scholarly journals Penerapan Regresi Nonparametrik Spline dalam Memodelkan Faktor-faktor yang Mempengaruhi Indeks Pembangunan Manusia di Provinsi Sulawesi Selatan Tahun 2015

Author(s):  
A. Asmira ◽  
Muhammad Nadjib Bustan ◽  
Muhammad Kasim Aidid

Abstrak. Human development index (HDI) is a measure used in monitoring and evaluating human development. Indicators used to measure HDI consists of three basic components of quality of life that is the life chances, knowledge and decent living standards. Several factors are thought to affect the HDI in the district/city in South Sulawesi province that labor force participation rates, the ratio of school pupils, overcrowding, health facilities, and the Gross Domestic Product (GDP). When HDI and these factors are plotted then shows the pattern of data that is not to follow a certain pattern, so that the data can be applied to the nonparametric regression model spline truncated. Selection of the best model seen from the point of knots and the minimum value of GCV. Based on research, the value of the minimum GCV is at three knots point is equal to 5.33 Rated amounting to 80.29%.Keywords: Human development Index, GCV, Nonparametric Regression Spline, Knot Points

2021 ◽  
Vol 21 (1) ◽  
pp. 239
Author(s):  
Nur Isnaeni Novitasari ◽  
Suharno Suharno ◽  
Arintoko Arintoko

The Investments in human capital are the same with improving the quality of human development. The success of national development can be seen from the health aspect in the form of measurement indicator of the Human Development Index. This research analyzes the effect of health complaints, unemployment, poverty and government expenditure on the Human Development Index in East Java Province 2015-2018. This research method uses multiple linear regression with a panel data approach. The results showed that health complaints, unemployment and poverty have a negative and significant effect on the Human Development Index in East Java Province. Meanwhile, government expenditure has a positive and significant effect on the Human Development Index in East Java Province. These findings imply 1) the necessity to improve health infrastructure and government expenditure especially in the health sector, 2) the necessity to increase employment opportunities for reducing poverty and unemployment.


2000 ◽  
Vol 172 ◽  
pp. 62-77 ◽  
Author(s):  
Sara Horrell

Two composite measures are calculated to map improvements in living standards over the 20th century: the Dasgupta–Weale index and the Human Development Index. A gendered version of the latter is also considered. Indicators of income, leisure, inequality, wealth, health, education and political rights are included. The indices reveal a century of progress. But progress has been neither continuous nor uniformly shared. Downturns are evident in some of the indicators since 1980, demonstrating that the gains are not immutable and need to be protected. Women‘s position has improved if the end of the century is compared to its beginning, but there has been little change in women's position relative to men's over the last few decades on the dimensions considered here.


Author(s):  
Partha Dasgupta

In this paper, I formalize the idea of sustainable development in terms of intergenerational well-being. I then sketch an argument that has recently been put forward formally to demonstrate that intergenerational well-being increases over time if and only if a comprehensive measure of wealth per capita increases. The measure of wealth includes not only manufactured capital, knowledge and human capital (education and health), but also natural capital (e.g. ecosystems). I show that a country's comprehensive wealth per capita can decline even while gross domestic product (GDP) per capita increases and the UN Human Development Index records an improvement. I then use some rough and ready data from the world's poorest countries and regions to show that during the period 1970–2000 wealth per capita declined in South Asia and sub-Saharan Africa, even though the Human Development Index (HDI) showed an improvement everywhere and GDP per capita increased in all places (except in sub-Saharan Africa, where there was a slight decline). I conclude that, as none of the development indicators currently in use is able to reveal whether development has been, or is expected to be, sustainable, national statistical offices and international organizations should now routinely estimate the (comprehensive) wealth of nations.


Author(s):  
Novi Afryanthi S. ◽  
Muhammad Arif Tiro ◽  
Ansari Saleh Ahmar

Abstract. Discriminant analysis is a method in multivariat statistic analysis that related with object which have separated into the defined group defined and see the accuracy  of the formed group. In this research, clustera analysis is used for the first grouping,  cluster  analysis is a statistical analysis which aims to classify some objects based on the characteristics similarity among the object. Data for this study is HDI (Human Development Index)  of indicator in south sulawesi in 2016. The result of this research are 1st cluster (lower  HDI indicator) which have 21 city/ distric and the 2nd cluster (higher  HDI indicator) which have 3 city/distric as the closeness value between the cluster that formed is 0.902 which shows the closeness between the cluster is high . Furthermore, the discriminant function that have formed explains that if the life expectancy increase, the HDI indicator in city/distric in south sulawesi province will decrease but if school  expectation duration in school , average of duration in school, and parity of pur hasing power is increasing, the HDI indicator in city/distric in aouth sulawesi will also increase.Keywords: Cluster analysis, Discriminant analysis , Human development index indicator.


