Summary: | This study aims to analyze the factors that influence human development.
The subjects were six District/Municipal reasonable legal in Jakarta, years of
observation 2006-2011. The data used are secondary data, namely the Human
Development Index (HDI), economic growth, government spending in the
education sector, government spending in the health sector, the number of health
workers and the unemployment rate. Analysis instrument is used to determine the
factors that influence human development in Jakarta is the panel data regression.
Panel data regression estimation technique that used is a common effect model
(CEM).
The research found that there is no effect of economic growth variable to
the HDI (probability 0,2932). There is a positive and significant of government
spending in the education sector variable to the HDI (probability 0,0000). There is
a positive and significant effect of government spending in the health sector
variable to the HDI (probability 0,0003). There is a positive and significant effect
of the number of health workers variable to the HDI (probability 0,0114). There is
a negative and significant effect of unemployment rate variable to the HDI
(probability 0,0126). The coefficient of determination shown by the R-square of
0,979 indicates that the variation of the independent variables in the model can
explain the variation in HDI level of 97,9 percent, the remaining 2,10 percent is
explained by other variables out of the model.
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