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Empirical analysis of Macro-Economic Variables towards Agricultural Productivity in South Africa

dc.contributor.advisorMosikari, T.J.en_US
dc.contributor.authorSetshedi, T.C.en_US
dc.contributor.researchID16995260 - Mosikari, Teboho Jeremiah (Supervisor)en_US
dc.date.accessioned2020-07-24T09:47:51Z
dc.date.available2020-07-24T09:47:51Z
dc.date.issued2019en_US
dc.descriptionMCom (Economics), North-West University, Mafikeng Campus
dc.description.abstractAgriculture in South Africa since the past decades has contributed less than 3% towards growth of the economy and has not improved since then. Moreover, this is an indication that it is not where it should be as the middle-income country. However even though the sector does not play a growth-leading role in the economy of South Africa; it is playing a growth permissive role. Therefore, the study empirically investigates the impact of macroeconomic variables towards agricultural productivity in South Africa. The Johansen cointegration and VECM approach have been applied to examine both the short-run and long-run relationship between macroeconomic variables and agricultural productivity over the period of 1975 to 2016. Three variations of equations were derived from the selected macroeconomic variables (gross domestic product, government expenditure, gross capital formation, consumer price index, real interest rate, real effective exchange rate, money supply and agricultural exports). The dependent variable which is agricultural productivity appeared in all those equations. Variations of results were established between the three equations with its dependent and explanatory variables. In terms of cointegration results, the study finds that there is cointegration relationship existing among those three equations even after the study imposed restrictions on a certain equation. Therefore it is concluded that there is long run relationship among agricultural productivity and macroeconomic variables. The study employed a VECM for all three equations. The speed of adjustment and its t-statistics has been performed according to expectations. Diagnostic tests, granger causality and impulse responses were also analyzed. In conclusion, the results suggest that for South Africa to increase agricultural productivity, the state should give adequate financial support to the agricultural sector by ways of sponsoring skill development and funding improvement of agricultural infrastructure. Investment in the sector should be encouraged from private and public organizations to ensure sufficient support for farmers.en_US
dc.description.thesistypeMastersen_US
dc.identifier.urihttps://orcid.org/0000-0003-0962-9086en_US
dc.identifier.urihttp://hdl.handle.net/10394/35335
dc.language.isoenen_US
dc.publisherNorth-West University (South Africa)en_US
dc.subjectAgricultural Productivityen_US
dc.subjectMacroeconomic Variablesen_US
dc.subjectVector Error Correction Modelen_US
dc.subjectSouth Africaen_US
dc.titleEmpirical analysis of Macro-Economic Variables towards Agricultural Productivity in South Africaen_US
dc.typeThesisen_US

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