scholarly journals PENGARUH AHH, IDG, DAN JP TERHADAP IPM DI INDONESIA

2021 ◽  
Vol 10 (2) ◽  
pp. 33
Author(s):  
Siti Khairani Simanjuntak ◽  
Devi Andriyani
Keyword(s):  
Life Expectancy ◽  
Human Development ◽  
Human Development Index ◽  
Time Series Data ◽  
Random Effect ◽  
Random Effect Model ◽  
Series Data ◽  
Population Number ◽  
Development Index ◽  
Gender Empowerment

This study examined the influence of the Life Expectancy Rate, Gender Empowerment Index, and Population Number on the Human Development Index in Indonesia. This study used panel data with time- series data for 6 years from 2015 to 2020 and cross-section data for 5 provinces in Indonesia obtained from the Central Bureau of Statistics. The method of data analysis used was the Random Effect Model using Eviews 10. The results indicated that the life expectancy rate positively and significantly influenced the human development index, the gender empowerment index positively but insignificantly influenced the human development index, and the population negatively and insignificantly influenced the human development index. The researcher hopes that the government can improve the quality of human resources in the fields of health and education so that later the community can compete with other provincesKeywords:Human Development Index, Life Expectancy, Gender Empowerment Index, and Population

scholarly journals Pengaruh Tingkat Kemiskinan dan Jumlah Penduduk Terhadap Indeks Pembangunan Manusia (IPM) Kabupaten Batang Hari 2011 -2019

2020 ◽  
Vol 11 (1) ◽  
pp. 40
Author(s):  
Jasasila Jasasila
Keyword(s):  
Human Development ◽  
Human Development Index ◽  
Time Series Data ◽  
Poverty Rate ◽  
Series Data ◽  
Poverty Level ◽  
Population Number ◽  
Development Index ◽  
The Poor ◽  
Poor Population

Human Development Index is used to measure how much impact arises from efforts to increase the ability of basic human capital. Human Development is a component of development through empowerment of the population that focuses on increasing the human base, judging from the population of Batang Hari Regency which is fluctuating and has the potential for human resources ready to be empowered. The implementation of regional autonomy gives flexibility to the Regional Government of Batang Hari Regency to carry out regional development more independently. Besides that what needs to be considered is the growth of the poor population, in Batanghari District the development of the poor population has also fluctuated, where in 2019 there was a decrease of 26.53% from the previous year. To measure poverty, BPS uses the concept of ability to meet basic needs approach. This is done in Batang Hari Regency, using data from 2011 - 2019. The type of data used in this study is Time Series data, which is the type of data consisting of variables collected according to the order of time within a certain timeframe, while the analytical methods used in This research is a quantitative method. Quantitative analysis is used to determine the Effect of Poverty Rate and Population Number on the human development index (HDI) in Batang Hari District 2011-2019. To analyze the influence of data analysis, this is done by using multiple linear regression models using Eviews program version 9.0. poverty level and Population simultaneously or together have a very significant effect on the Human Development Index in Batang Hari District 2011-2019. In this study the R2 value is 0.975311 which means a set of dependent variables (Poverty Rate and Population Number) in the model can explain the Independent variable by 97.53%. While the rest is explained by other variables outside the model that are not examined. Human Development Index (HDI) of Batang Hari 2011-2019 is 32.58 assuming other variables (Poverty Rate and Population Growth Rate are fixed or 0) From the equation it is known that poverty variable shows a coefficient of 0.03 meaning that if there is an increase in poverty level of 1 unit it will increase the HDI by 0.03% with the assumption that the Population Variable is 0. Whereas for the Total Population from the data processing, the result is 0.00013, meaning that every 1 person increase will increase the Human Development Index (HDI) by 0.00013%.

scholarly journals PENGARUH PRODUK DOMESTIK BRUTO (PDB) DAN INDEKS PEMBANGUNAN MANUSIA (IPM) TERHADAP ANGKA KEMISKINAN DI INDONESIA

2010 ◽  
Vol 8 (2) ◽  
pp. 357
Author(s):  
Muhammad Sri Wahyudi Suliswanto
Keyword(s):  
Gross Domestic Product ◽  
Human Development ◽  
Human Development Index ◽  
Random Effect ◽  
Random Effect Model ◽  
Negative Influence ◽  
Domestic Product ◽  
Development Index ◽  
Effect Model ◽  
Independent Variable

