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dc.contributor.authorSuripto (57205325674); Firmansyah (57191416184); Sugiyanto, F.X. (57193768454)
dc.contributor.editor-
dc.date.accessioned2025-02-11T16:04:58Z
dc.date.available2025-02-11T16:04:58Z
dc.date.issued2020
dc.identifier.isbn-
dc.identifier.issn17533627
dc.identifier.urihttps://doi.org/10.1504/IJBG.2020.105166
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85079790415&doi=10.1504%2fIJBG.2020.105166&partnerID=40&md5=42c4a89d23b8d2a30705d8292269a00e
dc.identifier.urihttp://digilib.fisipol.ugm.ac.id/repo/handle/15717717/21677
dc.description.abstractThis aim of this study was to determine the impact of human capital variables on the probability of poor families. The research was conducted based on the data collected in SUSENAS in province of special region of Yogyakarta, analysed using logit model and estimated using maximum likelihood estimator (MLE) method. The number of data was 3,606 families. The result showed that the cost variable of disease prevention (BPP), scholarships (BP), food security (JP), health insurance (AK), average length of schooling (RLS), and cost for non-formal education (BPN) affect and is statistically significant to poverty status in 2013 at 5% significance. Also, Calorie consumption per capita (KK) and protein consumption per capita (KP) affect on poverty status at 10% significance in 2013. © 2020 Inderscience Enterprises Ltd.
dc.language.isoEnglish
dc.publisherInternational Journal of Business and Globalisation
dc.titlePoverty viewed from the perspective of domestic production in Yogyakarta: The Solow growth model approach
dc.typeReview
dc.description.pages10.0
dc.description.doi10.1504/IJBG.2020.105166
dc.title.book-
dc.link.scopushttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85079790415&doi=10.1504%2fIJBG.2020.105166&partnerID=40&md5=42c4a89d23b8d2a30705d8292269a00e


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