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Determinants of nursing homes performance: the case of portuguese Santas Casas da Misericórdia

2017Conference object Open access
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dc.contributor.authorVeloso, André Filipe Santos
dc.contributor.authorVaz, Clara B.
dc.contributor.authorAlves, Jorge
dc.date.accessioned2018-11-19T11:48:21Z
dc.date.available2018-11-19T11:48:21Z
dc.date.issued2017
dc.description.abstractThis study aims to evaluate the economic efficiency of Nursing Homes owned by 96 Santas Casas da Misericórdia (SCM) and the determinants that influenced their efficiency in 2012 and 2013. The SCM are the oldest non-profit entities, which belong to Third Sector in Portugal, provide this social response and receive significant financial contributions annually from the state. The study is developed in two stages. In the first stage, the efficiency scores were calculated through the non-parametric DEA technique. In the second stage, Tobit regression is used to verify the effect of certain organizational variables on efficiency, namely the number of users and existence of Nursing Home chains. The results of the DEA model show that the efficiency average is 81.9%, and only 10 out of 96 Nursing Homes are efficient. Tobit regression shows that the number of users has a positive effect on the efficiency of Nursing Homes, whereas the existence of Nursing Home chains affects their efficiency negatively.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationVeloso, André; Vaz, Clara B.; Alves, Jorge (2017). Determinants of nursing homes performance: the case of portuguese Santas Casas da Misericórdia. In XVIII Congresso APDIO. Valença - Portugalpt_PT
dc.identifier.urihttp://hdl.handle.net/10198/18206
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectData envelopment analysispt_PT
dc.subjectEfficiencypt_PT
dc.subjectNursing homespt_PT
dc.subjectThird sectorpt_PT
dc.titleDeterminants of nursing homes performance: the case of portuguese Santas Casas da Misericórdiapt_PT
dc.typeconference object
dspace.entity.typePublication
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/5876/UID%2FEEA%2F50014%2F2013/PT
oaire.citation.conferencePlaceValença - Portugalpt_PT
oaire.citation.titleXVIII Congresso APDIOpt_PT
oaire.fundingStream5876
person.familyNameVaz
person.familyNameAlves
person.givenNameClara B.
person.givenNameJorge
person.identifierR-001-FQC
person.identifier.ciencia-id9611-3386-E516
person.identifier.ciencia-id2718-FF3E-8B6B
person.identifier.orcid0000-0001-9862-6068
person.identifier.orcid0000-0002-5168-8795
person.identifier.ridF-1519-2016
person.identifier.ridW-4214-2017
person.identifier.scopus-author-id56352045500
person.identifier.scopus-author-id57197042752
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccesspt_PT
rcaap.typeconferenceObjectpt_PT
relation.isAuthorOfPublication34bc350c-28d9-4b06-9874-b2b0dba58d1d
relation.isAuthorOfPublication21573167-7f60-4b0c-9777-f75aa3b53025
relation.isAuthorOfPublication.latestForDiscovery34bc350c-28d9-4b06-9874-b2b0dba58d1d
relation.isProjectOfPublication92206772-3430-46e6-be02-e645e86b61ff
relation.isProjectOfPublication.latestForDiscovery92206772-3430-46e6-be02-e645e86b61ff

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