scholarly journals Government Spending Contributions on per Capita Income and its Effect toward the Human Development Index (Comparative Study between Western Indonesia and Central & East Indonesia)

2015 ◽  
Vol 6 (3) ◽  
pp. 43-49
Author(s):  
Eleonora Sofilda ◽  
Muhammad Zilal Hamzah .

In many countries, include Indonesia, a centralized government has a sizeable negative impact on inequality of development. During the New Regime Order era with a centralized system, Indonesia's development is concentrated in the western part of Indonesia which had led to inequality in terms of per capita income and human development. To solve these problems, one of the economic reforms undertaken by the Indonesia government is changes the system from a centralized to a decentralized system. Through the fiscal decentralization under Law No. 22/99 and 25/99, they hope to improve people's welfare and reduce inequality. This research is aim to assess the effect of government spending and investment on the growth of per capita income and see the effect of the growth of per capita income towards Human Development Index (HDI). The method used is multiple regression with panel data and the study from year 2007-2012 by dividing the two groups of regions ie: western Indonesia and central&eastern Indonesia. Based on the research results, for the western Indonesia, goods and services expenditure has a significant effect on the per capita income growth and per capita income growth significantly affect the human development index (HDI). For the central and eastern Indonesia, domestic and foreign direct investment (DDI and FDI), goods and services expenditure, and capital expenditures have a significant effect toward per capita income growth and per capita income growth effect significantly toward the HDI.

2021 ◽  
Vol 8 (4) ◽  
pp. 161-170
Author(s):  
Elisabet Novita Barus ◽  
HB. Tarmizi ◽  
Rahmanta .

This study aims to analyze the Factors That Affect Human Development Index in the City of Binjai with variable observations shopping area in the field of health, education, population, and income per capita. This research is causality by performing multiple regression analysis (Multiple Regression Analysis). The Data used is the data of the year 2005 up to 2019 are presented per semester (n=30 samples). The results of the study concluded that the shopping area in the field of health, expenditure on education, expenditure in the field of population, and per capita income is able to influence the human development index in the local government of the City of Binjai. Based on the value of the coefficient of determination (r-square) of all the variables, it was concluded that per capita income is a variable dominant that affect the human development index in the local government of the City of Binjai. Keywords: The Human Development Index, A Shopping Area In The Field Of Health, Expenditure On Education, Expenditure In The Field Of Population, And Per Capita Income.


2020 ◽  
Author(s):  
Farida Rahmawati ◽  
Meirna Nur Intan

Government spending is expected to improve the Human Development Index (HDI) in order to increase public welfare. Theoretically, if the number of government expenditure is increasing then the Human Development Index (HDI) will be higher as well. Based on earlier research, it was found few differences about the result of influence Government spending to Human Index. The purpose of the study was to analyze the influence of government spending and Gross Domestic Product to the Human Development Index of East Java Province (during 2014-2017). The research method using descriptive quantitative approach. Local government expenditures were analyzed by direct local government spending by looking at three aspects namely employees expenditure, spending on goods and services, and capital expenditures. Whereas, for the GDP per capita income is analyzed based on three aspects: production, income, and expenditure. Then the human development index to see the effects of these two variables based on three dimensions that exist in the human development index healthiness dimensions, dimensions of knowledge, and economic dimensions. The results showed that the local government spending income and the GDP per capita income has a significant effect on the human development index. Government spending has a significant influence on the educational dimension, while GDP per capita has a significant effect on the purchasing power of people thus affecting the economic dimension. Keywords: Government spending, Gross Domestic Product, Human Development Index


Society ◽  
2020 ◽  
Vol 8 (2) ◽  
pp. 596-610
Author(s):  
Prince Charles Heston Runtunuwu

This research aims to determine the effect of inflation, per capita income. The method used is a quantitative method with a descriptive approach. The data analysis technique uses multiple linear regression models, which are continued by the classical assumption test. This research uses secondary data, precisely ten years of time-series data from 2010-2019 obtained from the Central Bureau of Statistics, books, literature, the internet, records, and other sources related. The research sample consisted of 40 data taken per quarter, from 2010-2019. The analytical method used in this research is multiple linear regressions. The results showed that inflation had a negative and insignificant effect on Human Development Index (HDI). In contrast, per capita income and unemployment had a negative and significant effect on Human Development Index (HDI). Inflation, per capita income, and unemployment significantly affected the Human Development Index (HDI) in Ternate City. The independent variable’s determination (R Square) on the dependent variable is 0.836 or 83.6%. It means inflation, per capita income, and unemployment can affect the Human Development Index (HDI) in Ternate City at 83.6%, remaining 16.4% by other factors.


2021 ◽  
Vol 56 (2) ◽  
pp. 232-247
Author(s):  
Larissa Guarany Ramalho Elias ◽  
Marília Carvalho de Melo ◽  
Ana Silvia Pereira Santos ◽  
Leonardo Castro Maia

Equitable access to water and sanitation is still a challenge worldwide and in Brazil. In this sense, the concept of environmental justice was used in this paper as a basis for establishing an Integrated Territorial Assessment Model for Environmental Justice Applied to Sanitation. This research aims to give scientific support for the State Government to improve public policies and promote the universalization of water and sanitation services as established by the Sustainable Development Goals (SDGs). This study was based on a quali-quantitative methodology. Secondary data were selected as key information to analyze environmental justice in sanitation, including the following: hydric vulnerability (IV), water supply (WS); untreated sewage collection (SC); sewage collection with treatment (ST); water supply investments (WSI); sewage system investments (SSI); municipal per capita income (MPI); and municipal human development index (MHDI). The data were presented in maps by overlapping the State official regional division and the discussion was carried out based on regional differences and similarities. The repetition of a pattern was noted, in which unfavorable rates were concentrated in the North and Jequitinhonha-Mucuri regions: water vulnerability, sewage system with collection and without treatment, total investment, average investment, per capita income and municipal human development index. Both also have low rates of the sewage system and water supply when compared to others. On the other hand, Zona da Mata and Triângulo regions have favorable rates for hydric vulnerability, sewage system with collection and without treatment and water supply. The Triângulo Mineiro region also presented favorable rates of total investment, average investment, per capita income, and municipal human development index. It is concluded that the inequality between the regions is, initially, of natural origin, and reinforced by the social context and inequality in sanitation investments in the different regions.


1986 ◽  
Vol 14 (12) ◽  
pp. 1457-1461 ◽  
Author(s):  
Samar K. Datta ◽  
Jeffrey B. Nugent

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