Technical efficiency in public hospitals in Kenya: a two –stage data envelopment analysis

dc.contributor.authorMwihia, Francis Kimani
dc.contributor.authorM’ Imunya, James Machoki
dc.contributor.authorMwabu, Germano
dc.contributor.authorKioko, Urbanus M.
dc.contributor.authorEstambale, Benson B.
dc.date.accessioned2018-06-14T11:22:15Z
dc.date.available2018-06-14T11:22:15Z
dc.date.issued2018-05-10
dc.descriptiondoi:10.5539/ijef.v10n6p141en_US
dc.description.abstractThe paper uses the DEA technique to estimate efficiency scores in Kenyan public hospitals and then applies the Tobit regression to study inter-hospital variation in the scores. The DEA analysis reveals that small hospitals are more efficient than large hospitals, with efficiency levels ranging from 74-91% in small DMUs and from 57-78% in large DMUs. Tobit regression analysis shows efficiency scores are negatively correlated with the hospital’s distance from the manager’s residence and from the capital city. Internal and external supervisions are suggested as mechanisms for increasing performance of hospitals.en_US
dc.identifier.issn1916971X
dc.identifier.issn19169728
dc.identifier.urihttp://www.ccsenet.org/journal/index.php/ijef/article/view/74761
dc.identifier.urihttp://ir.jooust.ac.ke:8080/xmlui/handle/123456789/1277
dc.language.isoenen_US
dc.publisherInternational Journal of Economics and Financeen_US
dc.subjecthospitalsen_US
dc.subjecttechnicalen_US
dc.subjectscale efficiencyen_US
dc.subjectDEAen_US
dc.subjectTobit regressionen_US
dc.subjecthospital supervisionen_US
dc.subjectKenyaen_US
dc.titleTechnical efficiency in public hospitals in Kenya: a two –stage data envelopment analysisen_US
dc.typeArticleen_US

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