scholarly journals Analisis Tingkat Kemiskinan di Propinsi NTT: Pendekatan Dua Panel

2020 ◽  
Vol 11 (2) ◽  
pp. 138-150
Author(s):  
Rosdianawaty Hatta ◽  
Rifki Khoirudin
Keyword(s):  
Economic Growth ◽  
Time Series ◽  
Panel Data ◽  
Human Development ◽  
Cross Sections ◽  
Human Development Index ◽  
Secondary Data ◽  
Poverty Rate ◽  
Development Index ◽  
Independent Variables

This study aims to analyze the effect of the human development index, unemployment, economic growth and duration of education on poverty rate of population in the Province of NTT. Secondary data used in the form of time series for the period 2011-2017 and cross sections for 22 city/regency of NTT. Eviews 9 is used to analyze the panel data. The results showed the human development index had a negative and significant effect on poverty rate; unemployment rate has a positive but unsignificant effect on poverty rate; economic growth has a negative but unsignificant effect on poverty rate; and, duration of education has a positive and significant effect on poverty rate. Simultaneously, the four independent variables have a significant effect on poverty. The determination analysis stated that the independent variables used have a relatively large ability to explain changes that occur in the poverty rate of the population in NTT Province.

scholarly journals HUMAN DEVELOPMENT INDEX, UNEMPLOYMENT AND POVERTY IN PAPUA PROVINCE, 2010-2015

2018 ◽  
Vol 16 (1) ◽  
pp. 24
Author(s):  
Nurisqi Amalia ◽  
Anisa Nurpita ◽  
Rina Oktavia
Keyword(s):  
Human Development ◽  
Unemployment Rate ◽  
Human Development Index ◽  
Secondary Data ◽  
Poverty Rate ◽  
Research Data ◽  
Analysis Tool ◽  
Poverty Level ◽  
Development Index ◽  
Independent Variables

Papua Province is one of the poorest provinces in Indonesia. Some of the variables that affect health levels including Human Development Index (HDI) and unemployment rate. This research analyzes Human Development Index and unemployment rate to poverty level in districts/cities in Papua Province during 2010-2015. Research data used in this research is secondary data from Central Bureau of Statistics of district/city in Papua Province. The independent variables used are open unemployment rate and Development Index. While the dependent variable used is poverty level in districts/citis in Papua Province year 2010-2015. The analysis tool used is regression with panel data. The result of this research shows that the average of district/city’s poverty rate in Papua 2010-2015 is 32,34 percent. The highest level is in District Deiyai and the lowest is in District Merauke. The Human Development Index has decreased significantly to the poverty rate of district/city in Papua Province, while the open unemployment rate is positive to the poverty rate of district/city in Papua Province. Human Development Index and open unemployment rate as a whole and together affect poverty level in district/city in Papua Province.

scholarly journals Pengaruh Upah Minimum, Kemiskinan dan Pengangguran pada IPM di Kabupaten/Kota Provinsi Jawa Timur

2021 ◽  
Vol 12 (2) ◽  
pp. 214-227
Author(s):  
Moh. Faizin
Keyword(s):  
Economic Growth ◽  
Panel Data ◽  
Human Development ◽  
Minimum Wage ◽  
Human Development Index ◽  
Development Index ◽  
Independent Variables ◽  
Panel Data Regression ◽  
Data Regression ◽  
Country Today

The paradigm of development of a country today is not only measured by the rate of economic growth, but also by paying attention to human development. The purpose of this study was to analyze the effect of minimum wages, poverty and unemployment on the Human Development Index (HDI) in districts/cities in East Java Province. The method used is panel data regression in 38 districts/cities in East Java in 2010/2018. The results showed partially, the minimum wage has a positive and significant effect, poverty has a negative but not significant effect, and unemployment has a negative and significant effect, toward HDI. Simultaneously, the results found that the three independent variables (i.e.: minimum wage, poverty and unemployment) had a significant effect on HDI.

