An econometric analysis of the perception and adaptation response of smallholder farmers to climate change

dc.contributor.advisorNtuli, Herbert
dc.contributor.emailu23947358@tuks.co.zaen_US
dc.contributor.postgraduateBeyene, Daniel Abrha
dc.date.accessioned2025-02-18T11:07:47Z
dc.date.available2025-02-18T11:07:47Z
dc.date.created2025-04
dc.date.issued2024-10-28
dc.descriptionMini Dissertation (MSc Agric ( Agricultural Economics))--University of Pretoria, 2024.en_US
dc.description.abstractThe study explores smallholder farmers' perceptions of climate change, adaptation responses, and the drivers that determine their decision-making in adopting climate-smart technologies in the agricultural sector. The research is based on a sample of 314 households from six randomly selected villages in Mendefera and Debarwa sub-zones in Debub-Eritrea. It identified the determinants affecting farmers’ perceptions of climate change and factors influencing their preferences for adaptation practices. A mixed-method approach was used, employing both descriptive statistics and econometric models. To address potential reverse causality bias between household income and adaptation strategies, the study employed non-farm income as an instrument variable for household income. A binary logistic regression was used to identify the determinants of farmers' perceptions of climate change (i.e. rainfall and temperature patterns), while a multinomial logistic regression model was used to examine factors influencing farmers' preferences for adopting climate-smart technologies. The binary logistic regression result indicated that factors such as age, experience, credit access, climate change information, ownership of communication tools, and training influenced farmers' perceptions positively. The multinomial logistic regression result indicated that experience, gender, education, income, family size, credit access, access to extension services, and farmers’ perceptions of rainfall positively influenced farmers' preference for adaptation strategies. However, farmers’ perceptions of temperature negatively influenced farmers' preferences for adaptation strategies. Based on these insights, the study suggests that improving farmers’ access to financial and technological resources and enhancing climate-related training through the digitalisation of extension services are crucial for promoting the adoption of climate-smart agricultural practices. Additionally, strengthening community-based initiatives can further support farmers’ resilience and knowledge-sharing efforts. By bridging scientific research with traditional knowledge, the study advocates for climate-compatible agriculture, incorporating indigenous practices to strengthen community resilience and sustainability.en_US
dc.description.availabilityUnrestricteden_US
dc.description.degreeMSc Agric (Agricultural Economics)en_US
dc.description.departmentAgricultural Economics, Extension and Rural Developmenten_US
dc.description.facultyFaculty of Natural and Agricultural Sciencesen_US
dc.description.sdgSDG-01: No povertyen_US
dc.description.sdgSDG-02: Zero hungeren_US
dc.description.sdgSDG-05: Gender equalityen_US
dc.description.sdgSDG-13: Climate actionen_US
dc.description.sponsorshipMinistry of Agriculture, Eritreaen_US
dc.identifier.citation*en_US
dc.identifier.doi10.25403/UPresearchdata.27241188en_US
dc.identifier.otherA2025en_US
dc.identifier.urihttp://hdl.handle.net/2263/101014
dc.language.isoenen_US
dc.publisherUniversity of Pretoria
dc.rights© 2023 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.subjectSustainable Development Goals (SDGs)en_US
dc.subjectClimate-smart technologiesen_US
dc.subjectBinomial logistic regressionen_US
dc.subjectMultinomial logistic regressionen_US
dc.subjectPreceptionen_US
dc.subjectAdaptation Strategiesen_US
dc.subjectClimate Changeen_US
dc.titleAn econometric analysis of the perception and adaptation response of smallholder farmers to climate changeen_US
dc.typeMini Dissertationen_US

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