scholarly journals Analysis of Factors That Affecting to Human Development Index in North Sumatra

2021 ◽  
Vol 8 (4) ◽  
pp. 453-467
Author(s):  
Nadya Wiandita Pardede ◽  
Irsad . ◽  
Rujiman .

This research is to determine human development index in North Sumatra. The research used quantitative method and the data consisted of secondary data obtained directly from Statistics of North Sumatra. The research objects were 33 districts/towns in North Sumatra. This study uses secondary data obtained directly from Statistics of North Sumatra. The research used panel data, the combination of time series and cross section data within 6 years, from 2014 until 2019. Variables used are Economic Growth, Poverty and Direct Expenditure per Capita. Analysis method in this research using Fixed Effect Model (FEM) using Eviews 10 as an estimation tool. The results showed that Economic Growth has a significant negative effect on Human Development Index, Poverty has a significant negative on Human Development Index and Direct Expenditure per Capita has a significant positif on Human Development Index. Then the relationship between Economic Growth, Poverty and Direct Expenditure per Capita with Human Development Index 97,70% and 2,30% other explained by other factors not mentioned in this model. Keywords: Human Development Index, Economic Growth, Poverty, Direct Expenditure per Capita.

2020 ◽  
Vol 11 (1) ◽  
pp. 10-21
Author(s):  
Yulius Laga ◽  
Anthonia Karolina Rejo Lobwaer

This paper is a form of concept development, with the variable allocation of village funds (X1), the number of poor people (X2), Human Development Index (X3) and Economic Growth (Y) in East Nusa Tenggara Province in 21 districts. This study uses secondary data obtained from the Central Statistics Agency (BPS) of NTT Province from 2015 to 2019. Descriptive Statistics and Panel Data Regression Analysis using E-Views 10 using the Fixed Effect Model (FEM). The results of hypothesis testing (t-test) shows the allocation of village funds, has a positive and significant effect on Economic Growth (p-value: 0,000 <0.05) and (t-count = 7.81> t-table = 1.66) . While the number of poor people and the Economic Human Development Index (HDI) have no influence on Economic Growth because the probability value is more than 5 percent (0.05). The magnitude of the effect of Adjust R-Square (R2) of 0.35 or 35 percent of economic growth variables can be explained by the variable Village Fund Allocation, Number of Poor Population, and Human Development Index. This reflects the economy grows to be done, and not only from the Village Fund Allocation but has investment space in the priority sectors of each district that is able to reduce poverty and boost the Human Development Index.


Jurnal Ecogen ◽  
2019 ◽  
Vol 1 (3) ◽  
pp. 681
Author(s):  
Muhammad Fajar ◽  
Zul Azhar

This research aims to know and analyze determine of corruption and the human development index to economic growth in Southeast Asian countries. This research use panel least square and Fixed Effect Model. The estimation result should that corruption has a possitive and significant effect on economic growth in Southeast Asian countries and the human development Index has a possitive and significant effect on economic growth in Southeast Asian countries. From the result of this research, to increase economic growth, the government in SoutheastAsian countries must strengthen the bureaucratic and legal institutions of a country,increase the role of the government or related agencies in monitoring and crackingdown on corruption that results in lossof government productivity and allocating resources appropriately so that the creation of peace and prosperity among the countries in Southeast Asian. Keywords: Economic Growth, Corruption, Human Development Index


2018 ◽  
Vol 14 (2) ◽  
pp. 197-211
Author(s):  
Arfah Habib Saragih

Abstract: An Analysis of Local Taxes Revenue’s Effect on Human Development Index. Regional tax reform in Indonesia has been ongoing for approximately twenty years. The aim of the tax reform is to increase regional revenues from tax which will be used society’s welfare through regional development, which can be measured by Human Development Index (HDI). This study aims to analyse the effect of local tax revenue on HDI in Indonesia. Quantitative research method is used with unit of analysis of thirty-four provinces in Indonesia in 2013-2016, with a total of 134 observations. Secondary data is processed through panel data regression using random effect method. This study finds that local tax revenue has a significant positive effect on HDI. This study also finds that economic growth and unemployment rates have no significant effect on HDI, while gini ratio has a significant negative effect on HDI. Keywords: local taxes, human development index, tax reform, economic growth, gini ratioAbstrak: Analisis Pengaruh Penerimaan Pajak Daerah Terhadap Indeks Pembangunan Manusia. Reformasi perpajakan daerah di Indonesia sudah berlangsung selama kurang lebih dua puluh tahun. Tujuan dari reformasi perpajakan tersebut adalah untuk meningkatkan penerimaan daerah dari sektor perpajakan yang akan digunakan untuk kemakmuran rakyat melalui pembangunan daerah yang dapat diukur salah satunya dengan Indeks Pembangunan Manusia (IPM). Penelitian ini bertujuan untuk menguji pengaruh penerimaan pajak daerah terhadap IPM di Indonesia. Metode riset yang digunakan adalah metode kuantitatif dengan unit analisis tiga puluh empat provinsi di Indonesia pada periode 2013-2016 dengan total 134 observasi. Data sekunder diolah melalui regresi data panel dengan metode random effect. Penelitian ini menemukan bahwa penerimaan pajak daerah berpengaruh positif signifikan terhadap IPM. Temuan lain yang diperoleh dari penelitian ini adalah pertumbuhan ekonomi dan tingkat pengangguran tidak berpengaruh signifikan terhadap IPM, sedangkan rasio gini berpengaruh negatif signifikan terhadap IPM. Kata kunci: Kata Kunci: pajak daerah, indeks pembangunan manusia, reformasi perpajakan, pertumbuhan ekonomi, rasio gini


