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dc.contributor.authorPérez Cárceles, María Concepción-
dc.contributor.authorGómez Gallego, Juan Cándido-
dc.contributor.authorGómez Gallego, María-
dc.date.accessioned2024-09-04T08:15:38Z-
dc.date.available2024-09-04T08:15:38Z-
dc.date.issued2017-12-29-
dc.identifier.citationApplied Economics 50(32), 3432–3440es
dc.identifier.issnPrint: 0003-6846-
dc.identifier.issnElectronic: 1466-4283-
dc.identifier.urihttp://hdl.handle.net/10201/143556-
dc.description© 2017 Informa UK Limited, trading as Taylor & Francis Group. This document is the Published version of a Published Work that appeared in final form in Applied Economics. To access the final edited and published work see https://doi.org/10.1080/00036846.2017.1420901-
dc.description.abstractHealth expenditures comprise a large part of national incomes, which explains the growing interest of government agencies in establishing efficient control and management policies in the current context of economic difficulties. One of the main problems in efficiency analysis is to determine the environmental variables that have an impact on the production process. In particular, employing data on the European and Central Asian health systems, the article demonstrates that bias corrected Data Envelopment Analysis is most appropriate measuring efficiency than traditional Data Envelopment Analysis. Bias correction, implies a higher potential resources reduction, affects the ranking of health systems and allows variables influencing efficiency which would be undiscovered with non-corrected estimation. The second stage determines that lifestyle factors, policy organization and location of countries affect the efficiency results and cause differences among the countries. The contribution of these results is particularly useful facing the decision making by governments. Their strategies should be oriented to implementing active policies to struggle against smoking and promoting health policies aimed at increasing the level of immunization in order to be more effective improving management efficiency.es
dc.formatapplication/pdfes
dc.format.extent9es
dc.languageenges
dc.publisherRoutledge. Taylor and Francis Groupes
dc.relationSin financiación externa a la Universidades
dc.rightsinfo:eu-repo/semantics/embargoedAccesses
dc.subjectHealth systemes
dc.subjectBias-corrected efficiencyes
dc.subjectData envelopment analysises
dc.subjectHealth policieses
dc.titleEnvironmental factors affecting European and Central Asian health-systems’ bias-corrected efficiencyes
dc.typeinfo:eu-repo/semantics/articlees
dc.relation.publisherversionhttps://www.tandfonline.com/doi/full/10.1080/00036846.2017.1420901-
dc.embargo.termsSi-
dc.identifier.doihttps://doi.org/10.1080/00036846.2017.1420901-
dc.contributor.departmentDepartamento de Economía Aplicada-
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