Poverty is classic issue faced by most developing countries and is one of economic indicators to view public welfare level in any region. The research aimed to analyze effect of Gross Domestic Product (GDP), and human development index on poverty in Indonesia. Analysis used quantitative with Random Effect Model (REM) method in Panel Data with time series year 2006 to 2008. Anaysis result concluded that all independent variable simultaneously had significant effect on poverty variable in Indonesia and partially Gross Domestic Product (GDP) variable had significant negative influence on poverty with α 20%, and Human Development Index (HDI) variable had significant negative influence on poverty with α 5%.

scholarly journals THE EFFECT OF CAPITAL EXPENDITURE AND ECONOMIC GROWTH ON THE HUMAN DEVELOPMENT INDEX OF THE DISTRICT CITY IN NORTH SUMATERA

2020 ◽  
Vol 7 (1) ◽  
pp. 585-594
Author(s):  
Muammar Rinaldi ◽  
Zainal Arifin ◽  
Indra Maipita ◽  
Saidun Hutasuhut
Keyword(s):  
Economic Growth ◽  
Human Development ◽  
Human Development Index ◽  
Time Series Data ◽  
Capital Expenditure ◽  
Numerical Data ◽  
Series Data ◽  
Development Index ◽  
Analysis Technique ◽  
North Sumatra

This study aims to analyze the effect of capital expenditure and economic growth simultaneously on the Human Development Index (HDI) in districts/cities in North Sumatra. This type of research is a descriptive-quantitative approach that suppresses its analysis of numerical data that is processed by the statistical method. Sources of data in this study were taken from the Central Bureau of Statistics of North Sumatra for the HDI data. The sample in this study is all districts/cities in North Sumatra for the period 2013-2017. The data analysis technique used in this study uses panel data regression with Eviews 7 because, in this study, there are characteristics of cross-section and time-series data simultaneously. The results of this study indicate that capital expenditure partially has a positive and significant effect on the Human Development Index in districts/cities in North Sumatra. Economic growth partially has a positive and significant effect on the HDI in districts/cities in North Sumatra, and capital expenditure and economic growth have a positive and significant effect simultaneously on the Human Development Index in districts/cities in North Sumatra.

scholarly journals Analysis of Factors Affecting the Human Development Index in West Kalimantan Province using Data Panel Data Regression

2018 ◽  
Vol 18 (2) ◽  
pp. 97-105
Author(s):  
Uray Hety Humaira ◽  
Jaka Nugraha
Keyword(s):  
Human Development ◽  
Human Development Index ◽  
Time Series Data ◽  
National Level ◽  
Fixed Effect Model ◽  
Paper Analysis ◽  
Series Data ◽  
West Kalimantan ◽  
Development Index ◽  
Capita Expenditure

Development in the country is growing including in the West Borneo Province. However in 2015, the achievement of human development at the National level is quite low, while the District and City varied considerably. Human Development Index is one of the parameter for human development that are affected by many factors. In this paper, analysis for identify the factors for human development index in West Kalimantan Province by using Regression Analysis was conducted. Regression was based on time series data from 2012 until 2015. It is found that Fixed Effect Model is the best regression model with the R2 of 0.99853%. The influencing variables are Life Expectancy (AHH), Adjusted Per Capita (Expenditure), School Average (RLS), School Expectation (HLS), and Gross Regional Domestic Product at Constant Price (GRDP).

scholarly journals ANALISIS PENGARUH BELANJA PENDIDIKAN, BELANJA KESEHATAN, TINGKAT KEMISKINAN DAN PDRB TERHADAP IPM DI PROVINSI ACEH

2017 ◽  
Vol 3 (1) ◽  
pp. 51-69
Author(s):  
Muliza Muliza ◽  
Teuku Zulham ◽  
Chenny Seftarita
Keyword(s):  
Panel Data ◽  
Human Development ◽  
Government Spending ◽  
Human Development Index ◽  
Random Effect ◽  
Random Effect Model ◽  
Health Sector ◽  
City Governments ◽  
Development Index ◽  
Negative Effect

