A study on determination of factors affecting profits with quantitative models in commercial egg production

Abstract

In present study, it was aimed to demonstrate the use of profit function regression model as a decision support tool in commercial egg production. According to the estimated model results; all independent variables in the equation have important effects on the profit (Y) per kg eggs (p<0.05). It was concluded that a 1 TL increase in pullet, feed, labour, veterinary medicine and other cost as well as 1 unit increase in feed conversion rate (FCR) and mortality decreased the profit per egg. On the other hand, a 1 TL increase in egg sale price and 1 unit increase in egg yield increased the profit per unit. Production period had no effect on profit per egg. In this context, in addition to the estimation of the expected results of profit function regression model in commercial egg production, it was determined that this function could be used as a decision support tool in conditions where a change seen in price and costs

Keywords

• Decision support tool
• egg production
• profit function
• regression model

Ticari yumurta tavukçuluğu işletmelerinde karlılığı etkileyen faktörlerin kantitatif yöntemlerlebelirlenmesi üzerine bir araştırma

Abstract

Bu araştırmada, ticari yumurta üretiminde kar fonksiyonunu oluşturarak, kara etkisi olduğu düşünülen faktörlerin regresyon modeli yardımıyla belirlenmesi amaçlanmıştır. Model tahmin sonuçlarına göre, analize dahil edilen tüm bağımsız değişkenlerin istatistik açıdan kg yumurta başına kar (Y) üzerindeki etkisi önemli (p<0.05) bulunmuştur. Buna göre, işletmelerde yarka, yem, işgücü, veteriner-sağlık ve diğer giderlerde 1 TL’lik; yemden yararlanma (FCR) ve ölüm oranlarındaki 1 birimlik artışın kg yumurta başına elde edilen karı azalttığı sonucuna varılmıştır. Diğer taraftan yumurta satış fiyatındaki 1 TL’lik; yumurta randımanındaki 1 birimlik artış ise birim karı artırmaktadır. Üretim süresinin ise yumurta başına kar üzerinde bir artışa neden olmadığı tespit edilmiştir. Bu çerçevede araştırmada kurulan kar fonksiyonu regresyon modelinin ticari yumurta üretiminde de sonuçların tahmini yanında, fiyatların ve maliyet unsurlarının değişebileceği durumlarda karar destekleme aracı olarak kullanılabileceği belirlenmiştir

Keywords

• Kar fonksiyonu
• karar destekleme aracı
• regresyon modeli
• yumurta üretimi

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