PENGARUH PENGELUARAN PEMERINTAH (BELANJA MODAL) DAN ANGKATAN KERJA TERHADAP PERTUMBUHAN EKONOMI DI PROVINSI PAPUA, 2008-2011

This study aimed to determine the effect of government capital expenditures in infrastructure, health, education and labor force to economic growth. The subjects were 17 districts/cities in Papua province with years of observation in 2008-2011. The data used in this study is economic growth Papua, P...

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Bibliographic Details
Main Authors: , Jimmy Steven Wanimbo, , Drs. Ahmad Jamli, M.A.
Format: Theses and Dissertations NonPeerReviewed
Published: [Yogyakarta] : Universitas Gadjah Mada 2013
Subjects:
ETD
Online Access:https://repository.ugm.ac.id/123555/
http://etd.ugm.ac.id/index.php?mod=penelitian_detail&sub=PenelitianDetail&act=view&typ=html&buku_id=63667
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Institution: Universitas Gadjah Mada
Description
Summary:This study aimed to determine the effect of government capital expenditures in infrastructure, health, education and labor force to economic growth. The subjects were 17 districts/cities in Papua province with years of observation in 2008-2011. The data used in this study is economic growth Papua, Papua provincial government spending in infrastructure, health, education, labor force data Papua. Analysis tools are used to examine the effect of government spending on infrastructure, health, education and labor force are panel data regression. Panel data regression estimation technique used is a common effect model (CEM). Results The study found that government spending on infrastructure has a positive and significant effect on economic growth in Papua province, government spending on health has a negative and significant effect on economic growth in the province of Papua, the effect of government spending on education has a negative effect and no significant effect on economic growth in Papua and has a work force of positf and significant effect on economic growth in the province of Papua. Coefficient of determination shown by the R-square of 0,15 indicates that the variation of independent variables in the model can explain the variation in economic growth of 15 percent and the remaining 75 percent is explained by other variables outside the model. F probability values were statistically significant at the 5 percent level of confidence indicates simultaneous independent variables significantly affect economic growth.