The Effect of Expenses on Education, Health, Public Services, And Investment On Poverty In East Java Province In 2014-2018

International Journal of Economics and Management Studies
© 2020 by SSRG - IJEMS Journal
Volume 7 Issue 4
Year of Publication : 2020
Authors : Gabriella Stefanny, Karim Kamil, Mauluha Sandra, Imam Mukhlis
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How to Cite?

Gabriella Stefanny, Karim Kamil, Mauluha Sandra, Imam Mukhlis, "The Effect of Expenses on Education, Health, Public Services, And Investment On Poverty In East Java Province In 2014-2018," SSRG International Journal of Economics and Management Studies, vol. 7,  no. 4, pp. 188-195, 2020. Crossref, https://doi.org/10.14445/23939125/IJEMS-V7I4P123

Abstract:

Poverty is a very issue to be discussed in Indonesia. The government has not turned a blind eye to it; thus, many efforts have been made to alleviate poverty. Some examples of which are the existence of government subsidies in the health and education sectors, which is very helpful for people to get access to education and health easily. The government also continues to improve the public service system to serve the community better. The community itself should strive to avoid poverty; one of the ways is to invest. This investment, to be particularly in assets, is done in the hope that there will be long-term benefits obtained in the future. This study aims to determine whether there is an influence between education spending, health spending, public services, and investments towards poverty. The results of this study are partial; the variable education spending has a significant positive effect on poverty, the variable of health spending, public services, and investment each have a significantly negative effect on poverty. Simultaneously, the variables of education, health, public services, and investment have a significant effect on poverty. Seeing the results of the coefficient of determination test, it shows that the ability of the variable expenditure on education, health, public services, and investment in picturing poverty variables is 99.57%, and the rest-0.43%-is explained by other variables which are not included in the model.

Keywords:

Poverty, Education, Health, Public Services, Investment.

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