Data descriptor examines adoption rates of climate resilience programmes among farmers, indicating gender differences in South Sudan.
This Data Descriptor examines adoption rates of gender-specific climate resilience programmes among smallholder farmers in South Sudan over a two-year period. Data were collected through structured interviews with randomly selected farmers from various regions. A logistic regression model was used to analyse the factors influencing programme adoption. A total of 123 out of 245 surveyed farmers adopted at least one programme, with a significant difference observed in adoption rates between men and women (p < 0.05). Gender-specific climate resilience programmes show promise for increasing agricultural productivity among smallholder farmers in South Sudan. Further research should explore the long-term impacts of these programmes on sustainable farming practices and community development. climate resilience, gender, smallholder farmers, adoption rates, logistic regression The empirical specification follows Y=β₀+β^ X+ε, and inference is reported with uncertainty-aware statistical criteria.
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Daniel Deng (2001) studied this question.
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