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Table 6 Hierarchical analyses of ownership and innovation performance: Tobit estimation

From: Impact of ownership types on R&D intensity and innovation performance—evidence from transitional China

 

New product sales/Sales

Benchmark

Model 1

Model 2

Model 3

Model 4

Independent variables

 State stock concentration

 

0.039***

0.028***

  
  

(0.011)

(0.011)

  

 Private stock concentration

 

−0.091***

−0.081***

  
  

(0.005)

(0.005)

  

 Central SOEs

   

0.103***

0.062***

    

(0.019)

(0.019)

 Local SOEs

   

−0.019*

−0.022**

    

(0.012)

(0.012)

 POEs

   

−0.093***

−0.082***

    

(0.005)

(0.005)

Control variables

 R&D intensity

  

5.410***

 

5.405***

   

(0.091)

 

(0.091)

 Firm size

0.168***

0.163***

0.155***

0.163***

0.155***

 

(0.002)

(0.002)

(0.002)

(0.002)

(0.002)

 Firm age

0.004***

0.003***

0.003***

0.003***

0.003***

 

(0.000)

(0.000)

(0.000)

(0.000)

(0.000)

 Foreign ownership

−0.018***

−0.072***

−0.059***

−0.074***

−0.061***

 

(0.005)

(0.006)

(0.006)

(0.006)

(0.006)

 Leverage

−0.006**

−0.007***

−0.003

−0.006**

−0.003

 

(0.002)

(0.002)

(0.002)

(0.002)

(0.002)

 Employee training

0.245

0.150

−0.229

0.154

−0.221

 

(0.294)

(0.302)

(0.572)

(0.304)

(0.567)

 Capital intensity

0.000***

0.000***

0.000***

0.000***

0.000***

 

(0.000)

(0.000)

(0.000)

(0.000)

(0.000)

 Return to assets

0.023***

0.034***

0.031***

0.033***

0.030***

 

(0.009)

(0.008)

(0.008)

(0.008)

(0.008)

 Industry dummy

Yes

Yes

Yes

Yes

Yes

 Region dummy

Yes

Yes

Yes

Yes

Yes

 Year dummy

Yes

Yes

Yes

Yes

Yes

N

465587

465587

459698

465587

459698

χ2-statistic

42120***

42524***

44779***

42539***

44783***

Log likelihood

−123125

−122923

−116502

−122916

−116500

  1. *, ** and *** are significantly different from zero at the 10%, 5% and 1% level respectively