scholarly journals PENGARUH DANA OTONOMI KHUSUS TERHADAP INDEKS PEMBANGUNAN MANUSIA KABUPATEN/KOTA DI PROVINSI ACEH

2020 ◽  
Vol 3 (4) ◽  
Author(s):  
Muhammad Hijrah Saputra
Keyword(s):  
Time Series ◽  
Panel Data ◽  
Human Development ◽  
Human Development Index ◽  
Panel Data Analysis ◽  
Random Effect ◽  
Random Effect Model ◽  
Secondary Data ◽  
Development Index ◽  
Effect Model

This study aimed to determine the effect of the Special Autonomy Fund AgainstHuman Development Index in Aceh, to achieve these objectives, this study uses the Human Development Index (HDI) as the dependent variable and the SpecialAutonomy Fund (Autonomy) as independent variables. The data analyzed in thisstudy are secondary data from the reports on the realization of the Government's budget 23 districts / municipalities in the province of Aceh which was obtained through a survey BAPPEDA Aceh and the Central Statistics Agency (BPS) of Aceh. The data used are panel data which is a combination of Time Series and Cross Section. Data time series used is the 23 districts / cities in the period 2009 - 2012. The method used in this study is one of three in a panel data analysis techniques that pool (common) effect model, fixed effect model and random effect model. Based on data processing studies concluded that the SAF has a positive and significant effect on the Human Development Index, which the SAF increase in tandem with the increase in the Human Development Index. So it can be concluded that the increase in SAF positive effect on the Human Development Index in 23 districts / municipalities in the Aceh Province.

scholarly journals An Analysis of Local Taxes Revenue’s Effect on Human Development Index

2018 ◽  
Vol 14 (2) ◽  
pp. 197-211
Author(s):  
Arfah Habib Saragih
Keyword(s):  
Economic Growth ◽  
Human Development ◽  
Human Development Index ◽  
Quantitative Research ◽  
Tax Reform ◽  
Random Effect ◽  
Secondary Data ◽  
Tax Revenue ◽  
Development Index ◽  
Local Taxes

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

scholarly journals THE EFFECT OF FISCAL BALANCE TRANSFER, FINANCIAL PERFORMANCE ON CAPITAL EXPENDITURE IMPACTING ON THE HUMAN DEVELOPMENT INDEX OF PAPUA PROVINCE

2020 ◽  
Vol 4 (3) ◽  
Author(s):  
Bonifasia Elita Bharanti
Keyword(s):  
Financial Performance ◽  
Human Development ◽  
Human Development Index ◽  
Capital Expenditure ◽  
Secondary Data ◽  
Revenue Sharing ◽  
Poverty Rate ◽  
Development Index ◽  
Fiscal Balance ◽  
Government Transfers

The structure of Regional Development Budget (hereafter APBD) of Papua Province, which is mostly sourced from  Government transfers tends to increase every year. This requires prioritising the use of capital expenditure that can improve the welfare of the community. However, it is an irony that the poverty rate in Papua Province ranks first in Indonesia as indicated by the Human Development Index (HDI), below the national average HDI. The objective  to analyse the structure of the APBD (General Allocation Fund - hereafter DAU, Special Allocation Fund - hereafter DAK and Revenue Sharing Fund - hereafter DBH) and financial performance of Papua's Human Development Index in 2013-2018 with capital expenditure as an intervening variable. Quantitative approach is used with secondary data type, which is processed using the IBM SPSS Amos application.  This study indicate that the increasing APBD structure will be able to increase the HDI but capital expenditure does not mediate the APBD structure to the HDI. Furthermore, financial performance has no impact on increasing the HDI as the capital expenditure does not mediate financial performance on the human development index.

