Description:
<jats:title>Abstract</jats:title>
<jats:p>Climate literature is highly pronounced about the impending threat to agriculture taking into account the climate change scenario and suggesting adaptation as a possible option to opt for. Considering this, the study seeks to comprehend the factors influencing farmers’ adaptation strategies to cope with climate change in coastal Bangladesh (Koyra Upazila, Khulna). In order to achieve the objectives descriptive, multivariate, and binary logistic regressions were used to analyze the data. Findings demonstrate that the most often used adaptation strategies were crop, water, and infrastructure management. Regression result shows that factors such as gender, labor in the family, farming experience, and the damaged sector are important factors in determining how well adaption methods are implemented. Binary logistic regression analysis explains that age (p = ≤0.041), income (p = ≤0.037), and farm size (p = ≤0.005) are significant factors in deciding on a new adaption option. The outcomes of this research can be used to reevaluate current frameworks and strategies for coping with climate change and to identify the factors that influence policy formulation. In order to improve the water management system for agriculture, policies such as Cash-for-Work (CFW) and Employment Generation Programme for the Poorest (EGPP) may be used to boost local agriculture.</jats:p>