Adaptation to climate change is crucial for the resilience of rural communities, especially in semi-arid regions like Chicualacuala district, Mozambique. This study assesses the factors influencing the adoption of climate change adaptation technologies in the semi-arid region of Chicualacuala, Mozambique. Data collection involved direct observation, semi-structured interviews with key informants, and questionnaires administered to 191 households selected by simple random sampling. Descriptive statistics and a logistic regression model were used for analysis. The findings indicate that the agriculture sector is the primary beneficiary of the implemented adaptation technologies, with impacts perceived as predominantly positive. Logistic regression analysis revealed that factors such as cultivated land size, full-time engagement in farming, household income, and membership in producer groups significantly influence the adoption of agricultural technologies. Two key factors driving this uptake are the performance of extension services and whether the household head is employed. This suggests that technology adoption could be further strengthened if government policies expand and diversify the educational content of extension services, with a stronger focus on climate change adaptation practices. Such improvements are particularly important in sectors where perceived climate impacts remain limited, as better information may increase awareness and adoption.
Cardina et al. (Thu,) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: