DAMPAK PERAN SEKTORAL TERHADAP PERTUMBUHAN EKONOMI DI PROVINSI BANTEN TAHUN 2001-2012
This study aims to analyze the impact of the role of industrial sector, population growth, human capital and government expenditure on economic growth, by using secondary data of GRDP , number of population, number of people who had completed secondary education and the realization of government exp...
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| Main Authors: | , |
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| Format: | Theses and Dissertations NonPeerReviewed |
| Published: |
[Yogyakarta] : Universitas Gadjah Mada
2013
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| Online Access: | https://repository.ugm.ac.id/126331/ http://etd.ugm.ac.id/index.php?mod=penelitian_detail&sub=PenelitianDetail&act=view&typ=html&buku_id=66551 |
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| Institution: | Universitas Gadjah Mada |
| Summary: | This study aims to analyze the impact of the role of industrial sector, population growth, human capital and government expenditure on economic growth, by using secondary data of GRDP , number of population, number of people who had completed secondary education and the realization of government expenditure in each districts/cities in Banten Province over the 12 years from 2001 to 2012. Analysis tool used is panel data regression. Panel data regression estimation technique used is the common effect model (CEM).
Regression results show that the role of industrial sector contradictory to economic growth in Banten Province. Variable population growth has a negative effect and no significant on economic growth in the Province of Banten, the quality of human capital is shown to have a positive and significant impact on economic growth in the Province of Banten, and government expenditure has a negative effect and no significant on economic growth in the Province of Banten. The coefficient of determination shown by the R-square of 0,41 indicates that the variation of independent variables in the model is able to explain the variation in the economic growth of 41 percent and the remaining 59 percent is explained by other variables outside the model. Probability value of the F statistic is significant at the 1 percent level of confidence indicates simultaneous independent variables significantly affect economic growth. |
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