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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