文章基本信息

标题：Labour Dynamics in Climate and Techno Reliant Small Scale Maize Production
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作者：Ardinesh Kambanje ; Saul Ngarava ; Abyssinia Mushunje 等
期刊名称：Journal of Economics and Behavioral Studies
电子版ISSN：2220-6140
出版年度：2018
卷号：10
期号：4
页码：262-276
DOI：10.22610/jebs.v10i4(J).2426
语种：English
出版社：International Foundation for Research and Development (IFRD)
摘要：Adoption of improved technology tends to recalibrate labour use in agricultural production. The study examined how the adoption of various maize varieties impacted labour use in smallholder production. The study utilised a structured pre-coded questionnaire-based survey of 487 smallholder maize farmers in South Africa. The purposive sample was obtained from Ingquza Hill and Port St Johnâ€™s Local Municipalities in the Eastern Cape Province. A multinomial regression model and Monte Carlo Simulation were utilised to analyse the data. Statistical Package for Social Scientist (SPSS) version 23 as well as Excel were the statistical tools utilised. Through multinomial regression analysis, the study found that weeding labour was the most significantly affected by a change in maize variety. It was observed that as maize variety transcends in use from Landrace to GMO, improved OPV and conventional hybrid, ploughing and weeding hours tend to decrease. The harvesting, storage and shelling hours tend to increase. Utilising the Monte Carlo Simulation, the study also found an increased impact of maize variety utilisation on harvesting as well as on shelling and storage labour hours. The study recommends that varieties be promoted taking cognizance of the labour dynamics to tier maximize suitability and labour-based productivity, reducing tedious labour use in ploughing and weeding, whilst promoting employment in harvesting, shelling and storage.
关键词：Improved Maize Varieties;Labour;Monte Carlo Simulation;South Africa