scholarly journals Pengaruh pertumbuhan ekonomi, indeks pembangunan manusia dan kepadatan penduduk terhadap tingkat kemiskinan kabupaten/kota di Provinsi Jambi

2019 ◽  
Vol 8 (2) ◽  
pp. 96-107
Author(s):  
Rahma Wardana Putri ◽  
Junaidi Junaidi ◽  
Candra Mustika

This study deals with the effect of economic growth, Human Development Index (HDI) and population density on the poverty levels of districts/cities in Jambi Province in 2013-2017. The type of data used in this study are combined secondary data from time series data and cross section data from 2013-2017. The data used is obtained from the official website of the Central Statistic Agency of Jambi Province. The analytical method used is panel data regression analysis. The result showed that the variabels of economic growth and population density had a siginificant effect on the poverty level of districts/cities in Jambi Province in 2013-2017. The coefficient of determination is 0.982702, which means that the independent variabels of economic growth, Human Developmet Index (HDI) and population density affect 98.27% of the dependent variabels of poverty in districts/cities in Jambi Province. Simultaneous test results (F test), show taht economic growth, Human Development Index (HDI) and population density simultaneously have a significant effect on the poverty level of districts/cities in Jambi Province. Keywords: Economic Growth, Human Development Index (HDI), Population Density, Poverty Level.

2020 ◽  
Vol 7 (1) ◽  
pp. 585-594
Author(s):  
Muammar Rinaldi ◽  
Zainal Arifin ◽  
Indra Maipita ◽  
Saidun Hutasuhut

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.


2020 ◽  
Vol 2 (3) ◽  
pp. 169-176
Author(s):  
Puji Yuniarti ◽  
Wiwin Wianti ◽  
Nandang Estri Nurgaheni

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


2021 ◽  
Vol 2 (2) ◽  
pp. 64-69
Author(s):  
Raheela Khatoon ◽  
Iqbal Javed ◽  
Muhammad Munawar Hayat

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.


2019 ◽  
Vol 7 (2) ◽  
pp. 146-152
Author(s):  
Dwi Wulandari ◽  
Bagus Shandy Narmaditya ◽  
Putra Hilmi Prayitno ◽  
Suryati Ishak ◽  
Lutfi Asnan

This study aimed at analyzing the relationship between human development index, poverty level and gross regional domestic product in Malang Regency in Indonesia. This research was initiated by the poverty level which shows a moderate level in Malang Regency and how its impact on gross regional domestic product after the Development of Southern Cross Lane (JLS) in Malang. The study applied an explanatory research using time series data between 2014 and 2018. For the analysis, Vector Error Correction Model (VECM) was applied to understand the relationship between variables both in the short-term and in the long-term. The findings showed that in the short-run both variables have a negative correlation with gross regional domestic product. Meanwhile, in the long-run, human development index has a negative relationship to gross regional domestic product, whilst poverty variables positively affects gross regional domestic product.


2020 ◽  
Vol 11 (1) ◽  
pp. 40
Author(s):  
Jasasila Jasasila

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%.


Society ◽  
2020 ◽  
Vol 8 (2) ◽  
pp. 596-610
Author(s):  
Prince Charles Heston Runtunuwu

This research aims to determine the effect of inflation, per capita income. The method used is a quantitative method with a descriptive approach. The data analysis technique uses multiple linear regression models, which are continued by the classical assumption test. This research uses secondary data, precisely ten years of time-series data from 2010-2019 obtained from the Central Bureau of Statistics, books, literature, the internet, records, and other sources related. The research sample consisted of 40 data taken per quarter, from 2010-2019. The analytical method used in this research is multiple linear regressions. The results showed that inflation had a negative and insignificant effect on Human Development Index (HDI). In contrast, per capita income and unemployment had a negative and significant effect on Human Development Index (HDI). Inflation, per capita income, and unemployment significantly affected the Human Development Index (HDI) in Ternate City. The independent variable’s determination (R Square) on the dependent variable is 0.836 or 83.6%. It means inflation, per capita income, and unemployment can affect the Human Development Index (HDI) in Ternate City at 83.6%, remaining 16.4% by other factors.


2019 ◽  
Vol 1 (4) ◽  
pp. 37
Author(s):  
Yulizar Fikri ◽  
Ali Anis

This study aims to determine the analysis of the determinants of the composite stock price index in Indonesia. The independent variables in this study are inflation as X1, foreign exchange reserves as X2, exchange rates as X3, and economic growth as X4, and the dependent variable of the composite stock price index as Y. The data used are secondary data in the formof time series data from 2010Q1 until 2019Q2, with data collection techniques, namely documentation from Bank Indonesia publications, the Central Statistics Agency, investing. comsite and library research. The research methods used are: (1) Multiple Linear Regression, (2) Classical Assumption Test (3) coefficient of determination. The results of this study indicate that:(1) inflation does not significantly influence the composite stock price index. (2) foreign exchange reserves have a significant positive effect on the composite stock price index. (3) the rupiah exchange rate has an influence on the composite stock price index and (4) economic growth hasno significant effect on the composite stock price index.


2018 ◽  
Vol 14 (2) ◽  
pp. 197-211
Author(s):  
Arfah Habib Saragih

Abstract: An Analysis of Local Taxes Revenue’s Effect on Human Development Index. Regional tax reform in Indonesia has been ongoing for approximately twenty years. The aim of the tax reform is to increase regional revenues from tax which will be used society’s welfare through regional development, which can be measured by Human Development Index (HDI). This study aims to analyse the effect of local tax revenue on HDI in Indonesia. Quantitative research method is used with unit of analysis of thirty-four provinces in Indonesia in 2013-2016, with a total of 134 observations. Secondary data is processed through panel data regression using random effect method. This study finds that local tax revenue has a significant positive effect on HDI. This study also finds that economic growth and unemployment rates have no significant effect on HDI, while gini ratio has a significant negative effect on HDI. Keywords: local taxes, human development index, tax reform, economic growth, gini ratioAbstrak: Analisis Pengaruh Penerimaan Pajak Daerah Terhadap Indeks Pembangunan Manusia. Reformasi perpajakan daerah di Indonesia sudah berlangsung selama kurang lebih dua puluh tahun. Tujuan dari reformasi perpajakan tersebut adalah untuk meningkatkan penerimaan daerah dari sektor perpajakan yang akan digunakan untuk kemakmuran rakyat melalui pembangunan daerah yang dapat diukur salah satunya dengan Indeks Pembangunan Manusia (IPM). Penelitian ini bertujuan untuk menguji pengaruh penerimaan pajak daerah terhadap IPM di Indonesia. Metode riset yang digunakan adalah metode kuantitatif dengan unit analisis tiga puluh empat provinsi di Indonesia pada periode 2013-2016 dengan total 134 observasi. Data sekunder diolah melalui regresi data panel dengan metode random effect. Penelitian ini menemukan bahwa penerimaan pajak daerah berpengaruh positif signifikan terhadap IPM. Temuan lain yang diperoleh dari penelitian ini adalah pertumbuhan ekonomi dan tingkat pengangguran tidak berpengaruh signifikan terhadap IPM, sedangkan rasio gini berpengaruh negatif signifikan terhadap IPM. Kata kunci: Kata Kunci: pajak daerah, indeks pembangunan manusia, reformasi perpajakan, pertumbuhan ekonomi, rasio gini


2019 ◽  
Vol 16 (1) ◽  
Author(s):  
M Iksan Umsohy

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  


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.


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