scholarly journals PENGARUH ECONOMIC FREEDOM DAN PENDAPATAN PER KAPITA TERHADAP INDEKS PEMBANGUNAN MANUSIA

Media Ekonomi ◽  
2018 ◽  
Vol 22 (2) ◽  
pp. 181
Author(s):  
Agustina Suparyati
Keyword(s):  
Human Development ◽  
Human Development Index ◽  
Capita Income ◽  
Economic Freedom ◽  
Local Development ◽  
National Income ◽  
Income Per Capita ◽  
Per Capita ◽  
Development Group ◽  
Very High

<span>This study aims to determine the effect of economic freedom and national income per capita <span>of the human development index. Countries will be classified into 4 groups according to the <span>classification in the HDI are very high human development (with an HDI of 0788 or above), <span>high human development (with an HDI of 0677 to 0.784), medium human development <span>(HDI of 0488-0669), and low human development (HDI of less than 0488). The analysis <span>method used in this study is a model of data panel to investigate the influence of Economic <span>Freedom and Income per capita of the HDI. The results showed that for the group of <span>countries very high human local development per capita income is only significant effect on <span>the HDI, for the group of countries High human development and medium human <span>development only economic freedom that affects the HDI, while the low human <span>development group showed that income per capita and Economic Freedom does not affect <span>the HDI.</span></span></span></span></span></span></span></span></span></span></span><br /></span>

scholarly journals PENGARUH ECONOMIC FREEDOM DAN PENDAPATAN PER KAPITA TERHADAP INDEKS PEMBANGUNAN MANUSIA

Media Ekonomi ◽  
2014 ◽  
Vol 22 (2) ◽  
pp. 171
Author(s):  
Agustina Suparyati
Keyword(s):  
Human Development ◽  
Human Development Index ◽  
Economic Freedom ◽  
Local Development ◽  
National Income ◽  
Analysis Method ◽  
Income Per Capita ◽  
Per Capita ◽  
Development Group ◽  
Very High

<p>This study aims to determine the effect of economic freedom and national income per capita of the human development index. Countries will be classified into 4 groups according to the classification in the HDI are very high human development (with an HDI of 0788 or above), high human development (with an HDI of 0677 to 0.784), medium human development (HDI of 0488-0669), and low human development (HDI of less than 0488). The analysis method used in this study is a model of data panel to investigate the influence of Economic Freedom and Income per capita of the HDI. The results showed that for the group of countries very high human local development per capita income is only significant effect on the HDI, for the group of countries High human development and medium human development only economic freedom that affects the HDI, while the low human development group showed that income per capita and Economic Freedom does not affect the HDI.</p>

scholarly journals Analysis of Factors Affecting Human Development Index in the City of Binjai

2021 ◽  
Vol 8 (4) ◽  
pp. 161-170
Author(s):  
Elisabet Novita Barus ◽  
HB. Tarmizi ◽  
Rahmanta .
Keyword(s):  
Human Development ◽  
Human Development Index ◽  
Capita Income ◽  
Health Expenditure ◽  
Per Capita Income ◽  
Education Expenditure ◽  
Development Index ◽  
Shopping Area ◽  
Per Capita ◽  
The City

This study aims to analyze the Factors That Affect Human Development Index in the City of Binjai with variable observations shopping area in the field of health, education, population, and income per capita. This research is causality by performing multiple regression analysis (Multiple Regression Analysis). The Data used is the data of the year 2005 up to 2019 are presented per semester (n=30 samples). The results of the study concluded that the shopping area in the field of health, expenditure on education, expenditure in the field of population, and per capita income is able to influence the human development index in the local government of the City of Binjai. Based on the value of the coefficient of determination (r-square) of all the variables, it was concluded that per capita income is a variable dominant that affect the human development index in the local government of the City of Binjai. Keywords: The Human Development Index, A Shopping Area In The Field Of Health, Expenditure On Education, Expenditure In The Field Of Population, And Per Capita Income.

scholarly journals ANALISA PEMBANGUNAN MANUSIA DAN PENGARUHNYA TERHADAP KESEJAHTERAAN MASYARAKAT DI PROVINSI PAPUA

2020 ◽  
Vol 4 (3) ◽  
Author(s):  
Charley M. Bisai ◽  
Maria Kbarek ◽  
Achmad Riyadi Pajeru
Keyword(s):  
Human Development ◽  
Human Development Index ◽  
Secondary Data ◽  
Strong Relationship ◽  
Analysis Techniques ◽  
Income Per Capita ◽  
Correlation And Regression Analysis ◽  
Per Capita ◽  
The Government ◽  
Poverty Levels

