scholarly journals Pengaruh Indeks Pembangunan Manusia dan Angkatan Kerja terhadap Produk Domestik Regional Bruto

2018 ◽  
Vol 5 (4) ◽  
pp. 368-376
Author(s):  
Andini Mulyasari
Keyword(s):  
Human Development ◽  
Significant Influence ◽  
Human Development Index ◽  
Fixed Effect Model ◽  
Fixed Effect ◽  
Least Square ◽  
Development Index ◽  
Central Java ◽  
Effect Model ◽  
Panel Data Regression

Tujuan penelitian ini adalah untuk menganalisis besaran pengaruh indeks pembangunan manusia dan angkatan kerja yang bekerja terhadap PDRB Kabupaten/Kota di Jawa Tengah Tahun 2010-2014. Penelitian ini menggunakan analisis regresi data panel melalui pendekatan Fixed Effect Model (FEM) dengan metode Generalized Least Square (GLS). Hasil penelitian menunjukan bahwa secara bersama-sama variabel indeks pembangunan manusia dan angkatan kerja yang bekerja berpengaruh positif dan signifikan terhadap PDRB Kabupaten/Kota di Jawa Tengah. Sedangkan hasil secara parsial menunjukan bahwa indeks pembangunan manusia berpengaruh positif dan signifikan terhadap PDRB Kabupaten/Kota di Jawa Tengah dan angkatan kerja yang bekerja juga berpengaruh positif dan signifikan terhadap PDRB Kabupaten/Kota di Jawa Tengah. The purpose of this study was to analyze the influence of human development index and labor toward GRDP regency/city in Central Java 2010-2014. This study used panel data regression analysis through Fixed Effect Model (FEM) approach with the Generalized Least Square (GLS) method. The results of this study showed that the variable of human development index and labor has positive and significant influence to the GRDP  regency/city in Central Java. While the partial results showed that the index of human development have positive and significant influence to the GRDP regency/city in Central Java and the labor have positive and significant influence to the GRDP regency/city in Central Java.

scholarly journals Pengaruh PDRB, indeks pembagunan manusia dan zakat terhadap kemiskinan di Provinsi Jawa Tengah

2021 ◽  
Vol 1 (1) ◽  
pp. 40-54
Author(s):  
Muhammad Miftahussalam ◽  
Mohammad Rofiuddin
Keyword(s):  
Human Development ◽  
Human Development Index ◽  
Fixed Effect Model ◽  
Development Index ◽  
Central Java ◽  
Effect Model ◽  
Panel Data Regression ◽  
Data Regression ◽  
Central Java Province

This study aimed to determine the effect of GRDP, human development index, and zakat on poverty in Central Java Province. The object of this research is all regencies/cities in Central Java Province in 2015-2019. The method used to see effects using the panel data regression approach is the fixed effect model. The results in the study show that simultaneously zakat, GRDP, human development index affect poverty in Central Java Province. GRDP is not significant to poverty in Central Java Province. While the human development index and zakat decrease poverty in Central Java Province. The research model clarifies the role of zakat and human development in poverty alleviation in Central Java Province, so it is essential to maintain and increase its value over time to reduce poverty.

scholarly journals Determinan Kemiskinan di Provinsi Jawa Tengah Tahun 2011-2014

2018 ◽  
Vol 7 (3) ◽  
pp. 235-242
Author(s):  
Emi Megawati ◽  
Lesta Karolina Br Sebayang
Keyword(s):  
Significant Influence ◽  
Secondary Data ◽  
Fixed Effect Model ◽  
Fixed Effect ◽  
Least Square ◽  
Simultaneous Test ◽  
Central Java ◽  
Effect Model ◽  
Independent Variable ◽  
Central Java Province

