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

Agricultural and Food Economics

Table 3 ZINB model results on determinants of consumption intensity of leafy AIVs

Variables	Rural dwellers		Urban dwellers
Variables	Coef.	Std. err.	Coef.	Std. err.
Negative binomial regression
Gender	−0.0871	0.1124	−0.0436	0.0944
H_size	−0.0438*	0.0240	−0.0142	0.0258
Age	0.0173***	0.0058	0.0066	0.0046
Educ	−0.0068	0.0130	−0.0030	0.0114
Occup	−0.2771	0.1418	−0.3346**	0.1125
P_income	−0.1736***	0.0599	0.0857	0.0591
Yr_cons	0.0001	0.0045	−0.0008	0.0046
V_diversity	0.0407*	0.0241	0.0504**	0.0219
Mrkt_dist	0.0128	0.0534	0.0998*	0.0586
Nutrit	−0.1557	0.2685	0.0705	0.2199
Medic	0.4704*	0.2622	0.0869	0.1450
Price_Per	−0.1817	0.1311	−0.0737	0.1118
Constant	0.9820**	0.4204	1.3299***	0.4012
Logistic regression for zero-inflation
Gender	1.4748*	0.7858	−0.2638	0.4344
H_size	0.1195	0.1334	−0.0651	0.1138
Educ	−0.0640	0.0810	−0.1119***	0.0432
P_income	−0.1796	0.3252	−0.2035	0.2594
Price_Per	−1.4133	0.8750	0.6698	0.6915
Constant	−1.3626	1.8718	−0.0859	1.5666
/lnalpha	−2.2581***	0.3486	−2.2572***	0.2687
Alpha	0.1046	0.0364	0.1046	0.0281
LR test of alpha = 0	χ ²(01) = 19.79		χ ²(01) = 32.33
LR test of alpha = 0	Pr ≥ χ ² = 0.0000***		Pr ≥ χ ² = 0.0000***
Vuong test	z = 2.70		z = 5.58
	Pr > z = 0.0034***		Pr > z = 0.0000***