Farmers adopt a range of technical and non-technical adaptation behaviors (TANAB) to alleviate the negative effects of drought. Understanding this adaptation behavior and its determinants is essential for improving adaptation capacity and promoting sustainable agriculture. In this study, we investigated the factors affecting TANAB using the Health Belief Model (HBM) as a theoretical framework. A survey was conducted of 320 farmers in Dashtestan County, Bushehr Province, southern Iran, on the shores of Persian Gulf. We used multi-stage stratified random sampling to select the research samples and applied structural equation modeling to analyze the determinants of TANAB. The findings revealed that the self-efficacy variable is the most important predictor of TANAB. As well as self-efficacy, other determinants of technical adaptation behaviors (TAB) are perceived barriers, severity, and susceptibility. Self-efficacy and cue to action were found to determine non-technical adaptive behaviors (NAB). This study indicates the differences between the determinants of TAB and NAB and emphasizes the key role of self-efficacy. The results of this study have implications for policymakers in the agricultural sector and can help in the development of interventionist policies to improve rural development in response to environmental crises. Governments and policymakers need to reinforce capacity-building potential for agricultural extension systems and adaptation training through information and communication technologies. This investment in education is critical for sustainable agricultural development and encourages farmers to adopt appropriate drought strategies aiming reducing farmers' vulnerability.
Keywords: Agriculture extension; Drought; Health belief model; Iranian farmers; Risk perception.
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