Human development in Papua is still a central issue and is a concern of the government at the national and regional levels. If human development is in its actual position, it will have an impact on the welfare of its people. Human development uses the HDI indicator (Human Development Index) while the welfare of the community uses indicators of income per capita and poverty. Some of the objectives to be achieved from this study include to analyze: (1.) the correlation of the forming components with HDI; (2.) what components form the largest HDI; and (3.) the effect of HDI on income per capita, and poverty. This study uses secondary data with the analysis period 2010 - 2018. Data analysis was performed using correlation and regression analysis techniques. The analysis shows that: (1) All components of HDI are positively and significantly related to HDI. The AHH component has a strong relationship, while the other components are very strong. The HLS and RLS components (education index) have the greatest magnitude of the correlation coefficient so they form the dominant HDI compared to AHH and Per capita Expenditures. (2) HDI has a positive and significant effect on per capita income in Papua Province. (3). HDI has a negative and significant effect on poverty levels in Papua Province.

scholarly journals Geographical distribution of incidence and mortality of breast cancer and their association with Human Development Index in Europe

2018 ◽  
Vol 5 (4) ◽  
pp. 2174-2186
Author(s):  
Mahdi Mohammadian ◽  
Khadijah Allah Bakeshei ◽  
Hamid Salehiniya ◽  
Fatemeh Allah Bakeshei ◽  
Abdollah Mohammadian-Hafshejani
Keyword(s):  
Breast Cancer ◽  
Life Expectancy ◽  
Human Development ◽  
Geographical Distribution ◽  
Negative Correlation ◽  
Human Development Index ◽  
National Income ◽  
Incidence And Mortality ◽  
Average Education ◽  
Per Capita

Background: Breast cancer (BC) is the most common cancer malignancy and the important reason for cancer-related mortality in females. The aim of this study was to evaluate the geographical distribution of occurrence and mortality of BC and their association with Human Development Index (HDI) in Europe in 2012. Methods: This was an ecologic study to evaluate the relation between Age-Standardized Incidence Rate (ASIR) and Age Standardized Mortality Rate (ASMR) of BC with HDI, using data of GLOBOCAN project and the HDI report. Using SPSS18 statistical analysis software the data of the study was analyzed; the significance level of the tests was considered as P 0.05. Results: The highest ASIR of BC was observed in Belgium, Denmark, the Netherlands and the highest ASMR was found in the FYR Macedonia, Serbia, Belgium, respectively. A positive correlation was found between the ASIR of BC and HDI (r= 0.611, p≤ 0.001), life expectancy in birth (r= 0.706, p≤0.001), average education years (r=0.038, p=0.815) and gross national income per capita (r= 0.719, p≤0.001). Moreover, there was negative correlation between the ASMR of BC and HDI (r= 0.464, p= 0.003), life expectancy at birth (r= 0.416, p=0.008), average education years (r= 0.277, p= 0.083) and gross national income per capita (r= 0.255, p= 0.112). Moreover, it is expected that the number of incidence and mortality from BC is increased within 2012-2035 in European countries. Conclusion: There is a positive correlation between the ASIR of BC and HDI. Moreover, there is a negative correlation between ASMR of BC with HDI. Therefore, the results of this study indicate the importance of using HDI as factors affecting the ASIR and ASMR of BC.

scholarly journals Government Spending, Gross Domestic Product, Human Development Index (Evidence from East Java Province)

2020 ◽  
Author(s):  
Farida Rahmawati ◽  
Meirna Nur Intan
Keyword(s):  
Local Government ◽  
Gross Domestic Product ◽  
Human Development ◽  
Government Spending ◽  
Human Development Index ◽  
Capita Income ◽  
Gdp Per Capita ◽  
Domestic Product ◽  
Development Index ◽  
Per Capita

Government spending is expected to improve the Human Development Index (HDI) in order to increase public welfare. Theoretically, if the number of government expenditure is increasing then the Human Development Index (HDI) will be higher as well. Based on earlier research, it was found few differences about the result of influence Government spending to Human Index. The purpose of the study was to analyze the influence of government spending and Gross Domestic Product to the Human Development Index of East Java Province (during 2014-2017). The research method using descriptive quantitative approach. Local government expenditures were analyzed by direct local government spending by looking at three aspects namely employees expenditure, spending on goods and services, and capital expenditures. Whereas, for the GDP per capita income is analyzed based on three aspects: production, income, and expenditure. Then the human development index to see the effects of these two variables based on three dimensions that exist in the human development index healthiness dimensions, dimensions of knowledge, and economic dimensions. The results showed that the local government spending income and the GDP per capita income has a significant effect on the human development index. Government spending has a significant influence on the educational dimension, while GDP per capita has a significant effect on the purchasing power of people thus affecting the economic dimension. Keywords: Government spending, Gross Domestic Product, Human Development Index

scholarly journals Government Spending Contributions on per Capita Income and its Effect toward the Human Development Index (Comparative Study between Western Indonesia and Central & East Indonesia)

