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Table 5 GLS regression results—net profit

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

  Standardized estimate—dependent variable: NP
  Model 1 (Base Model 1) Model 2 Model 3 Model 4 Model 5 Model 6 Model 7 Model 8 (Base Model 2)
Intercept − 0.009 − 0.0043 − 0.811 − 0.043 − 0.079 − 0.084 − 0.085 1.002**
Independent variables         
SNTL1   − 0.213*   − 0.213* − 0.224* − 0.205* − 0.210** − 0.205*
SNTL2    − 0.112*      
SNC   0.708*** 0.655* 0.709**     0.802*
(SNC)2     − 0.907     
ST      0.721***   0.088 0.434
SSH      0.065    0.031
BT       0.541* 0.551* 0.505
BSH       0.178   0.170
ST × BT        − 0.082  
Control variables         
AGE 0.054 0.097 0.008 0.097 0.094 0.078 0.078 0.077
SIZE   0.328 0.277 0.159* 0.100* 0.309* 0.441* 0.274*
PUB − 0.285 0.182 0.054 0.181 0.033 0.293 0.294 0.322
JAP 0.410 − 0.118 0.718 − 0.118 − 0.101 − 0.104 − 0.105 − 0.100
DL 0.0039 0.001 0.123 0.082 0.091 0.003 0.012 0.003
R2 0.02 0.59 0.40 0.54 0.53 0.56 0.56 0.61
Adjusted R2 0.01 0.55 0.37 0.51 0.52 0.55 0.55 0.55
F 0.2 15.30 12.47 9.53 14 15.99 13.48 10.05
p value 0.9 1.002e−10 1.061e−10 1.023e−09 4.7833e−10 4.531e−11 1.94e−10 1.506e−10
Improvement over base R2   0.57 0.38 0.52 0.51 0.54 0.54 0.59
Max VIF 1.02 1.36 1.56 24.59 1.58 9.98 16.12 84.62
  1. p < 0.10; *p < 0.05; **p < 0.01; ***p < 0.001