Analysis of Factors Affecting the Innovation Level of Agricultural Operators
2024
Ender Kaya | Zeki Bayramoğlu
In this research, it is aimed to determine the factors affecting the innovation level of agricultural enterprises. Konya province was chosen as the research area because it is one of the important agricultural production centres in Türkiye. Stratified random sampling method was used within the scope of the study. A total of 268 agricultural enterprise owners were interviewed face to face and survey data were compiled. Multiple regression model was applied in the analysis of the factors affecting the perception of innovations by the operator. In this research, considering the characteristics of the data collected by the questionnaire, the linear regression model, which uses functional forms in regression models, was used. In the study, innovation index was taken as the dependent variable in the linear regression model. Independent variables were determined as education, experience, number of parcels, amount of land, active capital, amount of land, agricultural income, following innovations, receiving training on agricultural issues, participating in agricultural activities, following events related to agriculture on social media and cooperation with institutions. As a result of the model, a positive relationship was determined between education, experience, number of parcels, amount of land, active capital, amount of land, agricultural income, following innovations, receiving training on agriculture-related issues, participating in agriculture-related activities, following agriculture-related events on social media and cooperation with institutions and innovation index.
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