Abstract
Besides climate-smart agriculture’s (CSA) potential to meet the world’s increasing food demands in the face of climate variability through sustainably increasing food production, its acceptance among farmers is still low. This could be partly because of limited insight into the contextual underpinnings of its uptake. Therefore, the purpose of this study was to establish the relationship between selected socioeconomic factors and the adoption of CSA in Gilgil Sub-County. This study’s results were attained from a binary logistic regression model, using a sample of 120 smallholder potato farmers in two wards of Gilgil Sub-County of Nakuru County, Kenya. An analysis of the five hypothesized explanatory socioeconomic variables contained in the model disclosed that a relationship between socioeconomic factors and adoption of CSAPs was statistically significant at a 5% level of significance (χ2 = 17.966, df = 5, p < 0.05). It further revealed that only two variables had a significant relationship with the adoption of CSAPs. Among these, included gender which was negative and statistically significant at a 5% level of significance (Wald χ2 = 6.701, df = 1, p < 0.05) and annual farm income, which was positive and statistically significant at a 5% level of significance (Wald χ2 = 8.402, df = 1, p < 0.05). Therefore, securing access to vital resources for women farmers is indispensable to enhance their capacity and compliance to adjust production methods in response to climate change. Facilitating increased farm output and income among the farmers is greatly recommended.
Highlights
Climate change dramatically affects socioeconomic and biophysical systems since these are profoundly and intricately interrelated [1,2,3]
23.3% of the respondents earned an annual off-farm income of less than KES 10,000, 34.2% earned between KES 10,001 and KES 25,000, 17.5% earned between KES 25,001 and KES 35,000, whereas 25% earned over KES 35,000
The findings show that within the five hypothesized explanatory socioeconomic variables contained in the model, only two were affirmed to have a significant relationship with the adoption of climate-smart agricultural practices (CSAPs)
Summary
Climate change dramatically affects socioeconomic and biophysical systems since these are profoundly and intricately interrelated [1,2,3]. Variation in any of these causes an alteration in another. Distinctive consideration should be given to climate change, notably to mitigate greenhouse gas (GHG) emissions [2, 4]. By 2030, its concentration in the atmosphere is forecasted to double, which induces a notable rise in temperature globally [5,6,7]. An increase in GHG emissions produces severe implications for the farming sector worldwide. Adaptation energies, especially among farmers, are interconnected in climate-smart agriculture (CSA), which utilizes the most advanced technological executions while mitigating climate change [6, 8].
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