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

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.

2021 ◽  
Vol 1 (1) ◽  
pp. 40-54
Author(s):  
Muhammad Miftahussalam ◽  
Mohammad Rofiuddin

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.


2017 ◽  
Vol 22 (2) ◽  
Author(s):  
Ayu Aldi Raviyanti ◽  
Sri Rahayu ◽  
Dewa Putra Krishna Mahardika

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.


2020 ◽  
Vol 3 (1) ◽  
pp. 1 ◽  
Author(s):  
Virgie Delawillia Kharisma ◽  
Palupi Lindiasari Samputra ◽  
Payiz Zawahir Muntaha

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.


2014 ◽  
Vol 12 (1) ◽  
pp. 48
Author(s):  
Muhammad Nurcholis

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.


2018 ◽  
Vol 5 (4) ◽  
pp. 368-376
Author(s):  
Andini Mulyasari

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.


2018 ◽  
Vol 16 (1) ◽  
pp. 24
Author(s):  
Nurisqi Amalia ◽  
Anisa Nurpita ◽  
Rina Oktavia

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.


2017 ◽  
Vol 3 (5) ◽  
pp. 359
Author(s):  
Firly Dwitya Kamilia ◽  
Tika Widiastuti

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.


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


Author(s):  
Rima Eka Kurnia ◽  
Yustirania Septiani

The research objective was to analyze the social and economic factors that affect unemployment in the development area of Central Java, namely in Brebes Regency, Tegal City, Tegal Regency, and Pemalang Regency (BREGASMALANG) in 2010-2020. The determinants of unemployment used in this study include the human development index, district/city minimum wage, and gross regional domestic product. The data used in this study are secondary data obtained from the Central Statistics Agency (BPS). The research method used in Panel Data Regression Analysis with Fixed Effect Model (FEM). The result of this study indicates that the human development index & district/city minimum wage it means that it has no significant effect on the open unemployment rate in Bregasmalang. Meanwhile, the gross regional domestic product has a negative and significant effect on the open unemployment rate in Bregasmalang. With the influence of regional gross domestic product on the open unemployment rate, therefore the government is expected to be able to maximize the sub-sectors contained in the GRDP so that the sub-sector is able to increase employment so that it can suppress the high unemployment rate in the Regency/City concerned, namely the Brebes Regency, Tegal City, Tegal Regency, and Pemalang Regency.Keywords: Open Unemployment Rate, HDI, District/City Minimum Wages, and GRDP


2018 ◽  
Vol 2 (2) ◽  
Author(s):  
ERNI AWANTI

This research aims to analyze the impact of financial inclusion toward financial system stability and its determinants in south east asian countries within period of 2007-2015. Multidimensional index of financial inclusion (IFI) used to analyze financial inclusion index and panel data regression with Fixed Effect Model (FEM) used to analyze the impact between variables. The result of estimation using IFI shows that Malaysia has the highest financial inclusion index and estimation using FEM shows that financial inclusion variable has negative and not significant  impact in financial system stability. Other variable which has positive and significant impact to financial system stability are GDP percapita, private credit ratio, and liquidity asset ratio. Otherwise, financial openess index has negative and significant impact to financial system stability.


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