Climate change adaptation responses of male and female farmers are influenced by various factors. This study utilised a combination of descriptive statistics and logistic regression analysis to study the factors that influence the decision to adapt to a given climate change scenario.

Using cross-sectional data collected from 136 households in eastern Uganda, the study undertook the analysis at two levels: a pooled sample analysis and a gender disaggregated analysis. Contrary to other empirical studies, the study found that the factors influencing climate change adaptation decisions vary considerably between men and women.

The adaptation decisions of female heads depended on and were sensitive to more covariates compared to the decisions of male heads of household. Furthermore, climate change adaptation decisions of female heads were influenced by more liquid household assets, while those of male heads were influenced by real estate, especially land.
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