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 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 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 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 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 ANALISIS FAKTOR-FAKTOR YANG MEMPENGARUHI PERTUMBUHAN EKONOMI DI OKI

2020 ◽  
Vol 7 (6) ◽  
pp. 1128
Author(s):  
Wheni Yeisa ◽  
Lina Nugraha Rani
Keyword(s):  
Economic Growth ◽  
Regression Analysis ◽  
International Trade ◽  
Panel Data ◽  
Labour Force ◽  
Estimation Model ◽  
Independent Variables ◽  
Panel Data Regression ◽  
Data Regression ◽  
Effect Estimation

Economic growth is an indicator that plays an important role in determining the prosperity of a country. This study aims to analyze the effect of labour force, international trade, and inflation towards economic growth in OIC countries over the period 2007 to 2018. Panel data regression analysis approach was adopted to analyze the effect of independent variables on the dependent variable. The results of the fixed effect estimation model found that all variables simultaneously had a significant effect on economic growth. Partially, labour force and internasional trade have a significant effect, while inflation has no significant effect on economic growth. The results of this study can be used as a reference and evaluation materials for policy makers.Keywords: Labour Force, International Trade, Inflation, Economic Growth, Organizations of Islamic Cooperation

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 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 Kausalitas Pertumbuhan Ekonomi terhadap Indeks Pembangunan Manusia

2018 ◽  
Vol 3 (2) ◽  
pp. 71
Author(s):  
Muslikhati Muslikhati
Keyword(s):  
Economic Growth ◽  
Human Resources ◽  
Human Development ◽  
Granger Causality ◽  
Human Development Index ◽  
Causality Test ◽  
Development Index ◽  
Independent Variables ◽  
The Relationship

Human development is one of the indicators of the success of economic growth. The good quality of human resources goes hand in hand with economic growth, this is because resources as part of the factor of production are the most valuable assets in the economic activities of a country. This study aims to determine and analyze the causality of economic growth towards the quality of human resources. The method used in this study was using the Granger Causality method. Granger Causality Approach is used to measure the strength of the relationship between two or more variables, or it can also be used as a tool to see the direction of the relationship between independent variables and the dependent variable. The variable Human Development Index (HDI) as the dependent variable and per capita income variable as the independent variable. From this study it was concluded that the granger causality test on the proposed research model states that there is no causality relationship between two independent variables and the dependent variable, but significantly the Indonesian economic growth variable has a one-way relationship with the human development index (HDI).Human development is one of the indicators of the success of economic growth. The good quality of human resources goes hand in hand with economic growth, this is because resources as part of the factor of production are the most valuable assets in the economic activities of a country. This study aims to determine and analyze the causality of economic growth towards the quality of human resources. The method used in this study was using the Granger Causality method. Granger Causality Approach is used to measure the strength of the relationship between two or more variables, or it can also be used as a tool to see the direction of the relationship between independent variables and the dependent variable. The variable Human Development Index (HDI) as the dependent variable and per capita income variable as the independent variable. From this study it was concluded that the granger causality test on the proposed research model states that there is no causality relationship between two independent variables and the dependent variable, but significantly the Indonesian economic growth variable has a one-way relationship with the human development index (HDI).

scholarly journals Faktor–faktor yang mempengaruhi inflasi Provinsi-Provinsi di Sumatera

2019 ◽  
Vol 8 (1) ◽  
pp. 1-14
Author(s):  
Lailan Syafrina Hasibuan ◽  
Rahma Nurjanah ◽  
Etik Umiyati
Keyword(s):  
Economic Growth ◽  
Panel Data ◽  
Minimum Wage ◽  
Government Spending ◽  
Quantitative Methods ◽  
Descriptive Analysis ◽  
Random Effect ◽  
Road Infrastructure ◽  
Panel Data Regression ◽  
Data Regression

This study aims to: 1) analyze inflationary developments, road infrastructure, government spending, provincial minimum wage, and economic growth provincial in Sumatra; 2) analyze the influence of road infrastructure, government spending, provincial minimum wage, and economic growth provincial in Sumatra. This research uses a descriptive analysis method to determine the development of each research variable and quantitative methods using panel data regression approach random effect. Based on the descriptive analysis of inflationary development, road infrastructure stagnated, government spending, provincial minimum wage, and economic growth was increased every year. The regression of panel data with random effect approach variable of the provincial minimum wage has a positive and significant influence on the inflation of provincial in Sumatra. While road infrastructure, government spending, economic growth have no significant effect on provincial inflation in Sumatra. Keywords: Inflation, Government spending, Economic growth.

scholarly journals THE IMPLICATION OF BRAIN GAIN ON BRAIN DRAIN PHENOMENON IN OVERCOMING THE PROBLEM OF EDUCATED UNEMPLOYMENT IN INDONESIA

2021 ◽  
Vol 23 (1) ◽  
pp. 133
Author(s):  
Duwi Yunitasari ◽  
Khusnul Khotimah ◽  
Moehammad Fathorrazi
Keyword(s):  
Economic Growth ◽  
Panel Data ◽  
Minimum Wage ◽  
Brain Drain ◽  
Secondary Data ◽  
University Graduates ◽  
National Agency ◽  
Brain Gain ◽  
Panel Data Regression ◽  
Data Regression

The high number of educated unemployment of university graduates is a significant problem in Indonesia. This study aims to find out the effect of brain drain, economic growth, and provincial minimum wage on educated unemployment of university graduates in Indonesia. In this study, we were implementing brain gain on brain drain in Indonesia. This study uses panel data regression that describes the relationship between independent variable and dependent variables. There are two models from the panel data regression method: the Chow test and Hausman Test. The regression model used is fixed-effect model. The data is secondary data collected from Statistical Central Agency (BPS) and National Agency for Placement and Protection of Indonesia Labour (BNP2TKI) in 2014-2018. The results show that brain drain and economic growth influence the educated unemployment of university graduates but the provincial minimum wage does not have a significant relationship with the educated unemployment of University graduates in Indonesia.

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