POPULATION ◽  
2020 ◽  
Vol 23 (1) ◽  
pp. 4-12
Author(s):  
Elena V. Ryumina

The article offeres an approach to including ecological factor in the Human Development Index (HDI). HDI is aimed at reflecting the quality of life of population, which is defined along with other important characteristics and state of environment. However, there is still no ecological living conditions of population in the formalized representation of HDI. Two directions of constructing ecologically adjusted HDI are developed: introducing ecological index to HDR, and using ecologically adjusted GDP/GRP in income index. Ecological index reflecting the state of environment in the places of residence and recreation of population is constructed on the basis of indicators of the number of air/water samples exceeding the ambient standards, as a percentage of the total number of examined samples. This indicator is presented in the annex to the statistical handbook «Environment Protection in Russia» for all regions. It is offered to modify the index of income in HDI by subtraction of the economic damage caused by pollution from income, as this part of income does not go to growth of the population welfare, but only compensates for the damage. For implementation of this approach there is no official statistics, and in the study was used the database accumulated by the author over many years of ecological-economic research. As a result, there was calculated ecologically adjusted HDI for all 85 regions in comparison with the traditional HDI. In 14 regions with the best ecological situation the HDI value grew, in the others it decreased. Some of the regions formerly leading by the HDI value lost their positions. Comparing the impact on HDI of ecological index on the one hand, and of modifications of income index on the other, showed an incomparably greater role of the introduction of ecological index.


Author(s):  
Ambya Ambya

Human development index (HDI) is one of the benchmarks used to see the quality of human life as measured by looking at the level of human life quality of education, health and economy. This study aims to determine the effect of government spending from the education, health and capital expenditure sectors as well as income on the human development index. The data used is a secondary data in 7 districts in Lampung Province period of 2013-2018 which was obtained from the Directorate General of Fiscal Balance (DGFB Ministry of Finance) and the Central Statistics Agency (CSA) in Lampung province. The results of the analysis show that the government spending in the education sector and capital expenditure have a positive and significant effect on the human development index while the health sector spending as well as income have a negative and significant effect on the human development index.


2021 ◽  
Vol 5 (2) ◽  
pp. 179-186
Author(s):  
Aprilliantoni Aprilliantoni

AbstractIn the current era of globalization, competition between countries is getting stronger and is determined by the quality of their human resources. One of the benchmarks is the Human Development and Literacy Index. The better the HDI number, the better the quality of the country's human resources, thus also literacy rate. However, the country of Indonesia, which is so vast and consists of thousands of islands, leaves a serious problem, namely the high inequality of HDI figures and the low numbers literacy of the people.This paper offers a discussion and a solution for increasing the development of Human Resources and Literacy with equilibrium theory in microeconomics, to overcome inequality which is currently a serious problem. This is of course in accordance with the constitutional mandate of "Social Justice for All Indonesian People" as a reference paper based on authoritative literature with social, economic and educational analysis.Key word : Human Development Index, Literacy, Equlibrium Theory


Author(s):  
А.Б. СУХОВЕЕВА

Ухудшение качественных характеристик населения (показателей здоровья, уровня культуры и образования) необходимо относить к наиболее значимым негативным факторам социального развития России и ее регионов. В статье дана оценка современного уровня развития человеческого потенциала в России и субъектах Дальнего Востока России на основе данных индекса человеческого развития (Human Development Index – HDI). Проведено сопоставление HDI России HDI с некоторых стан Европы и Азиатско-Тихоокеанского региона, имеющих самые высокие значения (баллы) индекса за период 1990–2018 гг. В межстрановом сравнении выявлены наиболее проблемные компоненты человеческого потенциала для России. В межрегиональном сравнении за 2000–2016 гг. проведена группировка регионов по HDI, направленная на выявление и сравнительную оценку перспективности субъектов Дальнего Востока России по формированию, развитию и возможному сохранению человеческого потенциала. С помощью корреляционного анализа выявлена зависимость между значением инвестиций в основной капитал на душу населения и индексом HDI, а также составляющими его индексами долголетия, доходов. Результаты группировки субъектов Дальнего Востока России по HDI и по качеству жизни населения за 2010–2016 гг. в определенной степени совпадают. Показано, что сдерживающими факторами социально-экономического развития регионов, а следовательно, низких значений HDI и индексов качества жизни населения являются недостаточное развитие социальной сферы, низкие уровень и качество жизни населения, ухудшающие качество человеческого потенциала и препятствующие его повышению. Необходимо проводить более эффективную политику в социальной сфере с акцентом на увеличение бюджетных и привлечение частных инвестиций в экономику регионов. The deterioration of the qualitative characteristics of the population (health indicators, insufficient level of culture and education) should be attributed to the most significant negative factors in the social development of Russia and its regions. The article assesses the current level of human development in Russia and the Far Eastern regions on the basis of human development index (HDI) data. The HDI of Russia is compared with that of some countries of Europe and the Asia-Pacific region, which have the best values (points) of the human development index for the period of 1990–2018. In a cross-country comparison, the most problematic components of human potential for Russia were identified. In the interregional comparison for 2000–2016, a grouping of regions by HDI was carried out, aimed at identifying promising and less promising subjects of the Far East for the formation, development and possible preservation of human potential. Using the correlation analysis, the relationship between the value of investment in fixed assets per capita and the HDI index, as well as its indices of longevity and income, is revealed. The results of the grouping of FER subjects by HDI are confirmed by the types of regions according to the quality of life of the population for 2010–2016. It is shown that the low level of development of the social sphere, the level and quality of life of the population, which reduce the quality of human potential and prevent its increase, are the constraining factors of the socio-economic development of the regions and, therefore, low HDI and QOL values. It is necessary to pursue a more effective social policy, with a focus on increasing budgetary and attracting private investment in the regional economy.


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