scholarly journals Pengaruh pertumbuhan ekonomi, tingkat kemiskinan, pengeluaran pemerintah, tingkat pengangguran terbuka terhadap Indeks Pembangunan Manusia (IPM) Provinsi-provinsi di Sumatera

2019 ◽  
Vol 8 (3) ◽  
pp. 170-183
Author(s):  
Dzaki Furqoni ZA ◽  
Junaidi Junaidi ◽  
Adi Bhakti
Keyword(s):  
Economic Growth ◽  
Human Development ◽  
Unemployment Rate ◽  
Human Development Index ◽  
Government Expenditure ◽  
Government Expenditures ◽  
Poverty Level ◽  
Development Index ◽  
Level Government

Study are as follows: To analyze the effect of economic growth, poverty level, government expenditure and open unemployment on the Human Development Index (HDI) of the Provincial Provinces in Sumatra for the period 2013-2017. Based on the results of the study that economic growth has a significant effect on the human development index. Poverty level has a significant effect on the human development index. Open unemployment has a significant effect on the human development index. Government expenditure has a significant effect on the Human Development Index. Keywords: Economic Growth, Poverty Level, Government Expenditures, Open    Unemployment Rate, and Human Development Index.

scholarly journals Analisis Faktor-faktor yang Mempengaruhi Tingkat Pertumbuhan Ekonomi di Indonesia

2020 ◽  
Vol 2 (3) ◽  
pp. 169-176
Author(s):  
Puji Yuniarti ◽  
Wiwin Wianti ◽  
Nandang Estri Nurgaheni
Keyword(s):  
Economic Growth ◽  
Income Inequality ◽  
Human Development ◽  
Unemployment Rate ◽  
Human Development Index ◽  
Secondary Data ◽  
Participation Rate ◽  
Poverty Level ◽  
Development Index ◽  
Growth Methods

Purpose- This study aims to determine the factors of economic growth in 34 provinces in Indonesia. The variables used include labor force participation rate, human development index, Poverty Level, unemployment rate, income inequality, and economic growth. Methods- Secondary data from the Central Bureau of Statistics were processed using multiple linear regression. Findings- The study show that only force participation rate and unemployment rate were proven to significantly affect economic growth, while human development index, poverty level, and income inequality were not statistically significant. Implications- This study can provide important information on the factors shaping economic growth as a basis for future decision making. Abstrak Tujuan- Penelitian ini bertujuan untuk mengetahui faktor-faktor pertumbuhan ekonomi di 34 provinsi di Indonesia. Variabel yang digunakan antara lain tingkat partisipasi angkatan kerja, indeks pembangunan manusia, tingkat kemiskinan, tingkat pengangguran, ketimpangan pendapatan, dan pertumbuhan ekonomi. Metode- Data sekunder dari Badan Pusat Statistik diolah dengan menggunakan regresi linier berganda. Temuan- Studi tersebut menunjukkan bahwa hanya tingkat partisipasi angkatan dan tingkat pengangguran yang terbukti secara signifikan mempengaruhi pertumbuhan ekonomi, sedangkan indeks pembangunan manusia, tingkat kemiskinan, dan ketimpangan pendapatan tidak signifikan secara statistik. Implikasi- Studi ini dapat memberikan informasi penting tentang faktor-faktor yang membentuk pertumbuhan ekonomi sebagai dasar pengambilan keputusan di masa depan

scholarly journals Pengaruh Kemiskinan, Tingkat Pengangguran, Pertumbuhan Ekonomi dan Pengeluaran Pemerintah Terhadap Indeks Pembangunan Manusia (IPM) di Indonesia Tahun 2014-2018 dalam Perspektif Islam

2020 ◽  
Vol 6 (2) ◽  
pp. 212
Author(s):  
Jahtu Widya Ningrum ◽  
Aziza Hanifa Khairunnisa ◽  
Nurul Huda
Keyword(s):  
Economic Growth ◽  
Human Development ◽  
Unemployment Rate ◽  
Human Development Index ◽  
Descriptive Analysis ◽  
Government Expenditure ◽  
Secondary Data ◽  
Development Index ◽  
Panel Data Regression ◽  
Pool Model

