Skip to main content

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