Table 10 Industrial robot adoption, financing constraints, and firm’s trade credit.

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

 

(1)

(2)

(3)

VARIABLES

WW

Credit

Credit

lnexposure

−0.005*

 

0.005**

 

(−1.76)

 

(2.31)

WW

 

−0.017**

−0.015*

  

(−2.13)

(−1.90)

Size

−0.070***

0.009**

0.009**

 

(−10.75)

(2.08)

(2.10)

Age

0.006

0.034***

0.033***

 

(0.61)

(5.82)

(5.65)

ROA

−0.254***

−0.123***

−0.121***

 

(−8.76)

(−6.57)

(−6.48)

LEV

0.012

−0.120***

−0.121***

 

(0.85)

(−7.22)

(−7.34)

Growth

−0.020***

0.004**

0.004**

 

(−3.58)

(2.49)

(2.51)

CashFlow

−0.154***

0.086***

0.086***

 

(−6.97)

(6.53)

(6.59)

PPE

−0.026

0.004

0.006

 

(−1.45)

(0.24)

(0.40)

SOE

0.011

0.020**

0.021**

 

(1.22)

(2.02)

(2.21)

Top1

−0.000

0.000

0.000

 

(−1.14)

(1.41)

(1.54)

Inst

−0.000**

−0.000

−0.000

 

(−2.06)

(−1.52)

(−1.61)

Dual

−0.001

−0.000

−0.000

 

(−0.32)

(−0.17)

(−0.17)

Indep

−0.000

0.000

0.000

 

(−0.62)

(0.77)

(0.91)

Board

−0.014

0.015

0.016

 

(−1.01)

(1.41)

(1.53)

StaffIntensity

0.004

−0.010***

−0.010***

 

(1.02)

(−5.48)

(−5.30)

MarketShare

−0.401

0.209***

0.235***

 

(−0.82)

(2.93)

(3.31)

Constant

0.613***

−0.163*

−0.176*

 

(3.49)

(−1.76)

(−1.90)

N

10,185

10,185

10,185

Firm fixed effect

YES

YES

YES

Year fixed effect

YES

YES

YES

Adj-R2

0.434

0.805

0.806

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