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Table 6 Estimate of negative binomial regression model

From: Organic vegetables demand in urban area using a count outcome model: case study of Burkina Faso

Frequency Coefficient z p > z
Health 0.2229538** 2.05 0.041
Distance −0.0575186*** −2.75 0.006
Utilisation −0.9575999** −2.38 0.017
Environ 0.0686963 0.62 0.533
Support −0.2126473 −0.78 0.437
Value 0.1670796 0.97 0.330
Number of crop −0.0150279 −0.20 0.842
Power 0.0768872 0.79 0.431
Gender 1.064793 1.00 0.317
Gend*Val −0.2094394 −1.16 0.246
Gend*Dist 0.0397297* 1.83 0.067
Constant 1.88481* 1.71 0.088
Lnalpha 0.2229538   
Alpha −0.0575186   
  1. LR chi2 (11) = 24.65; prob > chi2 = 0.0103
  2. Log likelihood (non-restricted) = −584.76611
  3. Log likelihood (restricted) = −614.4008
  4. LR test of alpha = 0: chibar2 (01) = 281.96; prob > = chibar2 = 0.000
  5. Level of significance: ***(1%); **(5%); *(10%)
  6. Source: Field survey Ouagadougou, 2017-2018