This study aims to look at the influence of the variables government spending on health and education, poverty and Gross Domestic Product (GDP) of the Human Development Index (HDI) in the province of Aceh. The analytical method used in this research is the analysis of the panel data regression model parameter estimation using a random effects model (REM). The data used is the panel data during the period 2010-2014. The results showed that the variables government spending on education and health sector no significant effect on the human development index, this happens because the district/city governments allocate their spending still more dominant that the type of expenditure that are not directly impact the IPM. While poverty variables significant negative effect on the human development index, then with reduced levels of poverty can enhance human development index. GRDP positive and significant effect on the human development index, which means that the GDP increases, IPM will also increase.Penelitian ini bertujuan untuk melihat pengaruh dari variabel-variabel belanja pemerintah pada sektor kesehatan dan pendidikan, tingkat kemiskinan serta Produk Domestik Regional Bruto (PDRB) terhadap Indeks Pembangunan Manusia (IPM) di Provinsi Aceh. Metode analisis yang digunakan dalam penelitian ini adalah analisis regresi data panel dengan estimasi parameter model menggunakan random effect model (REM). Data yang digunakan adalah data panel selama periode 2010-2014. Hasil penelitian menunjukan bahwa variabel pengeluaran pemerintah di sektor pendidikan dan kesehatan tidak berpengaruh signifikan terhadap indeks pembangunan manusia, hal ini terjadi karena pemerintah kabupaten/kota masih lebih dominan mengalokasikan belanjanya yang pada jenis belanja yang secara tidak lansung memberikan pengaruh terhadap IPM. Sedangkan variabel kemiskinan berpengaruh negatif dan signifikan terhadap indeks pembangunan manusia, maka dengan menurunnya tingkat kemiskinan dapat meningkatkan indeks pembangunan manusia. PDRB berpengaruh positif dan signifikan terhadap indeks pembangunan manusia, yang berarti PDRB meningkat maka IPM juga akan meningkat.

scholarly journals ANALISIS FAKTOR YANG MEMPENGARUHI HUMAN DEVELOPMENT INDEX (HDI) PADA 6 DAERAH TERTINGGAL DI PULAU JAWA TAHUN 2010-2016

2017 ◽  
Vol 15 (2) ◽  
pp. 113
Author(s):  
Yunita Firdha Kyswantoro
Keyword(s):  
Economic Growth ◽  
Labor Force ◽  
Human Development ◽  
Human Development Index ◽  
Random Effect ◽  
Random Effect Model ◽  
Poor People ◽  
Development Index ◽  
Per Capita ◽  
Force Variable

Disadvantaged areas are districts whose areas and communities are less developed when compared to other regions on a national scale. Java Island as the contribution of the highest economic growth in Indonesia in fact accounted for 6 of 122 disadvantaged areas in Indonesia, namely Kab. Bondowoso, Kab. Situbondo, Kab. Bangkalan, Kab.Sampang, Kab. Pandeglang, Kab. Lebak. One of the criteria of disadvantaged areas is human resources, this can be measured through HDI (Human Development Index). The number of poor people, labor force and GRDP per capita are some factors that are considered to illustrate the influence of HDI in 6 disadvantaged areas. This research used Random Effect Model (REM) panel data regression in 6 disadvantaged areas in Java Island 2010 - 2016. The result of this research, labor force variable has no significant effect to Human Development Index (HDI). While the number of poor and PDRB perkapita have a significant effect on HDI in 6 disadvantaged areas in Java. It is therefore an effective way to accelerate the growth of economic growth in underdeveloped areas related to HDI through the decline of the number of poor people with the creation of labor-intensive jobs which in turn will increase the per capita GDP. Thus, increasing GRDP per capita will increase Human Development Index (HDI) where HDI is one indicator in economic growth of a region.

scholarly journals The Impact of Globalization on Human Development Index: A Case of Pakistan

2020 ◽  
Vol 39 (1) ◽  
Author(s):  
Adiqa Kiani ◽  
Noor Mohammad ◽  
Raheem Bux Soomro
Keyword(s):  
Human Development ◽  
Human Development Index ◽  
Time Series Data ◽  
Positive Impact ◽  
Series Data ◽  
Development Index ◽  
Long Run ◽  
Political Dimensions ◽  
The Impact ◽  
Adf Test

