scholarly journals Human Development Index, Poverty and Gross Regional Domestic Product: Evidence from Malang, Indonesia

2019 ◽  
Vol 7 (2) ◽  
pp. 146-152
Author(s):  
Dwi Wulandari ◽  
Bagus Shandy Narmaditya ◽  
Putra Hilmi Prayitno ◽  
Suryati Ishak ◽  
Lutfi Asnan
Keyword(s):  
Human Development ◽  
Human Development Index ◽  
Time Series Data ◽  
Negative Relationship ◽  
Domestic Product ◽  
Series Data ◽  
Poverty Level ◽  
Development Index ◽  
Long Run ◽  
The Relationship

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.

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 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
Keyword(s):  
Economic Growth ◽  
Population Density ◽  
Human Development ◽  
Human Development Index ◽  
Time Series Data ◽  
Secondary Data ◽  
Coefficient Of Determination ◽  
Series Data ◽  
Poverty Level ◽  
Development Index

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.

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%.

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

2021 ◽  
Vol 39 (2) ◽  
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 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 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.

scholarly journals Money supply and economic growth of Nepal: ARDL approach

2020 ◽  
Vol 4 (1) ◽  
pp. 76-94
Author(s):  
Keshar Bahadur Kunwar
Keyword(s):  
Economic Growth ◽  
Gross Domestic Product ◽  
Money Supply ◽  
Time Series Data ◽  
Empirical Relationship ◽  
Domestic Product ◽  
Series Data ◽  
P Value ◽  
Long Run ◽  
The Relationship

There are a number of theories illustrating the relationship between money supply and gross domestic product. Money supply can be defined as the total stock of money circulating in the economy. The circulating money involves the currency, printed notes, money in the deposit accounts, and in the form of other liquid assets. Valuation of money supply helps analysts and policy makers to frame the policy or to alter the existing policy of increasing or reducing the supply of money. The valuation is important as it ultimately affects the business cycle and thereby affecting the economy. This study sought to provide answers to the question, what are the effects of money supply on the gross domestic product in Nepal? The study undertook a causal research design using time series data from the period 1974/75 to 2017/18 to critically investigate the relationship between money supply and economic growth by establishing an empirical relationship that exists between them. The study employed the Augmented Diky fuller test and ARDL- VECM model. The results indicate the existence of a significant long-run relationship between money supply and economic growth as measured by GDP. LNBM is significant to LNGDP and LNGDP is also significant to LNBM so there is bi-directional causality. There is unidirectional relationship existing between LNINF to LNGDP and LNINF to LNBM. ECTcoefficient vale are negative and the p-value of above three approaches are also less than 5 percent which is desirable for the ARDL model.

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