Analysis of the Efficiency Determinants of Health Systems in OECD Countries by DEA and Panel Tobit

dc.authoridCAFRI, REYHAN/0000-0002-6271-5330
dc.authorscopusid55318691300
dc.authorscopusid56835664000
dc.authorwosidcafrı, reyhan/AAA-7230-2022
dc.authorwosidkaya samut, Pınar/I-6443-2018
dc.contributor.authorSamut, Pınar Kaya
dc.contributor.authorCafri, Reyhan
dc.contributor.otherDepartment of Business
dc.date.accessioned2024-07-05T14:30:55Z
dc.date.available2024-07-05T14:30:55Z
dc.date.issued2016
dc.departmentAtılım Universityen_US
dc.department-temp[Samut, Pinar Kaya] Atilim Univ, Fac Management, Dept Management, TR-06836 Ankara, Turkey; [Cafri, Reyhan] Cankiri Karatekin Univ, Dept Econ, Cankiri, Turkeyen_US
dc.descriptionCAFRI, REYHAN/0000-0002-6271-5330en_US
dc.description.abstractIn recent years, almost all countries around the world face budget cuts in health spending, which force public and private hospitals in these countries to use their resources effectively and to provide more efficient health care. In this context, the present study evaluates hospital efficiency across 29 OECD countries between 2000 and 2010 and investigates the determinants affecting hospitals' activities. In the first stage of the two-stage performance analysis, efficiency scores of the hospitals were measured by data envelopment analysis (DEA) while, in the second stage, Panel Tobit Analysis was used to identify the environmental factors that affect the efficiency scores obtained in the first stage. The paper also explores the changes in the factor efficiency compared to the previous years by decomposition through the Malmquist Productivity Index. In the first stage, it was found that the efficiency scores achieved after 2000 began to decline in 2004 and reached their lowest levels between 2009 and 2010. The highest slack values were found in the figures regarding tomography, MR, and nurses, respectively. In the second stage, due to the censored nature of the dependent variable obtained by DEA, in order to achieve consistent and unbiased estimators, the use of Panel Tobit Analysis was proposed. Estimations showed that, among the environmental factors that secondarily affect hospital efficiency, income, education and number of private hospitals affect efficiency in a positive way, while the effects of public and private health expenses and the number of public hospitals on such efficiency was negative.en_US
dc.identifier.citation102
dc.identifier.doi10.1007/s11205-015-1094-3
dc.identifier.endpage132en_US
dc.identifier.issn0303-8300
dc.identifier.issn1573-0921
dc.identifier.issue1en_US
dc.identifier.scopus2-s2.0-84941367202
dc.identifier.startpage113en_US
dc.identifier.urihttps://doi.org/10.1007/s11205-015-1094-3
dc.identifier.urihttps://hdl.handle.net/20.500.14411/629
dc.identifier.volume129en_US
dc.identifier.wosWOS:000383154200008
dc.identifier.wosqualityQ1
dc.language.isoenen_US
dc.publisherSpringeren_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectHealth services sectoren_US
dc.subjectData envelopment analysisen_US
dc.subjectMalmquist Productivity Indexen_US
dc.subjectPanel Tobit Modelen_US
dc.titleAnalysis of the Efficiency Determinants of Health Systems in OECD Countries by DEA and Panel Tobiten_US
dc.typeArticleen_US
dspace.entity.typePublication
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relation.isOrgUnitOfPublication.latestForDiscovery6fecf408-e340-4cbc-a391-6c8984c45f5e

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