The aim of the present study is to analyze and investigate behavioral economics factors on farmers' tendency to climate adaptation in East Banajouy Rural District. This study is applied in terms of its purpose and descriptive-analytical in terms of its implementation method. The statistical population of the study consists of all farmers in East Banajouy Rural District, Bonab County, which number 2400 people. In order to analyze the research findings, one-sample t-test, multivariate regression analysis, and path analysis were used. In order to examine the level of behavioral bias of farmers in East Banajouy Rural District, one-sample t-test was used. The test results showed that time bias with an average of 3.214, loss bias with an average of 3.216, reliability bias with an average of 3.240, and overconfidence bias with an average of 3.346 are all in an undesirable state, considering that the questionnaire items had a negative direction. Also, the test results showed that the farmers' tendency to climate adaptation is desirable with an average of 3.382. The results of the regression analysis showed that reliability bias with a standard coefficient of 0.367 has the greatest effect on farmers' tendency to climate adaptation. Also, loss bias with a coefficient of 0.323, overconfidence bias with a coefficient of 0.277, and time bias with a coefficient of 0.218 are in the next order of importance. Path analysis was used to examine the direct and indirect effects of behavioral economics factors on farmers' tendency to climate adaptation. Among the variables examined, the confidence bias has the highest overall effect (0.579) and is given first priority. This result indicates that the more farmers rely on their subjective perception and confidence in their decision-making, the more likely they are to be inclined towards climate adaptation.