Berdasarkan data dari BPS, kemiskinan di Provinsi Jawa Tengah pada tahun 2011-2014 masih berada di peringkat kedua setelah DI Yogyakarta di Pulau Jawa-Bali. Penelitian ini menggunakan data panel dengan pendekatan Fixed Effect Model (FEM) dengan metode Generalized Least Square (GLS). Sumber data yang diperoleh dari Badan Pusat Statistik (BPS) dan Direktorat Jendral Perimbangan Keuangan Indonesia. Hasil penelitian menunjukan bahwa variabel IPM berpengaruh negatif dan signifikan terhadap kemiskinan di Provinsi Jawa Tengah. Sedangkan variabel PDRB dan pembiayaan pendidikan berpengaruh tidak signifikan terhadap kemiskinan di Provinsi Jawa Tengah. Hasil uji secara bersama-sama menunjukan bahwa secara keseluruhan variabel bebas secara bersama-sama dapat menunjukan pengaruhnya terhadap kemiskinan. nilai dari Adjusted R2 sebesar 0,995 yang berarti 99,5 persen kemiskinan dapat dijelaskan oleh variabel bebas. Sedangkan sisanya 0,50 persen dijelaskan oleh variabel di luar model. Based on data from BPS, during years 2011-2014 Central Java Province are in number 2 after DI Yogyakarta in Java-Bali. This research use panel data with Fixed Effect Model (FEM) approach and by using Geberalized Square (GLS) method. The data source is secondary data are obtained from the Central Statistics Agency and the Directorate General of Financial Balance Indonesia. The result of this research show that HDI variable give the negative and significant influence to the poverty in Central Java province. GDRP and financing of education not significant influence to the poverty in Central Java province. Simultaneous test results showed that, overall, the independent variable (HDI, GDRP and financing of education) together can show its effect on poverty. the value of Adjusted R2 of 0,995, which means 99,5 percent of poverty can be explained by the independent variable. While the remaining 0,50 percent is explained by variables outside the model.

scholarly journals PENGARUH PERDAGANGAN INTERNASIONAL, DAN KETERBUKAAN EKONOMI TERHADAP INDEKS PEMBANGUNAN MANUSIA DI NEGARA- NEGARA ASEAN

2021 ◽  
Vol 10 (2) ◽  
pp. 154
Author(s):  
Muhammad Adnan Azzaki
Keyword(s):  
International Trade ◽  
Human Development ◽  
Human Development Index ◽  
Health Knowledge ◽  
Fixed Effect Model ◽  
Fixed Effect ◽  
Economic Openness ◽  
Development Index ◽  
Independent Variables ◽  
Effect Model

ABSTRACTEconomic openness through International Trade has a complex relationship with human development. Mainstream economies generally assume that human development automatically follows on from economic growth. This study uses human development index (HDI) as one of the indicators of development progress in aspects of human quality in the State. There are several reasons the human development index is used as an indicator of a country's development among the fundamental components of longevity, health, knowledge, and living standards. This research uses human development index (HDI) variables as dependent variables while International trade is proxies with Export, Import and economic openness values as independent variables. These variables are data located in ASEAN countries during 2013-2019. This research aims to provide information on the influence of international trade and economic openness to the Human Development Index (HDI) in ASEAN. The analysis technique used is the regression of panel data with fixed effect model. The results showed that simultaneously the Variables of Export, Import, and Economic Openness affect the human development index in ASEAN, and partially the independent variables of Export, Import, and Economic Openness have a significant effect on the Human Development Index. ABSTRAKKeterbukaan ekonomi melalui Perdagangan Internasional memiliki hubungan yang kompleks dengan pembangunan manusia. Ekonomi mainstream umumnya berasumsi bahwa pembangunan manusia secara otomatis mengikuti dari pertumbuhan ekonomi. Penelitian ini menggunakan Indeks pembangunan manusia sebagai indikator pembangunan pada aspek kualitas manusia dalam negara. Ada beberapa alasan indeks pembangunan manusia dijadikan sebagai Indikator dari pembangunan suatu negara diantara komponen mendasar yaitu umur panjang, kesehatan, pengetahuan, dan standar hidup. Penelitian ini menggunakan variabel Indeks Pembangunan Manusia (IPM) sebagai variabel dependen sedangkan perdagangan Internasional yang di proksikan dengan nilai Ekspor, Impor dan keterbukaan ekonomi sebagai variabel independen. Variabel tersebut merupakan data yang berada di negara-negara ASEAN selama tahun 2013-2019. Penelitian ini memiliki tujuan untuk memberikan informasi mengenai pengaruh perdagangan internasional dan keterbukaan ekonomi terhadap Indeks Pembangunan Manusia (IPM) di ASEAN. Teknik analisis menggunakan regresi data panel model efek tetap (Fixed Effect Model). Hasil penelitian menunjukkan bahwa secara bersamaan (Simultan) variabel Ekspor, Impor, dan Keterbukaan Ekonomi mempengaruhi indeks pembangunan manusia di ASEAN, dan secara satuan (Parsial) variabel Independen Ekspor, Impor, dan Keterbukaan Ekonomi berpengaruh signifikan terhadap Indeks Pembangunan Manusia.JEL : F13, F10, F41

scholarly journals Determinant of Human Development Index in ASEAN Countries

2018 ◽  
Vol 7 (1) ◽  
pp. 113-122 ◽  
Author(s):  
A. Arisman
Keyword(s):  
Human Development ◽  
Human Development Index ◽  
Fixed Effect Model ◽  
Fixed Effect ◽  
Development Index ◽  
Asean Member ◽  
Effect Model ◽  
Asean Countries ◽  
Human Quality ◽  
Capita Income Growth

