AI Summary & Key Takeaways
AI InsightAccording to the results obtained by the model, while the variables of household population, production of arable crops, and the existence of nonagricultural income had a significantly negative effect on participation in benefiting from machinery and equipment supports; the variables of irrigated land size, total amount of agricultural fields in the enterprise, and the existence of tractor(s) in the enterprise had a significantly positive effect.
📌 3 Key Takeaways
Özet
Increase in the level of mechanization in agriculture is a factor that promotes increase in productivity and also helps improve life standards in rural regions. In this study, factors that affect participation in benefiting from machinery and equipment supports were studied through the Ağrı province example. The main material of the study consisted of primary data that was obtained from face to face meetings carried out with agricultural enterprises, which were registered in the Farmer Registration System of Ağrı province. The Probit Regression Analysis method was used to determine participation in benefiting/not benefiting from the support, the relationships between the socioeconomic factors that affect this act, as well as the relationship degrees. According to the results obtained by the model, while the variables of household population, production of arable crops, and the existence of nonagricultural income had a significantly negative effect on participation in benefiting from machinery and equipment supports; the variables of irrigated land size, total amount of agricultural fields in the enterprise, and the existence of tractor(s) in the enterprise had a significantly positive effect.