Best Alternative Models to Increase Local Product Consumption A Case Study in Cukurova University

Abstract

The scope of the study is to analyze consumer profiles who prefers local food and motives to buy local food. The data of the study have been obtained through face to face interviews with the university students consisting 93. The method of ANP (Analytical Network Process) the weights used for to determine consumers priorities for local foods. The results of ANP, was used to determine the best design, with the method of “the best combinations of alternatives”(BeCA). BeCA gives optimum homogeneous preference combinations with the aid of 0-1 integer programming. The best combinations that were obtained were analyzed by selected appropriate statistical tests. Considering the results of the study, firstly; 39 students over 93 are assigned to 3 best groups. Secondly, students preferred fruits which are produced with domestic seed and local labour. Furthermore, students stated that they prefer organic and healthy foods –mostly fruits- and they want to reach that type of foods in their local food markets. Finally, students wanted to be informed about the foods by the TV broadcasts.