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 Nature's role in sustaining economic development

2010 ◽  
Vol 365 (1537) ◽  
pp. 5-11 ◽  
Author(s):  
Partha Dasgupta
Keyword(s):  
Human Development ◽  
Human Development Index ◽  
Natural Capital ◽  
Well Being ◽  
Sub Saharan Africa ◽  
Development Index ◽  
Development Indicators ◽  
Comprehensive Wealth ◽  
Per Capita ◽  
Sub Saharan

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.

scholarly journals The connenction between global innovation index and economic well-being indexes

2019 ◽  
Vol 13 (3-4) ◽  
pp. 87-92
Author(s):  
Szlobodan Vukoszavlyev
Keyword(s):  
Standard Deviation ◽  
Life Expectancy ◽  
South Asia ◽  
Human Development ◽  
Human Development Index ◽  
Well Being ◽  
Gdp Per Capita ◽  
Development Index ◽  
Global Innovation ◽  
Per Capita

We study the connection of innovation in 126 countries by different well-being indicators and whether there are differences among geographical regions with respect to innovation index score. We approach and define innovation based on Global Innovation Index (GII). The following well-being indicators were emphasized in the research: GDP per capita measured at purchasing power parity, unemployment rate, life expectancy, crude mortality rate, human development index (HDI). Innovation index score was downloaded from the joint publication of 2018 of Cornell University, INSEAD and WIPO, HDI from the website of the UN while we obtained other well-being indicators from the database of the World Bank. Non-parametric hypothesis testing, post-hoc tests and linear regression were used in the study.We concluded that there are differences among regions/continents based on GII. It is scarcely surprising that North America is the best performer followed by Europe (with significant differences among countries). Central and South Asia scored the next places with high standard deviation. The following regions with significant backwardness include North Africa, West Asia, Latin America, the Caribbean Area, Central and South Asia, and sub-Saharan Africa. Regions lagging behind have lower standard deviation, that is, they are more homogeneous therefore there are no significant differences among countries in the particular region.In the regression modelling of the Global Innovation Index, it was concluded that GDP per capita, life expectancy and human development index are significant explanatory indicators. In the multivariable regression analysis, HDI remained the only explanatory variable in the final model. It is due to the fact that there was significant multicollinearity among the explanatory variables and the HDI aggregates several non-economic indicators like GII. JEL Classification: B41, I31, O31, Q55

scholarly journals Investimento na função desporto e lazer por níveis de índice de desenvolvimento humano

2017 ◽  
Vol 15 (2) ◽  
pp. 49-55
Author(s):  
Edmilson Santos dos Santos ◽  
Edson Hirata
Keyword(s):  
Human Development ◽  
Human Development Index ◽  
Leisure Activities ◽  
Well Being ◽  
Development Index ◽  
Per Capita ◽  
Constant Improvement

O desenvolvimento humano pleno implica na melhoria constante do bem-estar da população. Dentre as ações que impactam nele estão as atividades esportivas e o lazer. Nesse sentido, o presente estudo teve os seguintes objetivos: (a) verificar se os investimentos acumulados a partir de 2002 impactaram na melhoria do Índice de Desenvolvimento Humano (IDH) de 2010; (b) verificar se o IDH de 2010 fez melhorar os investimentos na Função Desporto e Lazer per capita em 2011/2012, quando comparado com o resultado de 2002. A análise das médias e medianas permitiu concluir que: os investimentos acumulados não ajudam a explicar a melhora do IDH de 2010; o aumento no investimento per capita em 2011/2012 na Função Desporto e Lazer não pode ser justificado pela melhoria do IDH apresentado pelos municípios do Piauí. Nesse sentido, o IDH não é uma variável capaz de explicar os investimentos realizados nas políticas públicas de esporte e de lazer. ABSTRACT. Investment in the sport and leisure funtion by levels of the Human Development Index. A full human development implicates the constant improvement of population’s well-being. Among actions that affect this, are sports and leisure activities. In this manner, the present study established the following objectives: (a) verifying if cumulative investments since 2002 had an impact on the enhancing of Human Development Index (HDI) identified in the 2010 PNUD’s report; (b) verifying if the 2010 HDI has improved per capita investments in the Sport and Leisure Function (SLF) from 2011/2012, when compared to SLF from 2002. The analysis of averages and medians allowed us to conclude cumulative investments have not helped explaining the improvement in HDI from 2010; the raising in per capita investments in 2011/2012 in the SLF cannot be justified by the improvement presented by municipalities in Piauí regarding 2010 HDI. Thus, HDI is not a variable capable of explaining investments in public sports and leisure policies.

scholarly journals Multiple Dimensions of Human Development Index and Public Social Spending for Sustainable Development

