The purpose of this study was to design an adaptive capacity model of wheat farmers in Mehran city in confronting with particulate matter and its effective factors. The statistical population included wheat farmers in Mehran city including 315 people for 14,500 hectares
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The purpose of this study was to design an adaptive capacity model of wheat farmers in Mehran city in confronting with particulate matter and its effective factors. The statistical population included wheat farmers in Mehran city including 315 people for 14,500 hectares of wheat lands. The sample size was estimated 173 of wheat farmers using the Cochran formula which increased to 180 to enhance the accuracy of the calculation. The random sampling method was used. The collected data were analyzed using SPSS and AMOS software. Bootstraping technique was used to evaluate the significance of path coefficients. Educational-extension mechanism (path coefficient = 0.446 and t-value = 3.409) and agronomic mechanism (path coefficient = 0.428 and t-value = 2.470) show a significant effect on adaptation to fine dust phenomenon have given. While the effect of managerial mechanism (path coefficient = 0.153 and t-value = 1.391), technical mechanism (path coefficient = 0.118 and t-value = 0.637) in this regard was not significant. Factors such as lack or lack of awareness, education and communication and extension weakness, conducting research without considering the adaptation and needs assessment and not simplifying their results for farmers, not considering the required credit and capital, not paying attention to adaptation to the phenomenon of fine dust. As a necessity, the lack of infrastructure to pave the way for implementation of activities compatible with the phenomenon of fine dust and the disproportionate tariffs for agricultural insurance can play a significant role in the non-significance of these mechanisms. However, the structure of adaptation to the fine dust phenomenon directly and the mechanisms related to it indirectly had very significant and significant effects on the adaptability.
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