ANALISIS PENGARUH PENGELUARAN PEMERINTAH SEKTOR PENDIDIKAN DAN KESEHATAN, INFLASI DAN KEMISKINAN TERHADAP INDEKS PEMBANGUNAN MANUSIA DENGAN PERTUMBUHAN EKONOMI SEBAGAI VARIABEL MODERATING DI INDONESIA

2020 ◽  
pp. 174-186
Author(s):  
A. Mahendra
Keyword(s):  
Economic Growth ◽  
Human Development ◽  
Human Development Index ◽  
Government Expenditure ◽  
Health Sector ◽  
Secondary Data ◽  
Sampling Technique ◽  
Development Index ◽  
Moderating Variables ◽  
Year 2000

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.

scholarly journals Faktor-Faktor yang Mempengaruhi Tingkat Pengangguran di Kabupaten Jember

2017 ◽  
Vol 4 (1) ◽  
pp. 117
Author(s):  
Riza Firdhania ◽  
Fivien Muslihatinningsih
Keyword(s):  
Economic Growth ◽  
Data Analysis ◽  
Human Development ◽  
Minimum Wage ◽  
Unemployment Rate ◽  
Human Development Index ◽  
Descriptive Analysis ◽  
Linear Regression Analysis ◽  
Secondary Data ◽  
Development Index

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.

scholarly journals Analisis Faktor-faktor yang Mempengaruhi Tingkat Pertumbuhan Ekonomi di Indonesia

2020 ◽  
Vol 2 (3) ◽  
pp. 169-176
Author(s):  
Puji Yuniarti ◽  
Wiwin Wianti ◽  
Nandang Estri Nurgaheni
Keyword(s):  
Economic Growth ◽  
Income Inequality ◽  
Human Development ◽  
Unemployment Rate ◽  
Human Development Index ◽  
Secondary Data ◽  
Participation Rate ◽  
Poverty Level ◽  
Development Index ◽  
Growth Methods

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

scholarly journals Analisis Situasi Pembangunan Manusia di Jawa Tengah

2020 ◽  
Vol 3 (1) ◽  
pp. 12
Author(s):  
Laeli Sugiyono
Keyword(s):  
Economic Growth ◽  
Data Analysis ◽  
Human Development ◽  
Human Development Index ◽  
Secondary Data ◽  
Cross Sectional ◽  
Development Index ◽  
Central Java ◽  
Cartesian Diagram

<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>

scholarly journals Faktor penentu indeks pembangunan manusia dan hubungannya dengan belanja infrastruktur serta pertumbuhan ekonomi Kabupaten/Kota Provinsi Jambi

2021 ◽  
Vol 16 (2) ◽  
pp. 343-358
Author(s):  
Herinoto Herinoto ◽  
M. Rachmad R ◽  
Zulfanetti Zulfanetti
Keyword(s):  
Economic Growth ◽  
Time Series ◽  
Regression Analysis ◽  
Panel Data ◽  
Correlation Analysis ◽  
Cross Section ◽  
Human Development Index ◽  
Secondary Data ◽  
Simple Correlation ◽  
The Relationship

This study aims to analyze the factors that determine the Human Development Index (HDI), to analyze the relationship between HDI and infrastructure spending, and to analyze the relationship between infrastructure spending and economic growth in districts/cities in Jambi Province. The data used in this study are secondary data with the type of Time Series 2012-2018 and Cross Section 11 districts/cities. This study uses Panel Data Multiple Regression Analysis and Simple Correlation Analysis using the E-views 10 tool. The results of this study indicate that the HDI of districts/cities in Jambi Province increases every year, partially the ratio of teachers to students, number of health facilities, and density. The population has a positive and significant effect in determining HDI. While the poverty factor has a negative but not statistically significant effect in determining the HDI of districts/cities in Jambi Province with an R-Square value of 0.9312. The relationship between HDI and infrastructure spending has a negative and insignificant effect, which means that an increase in infrastructure spending will increase the decrease in the value of HDI. The relationship between growth spending and economic growth has a positive and significant effect, which means that an increase in the value of infrastructure spending will increase the value of economic growth.  

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