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 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 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.

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.

PEMBERDAYAAN MASYARAKAT DESA DANASARI KECAMATAN PEMALANG KABUPATEN PEMALANG

2017 ◽  
Vol 36 (1) ◽  
pp. 26
Author(s):  
Purnama Rozak ◽  
Hafiedh Hasan ◽  
Sugarno Sugarno ◽  
Srifariyati Srifariyati ◽  
Afsya Septa Nugraha
Keyword(s):  
Community Development ◽  
Human Resources ◽  
Human Development ◽  
Human Development Index ◽  
Scale Parameter ◽  
Collective Responsibility ◽  
Community Empowerment ◽  
Per Capita ◽  
Primary Focus ◽  
The Village

<p>The success of the development of a nation is determined by the Human Development Index (HDI). International scale parameter indicates the level of development of human resources emphasizes on three areas: education, health, and income per capita. The various dimensions of community development was a collective responsibility to make it happen. One way to do is through the proselytizing activities of community empowerment. This is as done in the village of Pemalang district, Danasari that has HDI levels is low compared than other villages. Community development in this village was done by taking three primary focus , they are the field of economics, health, and education and religion.</p><p align="center"><strong>***</strong></p>Keberhasilan pembangunan suatu bangsa ditentukan oleh Human Develop-ment Indeks (HDI). Parameter berskala internsional ini menunjukkan tingkat pengembangan sumber daya manusia yang menitiberatkan pada tiga bidang yaitu pendidikan, kesehatan, dan pendapatan perkapita. Pengembangan masyarakat yang berbagai dimensi tadi merupakan tanggung jawab bersama untuk mewujudkannya. Salah satu cara yang dapat dilakukan adalah melalui kegiatan dakwah pemberdayaan masyarakat. Hal ini sebagaimana dilakukan di Desa Danasari Kabupaten Pemalang yang memiliki tingkat HDI yang rendah dibandingkan desa lainnya. Pemberdayaan masyarakat di desa ini dilakukan dengan mengambil tiga fokus utama yaitu bidang ekonomi, bidang kesehatan, dan pendidikan dan keagamaan. Potensi yang ada perlu diberdayakan secara bersama dengan tujuan pencapaian perbaikan kehidupan masyarakat desa Danasari.

Applicability of Human Development Index for Measuring Economic Well-being: A Study on GDP and HDI Indicators from Indian Context

2021 ◽  
pp. 001946622199862
Author(s):  
G G Sajith ◽  
K. Malathi
Keyword(s):  
Human Development ◽  
Human Development Index ◽  
Well Being ◽  
Development Project ◽  
Human Being ◽  
Composite Matrix ◽  
Human Welfare ◽  
Development Index ◽  
Development Indicator ◽  
Per Capita

The tracking of gross domestic product (GDP) as a measure of well-being of the society or human-being has been debated by many researchers and economists (Elizabeth, 2007; Abhinav, 2014; Deb, 2015 ) There are many deficiencies in tracking GDP as the economic development indicator, as it does not capture the inequality or true development of Human-being. Noted economist Mehbub ul Haq’s human development project defined a composite matrix which captures the life expectancy, education and per capita indicators in one matrix. This was developed to track as a development indicator of human welfare. In the previous studies, the GDP or GDP per capita was regressed with the Human Development Index (HDI) composite index and indicated a direct correlation between the two variables. However, this article examines the contribution of the income component in the HDI index by recalculating the composite matrix. This article also qualitatively examines the ability of HDI index to measure the human development parameters. JEL Classification Codes: E01, I12, O1

scholarly journals Mahalanobis' distance and propensity score to construct a controlled matched group in a Brazilian study of health promotion and social determinants

2014 ◽  
Vol 17 (3) ◽  
pp. 668-679 ◽  
Author(s):  
Valéria Troncoso Baltar ◽  
Clóvis Arlindo de Sousa ◽  
Marcia Faria Westphal
Keyword(s):  
Health Promotion ◽  
Propensity Score ◽  
Human Development ◽  
Mahalanobis Distance ◽  
Human Development Index ◽  
Intervention Studies ◽  
Local Development ◽  
Control Group ◽  
Development Index ◽  
Social Agendas

In observational epidemiology it is usual to select a control group to study the effects of certain exposures on human health. Intervention studies are well known among epidemiologists but it is not very frequent in other areas of research. In this paper we propose the same idea of intervention studies and the use of three methods for a health promotion research control group selection: Propensity score, Mahalanobis' distance and Mahalanobis within Propensity Calipers. In the original project, "Health and Local Development: a progress review towards the millennium goals with relation to health in the Brazilian cities which develop social agendas", cities with social agendas from Brazil were matched separately by state. In the state of Paraná there are 397 cities. Of these, 34 presented social agendas implemented and active since, at least, 2004. Five variables measured in 2000 were considered for the matching: population size, human development index of income, human development index of education, percentage of literacy and vaccine coverage. As a result, among these three methods, the Mahalanobis by itself was considered the less efficient. In conclusion, the propensity, which is a very simple linear score, presented very good matched sample. However, the Mahalanobis within Calipers was the method that provided the best result.

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