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Preferences for Sustainable Agriculture Attributes and Technical Efficiency among Family Maize Farmers in Lufwanyama District, Zambia

Thesis (MPhil (Agricultural Economics))--University of Pretoria, 2020

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Other Authors: Mungatana, Eric D.
Format: Thesis
Language:English
Published: University of Pretoria 2020
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access_status_str Open Access
author2 Mungatana, Eric D.
author_browse Mungatana, Eric D.
author_facet Mungatana, Eric D.
collection Thesis
dc_rights_str_mv © 2019 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.
description Thesis (MPhil (Agricultural Economics))--University of Pretoria, 2020
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institution University of Pretoria (South Africa)
language English
last_indexed 2026-06-10T12:37:43.693Z
license_str Other — see source repository
provenance_str_mv Harvested via OAI-PMH from UPSpace — University of Pretoria Institutional Repository
publishDate 2020
publishDateRange 2020
publishDateSort 2020
publisher University of Pretoria
publisherStr University of Pretoria
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source_str UPSpace — University of Pretoria Institutional Repository
spelling oai:repository.up.ac.za:2263/75930 Preferences for Sustainable Agriculture Attributes and Technical Efficiency among Family Maize Farmers in Lufwanyama District, Zambia Mungatana, Eric D. kapambwemwamba@gmail.com Jourdain, Damien Kapambwe, Mwamba UCTD Agricultural economics Thesis (MPhil (Agricultural Economics))--University of Pretoria, 2020 This study investigated the relationship between farmer preferences for attributes of sustainable agricultural practices and their technical efficiency, in order to inform and improve policy targeting and programme packaging with regard to promoting adoption of the said sustainable agricultural practices. Farmer preferences for the attributes of eleven sustainable agricultural practices were elicited in a best-worst experiment from a random sample of one hundred and sixty-three family farmers. Their responses were analysed to determine preferences using the best-worst scaling approach. An assessment of preference heterogeneity was made using agglomerative hierarchical clustering. Additionally, using the stochastic frontier approach, maize production input and output data were collected and analysed to estimate the farmers’ technical efficiency. Finally, the relationship between the technical efficiency scores and cluster group membership was investigated, using t-tests and the analysis-of-variance method. The best-worst scaling results ranked eleven attributes in order of the most preferred to the least preferred. They ranked as follows: increased crop yield; decrease in pests and diseases; increase in drought resistance; increased soil fertility; decreased production costs; decreased on-farm soil erosion; decrease in external inputs used; decreased water requirements; decreased labour use and decreased off-farm pollution as well as a reduction in extension requirements. Cluster analysis gave rise to five preference clusters: cost minimising; crop yield-maximizing; input-minimising, environmental-resilience-maximisers and the environmentally-conscious cluster. The mean technical efficiency of the sample was 50.9%. Efficiency was modelled on farmer contextual variables and cluster membership. The gender of the household head, practice of soil conservation and membership of the yield-maximising cluster were found to be significant in explaining efficiency. Relative to the environmental-resilience-maximizing cluster, the yield-maximizing cluster farmers were 9.8% more efficient. The result was suggestive of a relationship between farmer preferences and technical efficiency. However, an analysis of variance test between technical efficiency scores and cluster membership failed to reject the null hypothesis of equal mean efficiency across the clusters. Therefore, the data demonstrated no substantial relationship between the farmer preferences for sustainable agricultural practices and their technical efficiency. Copperbelt University African Economic Research Consortium Agricultural Economics, Extension and Rural Development MPhil (Agricultural Economics) Unrestricted Faculty of Natural and Agricultural Sciences 2020-08-27T11:29:43Z 2020-08-27T11:29:43Z 2020-09-29 2020 Thesis * S2019 http://hdl.handle.net/2263/75930 en © 2019 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. application/pdf University of Pretoria
spellingShingle UCTD
Agricultural economics
Preferences for Sustainable Agriculture Attributes and Technical Efficiency among Family Maize Farmers in Lufwanyama District, Zambia
title Preferences for Sustainable Agriculture Attributes and Technical Efficiency among Family Maize Farmers in Lufwanyama District, Zambia
title_full Preferences for Sustainable Agriculture Attributes and Technical Efficiency among Family Maize Farmers in Lufwanyama District, Zambia
title_fullStr Preferences for Sustainable Agriculture Attributes and Technical Efficiency among Family Maize Farmers in Lufwanyama District, Zambia
title_full_unstemmed Preferences for Sustainable Agriculture Attributes and Technical Efficiency among Family Maize Farmers in Lufwanyama District, Zambia
title_short Preferences for Sustainable Agriculture Attributes and Technical Efficiency among Family Maize Farmers in Lufwanyama District, Zambia
title_sort preferences for sustainable agriculture attributes and technical efficiency among family maize farmers in lufwanyama district zambia
topic UCTD
Agricultural economics
url http://hdl.handle.net/2263/75930