is standard error; “Yes” means to control on industry, year, and region, while the negative means “No”; quantity of samples signify the observed value instead of the number of individual enterprises