2020 ◽  
Vol 7 (1) ◽  
pp. 585-594
Author(s):  
Muammar Rinaldi ◽  
Zainal Arifin ◽  
Indra Maipita ◽  
Saidun Hutasuhut

This study aims to analyze the effect of capital expenditure and economic growth simultaneously on the Human Development Index (HDI) in districts/cities in North Sumatra. This type of research is a descriptive-quantitative approach that suppresses its analysis of numerical data that is processed by the statistical method. Sources of data in this study were taken from the Central Bureau of Statistics of North Sumatra for the HDI data. The sample in this study is all districts/cities in North Sumatra for the period 2013-2017. The data analysis technique used in this study uses panel data regression with Eviews 7 because, in this study, there are characteristics of cross-section and time-series data simultaneously. The results of this study indicate that capital expenditure partially has a positive and significant effect on the Human Development Index in districts/cities in North Sumatra. Economic growth partially has a positive and significant effect on the HDI in districts/cities in North Sumatra, and capital expenditure and economic growth have a positive and significant effect simultaneously on the Human Development Index in districts/cities in North Sumatra.


2020 ◽  
pp. 174-186
Author(s):  
A. Mahendra

This research is intended to know the influence of government expenditure on education and health sector, inflation, and poverty on human development index with economic growth as a moderating variables in Indonesia. Population in this research is Indonesia and 20 of them were selected to be the samples for this research through purposive sampling technique. Estimates conducted by the multiple regression analysis. The data that were used in this study were secondary data, consisted of Government Expenditure, Inflation, and Poverty to human development index for the year 2000-2019. The results of this research, that Based on the partial test (t test), the Poverty variable has no significant effect while the Inflation and Government Expenditure variables have a significant effect on the variables of the human development index in Indonesia, the simultan test (F test), government expenditure, inflation, and poverty have a significant effect on the variables of the human development index. The economic growth variables are unable to moderate the relationship between government expenditure, inflation and poverty on the human development index.


2017 ◽  
Vol 15 (2) ◽  
pp. 113
Author(s):  
Yunita Firdha Kyswantoro

Disadvantaged areas are districts whose areas and communities are less developed when compared to other regions on a national scale. Java Island as the contribution of the highest economic growth in Indonesia in fact accounted for 6 of 122 disadvantaged areas in Indonesia, namely Kab. Bondowoso, Kab. Situbondo, Kab. Bangkalan, Kab.Sampang, Kab. Pandeglang, Kab. Lebak. One of the criteria of disadvantaged areas is human resources, this can be measured through HDI (Human Development Index). The number of poor people, labor force and GRDP per capita are some factors that are considered to illustrate the influence of HDI in 6 disadvantaged areas. This research used Random Effect Model (REM) panel data regression in 6 disadvantaged areas in Java Island 2010 - 2016. The result of this research, labor force variable has no significant effect to Human Development Index (HDI). While the number of poor and PDRB perkapita have a significant effect on HDI in 6 disadvantaged areas in Java. It is therefore an effective way to accelerate the growth of economic growth in underdeveloped areas related to HDI through the decline of the number of poor people with the creation of labor-intensive jobs which in turn will increase the per capita GDP. Thus, increasing GRDP per capita will increase Human Development Index (HDI) where HDI is one indicator in economic growth of a region.


