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Table 13 Two-stage Least Squares (2SLS) Regression Result

From: Stock liquidity, financial constraints, and innovation in Chinese SMEs

 

First-stage

Two-stage least squares

 

CPQS

INNOV_EXP

INNOV_PAT

FIT-CPQS

 

− 6.761***

− 29.046*

  

(0.803)

(15.536)

CPQSt-1

0.599***

  
 

(0.026)

  

MCPQS

0.006**

  
 

(0.025)

  

TSHARE

0.004

0.002

0.030

 

(0.007)

(0.001)

(0.026)

SHRHFD5

− 4.123**

− 1.151***

11.938

 

(1.877)

(0.296)

(7.678)

TO

− 13.394***

− 6.867***

− 16.228

 

(4.082)

(0.804)

(14.274)

RET

− 1.927*

0.859***

1.224

 

(1.071)

(0.186)

(3.532)

FREE

0.030**

0.004*

0.028

 

(0.014)

(0.002)

(0.050)

VOL

0.176

− 0.021

− 0.113

 

(0.166)

(0.042)

(0.828)

EARN

2.155

− 0.025

9.682*

 

(1.411)

(0.542)

(5.338)

INTAN

5.627***

0.635***

− 1.820

 

(1.960)

(0.191)

(3.701)

LEV

− 7.771***

1.285***

3.037

 

(0.988)

(0.204)

(3.931)

ROE

− 13.982***

0.574

− 4.513

 

(2.583)

(0.387)

(4.823)

Q

0.472***

− 0.008

− 0.237

 

(0.084)

(0.017)

(0.290)

BTM

− 2.687***

0.846***

8.085**

 

(0.852)

(0.208)

(3.842)

CAPITAL

7.428***

2.056***

24.837**

 

(2.317)

(0.499)

(10.575)

SALES

− 0.014***

0.001*

0.010

 

(0.003)

(0.001)

(0.011)

lnAGE

− 0.704

− 0.098

0.188

 

(0.546)

(0.076)

(1.656)

CONSTANT

0.074***

18.191***

− 1.267

 

(0.017)

(0.413)

(6.966)

Year dummies

Yes

Yes

Yes

Industry dummies

Yes

Yes

Yes

N

1538

1538

1538

Adj.R2

0.675

0.350

0.022

  1. This table presents the pooled 2SLS estimation results for the relationships between the alternative firm innovation proxies and stock liquidity. The definition of all variables is provided in Appendix A. For brevity, year and industry dummies are suppressed. N is the number of firm-year observations. ***, ** and * denote statistical significance at the 1%, 5% and 10% levels, respectively