Measuring technical efficiency in Zimbabwe's manufacturing sector: a two-stage DEA Tobit approach

dc.contributor.advisorConradie, Beatrice
dc.contributor.authorDube, Rebecca
dc.date.accessioned2021-08-06T09:01:23Z
dc.date.available2021-08-06T09:01:23Z
dc.date.issued2021
dc.date.updated2021-08-06T07:55:42Z
dc.description.abstractThis paper measures and explains efficiency of firms in Zimbabwe's manufacturing sector. The paper uses a panel of 166 firms from 6 subsectors of the manufacturing sector in the financial year 2014. The Data envelopment analysis program is used to measure efficiency and identify its determinants. Exporting, labour quality, size and firm age were found to enhance productivity. Efficiency was found to significantly vary with location with firms in Bulawayo being more efficient. This paper found no evidence of a relationship between foreign ownership and manufacturing productivity in Zimbabwe. By identifying factors that affect efficiency as well as measuring their impact on manufacturing efficiency this paper answers the bigger policy question: how to reindustrialise Zimbabwe following two decades of economic recession. Zimbabwe's manufacturing sector exhibits strong backward and forward linkages with other sectors of the economy. These interlinkages make manufacturing sector productivity growth relevant to the resuscitation and growth of the economy.
dc.identifier.apacitationDube, R. (2021). <i>Measuring technical efficiency in Zimbabwe's manufacturing sector: a two-stage DEA Tobit approach</i>. (). ,Faculty of Commerce ,School of Economics. Retrieved from http://hdl.handle.net/11427/33719en_ZA
dc.identifier.chicagocitationDube, Rebecca. <i>"Measuring technical efficiency in Zimbabwe's manufacturing sector: a two-stage DEA Tobit approach."</i> ., ,Faculty of Commerce ,School of Economics, 2021. http://hdl.handle.net/11427/33719en_ZA
dc.identifier.citationDube, R. 2021. Measuring technical efficiency in Zimbabwe's manufacturing sector: a two-stage DEA Tobit approach. . ,Faculty of Commerce ,School of Economics. http://hdl.handle.net/11427/33719en_ZA
dc.identifier.ris TY - Master Thesis AU - Dube, Rebecca AB - This paper measures and explains efficiency of firms in Zimbabwe's manufacturing sector. The paper uses a panel of 166 firms from 6 subsectors of the manufacturing sector in the financial year 2014. The Data envelopment analysis program is used to measure efficiency and identify its determinants. Exporting, labour quality, size and firm age were found to enhance productivity. Efficiency was found to significantly vary with location with firms in Bulawayo being more efficient. This paper found no evidence of a relationship between foreign ownership and manufacturing productivity in Zimbabwe. By identifying factors that affect efficiency as well as measuring their impact on manufacturing efficiency this paper answers the bigger policy question: how to reindustrialise Zimbabwe following two decades of economic recession. Zimbabwe's manufacturing sector exhibits strong backward and forward linkages with other sectors of the economy. These interlinkages make manufacturing sector productivity growth relevant to the resuscitation and growth of the economy. DA - 2021_ DB - OpenUCT DP - University of Cape Town KW - Economics LK - https://open.uct.ac.za PY - 2021 T1 - Measuring technical efficiency in Zimbabwe's manufacturing sector: a two-stage DEA Tobit approach TI - Measuring technical efficiency in Zimbabwe's manufacturing sector: a two-stage DEA Tobit approach UR - http://hdl.handle.net/11427/33719 ER - en_ZA
dc.identifier.urihttp://hdl.handle.net/11427/33719
dc.identifier.vancouvercitationDube R. Measuring technical efficiency in Zimbabwe's manufacturing sector: a two-stage DEA Tobit approach. []. ,Faculty of Commerce ,School of Economics, 2021 [cited yyyy month dd]. Available from: http://hdl.handle.net/11427/33719en_ZA
dc.language.rfc3066eng
dc.publisher.departmentSchool of Economics
dc.publisher.facultyFaculty of Commerce
dc.subjectEconomics
dc.titleMeasuring technical efficiency in Zimbabwe's manufacturing sector: a two-stage DEA Tobit approach
dc.typeMaster Thesis
dc.type.qualificationlevelMasters
dc.type.qualificationlevelMCom
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