scholarly journals Pengaruh Belanja Daerah Terhadap Indeks Pembangunan Manusia Di Provinsi Papua Periode 2011 Hingga 2013 Dalam Perspektif Ekonomi Islam

2017 ◽  
Vol 3 (5) ◽  
pp. 359
Author(s):  
Firly Dwitya Kamilia ◽  
Tika Widiastuti
Keyword(s):  
Human Development ◽  
Human Development Index ◽  
Health Spending ◽  
Financial Statements ◽  
Education Spending ◽  
Development Index ◽  
Education And Health ◽  
Panel Data Regression ◽  
Data Regression ◽  
Regression Techniques

The aim of this study was to determine the effect of education spending and healthspending on the Human Development Index (HDI) in Papua Province period 2011-2013. Themethod used is quantitative method with panel data regression techniques. The data used issecondary data by collecting data annual financial statements Papua Province in theperiod 2011-2013 which includes education and health spending data across district in theprovince of Papua.Panel data regression conducted showed that spending on education (X1) positive andsignificant impact on the human development index in province of Papua and healthspending (X2) has no effect on the human development index in Papua as well as spendingon education and helath spending simultaneously affect the human development index inPapua Province 2011-2013.

scholarly journals ANALISIS DAMPAK KEBIJAKAN ALOKASI DANA OTONOMI KHUSUS BIDANG PENDIDIKAN DAN KESEHATAN TERHADAP INDEKS PEMBANGUNAN MANUSIA DI PROVINSI PAPUA

2020 ◽  
Vol 3 (1) ◽  
pp. 1 ◽  
Author(s):  
Virgie Delawillia Kharisma ◽  
Palupi Lindiasari Samputra ◽  
Payiz Zawahir Muntaha
Keyword(s):  
Human Development ◽  
Human Development Index ◽  
Poverty Level ◽  
Development Index ◽  
Education And Health ◽  
Panel Data Regression ◽  
Data Regression ◽  
Per Capita ◽  
The Government ◽  
The Impact

This study aims to assess the impact of the Special Autonomy Fund in Papua Province on the Human Development Index measured through the allocation of the Special Autonomy Fund in education and health. The government is trying to accelerate the development of Papua, one of which is through the Special Autonomy Fund. This study uses a quantitative approach with panel data regression, covering: 2014-2017 data in 29 districts/cities in Papua Province, each variable, namely: HDI, GRDP per Capita, Allocation of Special Autonomy Funds in Education, Allocation of Special Autonomy Funds in Health and poverty level. The results of the study concluded that the Special Autonomy Fund did not have a significant effect on increasing the Human Development Index in Papua Province in 2014-2017. Strategic efforts in development in Papua are needed not only through the distribution of the Special Autonomy Fund, but also the enhancement of the capacity of the apparatus, evaluation of the method of channelling and utilizing the Special Autonomy Fund, and other policies with a local wisdom approach.

scholarly journals Modeling Human Development Index of Bali with Spatial Panel Data Regression

2019 ◽  
Vol 4 (5) ◽  
pp. 132-137
Author(s):  
Mita Lasdiyanti ◽  
Eka N. Kencana ◽  
Putu Suciptawati
Keyword(s):  
Panel Data ◽  
Human Development ◽  
Human Development Index ◽  
Panel Data Analysis ◽  
Spatial Error ◽  
Development Index ◽  
Spatial Panel ◽  
Panel Data Regression ◽  
Data Regression ◽  
Spatial Panel Data

Human development index (HDI) is an index that represents the successfulness of human development in a region. For Bali, one of 34 provinces in Indonesia, the progress of HDI in the period 2010–2017 showed an increasing trend. In the year 2010, the Bali’s HDI is accounted for 70.10, gradually increase to 74.30 in the year 2017. However, in 2017 there are some regions with their HDIs are below of Bali’s HDI, namely Jembrana, Buleleng, Klungkung, Bangli, and Karangasem. The aim of this work is to model the HDI of 9 regencies of Bali so that the main determinant to increase the HDIs especially for the regencies with lower HDIs could be determined. The model consists of one dependent variable (HDI) with three indicators as the independent ones, there are (a) life expectancy, (b) education, and (b) standard of living. By applying spatial panel data analysis, five models were built i.e. CEM, FEM (individual), FEM (time), REM, and spatial error FEM to determine the effect of each indicator. The result shows the best model is spatial error FEM in which education has the biggest influence compare than the others.

scholarly journals Pengaruh pad, dau, dak terhadap ipm dengan belanja modal sebagai variabel intervening (studi pada kabupaten/kota di provinsi papua tahun 2009 -2013)

2017 ◽  
Vol 22 (2) ◽  
Author(s):  
Ayu Aldi Raviyanti ◽  
Sri Rahayu ◽  
Dewa Putra Krishna Mahardika
Keyword(s):  
Human Development ◽  
Human Development Index ◽  
Capital Expenditure ◽  
Random Effect ◽  
Random Effect Model ◽  
Composite Index ◽  
Development Index ◽  
Effect Model ◽  
Panel Data Regression ◽  
Data Regression

