Impact of climate-smart agriculture practices on multidimensional poverty among coastal farmers in Bangladesh

Abstract Climate-smart agriculture technology helps safeguard crop income from climate change-induced crop loss. Here we identify the factors determining the adoption of climate-smart agriculture and the impact of its adoption on multidimensional poverty among coastal climate-vulnerable farm households. We employ full information maximum likelihood estimation under the endogenous switching regression approach to account for counterfactual scenarios. Results indicate that the decision to adopt climate-smart agriculture is influenced by crop vulnerability, crop income, access to extension service, and training on input management. The current adopters of climate-smart agriculture experience a 41-percentage point reduction in multidimensional poverty compared to if they had not adopted this technique. Likewise, if the current non-adopters adopted climate-smart technology they could reduce poverty by 15 percentage points. Findings also claim that some specific climate-smart technologies are particularly effective in reducing poverty, providing valuable information to coastal farmers in making informed decisions about which technologies may be effective.