Estimation of the Factors that are Effective in the Decision Process of the Hazelnut Producers who Make Hazelnut in the City of Düzce by Making Use of Logit Regression Analysis

Abstract

This research was carried out in order to determine the factors which are effective in determining the hazelnut producers' decision to have agricultural insurance in all the districts of Duzce province, where hazelnut production is widespread. At total of 319 farmers selected by simple random sampling method, 96 of which had agricultural insurance and 223 of which didn't have agricultural insurance, there interviewed by face-to-face in 2016. Logistic regression method was used in the statistical analysis related to the results obtained from the questionnaire. In the study, a model was set up that can best comply with as few variables as possible in order to identify the relationship between dependent and independent variables. In the model, independent variables are individual characteristics, business characteristics, information sources and approaches to agricultural insurance. As a result of logistic regression analysis for 15 variables with statistically significant results: household, monthly income, hazelnut land, share holders, natural disasters, grant, insurance information and education are the most important factors that are effective in making agricultural insurance.