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0.7). The results showed that the studied farmers had high levels of food insecurity and were highly exposed to livelihood risks. Also, the correlation analyses showed positive and significant relationships between livelihood risk variables and food insecurity. The variables included agronomy (0.639), agricultural trade (0739), price (0.524), employment (0.474), health (0.541), policy making (0.425), and demographic features (0.387). In addition, as the logistic regression sequences indicated, of the livelihoods risks, agricultural production risk (0.074) had the greatest impact on the food insecurity of households.]]>
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