African indigenous vegetable marketing: examining the influence of socio-economic factors and market patterns in Tanzania

Figures & data

Figure 1. Conceptual model: domains of socio-economic factors and marketing patterns.

Figure 2. Age of respondents.

Table 1. Gender of respondents.

Gender category	Frequency	Percent (%)
Female	153	53.1
Male	135	46.9
Total	288	100.0

Figure 3. Locations of respondents.

Table 2. Farm size (acres).

Size of the farm category	Frequency	Percent (%)
0.5	9	3.1
1	255	88.5
2	15	5.2
3	3	1.0
4	6	2.1
Total	288	100.0

Table 3. Test of multicolinearity.

Variable	VIF	1/VIF
Age of smallholder farmer	3.57	0.28
Trade experience	3.24	0.31
Market infrastructure	3.95	0.25
Marital status	2.36	0.42
Farm size	5.78	0.17
Education level	2.61	0.38
Variety of AIVs	3.42	0.29
Household size	3.13	0.32
Marketing information	4.66	0.21
Marketing channel	4.37	0.23
Mean VIF	3.709

Table 4. Determinants of AVIs marketing among smallholder farmers.

Variable	Coefficient	Standard error	t-Value
Age of smallholder farmer	−0.3482	0.7455	−0.4671
Trading experience	0.3267	0.1241	2.63255***
Market infrastructure	1.07648	0.6013	1.7903*
Marital status	0.8341	0.2126	3.9233**
Farm size	0.3217	0.2254	1.4272
Education level	2.3355	0.2231	10.4683***
Variety of AIVs	1.0780	0.1716	6.2821*
Household size	1.1008	0.1920	5.733***
Marketing information	0.9232	0.1743	5.2966*
Market channel	0.4926	0.2370	2.07848*
Const.	2.0604	1.2839	1.6048
R	0.8786
R-square	0.772
Adjusted R-square	0.759
No. of observations	288

***, ** and *, Significant at 1%, 5% and 10% level of Probability.