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Table 4 GLS Regression results—total annual revenue

From: How does the position of firms in the supply chain affect their performance? An empirical study

 

Standardized estimate—dependent variables: REV

 

Model 1 (Base Model 1)

Model 2

Model 3

Model 4

Model 5

Model 6

Model 7

Model 8 (Base Model 2)

Intercept

0.002

− 0.002

− 0.811

− 0.011

− 0.003

− 0.001

0.878

1.002**

Independent variables

        

SNTL1

 

− 0.254**

 

− 0.244**

− 0.289**

− 0.206 **

− 0.193**

− 0.175*

SNTL2

  

− 0.195**

     

SNC

 

0.422***

0.366***

0.342**

   

1.881***

(SNC)2

   

− 0.194*

    

ST

    

0.408***

 

0.343*

0.124

SSH

    

0.094

  

− 0.003

BT

     

0.425***

0.490*

0.197

BSH

     

0.167*

 

1.953***

ST × BT

      

− 0.481

 

Control variables

        

AGE

0.186*

0.248**

0.128**

0.286**

0.241**

0.292**

0.118**

0.176*

SIZE

0.270**

0.174*

0.256**

0.174*

0.185*

0.138*

0.229*

0.177*

PUB

0.001

0.048

0.054

0.045

0.035

0.020

0.056

1.590**

JAP

0.123

0.06

0.718

0.032

0.07

0.06

0.662

0.558

DL

0.076

0.058

0.187

0.092

0.0823

0.333

0.022

0.003

R2

0.16

0.39

0.40

0.43

0.42

0.46

0.42

0.50

Adjusted R2

0.13

0.35

0.37

0.39

0.38

0.42

0.37

0.46

F

5.05

10.63

12.47

9.53

10.44

12.18

9.71

11.04

p value

9.23e−04

3.818e−09

1.061e−10

1.023e−09

8.323e−10

3.387e−11

4.219e−10

9.934e−13

Improvement over base R2

 

0.22

0.23

0.27

0.26

0.29

0.25

0.34

Max VIF

1.38

1.38

1.38

17.54

1.41

3.47

13.65

50.87

  1. p < 0.10; *p < 0.05; **p < 0.01; ***p < 0.001