Subjective preferences for agricultural technology attributes and their influence on technical efficiency of smallholder maize farmers in Nakuru County, Kenya

dc.contributor.advisorMungatana, Eric D.
dc.contributor.coadvisorJourdain, Damien
dc.contributor.emailmbakazachary@gmail.comen_US
dc.contributor.postgraduateMbaka, Zachary Simba
dc.date.accessioned2022-05-23T07:49:23Z
dc.date.available2022-05-23T07:49:23Z
dc.date.created2022
dc.date.issued2022
dc.descriptionDissertation (MSc Agric (Agricultural Economics))--University of Pretoria, 2022.en_US
dc.description.abstractThe study investigates whether the subjective utility of goals driving farmers' technology choices influence technical efficiency, with objectives of improving allocation choices, and providing effective extension services. Main goals of smallholder maize farmers were identified using the best-worst scaling (BWS) approach and efficiency scores generated using stochastic frontier analysis (SFA). A comparison between farming goals and technical efficiency was established using principal component analysis (PCA), cluster analysis, and one-way ANOVA. The study used data collected from 187 randomly selected smallholder maize farmers from Nakuru County, in Kenya. The most crucial goals of farming technology were found to be increasing crop yields, decreasing production costs, and reducing pests and diseases. The least important goals of farming technology were, decreasing on-farm soil erosion, decreasing water requirement through the cropping cycle, and decreasing off-farm pollution. Mean efficiency score was 61% and not statistically significant across the cluster groups, implying that subjective preferences of farming technology do not influence technical efficiency among the group. All coefficients of farming goals were negative when regressed against SFA generated efficiency scores, inferring that current farming technologies lack important farming goals that drive them. The study concluded that subjective utilities of farming goals do not have a significant influence on technical efficiency, contrary to our expectation. we therefore recommend further research to be conducted, to test the robustness of the results and identify reasons for negative and significant relationship between off-farm environmental services and production efficiency. The study is the first one of its kind to relate subjective utility of goals driving farmers’ technology choices and technical efficiency, immensely contribution to the existing literatureen_US
dc.description.availabilityUnrestricteden_US
dc.description.degreeMSc Agric (Agricultural Economics)en_US
dc.description.departmentAgricultural Economics, Extension and Rural Developmenten_US
dc.description.sponsorshipBorlaug Higher Education for Agricultural Research and Development (BHEARD)en_US
dc.identifier.citation*en_US
dc.identifier.otherS2022
dc.identifier.urihttps://repository.up.ac.za/handle/2263/85613
dc.language.isoenen_US
dc.publisherUniversity of Pretoria
dc.rights© 2022 University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of the University of Pretoria.
dc.subjectUCTDen_US
dc.subjectTechnical efficiencyen_US
dc.subjectBest-worst scaling
dc.subjectFarming goals
dc.subjectFarming technology
dc.subjectSmallholder farmers
dc.subjectPrincipal component analysis (PCA)
dc.subjectCluster analysis
dc.subjectCluster groups
dc.titleSubjective preferences for agricultural technology attributes and their influence on technical efficiency of smallholder maize farmers in Nakuru County, Kenyaen_US
dc.typeDissertationen_US

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