Measuring cıs health systems using the stochastic frontıer analysis (sfa)

dc.contributor.authorYeşilyurt, Özgür
dc.contributor.authorSelamzade, Fuad
dc.date.accessioned2021-04-10T16:37:25Z
dc.date.available2021-04-10T16:37:25Z
dc.date.issued2020
dc.departmentFakülteler, Sağlık Bilimleri Fakültesi, Sağlık Yönetimi Bölümüen_US
dc.descriptionSalamov, Fuad/0000-0002-2436-8948en_US
dc.description.abstractThe Commonwealth of Independent States (CIS) was founded in 1991 after the dissolution of the Union of Soviet Socialist Republics (USSR). The member countries are Azerbaijan, Belarus, Armenia, Kazakhstan, Kyrgyzstan, Moldova, Uzbekistan, Russia, Tajikistan, Turkmenistan and Ukraine. Turkmenistan resigned its full membership status in 2005 and changed its CIS standing to observer member. Drawing on the methods of Least Squares and Maximum Likelihood Estimation of Stochastic Frontier Analysis, we made estimations to find efficiency scores in the health sector by using the data for the period from 2010 to 2015 of the countries that are members of the Commonwealth of Independent States. In the study, we used various factors as dependent and independent variables, including the number of doctors, medical personnel and hospital beds per ten thousand people, the life expectancy at birth, under-five mortality rate and the incidence of tuberculosis per one hundred thousand people. We have found that such factor as the number of doctors effectively influences reduction of the under-five mortality rates and the incidence of tuberculosis, while the factor "the number of hospital beds" is not very effective. Finally, for the CIS countries we made recommendations to popularize the health insurance, to change the old Soviet form of health management in public hospitals, and to implement liberal socio-economic policies.en_US
dc.identifier.doi10.17059/2020-1-5
dc.identifier.endpage68en_US
dc.identifier.issn2072-6414
dc.identifier.issn2411-1406
dc.identifier.issue1en_US
dc.identifier.scopus2-s2.0-85085075294
dc.identifier.scopusqualityN/A
dc.identifier.startpage59en_US
dc.identifier.urihttps://doi.org/10.17059/2020-1-5
dc.identifier.urihttps://hdl.handle.net/20.500.12639/2303
dc.identifier.volume16en_US
dc.identifier.wosWOS:000522265700005
dc.identifier.wosqualityQ3
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.institutionauthorYeşilyurt, Özgür
dc.institutionauthorSelamzade, Fuad
dc.language.isoen
dc.publisherRussian Acad Sciences, Ural Branch, Inst Economicsen_US
dc.relation.ispartofEkonomika Regiona-Economy Of Regionen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectCISen_US
dc.subjectEfficiencyen_US
dc.subjectStochastic Frontier Analysisen_US
dc.subjectLeast Squaresen_US
dc.subjectMaximum Likelihood Estimationen_US
dc.subjectSocio-Economic Policiesen_US
dc.subjectHealth Systemsen_US
dc.subjectProductivityen_US
dc.subjectNumber of Doctorsen_US
dc.subjectNumber of Nursesen_US
dc.titleMeasuring cıs health systems using the stochastic frontıer analysis (sfa)en_US
dc.typeArticle

Dosyalar