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Agricultural and Food Economics

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
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