Institutional Repository

Socio-economic factors that affect livestock numbers : a case study of smallholder cattle and sheep farmers in the Free State province of South Africa

Show simple item record

dc.contributor.advisor Nkonki-Mandleni, B.
dc.contributor.advisor Anim, F. D. K. (Francis D. K.)
dc.contributor.author Ogunkoya, Folasade Temitope
dc.date.accessioned 2015-02-17T06:22:01Z
dc.date.available 2015-02-17T06:22:01Z
dc.date.issued 2014-05
dc.identifier.citation Ogunkoya, Folasade Temitope (2014) Socio-economic factors that affect livestock numbers : a case study of smallholder cattle and sheep farmers in the Free State province of South Africa, University of South Africa, Pretoria, <http://hdl.handle.net/10500/18251> en
dc.identifier.uri http://hdl.handle.net/10500/18251
dc.description.abstract The study was conducted across the four district municipalities in the Free State province of South Africa. The objective of the study was to determine socio-economic factors that affected livestock numbers among smallholder cattle and sheep farmers in the Free State province of South Africa. The research was qualitative and quantitative in nature. Proportionate random sampling method was used to collect data. The population comprised of smallholder cattle and sheep farmers that kept at least 30 livestock. Data between the 2008 and 2012 farming seasons were collected by administering well-structured questionnaires to 250 smallholder cattle and sheep farmers. Data collected were captured and analysed using the statistical package for social sciences (SPSS version 22 of 2013) to obtain frequency, cross-tabulation, descriptive statistics and ordinary least square (OLS) regression. Descriptive statistics results indicated that lack of camp systems, drought prevalence, increased feed costs, poor veterinary interventions, insufficient breeding stock, high cost of fuel and transportation, lack of equipment, diseases, stock theft and pilfering, and insufficient grazing land were the prevalent factors that affected cattle and sheep farming in the province.The OLS regression results indicated that the variables that significantly affected livestock numbers were district, household size, livestock numbers in 2008, planted pastures, grazing land condition, grazing land acquisition, service, advice / training, veterinary services, purchase of dosing products and sales per year. The results also indicated that the majority (96.8%) of the smallholder cattle and sheep farmers would like to increase their livestock numbers. It was therefore recommended that extension and veterinary services should be strengthened in the study area. In addition, it was recommended that smallholder livestock farmers should be encouraged to plant pastures to reduce pressure on the natural veld and make forage available throughout the year. Lastly, as a recommendation, government should provide subsidies with distribution policies that will ensure that all smallholder livestock farmers can benefit. en
dc.format.extent 1 online resource (xi, 108 leaves) : color illustrations, color map
dc.language.iso en en
dc.subject Socio-economic factors en
dc.subject Ordinary least square en
dc.subject Cattle and sheep en
dc.subject Smallholder cattle and sheep farmers en
dc.subject Free State province en
dc.subject.ddc 338.176009685
dc.subject.lcsh Livestock -- South Africa -- Free State -- Statistics -- Case studies
dc.subject.lcsh Farms, Small -- South Africa -- Free State -- Statistics -- Case studies
dc.subject.lcsh Free State (South Africa) -- Economic conditions -- Case studies
dc.subject.lcsh Free State (South Africa) -- Social conditions -- Case studies
dc.title Socio-economic factors that affect livestock numbers : a case study of smallholder cattle and sheep farmers in the Free State province of South Africa en
dc.type Dissertation en
dc.description.department Agriculture and  Animal Health en
dc.description.degree M. Sc. (Agriculture)


Files in this item

This item appears in the following Collection(s)

Show simple item record

Search UnisaIR


Browse

My Account

Statistics