Olive is one of the most important products, in the world. In this study, we investigate socio-economic and personal factors that affect olive adoption innovation such as: age, education, experiences, children below fourteen, income, etc. We used data of 1379-1380 and a sampling method. The research sampling was entirely random and stochastic: 120 farmers. Logit models are used to investigate essential factors. Since the dependent variable is qualitative, the independent variables are studied when categorized into three groups: personal variables such as: age, education and extension, and social variables such as: relationship to extension, studies on olive and technology, and lastly the economic factors such as: Income, employment, loan, risk and so on. Results show that variables including education, children above 14 years old, experiences, land, knowledge about olive, saving and income affect olive adoption innovation at 10 percentage significance Level. |