One way to measure the success or performance of a country or region in the field of human development used the Human Development Index (HDI). Human Development Index (HDI) is a composite index to measure the achievement of human development based on a number of basic components of quality of life. The purpose of this study is to determine how much Local Genuine Revenue (PAD), General Allocation Fund (DAU), Special Allocation Fund (DAK), Human Index Development (HDI) and Capital Expenditure in the Regencies/Cities of Papua Provinci for years 2009-2013, as well as determine the influence of PAD, DAU and DAK to HDI with Capital Expenditure as an intervening variable either simultaneously or partially. The method that used in this research is panel data regression using Random Effect Model (REM) with research period of year 2009-2013 using software Eviews 8.0. Total population in this research were 29 regencies/cities. By using purposive sampling, obtained sample of 24 regencies/cities. The results of this study indicate that PAD, DAU, and DAK jointly is influenced on Human Development Index with Capital Expenditure as an intervening variable. Partially, PAD is influenced of positive on HDI through Capital Expenditure, DAU is influenced of positive on HDI through Capital Expenditure, while DAK is not influenced on HDI through Capital Expenditure.

scholarly journals QUALITY OF HUMAN DEVELOPMENT INDEX (HDI) IN MUSLIM COUNTRIES (CASE STUDY OF OIC MEMBERS)

2019 ◽  
Vol 4 (1) ◽  
pp. 1
Author(s):  
MUHAMMAD GHAFUR WIBOWO
Keyword(s):  
Human Development ◽  
Human Development Index ◽  
Variable Number ◽  
Development Index ◽  
Muslim Countries ◽  
Panel Data Regression ◽  
Data Regression ◽  
The Government

This study analyzes factors or variables that effectof human development index (HDI) in Muslimcountries, a case study of the Organization of Islamic Cooperation (OIC) member countries. The data of 33 selected OIC member countries from 2007-2016 were analyzed using panel data regression analysis. The entire models show the significant influence of some independent variables to the level of HDI in Muslim countries. However, a variable number of the population contributes positively to HDI in all models. Unfortunately, foreign direct investment (FDI) does not add to the increasingof HDI; this is the biggest challenge faced by the government in various Muslim countries. While government fiscal policy reflected in government spending (G) contributes positively to HDI in OIC member countries.

scholarly journals The Impact of Unemployment and Human Development Index on Poverty in Gorontalo Province 2008-2017

2020 ◽  
Vol 2 (1) ◽  
Author(s):  
Lian A Yusuf ◽  
Sri Indriyani Dai
Keyword(s):  
Human Development ◽  
Unemployment Rate ◽  
Human Development Index ◽  
Fixed Effect Model ◽  
Poverty Rate ◽  
Development Index ◽  
Effect Model ◽  
Panel Data Regression ◽  
Data Regression ◽  
The Impact

This research aims to analyze the impact of unemployment rate and human development index on poverty in Regecies and City in Gorontalo Province. This research uses Panel Data Regression analysis with fixed effect model (FEM). This research uses regional datasets from the Registration Management Information System (SIMREG) and datasets from Central Statistics Bureau (BPS) during 2008-2017. Main findings of this research indicates that (i) unemployment rate has positive but insignificant impact on poverty rate; (ii) human development index has positive and significant impact on poverty rate. Keywords: Unemployment Rate; Human Development Index (HDI); Poverty.

scholarly journals ANALISIS PENGARUH PERTUMBUHAN EKONOMI, UPAH MINIMUM DAN INDEKS PEMBANGUNAN MANUSIA TERHADAP TINGKAT PENGANGGURAN DI PROVINSI JAWA TIMUR TAHUN 2008-2014

2014 ◽  
Vol 12 (1) ◽  
pp. 48
Author(s):  
Muhammad Nurcholis
Keyword(s):  
Economic Growth ◽  
Panel Data ◽  
Human Development ◽  
Minimum Wage ◽  
Unemployment Rate ◽  
Human Development Index ◽  
Analysis Model ◽  
Development Index ◽  
Panel Data Regression ◽  
Data Regression

In this study, the expected goal is to determine the distribution, classification and influence economic growth, minimum wage, and the Human Development Index of the level of unemployment in East Java Province 2008-2012. This research uses descriptive quantitative research methods. Data analysis in accordance with the formulation of the problem and the purpose of the study is using panel data regression analysis model and using the classification of the intensity and GIS. Based on panel data regression results show that perumbuhan economy, the minimum wage and the human development index have a significant effect on the unemployment rate. Variable economic growth and the negative effect of minimum wages, while the human development index positive effect. As for testing the F calculation, economic growth, the minimum wage and the human development index have a significant effect on the unemployment rate.

scholarly journals Pengaruh Pendapatan Asli Daerah, Dana Alokasi Umum, Rasio Efektivitas dan Rasio Kemandirian Terhadap Indeks Pembangunan Manusia

