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Table 8 R&D Expenditure as Innovation Proxy with Alternative Estimation Methods

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

 

INNOV_EXP

 

Fama–Macbeth

Quantile Regression

10th

25th

50th

75th

90th

CPQS

− 6.972***

− 3.1166***

− 3.3109***

− 3.991***

− 4.571***

− 4.551***

 

(2.086)

(0.4446)

(0.3906)

(0.411)

(0.328)

(0.316)

TSHARE

− 0.002

0.0023**

0.0042***

0.004***

0.004***

0.004***

 

(0.003)

(0.001)

(0.001)

(0.001)

(0.001)

(0.002)

SHRHFD5

− 1.218*

− 0.829***

− 0.334

− 0.411

− 0.600***

− 0.600*

 

(0.655)

(0.256)

(0.251)

(0.250)

(0.206)

(0.350)

TO

− 8.254***

− 5.769***

− 6.120***

− 5.752***

− 6.811***

− 6.328***

 

(2.091)

(0.979)

(0.713)

(0.564)

(0.688)

(0.701)

RET

0.191

0.928***

0.910***

0.797***

0.768***

0.683***

 

(0.452)

(0.177)

(0.112)

(0.097)

(0.117)

(0.113)

FREE

0.004

0.002

0.004**

0.008***

0.011***

0.008***

 

(0.003)

(0.002)

(0.002)

(0.002)

(0.002)

(0.003)

VOL

− 0.042

0.004

0.017

− 0.048

− 0.062

− 0.109**

 

(0.072)

(0.026)

(0.029)

(0.033)

(0.039)

(0.047)

EARN

0.413

0.546

0.196

− 0.542

− 0.312

0.360

 

(2.688)

(0.356)

(0.286)

(0.368)

(0.272)

(0.321)

INTAN

1.029**

0.472***

0.987***

0.902***

1.135***

0.682***

 

(0.355)

(0.151)

(0.145)

(0.134)

(0.176)

(0.197)

LEV

1.172***

0.846***

1.266***

1.275***

1.155***

1.524***

 

(0.272)

(0.229)

(0.163)

(0.111)

(0.170)

(0.152)

ROE

− 0.135

1.148***

0.953***

1.008***

0.506***

0.078

 

(0.609)

(0.369)

(0.294)

(0.246)

(0.167)

(0.280)

Q

0.060

− 0.045**

− 0.025

− 0.003

0.008

0.008

 

(0.036)

(0.018)

(0.018)

(0.012)

(0.016)

(0.014)

BTM

0.281

0.944***

0.945***

0.869***

0.546**

0.672***

 

(0.948)

(0.155)

(0.157)

(0.133)

(0.215)

(0.160)

CAPITAL

0.640

0.825**

1.129***

1.053***

1.741***

1.666***

 

(0.627)

(0.321)

(0.260)

(0.328)

(0.312)

(0.464)

SALES

0.003**

0.002***

0.001***

0.001**

0.002**

0.002**

 

(0.001)

(0.000)

(0.001)

(0.001)

(0.001)

(0.001)

lnAGE

− 0.032

− 0.033

− 0.112*

− 0.128**

− 0.046

− 0.063

 

(0.032)

(0.074)

(0.066)

(0.060)

(0.069)

(0.068)

CONSTANT

17.409***

15.588***

16.235***

17.360***

17.950***

18.910***

 

(0.812)

(0.309)

(0.361)

(0.200)

(0.427)

(0.383)

Year dummies

No

Yes

Yes

Yes

Yes

Yes

Industry dummies

Yes

Yes

Yes

Yes

Yes

Yes

N

4664

4664

4664

4664

4664

4664

\({R}^{2}\)/Pseudo \({R}^{2}\)

0.371

0.203

0.202

0.211

0.222

0.244

  1. This table presents the results of Fama–MacBeth and Quantile regressions of the baseline model (1), where R&D expenditures are the dependent variable. The definition of all variables is presented in Appendix A. Coefficients for the year and industry dummies are not reported for brevity. N is the number of firm-year observations. ***, ** and * denote statistical significance at the 1%, 5% and 10% levels, respectively