This study aims to determine the effect of poverty, unemployment, economic growth and government spending on the Human Development Index (HDI) in Indonesia in 2014-2018 in an Islamic perspective. Data processing in this study uses descriptive analysis and panel data regression analysis with a pool model approach using Eviews 9 software using secondary data obtained from data that has been published in several sources, Badan Pusat Statistika and the Kementrian Keuangan website for the period of 2014 to 2018. The results of this study indicate that partially the poverty variable and the unemployment rate have a significant effect on HDI which is indicated by a probability value smaller than alpha (0.05), while the economic growth and government expenditure variables have no significant effect on the HDI indicated by the probability value of more greater than the alpha value (0.05). Simultaneously all the research variables have a significant effect on HDI and have an effect that is shown through R2 of 80.78% indicating that the variables of poverty, unemployment rate, economic growth, government expenditure can explain the Y variable, the remaining 19.22% is explained by other variables outside the research variable. Keyword: poverty, unemployment rate, economic growth, and Human Development Index. Penelitian ini bertujun untuk mengetahui pengaruh kemisikinan, tingkat pengangguran, pertumbuhan ekonomi dan pengeluaran pemertintah terhadap Indeks Pembangunan Manusia (IPM) di Indonseia tahun 2014-2018 dalam perspektif islam. Pengolahan data pada penelitian ini menggunakan analisis deskriptif dan analisis regresi data panel dengan pendekatan pool model menggunakan software Eviews 9 dengan menggunakan data sekunder yang diperoleh dari data yang telah di publikasikan pada beberapa sumber yaitu Badan Pusat Statistik dan website Kementerian Keuangan dengan periode waktu tahun 2014 sampai 2018. Hasil penelitian ini menunjukan bahwa secara parsial variabel kemiskinan dan tingkat pengangguran berpengaruh signifikan terhadap IPM yang ditunjukan dengan nilai probabilitas lebih kecil dari nilai alpha (0.05), sedangkan variabel pertumbuhan ekonomi dan pengeluaran pemerintah berpengaruh tidak signifikan terhadap IPM yang ditunjukan dengan nilai probabilitas lebih besar dari nilai alpa (0.05). Secara simultan seluruh variabel penelitian berpengaruh signifkan terhadap IPM dan mempunyai pengaruh yang di tunjukan melalui R2 sebesar 80.78% menunjukan bahwa variabel kemiskinan, tingkat pengangguran, pertumbuhan ekonomi, pengeluaran pemerintah dapat menjelaskan variabel Y, sisanya 19.22 % dijelaskan oleh variabel lain di luar variabel penelitian. Keyword : kemiskinan, tingkat pengangguran, pertumbuhan ekonomi, dan Indeks Pembangunan Manusia.

scholarly journals THE EFFECT OF CAPITAL ALLOCATIONS TO ECONOMIC GROWTH, HUMAN DEVELOPMENT AND POVERTY INDEX PROVINCE IN THE NORTH MALUKU IN YEAR 2010 - 2016

2019 ◽  
Vol 16 (1) ◽  
Author(s):  
M Iksan Umsohy
Keyword(s):  
Economic Growth ◽  
Human Development ◽  
Significant Influence ◽  
Human Development Index ◽  
Negative Impact ◽  
Capital Expenditure ◽  
Poverty Level ◽  
Development Index ◽  
The North ◽  
Expenditure Allocation

This study aims to test and analyze: 1 Influence of Capital Expenditure Allocation to Economic Growth, 2 Influence of Allocation of Capital Expenditure and Economic Growth to Human Development Index, 3 Influence of Capital Expenditure Allocation, Economic Growth and Human Development Index to Poverty in Districts / Cities in North Maluku Province. The research method used is panel data regression. The results of this research founded that model 1 influence of Capital Expenditure Allocation have significant influence to Economic Growth. Model 2 Capital Expenditure Allocation has a positive but insignificant influence on the Human Development Index even though the increase is not significant while Economic Growth has positive and significant effect on Human Development Index while model 3 allocation of Capital Expenditure has positive and significant influence to Poverty. While Economic Growth has a negative impact on Poverty, Furthermore, Human Development Index (HDI) as an indicator of strengthening of human resources has a negative and significant influence on Poverty level in 9 regencies of North Maluku Province.  Keywords: Allocation of Capital Expenditure, Growth, Human Development Index, Poverty  

scholarly journals HUMAN DEVELOPMENT INDEX, UNEMPLOYMENT AND POVERTY IN PAPUA PROVINCE, 2010-2015

2018 ◽  
Vol 16 (1) ◽  
pp. 24
Author(s):  
Nurisqi Amalia ◽  
Anisa Nurpita ◽  
Rina Oktavia
Keyword(s):  
Human Development ◽  
Unemployment Rate ◽  
Human Development Index ◽  
Secondary Data ◽  
Poverty Rate ◽  
Research Data ◽  
Analysis Tool ◽  
Poverty Level ◽  
Development Index ◽  
Independent Variables

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.

