Efficiency and farm size in Western Cape grape production: pooling small datasets

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dc.contributor.authorConradie, B I
dc.contributor.authorCookson, G.
dc.contributor.authorThirtle, C.
dc.date.accessioned2018-05-14T09:53:42Z
dc.date.available2018-05-14T09:53:42Z
dc.date.issued2006
dc.date.updated2016-01-14T10:47:37Z
dc.description.abstractA stochastic frontier is fitted to two panels of wine grape farms (34 in Robertson and 36 in Worcester) for 2003 and 2004 and a cross section of 37 table grape farms in De Doorns for 2004 only. The panel of wine grape farms is the best model as tests show that De Doorns is different. Output is explained by land, labour and machinery and efficiency is affected by labour quality, age and education of the farmer, location, the percentage of non-bearing vines and expenditures on electricity for irrigation. There is evidence of a small degree of increasing returns to scale.
dc.identifierhttp://dx.doi.org/0.1111/j.1813-6982.2006.00061.x
dc.identifier.apacitationConradie, B. I., Cookson, G., & Thirtle, C. (2006). Efficiency and farm size in Western Cape grape production: pooling small datasets. <i>South African Journal of Economics</i>, http://hdl.handle.net/11427/28048en_ZA
dc.identifier.chicagocitationConradie, B I, G. Cookson, and C. Thirtle "Efficiency and farm size in Western Cape grape production: pooling small datasets." <i>South African Journal of Economics</i> (2006) http://hdl.handle.net/11427/28048en_ZA
dc.identifier.citationConradie, B., Cookson, G., & Thirtle, C. (2006). Efficiency and farm size in Western Cape grape production: Pooling small datasets. South African journal of economics, 74(2), 334-343.
dc.identifier.ris TY - AU - Conradie, B I AU - Cookson, G. AU - Thirtle, C. AB - A stochastic frontier is fitted to two panels of wine grape farms (34 in Robertson and 36 in Worcester) for 2003 and 2004 and a cross section of 37 table grape farms in De Doorns for 2004 only. The panel of wine grape farms is the best model as tests show that De Doorns is different. Output is explained by land, labour and machinery and efficiency is affected by labour quality, age and education of the farmer, location, the percentage of non-bearing vines and expenditures on electricity for irrigation. There is evidence of a small degree of increasing returns to scale. DA - 2006 DB - OpenUCT DP - University of Cape Town J1 - South African Journal of Economics LK - https://open.uct.ac.za PB - University of Cape Town PY - 2006 T1 - Efficiency and farm size in Western Cape grape production: pooling small datasets TI - Efficiency and farm size in Western Cape grape production: pooling small datasets UR - http://hdl.handle.net/11427/28048 ER - en_ZA
dc.identifier.urihttp://hdl.handle.net/11427/28048
dc.identifier.vancouvercitationConradie BI, Cookson G, Thirtle C. Efficiency and farm size in Western Cape grape production: pooling small datasets. South African Journal of Economics. 2006; http://hdl.handle.net/11427/28048.en_ZA
dc.language.isoeng
dc.publisher.departmentSchool of Economicsen_ZA
dc.publisher.facultyFaculty of Commerceen_ZA
dc.publisher.institutionUniversity of Cape Town
dc.sourceSouth African Journal of Economics
dc.source.urihttp://onlinelibrary.wiley.com/doi/10.1111/j.1813-6982.2006.00061.x/citedby
dc.subject.otherGrape production
dc.subject.otherefficiency
dc.subject.otherstochastic frontier
dc.subject.otherfarm size
dc.subject.otherpooling
dc.titleEfficiency and farm size in Western Cape grape production: pooling small datasets
dc.typeJournal Article
uct.type.filetype
uct.type.filetypeText
uct.type.filetypeImage
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