KETIMPANGAN PENDIDIKAN ANTARKABUPATEN/KOTA DAN FAKTOR-FAKTOR YANG MEMPENGARUHINYA DI PROVINSI JAWA TENGAH, 2005-2009

This research aims to: (1) analyze the educational inequality across districts/ cities in Central Java province and decomposition of inequality among groups in the region (districts/cities and pantura/non pantura), (2) analyze the typology of the districts/cities based on three kinds of criteria: gr...

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Bibliographic Details
Main Authors: , Masyithah, , Dr. Budiono Sri Handoko, MA.
Format: Theses and Dissertations NonPeerReviewed
Published: [Yogyakarta] : Universitas Gadjah Mada 2011
Subjects:
ETD
Online Access:https://repository.ugm.ac.id/90372/
http://etd.ugm.ac.id/index.php?mod=penelitian_detail&sub=PenelitianDetail&act=view&typ=html&buku_id=53342
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Institution: Universitas Gadjah Mada
Description
Summary:This research aims to: (1) analyze the educational inequality across districts/ cities in Central Java province and decomposition of inequality among groups in the region (districts/cities and pantura/non pantura), (2) analyze the typology of the districts/cities based on three kinds of criteria: growth rate and per capita GRDP, inequality of education and per capita GRDP, educational inequality and poverty, and (3) the relationship of education Gini coefficient and averages years of schooling, the relationship of education Gini coefficient and per capita GRDP and analyze the factors that affect educational inequality. The data used were secondary data ie data on per capita GRDP, the ratio of road to the districts/cities area, educational attainment, local government spending in education, life expectancy and the percentage of poor residents of each districts/cities in Central Java province for 5 years from 2005 to 2009. Analysis tool used is the Gini coefficient, Klassen Typology, and pooled generalized least squares, with panel data techniques using a fixed effect model. Using the Gini coefficient of inequality analysis tool, found that the averages level of educational inequality in Central Java province is 0.332 (low level). During the observation period, inequality has a tendency to increase, although somewhat volatile. The biggest contributor to inequality is the disparity between regions of pantura and non pantura. Use of the typology criteria will result in differences in the classification of districts/cities in Central Java. Brebes, Pemalang, Klaten, Wonogiri and Blora District is the worst area in all three regions typology criteria. The average years of schooling is negatively related significantly to the education Gini coefficient, GRDP per capita is positively related significantly to the education Gini coefficient. Indicators of health, education spending, infrastructure and poverty affects educational inequality.