Thesis (MSc. (Agricultural Economics)) -- University of Limpopo, 2011 / In-field rainwater harvesting technology is the technique that combines the
advantages of water harvesting, no till, basin tillage and mulching on high drought
risk clay soils. It reduces total runoff to zero, and also considerably reduce surface
evaporation. The scarcity of agricultural water is increasing at a faster rate than for
other sectors in Limpopo Province. Sufficient, clean drinking water is essential to life,
but millions of people throughout the world including South Africa continue to have
no access to this basic necessity.
This study aimed at investigating the extent and nature of adoption of in-field
rainwater harvesting technology by households in Lambani village of Limpopo
Province. The main objectives of this study were to identify factors determining the
in-field rainwater adoption technology for cropland productivity in Lambani village
and to determine the extent to which in-field rainwater harvesting adoption influences
cropland productivity in Lambani village. Simple random sampling technique was
used to select 70 farmers in Lambani village of Limpopo Province. Data was
collected using a structured questionnaire.
Descriptive statistics, logistic regression model and linear regression model were
used to analyse the data. Descriptive statistics was used to describe the
characteristics of households and the nature of Lambani village, and logistic
regression model was used to investigate factors that determine the adoption of infield
rainwater harvesting technology, while linear regression model was used to
determine the extent to which in-field rainwater harvesting influence the cropland
productivity in Lambani village.
The results from the logistic regression model indicate that 5 variables out of 10
variables are significant in explaining farmers’ adoption decision. Land size, access
to financial service, access to information and contact with extension officer are
some of the variables that have significantly positive effects on the adoption of infield
rainwater harvesting technology, while hired labour has significantly negative
correlation with adoption. Variables such as household size, level of education, age
of the household, level of income and the main water source do not significantly
influence adoption of in-field rainwater harvesting. This information will help prioritize
| Identifer | oai:union.ndltd.org:netd.ac.za/oai:union.ndltd.org:ul/oai:ulspace.ul.ac.za:10386/710 |
| Date | January 2011 |
| Creators | Badisa, Khumo Terezan |
| Contributors | Chaminuka, P., Belete, A. |
| Source Sets | South African National ETD Portal |
| Language | English |
| Detected Language | English |
| Type | Thesis |
| Format | xii, 73 leaves : col. ill. |
| Relation | Adobe acrobat reader, version 6 |
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