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Table 6 GLS regression results—productivity

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

  Standardised estimate—dependent variable: productivity
  Model 1 (Base Model 1) Model 2 Model 3 Model 4 Model 5 Model 6 Model 7 Model 8 (Base Model 2)
Intercept − 0.087 − 0.008 − 0.982 − 0.731 − 0.786 − 0.714 0.785 − 0.755
Independent variables         
SNTL1   − 0.477***   − 0.255*** − 0.266** − 0.329*** − 0.224*** − 1.362***
SNTL2    − 0.654**      
SNC   0.162* 0.908* 0.127*     0.829*
(SNC)2     − 0.436**     
ST      0.453***   0.033 0.002
SSH      − 0.040    − 0.179
BT       0.819*** 0.085 0.501*
BSH       − 0.314*   − 0.89***
ST × BT        − 0.438  
Control variables         
AGE 0.212* 0.121 0.128** 0.002 0.008** 0.002** 0.007 0.010
PUB − 0.205* − 0.292* 0.054 0.754 0.811 0.163* 0.182* 0.016**
JAP 0.257 0.098 0.718 0.003 0.001 0.009 0.811 0.779
DL         
R2 0.11 0.28 0.40 0.28 0.39 0.38 0.32 0.48
Adjusted R2 0.09 0.27 0.37 0.29 0.38 0.37 0.30 0.47
F 5.019 10.01 12.47 17.17 18.44 16.87 16.39 25.04
p value 7.91e−04 2.70e−09 1.061e−10 < 2.2e−16 < 2.2e−16 < 2.2e−16 < 2.2e−16 < 2.2e−16
Improvement over base R2   0.17 0.29 0.17 0.28 0.27 0.21 0.37
Max VIF 4.01 4.33 1.38 4.19 4.58 9.31 34.39 93.83
  1. p < 0.10; *p < 0.05; **p < 0.01; ***p < 0.001