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.
This study analyses implication of COVID- 19 pandemics in the agricultural sector of Turkey. In the study taken measures in the sector are considered. The focus of the paper is twofold. The first objective is to take a glance at COVID 19, how it started, and how affected sectors or businesses. This aim supported by the literature review which is getting a shape recently, on the grounds founded papers were limited. It can be seen that generally all countries suffered from the same problems apart from the countries sectors have problems in common. Lastly, we tried to focus on the agricultural sector especially in Turkey and we presented precautions taken agricultural sector in Turkey. In addition to this to the objective, we tried to synthesize all our findings and present suggestions in case this process prolonged. The originality of the paper comes from it is the first study that draws a general outline for Turkey’s agricultural sector considering the pandemic.
Crop pattern selection is a major agricultural decision problem. As it affects the society as well as the economic and environmental conditions, to prevent failures and imbalance, a scientific approach should be utilized instead of utilizing intuitive or experimental ones which are commonly used by some farmers. Accordingly, selection of the right crops necessitates the usage of a set of evaluation criteria. This study proposes a multiple criteria decision making approach based on the AHP method to aid farmers in their stone fruit pattern selection problem. To develop the decision hierarchy, a literature survey was conducted and opinions of the experts were collected. As a case study, the owner of an agricultural company planting stone fruits in southern region of Turkey participated in our study as a decision maker and replied pairwise comparison questions. As a result, the priorities of the alternatives plum, peach, apricot, and nectarine as well as the corresponding criteria to evaluate those stone fruits were revealed. The proposed model may be used for other farmers producing the same product in that region. The approach is flexible, by updating the decision hierarchy due to characteristics of different regions or crop patterns, it may be used at other crop pattern selection problems.
In agriculture it is very important to take decisions. Especially big land farmers who export their products should be more careful about this process. This study is a unique study in the agricultural economics literature. The approach combines two methods AHP and Integer Programming. Face to face survey conducted with 115 farmers in the region who export Citrus. According to AHP results, farmers' answer generally did not change in terms of market selection. Considering production target prefer high income to low cost; quality to quantity. They prefer conventional production over other types of production. Certificated rootstock subsidy is the most important type of support for farmers. In addition, the most important support is marketing support. Considering Integer Programming results there are 7 farmers who are satisfied if they can get input support and per decare subsidy; if they can produce targeting quality and high income; if they choose biological production; if they can get payment security; if they can sell their products to international market with cooperative. Farmers' assigned to the groups number are low it shows that there is not a consensus among farmers.
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