2021
DOI: 10.5539/jas.v13n6p41
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Perception Driven From Farmers’ Socio-economic Characteristics Towards Tackling Climate Change

Abstract: Climate change is part of us and we are unlikely to avoid its impact. Impacts of climate change are severely felt within the agricultural sector, the division that strives to ensure food and nutrition security and contribute towards sustainable development in many of the developing countries. The only way farmers can survive in the face of climate change is through adaptation, a phenomenon that needs collaborative efforts. One of the critical driving factors of climate change adaptation is farmers’ p… Show more

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Cited by 2 publications
(4 citation statements)
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“…This implies that the farmers who enjoy better access to climate change information (i.e., seasonal or mid-term forecasting) made betterinformed adaptation decisions. These findings were similar to the findings from various studies (Belay et al, 2017;Halagundegowda et al, 2017;Adeagbo et al, 2021;Tshikororo et al, 2021). As expected by the researchers, education and livestock rearing had a positive association across all climate change adaptation strategies.…”
Section: Determinants For Climate Change Adaptation Strategiessupporting
confidence: 91%
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“…This implies that the farmers who enjoy better access to climate change information (i.e., seasonal or mid-term forecasting) made betterinformed adaptation decisions. These findings were similar to the findings from various studies (Belay et al, 2017;Halagundegowda et al, 2017;Adeagbo et al, 2021;Tshikororo et al, 2021). As expected by the researchers, education and livestock rearing had a positive association across all climate change adaptation strategies.…”
Section: Determinants For Climate Change Adaptation Strategiessupporting
confidence: 91%
“…This multivariate statistical technique was employed (Duong et al, 2017;Tshikororo et al, 2021) to classify the farmers into two (or more) mutually exclusive and exhaustive groups based on a set of independent variables, that is, the discriminant model was used to distinguish between two categories of farmers: (i) willing to tackle climate change and (ii) non-willing to tackle climate change coded as 1 and 0, respectively. These two possible categories were defined by several factors, which simultaneously influence the farmers' willingness to tackle climate change.…”
Section: Discriminant Analysismentioning
confidence: 99%
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