Table 3 The robustness checks: changing variable measures.

From: The impact of industrial robot adoption on firm’s trade credit

 

(1)

(2)

(3)

(4)

 

Changing the dependent variable measures

Changing the independent variable measures

VARIABLES

Credit2

Credit3

Credit

Credit

lnexposure

0.004***

0.011*

  
 

(3.32)

(1.89)

  

density

  

0.000**

 
   

(2.29)

 

exposure

   

0.000***

    

(2.67)

Size

0.004

−0.044***

0.011***

0.011***

 

(1.57)

(−5.13)

(2.74)

(2.73)

Age

0.017***

−0.094***

0.032***

0.032***

 

(4.62)

(−3.32)

(5.84)

(5.89)

ROA

−0.069***

0.172***

−0.102***

−0.102***

 

(−5.58)

(3.57)

(−5.91)

(−5.94)

LEV

−0.050***

−0.714***

−0.119***

−0.119***

 

(−4.74)

(−16.61)

(−7.18)

(−7.20)

Growth

0.004***

0.004

0.004***

0.004***

 

(3.53)

(1.25)

(2.71)

(2.71)

CashFlow

0.013*

0.102

0.090***

0.090***

 

(1.75)

(0.85)

(7.17)

(7.19)

PPE

0.026***

−0.081**

0.006

0.006

 

(2.92)

(−2.20)

(0.42)

(0.43)

SOE

0.011**

0.039**

0.021**

0.021**

 

(2.04)

(2.26)

(2.33)

(2.32)

Top1

0.000**

0.000

0.000**

0.000**

 

(2.52)

(0.85)

(2.18)

(2.23)

Inst

0.000

0.000

−0.000*

−0.000*

 

(0.13)

(1.63)

(−1.80)

(−1.81)

Dual

−0.002

−0.015*

−0.002

−0.002

 

(−1.08)

(−1.83)

(−0.68)

(−0.65)

Indep

0.000

0.000

0.000

0.000

 

(0.08)

(0.06)

(0.90)

(0.94)

Board

0.006

0.024

0.013

0.013

 

(0.97)

(1.06)

(1.31)

(1.29)

StaffIntensity

−0.006***

−0.013***

−0.010***

−0.010***

 

(−4.50)

(−2.77)

(−5.72)

(−5.66)

MarketShare

0.214***

0.552***

0.218***

0.222***

 

(3.75)

(3.16)

(3.13)

(3.19)

Constant

−0.058

1.537***

−0.191**

−0.191**

 

(−1.11)

(8.68)

(−2.20)

(−2.21)

N

11,139

11,139

11,139

11,139

Firm fixed effect

YES

YES

YES

YES

Year fixed effect

YES

YES

YES

YES

Adj-R2

0.775

0.505

0.802

0.802

  1. Robust t-values clustered at the firm level are shown in parentheses; *, **, and *** denote significance at the 10%, 5%, and 1% levels, respectively.