scholarly journals PENGARUH ALOKASI DANA DESA, PENDAPATAN ASLI DAERAH DAN INDEK PEMBANGUNAN MANUSIA TERHADAP KEMISKINAN KAB/KOTA DI PROVINSI ACEH

2021 ◽  
Vol 10 (2) ◽  
pp. 15
Author(s):  
Herizal Herizal ◽  
Hijri Juliansyah

This study analyzed the effect of Village Fund Allocation, Own-source Revenue, and Human Development Index on Regency/City Poverty in Aceh Province. This study used cross-section data totaling 23 regencies/cities in Aceh Province and time-series data during 2015- 2019. The analysis method used was panel data regression with the help of E-Views 10. The results showed that Village Fund Budget had a value of t- count = 0.699018 < t-table = 1.98157 with an alpha of 0.05. So, it accepted H0 and rejected H1, which indicated that Village Fund Budget had no significant effect on poverty. It can be seen from the probability (p-value) of 0.4860 > 0.05. Own-source Revenue had a value of t-count = 0.018377 < t-table = 1.98157 with an alpha of 0.05. So, It accepted H0 and rejected H2, which indicated that Own-source Revenue had no significant effect on poverty. It can be seen from the probability (p-value) of 0.9854 > 0.05. Human Development Index had a value of t count = -8.727093 > t-table = 1.98157 with an alpha ofSo, it accepted H3 rejected H0, which revealed that the Human Development Index had a significant effect on poverty. It can be seen from the probability (p-value) of 0.0000 < 0.05

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.


2018 ◽  
Vol 18 (2) ◽  
pp. 97-105
Author(s):  
Uray Hety Humaira ◽  
Jaka Nugraha

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).


2020 ◽  
Vol 39 (1) ◽  
Author(s):  
Adiqa Kiani ◽  
Noor Mohammad ◽  
Raheem Bux Soomro

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.


2020 ◽  
Vol 9 (1) ◽  
pp. 34
Author(s):  
Ulfa Maulina ◽  
Devi Andriyani

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.


Author(s):  
Rabeya Basri ◽  

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.


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 5 (2) ◽  
pp. 251
Author(s):  
Sudirman Sudirman ◽  
Sakinah Sakinah

This research is quantitative research that wants to see the influence of Population, Human Development Index and Labor Force on Poverty in Jambi Province. The data used is time series data in 2000 – 2019 while the analysis tool used is multiple linear regression using Eviews 8 as an analysis tool. In this study concluded that the number of productive populations, manusi development index and workforce is able to minimize poverty in Jambi Province.


Author(s):  
Rita Fidella

This research aims to determine the factors affecting human development index (HDI) in regency/city in Indonesia. Based on data from BPS (Statistics Indonesia), human development index (HDI) of each regency/city in Indonesia has a heterogeneous achievement value from the low, middle to high categories of HDI. This indicates that there are still underdeveloped areas and inequality in human development in Indonesia. Meanwhile, regional government expenditure on education, health, and economic functions tends to increase considerably each year. The methods used were panel data regressions with time series data from 2011-2017 and cross section data of 465 regencies/cities in Indonesia. Econometrics results show variables that have significant positive effect on HDI, which are regional government expenditure on education function, health function, economic function, GRDP (Gross Regional Domestic Product), education infrastructure (number of junior high schools), health infrastructure (number of community health center), and BPK (The Audit Board of Indonesia) opinion. While poverty has negative effect, infrastructure (road length) has no effect. To avoid inequality from affecting human development in Indonesia, the government role to prioritize human development in regency/city with HDI achievement values that are still low or underdeveloped is necessary. These contributions can be made by prioritizing expenditure on health, education, and economic functions in the regional budget.


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.


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