The main objective of the study is to explore the short and long run relationship of globalization and human development index for 34 years during 1980 to 2014. In order to analyze economic, social and political dimensions of globalization separately for Pakistan economy. The time series data compiled from various sources including UNDP annual Human Development Reports, SPDC Social Development report, Pakistan Review 2005-06, World Bank and KOF. A semi-log model was used to explain the relationship, whereas some other models were also used to test the mobility of the variables. The test applied is ADF test and on the basis of ADF test results, the ARDL method of co integration was used to test long run impact of all independent variables on human development index. From the findings, we may conclude that globalization overall and social, political and economic globalization have positive impact on human development index for Pakistan, whereas some control variables like population density effects positively, and greenhouse gas emissions significantly and negatively affect the globalization. It is suggested that in order to improve the globalization, it is mandatory to focus on indirect effects of globalization and make necessary plans to reduce such emissions.

scholarly journals PENGARUH PENGELUARAN PEMERINTAH SEKTOR PENDIDIKAN, KESEHATAN DAN TPAK TERHADAP IPM DI INDONESIA

2020 ◽  
Vol 9 (1) ◽  
pp. 34
Author(s):  
Ulfa Maulina ◽  
Devi Andriyani
Keyword(s):  
Human Development ◽  
Government Spending ◽  
Human Development Index ◽  
Time Series Data ◽  
Government Expenditure ◽  
Health Sector ◽  
Education Sector ◽  
Series Data ◽  
Labor Participation ◽  
Development Index

This study aims to determine the effect of government spending of education sector, health and level of labor force participation on human development index in Indonesia. This study used time series data from 2005 to 2019. The method of data analysis uses multiple regression analysis. The results of partially show that government expenditure of education sector has a negative and significant effect on human development index in Indonesia, government spending of health sector has a positif and significant effect on human development index in Indonesia, and the level of labor participation has a positive but insignificant effect on human development index in Indonesia. Simultaneously, government spending of education sector, health, and level of labor participation have a positive and significant effect on the human development index in Indonesia.

scholarly journals Renewable Energy Use, Real GDP, And Human Development Index In Bangladesh: Evidence From Simultaneous Equation Model

2021 ◽  
Vol 07 (04) ◽  
Author(s):  
Rabeya Basri ◽  
Keyword(s):  
Renewable Energy ◽  
Human Development ◽  
Human Development Index ◽  
Energy Use ◽  
Time Series Data ◽  
Series Data ◽  
Development Index ◽  
Real Gdp ◽  
The Government ◽  
The Given

This paper tries to seek out the correlation between renewable energy use, real GDP, and HDI in addition to trade openness, urbanization, and environmental aspects in the case of Bangladesh during the phase of 1990-2015. In persuasion of the objective, time-series data of the given period is analyzed by means of the 2SLS approach. We also apply the VECM Granger causality technique in order to find the underlying relationship between the given variables. Findings of the study suggest that real GDP, CO2 emissions, and use of renewable energy have positive consequences on the human development index while trade liberalization and urbanization have insignificant impacts on it. The study finds renewable energy use improves human development processes. Therefore, the government should emphasize on renewable energy production and the use of renewable energy.

scholarly journals Impact of human capital on economic growth: A case study of Pakistan

2021 ◽  
Vol 2 (2) ◽  
pp. 64-69
Author(s):  
Raheela Khatoon ◽  
Iqbal Javed ◽  
Muhammad Munawar Hayat
Keyword(s):  
Economic Growth ◽  
Human Capital ◽  
Infant Mortality ◽  
Human Development ◽  
Human Development Index ◽  
Time Series Data ◽  
Infant Mortality Rate ◽  
Series Data ◽  
Development Index ◽  
The Impact

A country is prosperous if it has efficient development programs. Human capital contains resources like education, health, training, skills etc. For economic progress these qualities are very vital. Basic objective of this research is to explain the impact of human capital on growth and development of economics sector of the Pakistan. Because today in the developing countries, human development and growth has becomes the burning issues. To analyse the association between human capital and economic growth, used GDP as a dependent variable. This study further use Human development index as independent variable. Proxy of human development index consist of education index, health, fertility, infant mortality, life expectancy and sanitation. Our focus will be more on the education. Time series data for the years 1990-2019 were used. ARDL model was used by incorporating the human capital formation with other explanatory variables. The findings shows that the human capital has positive and significant impact on growth and the negative influence on the population and infant mortality rate.

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