Human development index is one indicator of development progress on aspects of human quality in a country. This study aims to determine the factors that affect the human development index in nations in ASEAN member countries. The analysis technique used is regression by using panel data regression with fixed effect model. The results of processing with fixed effect model show that population and per capita income growth rate affects the human development index in ASEAN member countries, while the variable rate of inflation and unemployment rate does not have an impact on the human development index. This study implies the importance of government to control the population and acceleration of economic growth.DOI: 10.15408/sjie.v7i1.6756

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 PDRB, Tingkat Pengangguran, dan IPM Terhadap Tingkat Kemiskinan di Provinsi Jawa Tengah

2018 ◽  
Vol 33 (2) ◽  
Author(s):  
Ridho Andhykha ◽  
Herniwati Retno Handayani ◽  
Nenik Woyanti
Keyword(s):  
Time Series ◽  
Cross Section ◽  
Human Development Index ◽  
Fixed Effect Model ◽  
Fixed Effect ◽  
Least Square ◽  
Poverty Level ◽  
Dummy Variable ◽  
Central Java ◽  
Effect Model

<p><strong>Abstrak</strong></p><p>Tingginya tingkat kemiskinan di Jawa Tengah menunjukkan proses pembangunan ekonomi yang belum bisa meningkatkan kesejahteraan masyarakat secara merata. Dengan demikian, diperlukan adanya analisis untuk mengetahui factor-faktor yang mempengaruhi kemiskinan dalam rangka mengatasi kemiskinan. Tujuan dari penelitian ini yaitu menganalisis Produk Domestik Regional Bruto (PDRB), Tingkat Kemiskinan, Indeks Pembangunan Manusia (IPM) yang mempengaruhi kemiskinan pada 35 Kabupaten/Kota di Provinsi Jawa Tengah dari tahun 2011 hingga 2015. Penelitian ini menggunakan data sekunder dengan data cross-section terdiri dari 35 Kabupaten/Kota di Provinsi Jawa Tengah dan data time-series yaitu tahun 2011-2015. Alat analisis yang digunakan dalam dalam mengestimasi model regresi data panel yaitu <em>Fixed Effect Model (FEM)</em> atau disebut juga <em>Least Square Dummy Variable</em>. Hasil penelitian menunjukkan bahwa variabel laju pertumbuhan PDRB berpengaruh positif dan signifikan terhadap Tingkat Kemiskinan. IPM berpengaruh negatif dan signifikan terhadap Tingkat Kemiskinan. Sedangkan Tingkat Pengangguran Terbuka berpengaruh positif dan signifikan terhadap Tingkat Kemiskinan.</p><p> </p><p>Kata kunci:      Kemiskinan, Laju Pertumbuhan PDRB, Indeks Pembangunan                                 Manusia (IPM), <em>Fixed Effect Model</em>.</p><p align="center"><strong> </strong></p><p align="center"><strong> </strong></p><p><strong>Abstract</strong></p><p><em>The high level of poverty in Central Java shows unreliable development that still cannot increase prosperity equally. Hence, analysis is required to identify several factor that affect. This research’s purpose is to identify Gross Domestic Regional Product (GDRP), Unemployment Level, Human Development Index (HDI) that affect the poverty level of the poverty level of 35 Districts/Cities of Central Java Province from 2011 until 2016.</em><em> </em><em>This research uses secondary data containing 35 Districts/Cities of Central Java on cross section data and 2011 until 2016 on time series data. The analytical method of this research is Fixed Effect Model (FEM) or Least Square Dummy Variable (LSDV). The results of this research show that Growth of GDRP gives positive and significant effect for poverty level. HDI give negative and significant effect for poverty level. On the other side, Unemployment Level give positive and significant effect for poverty level.</em></p><p><em> </em></p><p><em>Keyword:        Poverty, Growth of GDRP, Human Development Index (HDI), Unemployment, Fixed Effect Model.</em></p>

scholarly journals INDEKS PERSEPSI KORUPSI DAN PEMBANGUNAN MANUSIA TERHADAP PERTUMBUHAN EKONOMI DI NEGARA-NEGARA ASIA TENGGARA

