Table 7
Numbers-equivalent1 commodities per plant model

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  Model 1 Model 2 Model 3 Model 4
Constant 1.91 (0.000) 2.00 (0.000) 1.99 (0.000) 2.30 (0.000)
Atlantic Canada -0.05 (0.494) 0.02 (0.778) 0.29 (0.047)
Quebec -0.0020 (0.972) 0.0020 (0.970) -0.16 (0.173)
Western Canada 0.07 (0.245) 0.09 (0.177) 0.09 (0.437)
Employment 0.02 (0.183) 0.01 (0.299) 0.01 (0.224)
x Urban -0.014 (0.214) -0.011 (0.354) -0.003 (0.568)
Urban -0.08 (0.157) -0.07 (0.488)
Export intensity -0.49 (0.000) -0.45 (0.114) -0.19 (0.250)
x Atlantic Canada -0.67 (0.058) 0.19 (0.397)
x Quebec 0.53 (0.106) 0.13 (0.427)
x Western Canada -0.06 (0.526) 0.15 (0.470)
x Urban -0.14 (0.620) 0.15 (0.468)
Labour-intensive -0.01 (0.938) -0.14 (0.393) -0.09 (0.577) -0.04 (0.831)
Scale-based 0.17 (0.076) 0.35 (0.001) 0.37 (0.001) -0.03 (0.816)
Product-differentiated 0.73 (0.001) 0.64 (0.004) 0.67 (0.002) -0.09 (0.635)
Science-based 0.14 (0.583) 0.33 (0.228) 0.22 (0.402) 0.37 (0.112)
1979 -0.04 (0.316)
1984 -0.03 (0.369)
1990 -0.20 (0.000)
1993 -0.26 (0.000)
1996 -0.37 (0.000)
1997 -0.42 (0.000)
1998 -0.42 (0.000)
1999 -0.47 (0.000)
Observations 2,151 2,151 2,151 2,151
Census divisions 239 239 239 239
R-squared 0.09 0.16 0.21 0.25
F (Probability>F) 3.2 (0.003) 3.8 (0.000) 4.0 (0.000) 41.9 (0.000)
Estimator between between between fixed effects

… not applicable

1 The numbers equivalent measure is interpreted as the number of products that would be present in a plant if sales were evenly distributed across all products.

Note: P-values are in parentheses and are corrected for heteroskedasticity in Model 4.

Source: Statistics Canada, Annual Survey of Manufactures.