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Table 5 ZIP model results on determinants of consumption intensity of leafy AIVs

From: Consumption intensity of leafy African indigenous vegetables: towards enhancing nutritional security in rural and urban dwellers in Kenya

Variables

Rural dwellers

Urban dwellers

 

Coef.

Std. err.

Coef.

Std. err.

Negative binomial regression

Gender

−0.0818

0.0842

−0.0522

0.0702

H_size

−0.0431**

0.0175

−0.0097

0.0191

Age

0.0169***

0.0042

0.0066*

0.0034

Educ

−0.0055

0.0095

−0.0032

0.0083

Occup

−0.2795***

0.1073

−0.3406***

0.0869

P_income

−0.1734***

0.0445

0.0833*

0.0441

Yr_cons

0.0001

0.0032

−0.0008

0.0034

V_diversity

0.0372**

0.0175

0.0488***

0.0158

Mrkt_dist

0.0200

0.0399

0.1115**

0.0445

Price_Per

−0.1594*

0.0959

−0.0687

0.0838

Medic

0.4328**

0.1952

0.0757

0.1081

Nutrit

−0.1583

0.1961

0.0824

0.1607

Constant

1.0022***

0.3151

1.2892***

0.3014

Logistic regression for zero-inflation

Gender

1.3484*

0.7102

−0.2624

0.4251

H_size

0.1120

0.1260

−0.0632

0.1113

Educ

−0.0586**

0.0744

−0.1094

0.0425

P_income

−0.1313

0.3038

−0.2074

0.2547

Price_Per

−1.3257

0.8059

0.6444

0.6600

Constant

−1.2665

1.7958

−0.0565

1.5180

Vuong test

z = 3.03; Pr ≥ 0.0012***

z = 3.03; Pr ≥ 0.0012***

  1. *, **, ***indicates significance level at 10, 5, and 1%, respectively
  2. The z-test is significant across, indicating that the ZIP model is more appropriate for the data than the standard Poisson regression model