Identification of Factors Affecting Benefiting from Young Farmer Project Support: Case of the Mediterranean Region
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Tarih
2022
Yazarlar
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Yayıncı
Erişim Hakkı
info:eu-repo/semantics/openAccess
Özet
This study aims to determine the characteristics of young farmers and their businesses that benefit \rfrom and cannot benefit from young farmer support in the Mediterranean Region and determine the \rfactors that affect the benefit of young farmer project support. In 2016, a survey was conducted with \rall 160 producers who benefited from young farmer support, and a survey was conducted with 56 \rproducers who applied for young farmer project support but could not benefit from it to make \rcomparisons between groups. The tendency of farmers to benefit from the young farmer support \rproject was determined using artificial neural networks and logistic regression analysis. It was \rdetermined that the majority of the producers who received support only made animal production and \rmixed production (livetock production and vegetable production), while the majority of the producers \rwho did not receive support made only plant production. With both analysis methods, it was \rdetermined that the most critical variables that affect the benefit of young farmer project support are \rthe type of activity, the share of non-agricultural income in total income, the number of farmers in \rthe family, the education period, the status of having non-agricultural income and family size. The \rtotal correct classification rate was found to be 87.04% in the logistic regression analysis and 91.20% \rin the artificial neural network analysis, and it was seen that the classification percentages obtained \rby both methods were quite close to each other.
Açıklama
Anahtar Kelimeler
Tarımsal Ekonomi ve Politika, Ziraat Mühendisliği
Kaynak
Türk Tarım - Gıda Bilim ve Teknoloji dergisi
WoS Q Değeri
Scopus Q Değeri
Cilt
10
Sayı
1