scholarly journals Analisis Pengaruh Pengeluaran Pemerintah Terhadap Pertumbuhan Ekonomi dan Indeks Pembangunan Manusia di Indonesia

2016 ◽  
Vol 1 (1) ◽  
pp. 39-50
Author(s):  
Ginanjar Aji Nugroho
Keyword(s):  
Economic Growth ◽  
Human Development ◽  
Human Development Index ◽  
Random Sampling ◽  
Simple Random Sampling ◽  
Government Expenditures ◽  
Analysis Method ◽  
Statistical Average ◽  
Development Index ◽  
The Mean

The puposes of this study are (1) to analyze the effects of government expenditures on education, health and infrastructure sectors toward economic growth and human development index in Indonesia, (2) to investigate the impacts of economic growth on human dvelopment index, (3) and to examine the effects of government expenditures on education, health and infrastructure sectors toward human development index both directly and through the economic growth. The study used samples from twenty provinces, which were selected using simple random sampling, divided into two groups; the first group comprised higher HDI provinces; the second group consisted of lower HDI provinces. To examine the model, the study applied path analysis method. The mean test was also applied to determine whether there were statistical average differences between the two groups. The results of this study show different responds between the higher HDI provinces and lower HDI provinces. The higher HDI provinces show that government expenditures on health and infrastructure have positive and significant impacts on human development index through economic growth indirectly; on the other hand, the lower HDI provinces show that only expenditure on education gives positive and significant impacts on human development index. Meanwhile, the economic growth shows positive and significant impacts on human development index in both higher HDI and lower HDI provinces.  Abstrak Penelitian ini bertujuan untuk: (1).Mengetahui pengaruh pengeluaran pemerintah pada sektor pendidikan, kesehatan dan infrastruktur terhadap pertumbuhan ekonomi dan indeks pembangunan manusia (IPM) di Indonesia, (2).Mengetahui pengaruh pertumbuhan ekonomi terhadap IPM, dan (3).Mengetahui pengaruh pengeluaran pemerintah pada sektor pendidikan, kesehatan dan infrastruktur terhadap IPM, baik secara langsung maupun melalui pertumbuhan ekonomi. Penelitian ini menggunakan sampel dua puluh provinsi yang dipilih dengan teknik simple random sampling yang kemudian dibagi kedalam dua kelompok, yaitu kelompok daerah dengan angka IPM tinggi dan kelompok daerah dengan angka IPM rendah. Metode yang digunakan dalam penelitian ini adalah analisis jalur. Sebagai pendukung, juga dilakukan uji beda rata-rata untuk mengetahui ada tidaknya perbedaan rata-rata secara statistik terhadap dua kelompok tersebut. Hasil estimasi menunjukkan bahwa terdapat perbedaan respon diantara dua kelompok daerah tersebut. Pada kelompok daerah dengan angka IPM tinggi, terlihat bahwa pengeluaran kesehatan dan infrastruktur mempunyai pengaruh positif dan signifikan terhadap IPM melalui pertumbuhan ekonomi, sedangkan pada kelompok daerah dengan angka IPM rendah terlihat bahwa hanya pengeluaran pendidikan yang mempunyai pengaruh positif dan signifikan terhadap angka IPM. Adapun pertumbuhan ekonomi, terlihat menunjukkan pengaruh yang positif dan signifikan terhadap IPM. Hal ini terjadi pada kedua kelompok daerah, baik kelompok daerah dengan IPM tinggi maupun IPM rendah.

ANALISIS PENGARUH PENGELUARAN PEMERINTAH SEKTOR PENDIDIKAN DAN KESEHATAN, INFLASI DAN KEMISKINAN TERHADAP INDEKS PEMBANGUNAN MANUSIA DENGAN PERTUMBUHAN EKONOMI SEBAGAI VARIABEL MODERATING DI INDONESIA

2020 ◽  
pp. 174-186
Author(s):  
A. Mahendra
Keyword(s):  
Economic Growth ◽  
Human Development ◽  
Human Development Index ◽  
Government Expenditure ◽  
Health Sector ◽  
Secondary Data ◽  
Sampling Technique ◽  
Development Index ◽  
Moderating Variables ◽  
Year 2000

This research is intended to know the influence of government expenditure on education and health sector, inflation, and poverty on human development index with economic growth as a moderating variables in Indonesia. Population in this research is Indonesia and 20 of them were selected to be the samples for this research through purposive sampling technique. Estimates conducted by the multiple regression analysis. The data that were used in this study were secondary data, consisted of Government Expenditure, Inflation, and Poverty to human development index for the year 2000-2019. The results of this research, that Based on the partial test (t test), the Poverty variable has no significant effect while the Inflation and Government Expenditure variables have a significant effect on the variables of the human development index in Indonesia, the simultan test (F test), government expenditure, inflation, and poverty have a significant effect on the variables of the human development index. The economic growth variables are unable to moderate the relationship between government expenditure, inflation and poverty on the human development index.

