Determination of Factors Affecting Participation of The Members in The General Assembly Meeting of Agricultural Organizations Using CHAID Algorithm: Igdir Province Example

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Kilic Topuz B., EYDURAN E., ERTÜRK Y. E., Bozoğlu M.

KSU TARIM VE DOGA DERGISI-KSU JOURNAL OF AGRICULTURE AND NATURE, cilt.25, sa.2, ss.380-391, 2022 (ESCI) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 25 Sayı: 2
  • Basım Tarihi: 2022
  • Doi Numarası: 10.18016/ksutarimdoga.vi.915325
  • Dergi Adı: KSU TARIM VE DOGA DERGISI-KSU JOURNAL OF AGRICULTURE AND NATURE
  • Derginin Tarandığı İndeksler: Emerging Sources Citation Index (ESCI), TR DİZİN (ULAKBİM)
  • Sayfa Sayıları: ss.380-391
  • Anahtar Kelimeler: Regression tree, CHAID algorithm, Agricultural organization, General assembly meeting, Igdir, NUTRIENT-REQUIREMENTS, COOPERATIVES, GOVERNANCE, TRUST
  • Ondokuz Mayıs Üniversitesi Adresli: Evet

Özet

The purpose of this study was to determine the factors influencing the farms' participation to general assembly. The primary data of this study was obtained via the face to face questionnaires from the selected 155 members of the agricultural organizations operating in Igdir province using the simple random sampling method. CHAID algorithm was utilized in determination of the factors influencing the farms' participation to general assembly on the basis of ten cross validation. Suitability of the classification algorithm was established by model evaluation criteria i.e. sensitivity, specificity, accuracy rates and area under ROC curve. The classification algorithm results revealed that the total cohesion score of members to their organizations, amount of land of members, and the distance of the business to the organizations had statistically effects on the participation to general assembly. In order to increase the participation of the general assembly meetings, it is deemed to necessary to increase their cohesion levels to their organizations and should be maximum 15 km of the distance between members organizations. As a result, it is recommended to use the CART algorithm in the characterization of members of agricultural organization in general assembly meetings.