This study aims to evaluate the economic eciency of Nursing Homes owned by 96 Santas Casas da Misericórdia (SCM) and the determinants that inuenced their eciency in 2012 and 2013. The SCM are the oldest non-prot entities, which belong to Third Sector in Portugal, provide this social response and receive signicant nancial contributions annually from the state. The study is developed in two stages. In the rst stage, the eciency scores were calculated through the non-parametric DEA technique. In the second stage, Tobit regression is used to verify the eect of certain organizational variables on eciency, namely the number of users and existence of Nursing Home chains. The results of the DEA model show that the eciency average is 81.9%, and only 10 out of 96 Nursing Homes are ecient. Tobit regression shows that the number of users has a positive eect on the eciency of Nursing Homes, whereas the existence of Nursing Home chains aects their eciency negatively.
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