Please use this identifier to cite or link to this item: https://repository.unej.ac.id/xmlui/handle/123456789/87173
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dc.contributor.authorMarantika, Debby-
dc.contributor.authorHadi P, Teguh-
dc.contributor.authorViphindrartin, Sebastiana-
dc.date.accessioned2018-08-23T07:13:26Z-
dc.date.available2018-08-23T07:13:26Z-
dc.date.issued2018-08-23-
dc.identifier.issn1858-1307-
dc.identifier.urihttp://repository.unej.ac.id/handle/123456789/87173-
dc.descriptionMediaTrend 13 (1) 2018 p. 31-46en_US
dc.description.abstractThe purpose of this study is to analyze the impact of regional disparity by including spatial elements, and the variables that influence the level of disparity among provinces such as Gini Index as the dependent variable, PAD, GRDP per Capita, DAU, PMDN and PMA as independent variables. The data used in this research is panel data which then averaged by using spatial analysis method, where the selected model is spatial lag model by using Geoda software aid. The results of the analysis indicate that in each study area indicated spatial aspect, that the spatial aspect influences the level of regional disparity in Indonesia with negative direction. That is, if there is an increase of gini index value in the study area, then spatially, it will decrease the value of gini index in neighboring region. The independent variable in Region I PDRB Per Capita, DAU has significant influence, while other variables have no significant effect, Region II shows that all the variables significantly influence, while Region III PAD and PMDN have significant effect, other variables have no significant effect.en_US
dc.language.isoiden_US
dc.subjectDisparityen_US
dc.subjectGini Indexen_US
dc.subjectSpatialen_US
dc.subjectSpatial Lag.en_US
dc.titleDisparitas Regional Antar Provinsi Di Indonesia 2011 – 2015 (Model Regresi Spasial)en_US
dc.typeArticleen_US
Appears in Collections:LSP-Jurnal Ilmiah Dosen

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