Abstract
ABSTRACT This paper evaluates a set of programmes that aimed to help Haitian farmers overcome access barriers to technology adoption and output markets during a low rainfall season. The study relies on inverse probability weighting (IPW) methods to estimate the effectiveness of three interventions separately against the counterfactual of traditional maize intercropping. Of the multiple interventions, estimated impacts indicate that the intensive peanut programme was the most effective in mitigating risk and improving overall outcomes. The findings highlight the importance of focusing on resilience as a means of improving livelihoods for effective development initiatives in disaster-prone areas.
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