scholarly journals Kenya’s Human Capital Development and Economic Growth: Best Practicesfrom South Korea and Singapore (2002-2014)

2020 ◽  
Keyword(s):  
Economic Growth ◽  
Economic Development ◽  
South Korea ◽  
Human Development ◽  
Human Development Index ◽  
Statistical Significance ◽  
Government Expenditure ◽  
Great Influence ◽  
Successful Implementation ◽  
Development Index

The study examined the role played by HCD in the economic development of Kenya between 2002 and 2014 by interrogating the development models adopted by South Korea and Singapore as a benchmark to determine the gaps in the model adopted by Kenya. Despite Kenya, Singapore and South Korea exhibiting similar income levels in the 1960s, the gap between Kenya’s economic growth and those of South Korea and Singapore has widened tremendously since independence in 1963. Kenya has recorded low Gross Domestic Product (GDP) compared to the two Asian countries. The researcher relied on secondary data sourced from national, regional and international websites and organizations. The data collected was corroborated with data sourced from government offices and websites. Data sets from the three countries was used to examine the extent to which HCD practices affect economic growth for the purposes of deriving the best HCD practices from South Korea and Singapore that influence economic growth. The design therefore necessitated causality analysis using the Granger Causality Test and correlational and regression analysis that facilitated the measurement, development and assessment of the statistical significance of the causal relationships among the study variables. The model variables included GDP as the response variable explained by six predictor variables; government expenditure on education, human development index, average years of schooling as a proxy for percentage of population that has attained education, patents filed by the countries, government effectiveness and government expenditure on research and development. Findings revealed that HCD had a great influence on economic development of a country. Findings further revealed that whereas human development index was found to be positively correlated to economic growth in South Korea and Singapore, it was negatively (inversely) correlated to economic growth in Kenya. To achieve sustained economic growth, the study recommends that the provision of education be strengthened to ensure successful implementation of Competency Based Curriculum with the government laying more emphasis on applied R&D.

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 KEMISKINAN BERBASIS SUSTAINABLE DEVELOPMENT DI PROVINSI JAWA TIMUR

2020 ◽  
Vol 6 (2) ◽  
Author(s):  
Yunita Firdha Kyswantoro
Keyword(s):  
Economic Growth ◽  
Sustainable Development ◽  
Human Development ◽  
Human Development Index ◽  
Point Of View ◽  
Human Beings ◽  
Poverty Level ◽  
Economic Point ◽  
Development Index ◽  
Development Goals

Poverty is one of the goals of the concept of sustainable development. Sustainable Development itself has many indicators such as economic, social, cultural, environment, etc. But in this study, the authors take only a few factors from an economic point of view. Economic growth, open unemployment rate, regional imbalance rate and human development index are some factors that are considered to describe poverty level in East Java Province. This research uses Fixed Effect (FEM) model panel data regression in 38 regencies/cities in East Java Province in 2011-2015. The results of this study indicate that the variables of economic growth and open unemployment variables have no significant effect in describing the level of poverty in East Java. While the variable level of regionalimbalance and variable of HDI have the significant effect on poverty in East Java. Therefore, to achieve sustainable development goals (SDGs), the reduction of poverty in various regions requires a balance of social and economic, not only through the increase of high economic growth but must be accompanied with equitable distribution of income distribution so that the level of regional inequality is smaller and by improving the quality of resources human beings through Human Development Index (HDI) in each region.

scholarly journals DETERMINANT ANALYSIS OF HUMAN DEVELOPMENT INDEX IN OF NORTH SUMATERA PROVINCE

2020 ◽  
Vol 8 (1) ◽  
Author(s):  
Ribka Sari Butar Butar
Keyword(s):  
Economic Growth ◽  
Economic Development ◽  
Human Development ◽  
Government Spending ◽  
Human Development Index ◽  
Government Expenditures ◽  
Poor People ◽  
Development Index ◽  
Education Fund ◽  
Determinant Analysis

The results showed that the number of poor people and government expenditures from the aspect of health funds had a significant effect on the HDI. While open unemployment and government spending from the aspect of education fund did not significantly affect the Human Development Index. The success of the economic development of a region can be seen from the high economic growth, with the increase of economic growth is expected also can improve the welfare of society and increase human development with indicator of Human Development Index (HDI).

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