2015 ◽  
Vol 6 (3) ◽  
pp. 43-49
Author(s):  
Eleonora Sofilda ◽  
Muhammad Zilal Hamzah .
Keyword(s):  
Human Development ◽  
Government Spending ◽  
Human Development Index ◽  
Capita Income ◽  
Income Growth ◽  
Per Capita Income ◽  
Development Index ◽  
Goods And Services ◽  
Per Capita ◽  
Capita Income Growth

In many countries, include Indonesia, a centralized government has a sizeable negative impact on inequality of development. During the New Regime Order era with a centralized system, Indonesia's development is concentrated in the western part of Indonesia which had led to inequality in terms of per capita income and human development. To solve these problems, one of the economic reforms undertaken by the Indonesia government is changes the system from a centralized to a decentralized system. Through the fiscal decentralization under Law No. 22/99 and 25/99, they hope to improve people's welfare and reduce inequality. This research is aim to assess the effect of government spending and investment on the growth of per capita income and see the effect of the growth of per capita income towards Human Development Index (HDI). The method used is multiple regression with panel data and the study from year 2007-2012 by dividing the two groups of regions ie: western Indonesia and central&eastern Indonesia. Based on the research results, for the western Indonesia, goods and services expenditure has a significant effect on the per capita income growth and per capita income growth significantly affect the human development index (HDI). For the central and eastern Indonesia, domestic and foreign direct investment (DDI and FDI), goods and services expenditure, and capital expenditures have a significant effect toward per capita income growth and per capita income growth effect significantly toward the HDI.

PEMODELAN DETERMINASI INDEKS PEMBANGUNAN MANUSIA DENGAN METODE MWD (MACKINNON, WHITE AND DAVIDSON) TEST

2021 ◽  
Vol 8 (2) ◽  
pp. 142
Author(s):  
Apriani Simatupang ◽  
Jakaria Jakaria
Keyword(s):  
Human Development ◽  
Unemployment Rate ◽  
Government Spending ◽  
Human Development Index ◽  
Test Method ◽  
Linear Regression Equation ◽  
Development Index ◽  
Income Per Capita ◽  
Per Capita

Abstrak Tujuan paper ini ingin menunjukkan pemodelan determinasi indeks pembangunan manusia dengan menggunakan MWD test. Pada penelitian ini menggunakan komponen tingkat pengangguran, pendapatan per kapita dan pengeluaran pemerintah. Dalam penelitian ini menggunakan metode MWD atau uji Mackinnon, White and Davidson (MWD) untuk menentukan pemodelan determinasi indeks pembangunan manusia. Hasil penelitian ini menunjukkan bahwa pendapata per kapita mempengaruhi indeks pembangunan manusia secara signifikan. Hal ini ditunjukkan hasil dari estimasi output persamaan regresi linier yang sudah dibersihkan dari masalah autokorelasi dan heteroskedastisitas bahwa probabilitas pendapatan perkapita < 0,05. Tingkat pengangguran dan pengeluaran pemerintah tidak memiliki pengaruh yang signifikan terhadap indeks pembangunan manusia. Pemodelan terbaik yang digunakan dari metode MWD (Mackinnin, White and Davidson) test adalah model linier. Kata Kunci: ipm, pendapatan per kapita, MWD test.  Abstract The purpose of this paper is to show the modeling of the determination of the human development index using the MWD test. This study uses the components of the unemployment rate, per capita income and government. In this study using the MWD method or the Mackinnon, White and Davidson (MWD) test to determine the modeling of the determination of the human development index. The results of this study indicate that income per capita affects the human development index significantly. This is indicated by the results of the estimated output of the linear regression equation that has been cleaned of autocorrelation and heteroscedasticity problems that the probability of income per capita is < 0.05. The unemployment rate and government spending do not have a significant effect on the human development index. The best modeling used from the MWD (Mackinnin, White and Davidson) test method is a linear model. Keywords: HDI, income per capita, MWD test.

scholarly journals Status of Human Development in Maharashtra: A District Level Analysis

2020 ◽  
Vol 8 (3) ◽  
pp. 88-96
Author(s):  
Nitin Mundhe ◽  
Dhondiram Pawar ◽  
Priyanka Rokade
Keyword(s):  
Human Development ◽  
Human Development Index ◽  
Literacy Education ◽  
Index Method ◽  
Development Index ◽  
Development Indicators ◽  
Choropleth Maps ◽  
Development Group ◽  
Very High ◽  
Level Analysis

