Agriculture Reference
In-Depth Information
Figure 5.3 The relationship between education and UA to total
household's food bundle
groups. This is due to the fact that higher-income groups had more access to
larger plots and inputs such as fertilizer.
Female-headed households sold more of their crops as compared to other
groups. Similar findings in Kampala were reported by Maxwell (1995).
Logistic regression showed that there was statistical difference (P < 0 : 05)
between income groups and gender but not between locations. Households
headed by individuals with higher education recorded higher cereal yields than
those who had not attended formal school (Figure 5.3).
Based on level of education, independent sample tests revealed a
statistically significant difference between household heads with pre-school, no
education and higher education (P < 0 : 05) on total yield and cereals
consumed. However, there was no statistically significant difference between
primary and secondary levels, secondary and higher levels, or illiterate and
pre-school education levels. Also, there was no significant difference between
education levels on cereals sold. The list of constraints farmers experienced
are presented in Figure 5.4, which shows that female (49.4 per cent), low-
income households (62.5 per cent) and farmers from Blantyre (53.9 per cent)
mentioned agricultural land as the major constraint.
The average plot size available to male-headed households was 0.24 ha,
while females had 0.08 ha, and the high-income households had an average of
0.27 ha as compared to 0.06 ha for low-income households. Lilongwe residents
had on average 0.22 ha, while those from Blantyre had 0.17 ha per household.
Search WWH ::




Custom Search