The estimation of the Cobb-Douglas production functions for the South African agricultural sector and a seletion of its subsectors

dc.contributor.advisorProf Kaseeram, Irrshad
dc.contributor.advisorProf Contogiannis, Terry Elefherios
dc.contributor.authorHlongwa, Lungani
dc.date.accessioned2025-11-25T13:38:25Z
dc.date.available2025-11-25T13:38:25Z
dc.date.issued2015
dc.degree.levelMasters
dc.degree.nameMaster of Commerce in Economics
dc.departmentNameEconomics
dc.descriptionThesis submitted to the Faculty of Commerce, Administration and Law to fulfil the requirements for the Master of Commerce in Economics at the University of Zululand, South Africa.
dc.description.abstractThe main focus of this study is to apply a Cobb-Douglas production function to estimate agricultural production functions at both the aggregate and sub-sectoral levels in order to determine the productivity of land, labour and capital, while maintaining rainfall levels as a control variable for the South African economy over the period from 1975 to 2012. This task will be accomplished by applying cointegration techniques, Johansen’s (1988) vector autoregression (VAR) methodologies and error correction mechanisms to capture short run disequilibrium between agricultural production function and its determinants. Specifically, the main objective of this study is to derive plausible estimates of the marginal productivities of land, labour and capital. Moreover, this study will attempt to establish the nature of the long and short run relationships between land, labour and capital in the aggregate sector and the maize and wheat subsectors. However, before the empirical analysis is conducted the study will first attempt to explain the relevant theories of growth and, which will then serve as a basis for examining South African growth experiences and policy prescription more specifically in the agricultural sector, for the purposes of understanding the South African agricultural sector growth phenomenon and choosing appropriate determinates of agricultural production growth. The fundings of the VECM, FMOLS, CCR and DOLS methods strongly suggest that the marginal productivities of capital and land were positive while that of labour was negative; all the coefficients were statistically significant except for capital. Additionally, the marginal productivity of land exceeded unity, thus implying that land productivity exhibits increasing returns to scale which confirms the trends that the number of farms has been decreasing but their land acreage have been increasing. While the negative marginal productivity of labour suggests that the South African aggregate agricultural sector is overwhelmed by severe diminishing marginal returns to labour, which explains the observed persistent decline in employment in the agricultural sector over the past three decades or more.
dc.facultyFaculty of Commerce, Administration and Law
dc.identifier.urihttp://hdl.handle.net/10530/58401
dc.language.isoen
dc.subjectAgricultural productivity
dc.subjectVector autoregression
dc.subjectProduction economic theory
dc.subjectLand use
dc.titleThe estimation of the Cobb-Douglas production functions for the South African agricultural sector and a seletion of its subsectors
dc.typeMasters Theses
dspace.entity.typePublication
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relation.isOrgUnitOfPublication.latestForDiscoveryc7eee4fb-1ae2-4b90-a48f-7edbef45aaef
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