2020 ◽  
Vol 4 (2) ◽  
pp. 46-59
Author(s):  
Siti Munfarida ◽  
Eko Priyojadmiko
Keyword(s):  
Local Government ◽  
Human Development ◽  
Human Development Index ◽  
Quantitative Research ◽  
Sampling Technique ◽  
Government Revenue ◽  
Development Index ◽  
Central Java ◽  
Panel Data Regression ◽  
Data Regression

The aim of this research to analyze the effect of original local government revenue, Dana Alokasi Umum (DAU), effectivity ratio and independence ratio on the Human Development Index (HDI).Quantitative research methode was used in this reasearch. The population are 35 Kabupaten/Kota at Central Java Province in 2015-2017. With purposive sampling technique was taken as many as 24 of the samples that can be analyzed. The data analysis methode using panel data regression analysis. And the data processed using Eviews 10.The result showed that, first original local government revenue have positive signifficant influence on human development index. Second, dana alokasi umum have p positive signifficant influence on human development index. Independence ratio doesn’t have signifficant effected on human development index. Effectivity ratio doesn’t have signifficant effected on HDI.

scholarly journals Pengaruh Belanja Modal, Infrastruktur dan Indeks Pembangunan Manusia terhadap Produk Domestik Regional Bruto di Provinsi Sumatera Selatan

2019 ◽  
Vol 15 (2) ◽  
pp. 92-100
Author(s):  
Tino Handayani ◽  
Didik Susetyo ◽  
M. Syirod Saleh
Keyword(s):  
Regression Analysis ◽  
Human Development ◽  
Human Development Index ◽  
Capital Expenditures ◽  
Development Index ◽  
Panel Data Regression ◽  
Data Regression ◽  
Directorate General ◽  
Late Model ◽  
Selection Of

The purpose of this research is to analyze the influence of capital expenditures, infrastructure of the long road, and the human development index (HDI) to GDP District/city in South Sumatera Province. The data used in this research is data from the year 2010-2015 results from publications of the Central Bureau of Statictic (BPS) and the Directorate General of Financial Equalization (DJPK). Location of research covering 15 District/City in South Sumatera Province. This research was conducted by means of panel data regression analysis using program of Eviews 8. The selection of late-model in this data regression analysis using program of Eviews 8. The selection of late-model in this study i.e the Fixed Effectmodel. The results showed that variable capital expenditures, infrastruture of the long road, and the human development index (HDI) are jointly significantly to GDP. The variable infrastucture of the long road and the shuman development index (HDI) a negative and siignificant effect against the GDP. The value of the coefficient  of the determinaation (R-square) obtained the value of the variable 0.986993 which means capital expenditures, infrastucture of the long road, and the human development index is able to affect the GDP of 98.69 percent 1.31 percent and the rest is determined by other variables that are not listed in the model

scholarly journals Pengaruh Produk Domestik Regional Bruto dan belanja pemerintah fungsi pendidikan terhadap Indeks Pembangunan Manusia di Provinsi Kepulauan Bangka Belitung

SOROT ◽  
2020 ◽  
Vol 15 (1) ◽  
pp. 43
Author(s):  
Erlangga Hadinata ◽  
Devi Valeriani ◽  
Suhartono Suhartono
Keyword(s):  
Panel Data ◽  
Human Development ◽  
Government Spending ◽  
Human Development Index ◽  
Fixed Effect ◽  
Domestic Product ◽  
Development Index ◽  
Analysis Techniques ◽  
Panel Data Regression ◽  
Data Regression

Tujuan penelitian ini untuk melihat pengaruh Produk Domestik Regional Bruto (PDRB) dan belanja pemerintah fungsi pendidikan terhadap Indeks Pembangunan Manusia (IPM) Provinsi Kepulauan Bangka Belitung periode 2014-2018. Penelitian ini menggunakan pendekatan kuantitatif. Data yang digunakan adalah data panel kabupaten/kota di Provinsi Kepulauan Bangka Belitung yang terdiri dari Bangka, Belitung, Bangka Barat, Bangka Tengah, Bangka Selatan, Belitung Timur, dan Pangkal Pinang tahun 2014-2018. Teknik analisis data dalam penelitian ini menggunakan analisis regresi data panel dengan model fixed effect. Hasil penelitian menunjukkan bahwa Produk Domestik Regional Bruto dan belanja pemerintah fungsi pendidikan berpengaruh positif dan signifikan terhadap Indeks Pembangunan Manusia di Provinsi Kepulauan Bangka Belitung.The purpose of this study was to examine the effect of Gross Regional Domestic Product (GRDP) and government spending in the education function on the Human Development Index (HDI) of the Province of Bangka Belitung Islands in the 2014-2018 period. This study uses a quantitative approach. The data used are district / city panel data in the Bangka Belitung Islands Province consisting of Bangka, Belitung, West Bangka, Central Bangka, South Bangka, East Belitung, and Pangkal Pinang in 2014-2018. Data analysis techniques in this study used panel data regression analysis with Fixed Effect models. Research Results Show that the Gross Regional Domestic Product and government spending in the education function have a positive and significant effect on the Human Development Index in the Bangka Belitung Islands 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.

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