Adoption of Climate Smart Agricultural Practices in Raya Kobo Woreda
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Date
2020-10
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A.A.U
Abstract
This thesis takes an integrative approach how variation decision predicts adoption via technology
attributes and behavioral features, and synthesize with other socioeconomic variables to
investigate how these factors influence the uptake of CSA practices. The study applies both Partial
Least Squares Structural Equation Model (PLS-SEM) for prediction as well as the Multinomial
Logit model to determine adoption decisions. Except observed trialability constructs the
bootstrapped measurement model results shows a significant relation with their latent variables,
as well as, the inner structural model technological attribute was highly explained negatively by
technological complexity (-40.5%), intention by 39% by personal attitude. CSA adoption was
highly and directly by usefulness, technological attribute, cost, and intention respectively by
35.4%, -26.5%, -22.7%, and 22.4%, supporting for specified hypothesis. Moreover, technology
attributes and behavioral latent constructs were also simulated in the MNL model along with
socioeconomic factors. Results show that education, large land size, access to CSA information,
extension, and credit services, inconsistent rainfall, and occurrence of pests and diseases increase
the likelihood of adopting one or more CSA practices. While, livestock unit, non-farm income
activities, and high temperature reduce the probability of adaptation decisions. These results
imply that efforts to promote the widespread adoption of CSAPs by farmers in the study area
should focus on enhancing farmers' educational level, create awareness regarding CSAPs,
addressing liquidity constraints and deliver extension services. The adoption of CSAPs can also
further be enhanced by raising farmers' awareness, and skill and knowledge to ease technological
attributes, and change their perceptions and attitudes towards sustainable farming practices
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Keywords
Climate-smart agricultural practice, Multinomial logit, Ethiopia, Partial least square structural equation