Jurnal Ecogen ◽  
2019 ◽  
Vol 1 (3) ◽  
pp. 681
Author(s):  
Muhammad Fajar ◽  
Zul Azhar
Keyword(s):  
Economic Growth ◽  
Human Development ◽  
Human Development Index ◽  
Fixed Effect Model ◽  
Southeast Asian ◽  
Least Square ◽  
Asian Countries ◽  
Development Index ◽  
The Government ◽  
Southeast Asian Countries

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

scholarly journals Analisis Regresi Panel pada Pemodelan Tingkat Kematian Bayi di Provinsi Sulawesi Selatan

2020 ◽  
Vol 2 (2) ◽  
pp. 115
Author(s):  
Syafruddin Side ◽  
S. Sukarna ◽  
Raihana Nurfitrah
Keyword(s):  
Panel Data ◽  
Infant Mortality ◽  
Regression Model ◽  
Fixed Effect Model ◽  
Fixed Effect ◽  
Least Square ◽  
Dummy Variable ◽  
Effect Model ◽  
Panel Data Regression ◽  
Data Regression

Penelitian ini membahas mengenai estimasi parameter model regresi data panel pada pemodelan tingkat kematian bayi di Provinsi Sulawesi Selatan dari tahun 2014 sampai dengan 2015. Data yang digunakan adalah data sekunder dari Dinas Kesehatan Provinsi Sulawesi Selatan yang berupa jumlah kematian bayi, berat bayi lahir rendah, persalinan yang ditolong oleh tenaga kesehatan, penduduk miskin, bayi yang diberi ASI ekslusif dan rumah tangga berperilaku bersih sehat di seluruh Kabupaten/Kota di Provinsi Sulawesi Selatan tahun 2014-2016. Analisis data dilakukan dengan menggunakan penghitungan manual dan dengan menggunakan software EViews 9. Pembahasan dimulai dari melakukan estimasi parameter model regresi data panel, menentukan model regresi data panel terbaik, , menguji asumsi model regresi data panel, pengujian signifikansi parameter dan interpretasi model regresi. Dalam penelitian ini diperoleh kesimpulan yaitu estimasi model regresi data panel terbaik dengan pendekatan fixed effect model.Kata kunci:Regresi Data Panel, Kematian Bayi, Fixed Effect Model, Least Square Dummy Variable. This research discusses about parameter estimation of panel data regression model of infant mortality level modelling in South Sulawesi from 2014 to 2015. The data used were secondary data from Dinas Kesehatan Provinsi Sulawesi Selatan in the form of number of infant mortality, low weight of infant, childbirth rescued by health workers, poor population, infants who were given exclusive breast milk and household that behaves well in the whole district/town in South Sulawesi year 2014-2016. Data analysis was performed using the calculation manually and by using EViews 9 software. The discussion started from doing parameter estimation of panel data regression model, determining the best panel data regression model, testing the assumption of panel data regression model, testing the signification of parameter and interpretation of regression model. Conclusion of this research are the estimation of regression model is the best panel data regression model with fixed effects model approach.Keywords:Panel Data Regression, Infant Mortality, Fixed Effect Model, Least Square Dummy Variable.

scholarly journals Human development index modelling in South Kalimantan province using panel regression

2021 ◽  
Vol 2106 (1) ◽  
pp. 012004
Author(s):  
M Istiqhomah ◽  
N Salam ◽  
A S Lestia
Keyword(s):  
Quality Of Life ◽  
Data Analysis ◽  
Human Development ◽  
Human Development Index ◽  
Fixed Effect Model ◽  
Time Effect ◽  
Panel Regression ◽  
Development Index ◽  
Effect Model

Abstract Human development is a paradigm and becomes the focus and target of all development activities. Development is a way to improve welfare and a better quality of life. The Human Development Index (HDI) is one indicator to measure the success of a development. The purpose of this research is to describe the factors that are thought to influence HDI in South Kalimantan Province, estimate the parameters of the HDI panel regression model, and determine the best model. The data of this research is sourced from the Central Statistics Agency (BPS) of South Kalimantan Province with a period from 2015-2018. Based on the results of data analysis it can be concluded that the Fixed Effect Model with the time effect is the best model of the HDI panel regression in South Kalimantan Province with an R-Squared value of 99,81.

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.

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