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All Journal JEJAK AJIE (Asian Journal of Innovation and Entrepreneurship)
ANWAR, AMINUDDIN
Program Studi Ekonomi Pembangunan, Universitas Islam Indonesia
Economics, Econometrics & Finance

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Empirical Analysis of Human Capital Convergence in Indonesia Anwar, Aminuddin
JEJAK: Jurnal Ekonomi dan Kebijakan Vol 11, No 2 (2018): September 2018
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/jejak.v11i2.16053

Abstract

This research analyzes the convergence hypothesis that applied to human capital which is one of important factor for economic development. This model applied to analyze the condition of provinces in Indonesia that have different conditions of human capital between regions for 33 provinces in Indonesia for two period between 2004 to 2010 and 2010 to 2016. This study uses data panels in estimating with fixed effects model as the best model choice. The result of the analysis for sigma convergence model is a decrease of global dispersion of human capital growth in Indonesia for the both periods. The results of beta convergence confirm the existence of absolute and conditional convergence model for the both periods. The determinants of human capital convergence in first period are economic growth, poverty, illiteracy, access to sanitation, access to clean water, number of health centers, and number of universities. Meanwhile different conditions are shown in the second period where the determinants of conditional convergence of human capital are determined only by economic growth, poverty, and sanitation access.
KETIMPANGAN SPASIAL PEMBANGUNAN EKONOMI DAN MODAL MANUSIA DI PULAU JAWA: PENDEKATAN EXPLATORY SPATIAL DATA ANALYSIS AMINUDDIN ANWAR
Asian Journal of Innovation and Entrepreneurship Vol 2 No 02 (2017): May 2017
Publisher : UII

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Abstract

This research is an empirical spatial analysis of economic and social variables in the counties and cities in Java. The main variables used in this study is the economic growth, the average length of school and life expectancy. The analysis tool for estimating by using Geographic Information System (GIS) and Explatory Spatial Data Analysis (ESDA). Analysis with GIS is to map the distribution of socio-economic indicators with distribution quantile, while ESDA analyzing the condition of social and economic indicators with the Global Moran's I Statistic Indicator and Local Spatial Association (LISA). The results of the analysis of the spatial distribution of economic and human capital development with Geographical Information System (GIS) showing the form of inequality between economic development and human capital. The results of the analysis of the spatial pattern of economic development and global human capital by moran's i statistic shows the pattern shape clustered in urban and peri-urban areas. The results of the analysis of the spatial pattern of economic development and human capital with a local indicator of spatial association (LISA) shows the shape of the pattern of hot spots in urban areas especially in Jakarta, Yogyakarta and Surabaya and patterns of cold spots in areas that have the characteristics of rural districts.
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