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Table 11 Endogeneity Checks on Innovation Input (R&D Expenditures)

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

 

INNOV_EXP

 

Lag in

Variables

(1)

Changes in Variables

(2)

Firm Fixed

Effects

(3)

System GMM

(4)

CPQS

− 4.042***

− 0.981***

− 2.694***

− 2.633***

 

(0.513)

(0.180)

(0.288)

(0.758)

TSHARE

0.005***

0.001*

− 0.001

0.001

 

(0.001)

(0.001)

(0.001)

(0.001)

SHRHFD5

-0.719**

-0.910**

− 1.149**

− 0.147

 

(0.326)

(0.435)

(0.461)

(0.645)

TO

− 5.252***

− 2.202***

− 5.674***

-3.325

 

(1.080)

(0.420)

(0.483)

(2.578)

RET

0.738**

0.030

0.274***

0.118

 

(0.296)

(0.030)

(0.079)

(0.171)

FREE

0.004**

− 0.002**

− 0.000

− 0.004

 

(0.002)

(0.001)

(0.001)

(0.003)

VOL

− 0.055*

0.007

0.022

-0.052

 

(0.033)

(0.015)

(0.015)

(0.074)

EARN

− 0.366

− 0.334***

− 0.377**

− 1.267**

 

(0.319)

(0.052)

(0.181)

(0.559)

INTAN

0.829***

0.359**

0.459***

0.772**

 

(0.243)

(0.149)

(0.160)

(0.310)

LEV

1.127***

0.381***

0.769***

0.321

 

(0.210)

(0.127)

(0.159)

(0.953)

ROE

1.297***

0.243**

0.428***

0.184

 

(0.298)

(0.097)

(0.163)

(0.412)

Q

− 0.011

− 0.004

− 0.017*

0.023

 

(0.025)

(0.006)

(0.009)

(0.049)

BTM

0.817***

− 0.005

0.346***

− 0.183

 

(0.180)

(0.079)

(0.121)

(0.406)

CAPITAL

1.251***

0.636***

0.839***

− 1.942

 

(0.429)

(0.127)

(0.225)

(1.424)

SALES

0.001**

0.001***

0.001***

0.002***

 

(0.000)

(0.000)

(0.000)

(0.001)

lnAGE

− 0.078

0.285

− 0.061

− 0.059

 

(0.094)

(0.218)

(0.292)

(0.217)

INNOV_EXPt-1

   

0.627***

    

(0.120)

CONSTANT

16.807***

0.196***

18.574***

2.548

 

(0.430)

(0.048)

(0.846)

(10.116)

Year Dummies

Yes

Yes

Yes

Yes

Industry Dummies

Yes

Yes

No

Yes

N

3901

3875

4664

3888

Adj.R2

0.360

0.130

0.626

 

Hansen test

(p-value)

   

21.300

(0.128)

AR (1)

(p-value)

   

− 5.470

(0.000)

AR (2)

(p-value)

   

− 1.400

(0.162)

  1. Columns (1) and (2) estimate the baseline model for R&D expenditures as the innovation proxy but specify the independent variables in one-year lagged (t-1) and annual changes (â–³). Columns (3) and (4) re-estimate the model with the firm fixed effects estimator and system GMM, respectively. The diagnostic tests for system GMM are presented: the Hansen test of over-identification with the null that all instruments are valid. AR (1) and AR (2) tests are under the null of no first-order and second-order serial correlation, respectively, in the first-differenced residuals. The definition of all variables is presented in Appendix A. Coefficients for the year and industry dummies are not reported for brevity and only double-clustered adjustments are reported in parentheses. N is the number of firm-year observations. ***, ** and * denote statistical significance at the 1%, 5% and 10% levels, respectively