Assessment of the effect of beef and mutton meat prices on chicken meat prices in Turkey using different regression models and the decision tree algorithm

dc.authorid0000-0003-3732-0529
dc.authorid0000-0003-4862-1706
dc.authorid0000-0001-5888-242X
dc.authorid0000-0002-4060-7048
dc.contributor.authorAkın, Ahmet Cumhur
dc.contributor.authorArıkan, Mehmet Saltuk
dc.contributor.authorÇevrimli, Mustafa Bahadır
dc.contributor.authorTekindal, Mustafa Agah
dc.date.accessioned2020-03-26T20:20:08Z
dc.date.available2020-03-26T20:20:08Z
dc.date.issued2020
dc.departmentSelçuk Üniversitesi, Veteriner Fakültesi, Zootekni ve Hayvan Besleme Bölümüen_US
dc.description.abstractDetermination of the extent to which increases in the price of red meat is reflected in the price of chicken meat will shed light to the sector in many areas, including production planning. The purpose of this study is to present how the increases in the price of red meat are reflected in the consumer prices of chicken meat and to determine the estimation rate of the consumer prices of chicken meat by analysing the monthly average consumer prices of chicken meat, beef and mutton (TRY/kg) in Turkey between January 2005 and September 2018 using different regression models and the decision tree algorithm. The results of the study indicate that in predicting the prices of chicken meat using the prices of beef, the cubic regression equation gives accurate predictions at a rate of 91.4%, and in predicting the prices of chicken meat using the prices of mutton, the cubic regression equation gives accurate predictions at a rate of 89.9%. It was estimated that 1% increase in the prices of beef would result in an increase by 1.35% in the prices of chicken meat, and a 1% increase in the prices of mutton would result in an increase by 0.39% in the prices of chicken meat.en_US
dc.identifier.citationAkın, A. C., Arıkan, M S., Çevrimli, M. B., Tekindal, M. A. (2020). Assessment of the Effect of Beef and Mutton Meat Prices on Chicken Meat Prices in Turkey Using Different Regression Models and the Decision Tree Algorithm. Kafkas Üniversitesi Veteriner Fakültesi Dergisi, 26(1), 47-52.
dc.identifier.doi10.9775/kvfd.2019.22195en_US
dc.identifier.endpage52en_US
dc.identifier.issn1300-6045en_US
dc.identifier.issue1en_US
dc.identifier.scopusqualityQ3en_US
dc.identifier.startpage47en_US
dc.identifier.urihttps://dx.doi.org/10.9775/kvfd.2019.22195
dc.identifier.urihttps://hdl.handle.net/20.500.12395/38510
dc.identifier.volume26en_US
dc.identifier.wosWOS:000489577400007en_US
dc.identifier.wosqualityQ4en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.institutionauthorCevrimli, Mustafa Bahadir
dc.institutionauthorTekindal, Mustafa Agah
dc.language.isoenen_US
dc.publisherKAFKAS UNIV, VETERINER FAKULTESI DERGISIen_US
dc.relation.ispartofKAFKAS UNIVERSITESI VETERINER FAKULTESI DERGISIen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.selcuk20240510_oaigen_US
dc.subjectRed meaten_US
dc.subjectChicken meaten_US
dc.subjectPriceen_US
dc.subjectRegressionen_US
dc.subjectTurkeyen_US
dc.titleAssessment of the effect of beef and mutton meat prices on chicken meat prices in Turkey using different regression models and the decision tree algorithmen_US
dc.typeArticleen_US

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