dc.contributor.advisor |
Chagwiza, C. |
|
dc.contributor.author |
Ogunsola, Mary Tosin
|
|
dc.date.accessioned |
2022-01-21T10:05:58Z |
|
dc.date.available |
2022-01-21T10:05:58Z |
|
dc.date.issued |
2020-12 |
|
dc.date.submitted |
2022-12 |
|
dc.identifier.uri |
https://hdl.handle.net/10500/28462 |
|
dc.description.abstract |
Agricultural production is the main source of livelihood and food security for crop farmers
especially the rural communities in the Limpopo Province of South Africa. This sector
contributes immensely to the Gross Domestic Product (GDP) of the country as a whole,
however, it is grossly affected by the impacts of changes in climate. Farmers take several and
different adaptation strategies at different levels to help them cope with these changes in
climate. It is therefore of great importance to have proper knowledge about the determinant
factors that influences adaptation measures taken by the farmers. The purpose of this study
was to analyze the determinant factors of climate change adaptation strategies in the Limpopo
Province of South Africa.
Multistage sampling technique was used to collect data from 156 crop farmers (avocado and
tomato farmers) selected from 3 districts (Capricorn, Vhembe and Mopani) in the Limpopo
Province of South Africa. Structured interviews were scheduled with the farmers and
questionnaires which contained both close-ended and open-ended questions were administered
to the farmers. Proper explanation of what is entailed in the questionnaire was given to them
and the questionnaires were filled with the help of the researcher for the purpose of the study
to avoid deviating from answering the questions correctly.
The data collected was analyzed with the use of descriptive statistical tools and inferential
analysis. Binary logistic regression analysis used to identify factors influencing the farmer’s
decision to adapt to the negative impacts of climate change. Cronbach alpha was also used to
test the reliability and rigorousness of the data collected. The descriptive analysis revealed that a higher number of the participants are between the age of 46-55 years accounting for 29% of
the total and are middle-aged people. Sixty-eight percent accounted for male participants, 32%
as females. It also revealed that farming is the major occupation (73.7%) of the participants in
the study area. Percentage of the farmers that were aware of climate change in their locality
was 55.1% while 56.4% indicated that they received proper information on climate change in
the study area. The findings also revealed that most of the farmers (70.5%) perceived that
temperature has been on a significant increase over the years in their locality, 71.2% believed that rainfall intensity is also changing while 50.6% explained that drought has been on the
increase in the recent times.
The results of the Binary Logistic Regression analysis revealed that there is a significant
relationship between source of income, educational level of the farmers, main occupation and
climate change adaptation. These variables affected their decisions to take up adaptation
measures. It also reveals the important adaptation strategies that the farmers have taken to help
cope with changes in climate; multi-cropping (37.8%), use of different planting dates (41.7%),
crop rotation (48.7%), use of soil conservation techniques (41%) and use of irrigation system
(40.4%).
It is therefore recommended that certain adaptation measures should be subsidized for farmers
especially the important ones that were employed by the farmers at the farm-level such as
irrigation system, soil conservation techniques to mention a few. Also, government should
provide better ways by which farmers can gain access to improved climate information and
provide adequate extension services. |
en |
dc.format.extent |
1 online resource (xv, 118 leaves) : color illustrations, color graphs, color map |
|
dc.language.iso |
en |
en |
dc.subject |
Climate change |
en |
dc.subject |
Adaptation strategies |
en |
dc.subject |
Binary logistic regression model |
en |
dc.subject |
Avocado and tomato |
en |
dc.subject |
Crop farmers |
en |
dc.subject |
Limpopo Province |
en |
dc.subject |
South Africa |
en |
dc.subject.ddc |
630.2515096825 |
|
dc.subject.lcsh |
Climatic changes -- South Africa -- Limpopo |
en |
dc.subject.lcsh |
Crops and climate -- South Africa -- Limpopo |
en |
dc.subject.lcsh |
Agriculture -- Environmental aspects -- South Africa -- Limpopo |
en |
dc.subject.lcsh |
Avocado -- Climatic factors -- South Africa -- Limpopo |
en |
dc.subject.lcsh |
Tomatoes -- Climatic factors -- South Africa -- Limpopo |
en |
dc.title |
Determinants of climate change adaption measures among crop farmers in Limpopo Province of South Africa |
en |
dc.type |
Dissertation |
en |
dc.description.department |
Agriculture and Animal Health |
en |
dc.description.degree |
M. Sc. (Agriculture) |
|