The Human Development Index (HDI) is a relative measure of the country’s life expectancy, literacy, education, and living standards. It is a standard measure of wellbeing, especially of child welfare. The present study is an attempt to bring out the inter-district disparities in terms of human development in Maharashtra, applying the human development index method based on the optimal combination of selected human development indicators. Furthermore, to compare the levels of human development between the different districts through choropleth maps. The result shows that two districts are in the less developed category, i.e., Nandurbar and Gadchiroli, and rests of the 33 districts are included in the moderately high and very high human development group.

scholarly journals Leadership, social determinants of health and health equity: the case of Costa Rica

2020 ◽  
Vol 44 ◽  
pp. 1
Author(s):  
Epsy Campbell Barr ◽  
Michael Marmot
Keyword(s):  
Costa Rica ◽  
Life Expectancy ◽  
Social Determinants Of Health ◽  
Human Development ◽  
Social Determinants ◽  
National Income ◽  
Good Health ◽  
High Group ◽  
Development Group ◽  
Very High

Costa Rica has long been a country of special interest in the Americas and in global health because of its good health. The United Nations Development Programme ranks countries according to their level of human development based on life expectancy, education and national income. Although Costa Rica is ranked at 63 and classified as ‘High’, in terms of health it belongs in the ‘Very High’ group. In 2018 mean life expectancy for the ‘Very High’ countries was 79.5, while in Costa Rica it was 80. In 2018, under five mortality was 8.8/1000 live births, lower than countries ranked in the ‘Very High’ human development group. Expected years of schooling in Costa Rica is 15.4, closer to the average, 16.4 years, of the ‘Very High’ human development group than the average of the ‘High’ group. The country is much healthier than would be predicted by its national income; rather, other features of society’s development are likely to have played a key role in the development of good health. These include (i) the decision to cease investment in national defence, which freed up money to invest in health, education and the welfare of the population; (ii) the decision to create a universal health system financed by the State, employers and workers in the 1940s; and (iii) the educational system, that generated opportunities to lift important sectors of the population out of poverty, allowing them to have basic sanitary conditions that increase their possibilities to live longer and in better conditions. Despite these advances, inequalities in terms of income and social conditions persist, presenting challenges in the field of health, particularly for lower-income populations and those of African and indigenous descent. These inequalities must be addressed using decisions based on scientific evidence, a greater use of disaggregated data to reveal progress in addressing these inequalities, and with a broader articulation of the health sector with policies that act on the social determinants of health.

scholarly journals Individual and contextual factors associated to the self-perception of oral health in Brazilian adults

2018 ◽  
Vol 52 ◽  
pp. 29 ◽  
Author(s):  
Janmille Valdivino da Silva ◽  
Angelo Giuseppe Roncalli da Costa Oliveira
Keyword(s):  
Oral Health ◽  
Human Development ◽  
Social Determinants ◽  
Human Development Index ◽  
Capita Income ◽  
Health Perception ◽  
Biological Characteristics ◽  
Explanatory Model ◽  
Development Index ◽  
Per Capita

OBJECTIVE: To analyze how individual characteristics and the social context, together, are associated with self-perception of the oral health. METHODS: A multilevel cross-sectional study with data from the Brazilian National Health Survey 2013, the United Nations Development Program, and the National Registry of Health Establishments. The explanatory variables for the “oral health perception” outcome were grouped, according to the study framework, into biological characteristics (sex, color, age), proximal social determinants (literacy, household crowding, and socioeconomic stratification), and distal (years of schooling expectancy at age 18, GINI, Human Development Index, and per capita income). The described analysis was performed, along with bivariate Poisson analysis and multilevel Poisson analysis for the construction of the explanatory model of oral health perception. All analyzes considered the sample weights. RESULTS: Both the biological characteristics and the proximal and distal social determinants were associated with the perception of oral health in the bivariate analysis. A higher prevalence of bad oral health was associated to lower years of schooling expectancy (PR = 1.31), lower per capita income (PR = 1.45), higher income concentration (PR = 1.41), and worse human development (PR = 1.45). Inversely, oral health services in both primary and secondary care were negatively associated with oral health perception. All the biological and individual social characteristics, except reading and writing, made up the final explanatory model along with the distal social determinants of the Human Development Index and coverage of basic care in the multilevel analysis. CONCLUSIONS: Biological factors, individual and contextual social determinants were associate synergistically with the population’s perception of oral health. It is necessary to improve individual living conditions and the implementation of public social policies to improve the oral health of the population.

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