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Table 5 Regressions: Pollution Prevention and Pollution Controla,b

From: Supply chain uncertainty and environmental management

  Pollution Prevention Pollution Control
  Model 3.1 Model 3.2 Model 3.3 Model 3.4 Model 4.1 Model 4.2 Model 4.3 Model 4.4
Plant sizec .022 .025 .011 .021 −.020 −.029 −.013 −.024
Company sizec −.233** −.055 −.060 −.054 .016 .066 .071 .065
Provinced .143* .037 .067 .046 −.036 −.044 −.079 −.054
ISO 14001e   −.076 −.078 −.089   .091 .092 .106
% capital budget   −.087 −.071 −.082   .103 .084 .097
Management systems   −.541** −.543** −.527**   −.346** −.345** −.364**
Demand uncertainty    −.148**     .176**  
Supply uncertainty     −.142**     .169**
R-square .075** .372** .392** .173** .002 .114** .143** .142**
F- Statistics 5.678 20.502 19.084 19.032 0.112 4.467 4.942 4.905
∆ R-square   .297** .021** .020**   .113** .029** .028**
  1. aStandardized betas reported. Number of observations: 215
  2. b** = p-value < .01; * = p-value < .05;  = p-value < .10
  3. cThe company and plant size were computed by taking the natural logarithmic transformation of the number of employees
  4. dThis is a dummy variable where 0 is Ontario and 1 is Quebec
  5. eThis is a dummy variable where 0 is a plant that is not ISO 14001 certified and 1 is a certified plant