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In the present study, the consumer perception and consumption level of Geographically Indicated Products (hereafter GIP) in the Tokat province of Turkey has been investigated. The data were collected from 382 consumers through a questionnaire. Artificial neural networks and decision tree models were used to determine the factors affecting the consumers' consumption of the specified products. Results indicated that the variables of monthly walnut consumption, whether Niksar walnuts are known to be a GIP, monthly income level, the willingness to pay more for a GIP and whether they read labels on GIP packaged products affected consumption. [ABSTRACT FROM AUTHOR]

This study aims to detect the factors which are effective on the adoption and the implementation of the agricultural innovations by the farmers who are focused on the beekeeping in the Milas district Muğla province of Turkey. For this aim, a questionnaire is made with 62 farmers who are determined with the method of proportional sampling. The method of Logistic Regression Analysis is used with the aim of the determination of the factors which are effective on the implementation of the innovations related to the beekeeping by farmers. According to the results of the analysis, it is determined that young farmers, farmers who have problems related to production, who are members of cooperative and who do not store the honey implement the agricultural innovations which are related to beekeeping more. [ABSTRACT FROM AUTHOR]