2017 ◽  
Vol 4 (1) ◽  
pp. 117
Author(s):  
Riza Firdhania ◽  
Fivien Muslihatinningsih

This research describes the relation between variables of population, inflation, minimum wage, economic growth, and humandevelopment index toward the unemployment rate in Jember. The type of data used in this research was secondary data in theform of ‘time series’ obtained from Jember Department of Labor and Central Bureau of Statistics in the year of 2002-2013.The research method was a kind of statistical descriptive analysis and multiple linear regression analysis. Moreover, theresearcher used partial test (T-test), simultaneous test (F-test), and coefficients determination test (R2) for the hypothesis.Whereas the assumption test was conducted in the use of normality, multicollinearity, heteroscedasticity, and autocorrelationtest. From the result of the data analysis, it confirmed that the population positively and significantly affected theunemployment rate in Jember. The variables of inflation, minimum wage, and human development index negatively andsignificantly affected the unemployment rate in Jember. Whereas the variables of economic growth positively and significantlyaffected unemployment rate in Jember. Finally, the result of the data analysis highlighted the variables of population,inflation, minimum wage,economic growth, and human development index that simultaneously and significantly affectedunemployment rate in Jember.


2020 ◽  
Vol 2 (3) ◽  
pp. 169-176
Author(s):  
Puji Yuniarti ◽  
Wiwin Wianti ◽  
Nandang Estri Nurgaheni

Purpose- This study aims to determine the factors of economic growth in 34 provinces in Indonesia. The variables used include labor force participation rate, human development index, Poverty Level, unemployment rate, income inequality, and economic growth. Methods- Secondary data from the Central Bureau of Statistics were processed using multiple linear regression. Findings- The study show that only force participation rate and unemployment rate were proven to significantly affect economic growth, while human development index, poverty level, and income inequality were not statistically significant. Implications- This study can provide important information on the factors shaping economic growth as a basis for future decision making. Abstrak Tujuan- Penelitian ini bertujuan untuk mengetahui faktor-faktor pertumbuhan ekonomi di 34 provinsi di Indonesia. Variabel yang digunakan antara lain tingkat partisipasi angkatan kerja, indeks pembangunan manusia, tingkat kemiskinan, tingkat pengangguran, ketimpangan pendapatan, dan pertumbuhan ekonomi. Metode- Data sekunder dari Badan Pusat Statistik diolah dengan menggunakan regresi linier berganda. Temuan- Studi tersebut menunjukkan bahwa hanya tingkat partisipasi angkatan dan tingkat pengangguran yang terbukti secara signifikan mempengaruhi pertumbuhan ekonomi, sedangkan indeks pembangunan manusia, tingkat kemiskinan, dan ketimpangan pendapatan tidak signifikan secara statistik. Implikasi- Studi ini dapat memberikan informasi penting tentang faktor-faktor yang membentuk pertumbuhan ekonomi sebagai dasar pengambilan keputusan di masa depan


2021 ◽  
Vol 6 (2) ◽  
pp. 171
Author(s):  
Nur Ahmar Fajriah

Poverty is an economic problem experienced by almost all regions in Indonesia, including East Java Province, where poverty in East Java is relatively high in 2016 East Java Absolute poverty of 4.78 million people. Therefore, it is necessary to find a solution to overcome the problem or reduce poverty. This study aims to analyze the effect of Gross Regional Domestic Product (GRDP), population, Regional Minimum Wage (UMR), open unemployment rate and Human Development Index (IPM) on poverty in East Java Province in 2010-2020. This research uses panel data method with fixed effect model approach, and the data used is secondary data. Adjusted R2 value is quite high. then the results of this study are the variables of GRDP, population, open unemployment rate and HDI have a significant effect on poverty, while the UMR variable has no significant effect on poverty. Therefore, the development of GRDP, population, open unemployment rate should be considered to overcome the problem of poverty.Keywords: Gross Regional Domestic Product, population, Regional Minimum Wage, open unemployment rate, Human Development Index.JEL: P24, J11, J31, J64, O15


2020 ◽  
Vol 3 (1) ◽  
pp. 12
Author(s):  
Laeli Sugiyono

<p>This study aims to analyze the disclosure distribution of the position regency/city in Central Java based on the linkage of Economic Growth (EG) and Human Development Index (HDI). The study uses secondary data in the form of cross-sectional regional regency/city based on EG and HDI components. Data analysis uses regency/city distribution plot diagram based on EG and HDI components in the Cartesian diagram which divides the space into 4 Quadrants, namely: Quadrant I of the regency/city distribution plots with high EG and HDI, Quadrant II of the regency/city distribution plots with low EG and high HDI, Quadrant III of the regency/city distribution plots with high EG and low HDI, and Quadrant IV of the regency/city distribution plots with low EG and HDI. This study concludes that the position of cities in Central Java in general is in line with the Quadrant I group, the HDI of regency/city in the area of the ex-Semarang and ex-Surakarta residency is in Quadrant I. Other regencies/cities are spread in Quadrant II, III, and IV.</p><p><strong>Keywords</strong><strong> : </strong>human development index, economic growth, Central Java, distribution plot</p><p> </p>


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