2019 ◽  
Vol 19 (204) ◽  
Author(s):  
Iana Paliova ◽  
Robert McNown ◽  
Grant Nülle
Keyword(s):  
Sustainable Development ◽  
Life Expectancy ◽  
Human Development ◽  
Human Development Index ◽  
Well Being ◽  
Social Spending ◽  
Development Index ◽  
Educational Spending ◽  
Per Capita ◽  
Years Of Schooling

Multidimensional assessment of human development is increasingly recognized as playing an important role in assessing well-being. The focus of analysis is on the indicators measuring the three dimensions of Human Development Index (HDI) — standard of living, education and health, and their relationship with public social spending for achieving the 2030 Agenda for Sustainable Development. The study estimates the effects of public social spending on gross national income (GNI) per capita (in PPP in $), expected years of schooling and life expectancy for a sample of 68 countries. The relationship is robust to controlling for a variety of factors and the estimated magnitudes suggest a positive long-run effect of public educational spending on GNI per capita, public educational spending on expected years of schooling, and public health expenditures on life expectancy.

scholarly journals ECONOMIC DEVELOPMENT IN AFRICA AND EUROPE: RECIPROCAL COMPARISONS

2015 ◽  
Vol 34 (1) ◽  
pp. 11-37
Author(s):  
Stephen Broadberry ◽  
Leigh Gardner
Keyword(s):  
Twentieth Century ◽  
Economic Development ◽  
Human Development ◽  
Human Development Index ◽  
Development Potential ◽  
Development Index ◽  
National Accounting ◽  
Recent Advances ◽  
Alternative Measures ◽  
Per Capita

ABSTRACTRecent advances in historical national accounting have allowed for global comparisons of GDPper capitaacross space and time. Critics have argued that GDPper capitafails to capture adequately the multi-dimensional nature of welfare, and have developed alternative measures such as the human development index. Whilst recognising that these wider indicators provide an appropriate way of assessing levels of welfare, we argue that GDPper capitaremains a more appropriate measure for assessing development potential, focussing on production possibilities and the sustainability of consumption. Twentieth-century Africa and pre-industrial Europe are used to show how such data can guide reciprocal comparisons to provide insights into the process of development on both continents.

scholarly journals Determinan Ketimpangan Indeks Pembangunan Manusia di Provinsi Jambi

2020 ◽  
Vol 5 (2) ◽  
pp. 227
Author(s):  
Arniwita Arniwita ◽  
Deka Veronica ◽  
Ahmad Soleh
Keyword(s):  
Data Analysis ◽  
Human Development ◽  
Human Development Index ◽  
Hypothesis Test ◽  
Well Being ◽  
Poor People ◽  
Analysis Tool ◽  
Economic Variables ◽  
Development Index ◽  
Dependent Variables

The Human Development Index (HDI) is an index to measure human achievement and is one of the indicators used in looking at people's well-being in a region. The higher the HDI value in a region, the better the level of welfare in the region. So often HDI is considered to have been able to represent the welfare level of the population, because in the HDI includes elements that include economic and noneconomic variables. Non-economic variables are measured from the level of public education and the degree of public health. While economic variables are measured from income levels indicating people's purchasing power, the three are related to each other. However, if you look at the conditions in Jambi Province, there is an interesting phenomenon where the development of the government does not or lack a real impact on the improvement of the Human Development Index (HDI), so it is necessary to do this research. The purpose of this study is to analyze the inequality, influence and relationship of the variables of the human development index which includes Gross Regional Domestic Product (GRDP) per capita, the number of medical personnel, the number of basic health facilities, the number of poor people as well as the number of teachers in public elementary schools as dependent variables with the human development index (HDI) as dependent variables. The data analysis method used in this study is a qualitative and qualitative descriptive method of explanatory properties, using sekuder data in the period 2008-2017. The data analysis tool used in this study uses the usual Weighted Coefficient of Variation (CVw) method for the first problem, the subsequent regression of the data panel for the second problem and the person correlation for the third problem. The hypothesis test in this study shows that there is inequality in IPM-forming variables in Jambi Province, further influence and significant relationship between ipm-forming variable inequality and HDI in Jambi Province.

scholarly journals ANALISIS PENGARUH ANGKA HARAPAN LAMA SEKOLAH, RATA-RATA LAMA SEKOLAH, DAN PENGELUARAN PER KAPITA TERHADAP INDEKS PEMBANGUNAN MANUSIA DI PROVINSI JAWA TENGAH

2021 ◽  
Vol 3 (2) ◽  
pp. 126-140
Author(s):  
A. Jauhar Mahya
Keyword(s):  
Human Development ◽  
Human Development Index ◽  
Local Governments ◽  
Average Length ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Development Index ◽  
Capita Expenditure ◽  
Central Java ◽  
Per Capita

The Human Development Index (HDI) is one of the data and information used by local governments to measure the achievement of human development. HDI is formed by three basic dimensions, namely a long and healthy life, knowledge, and a decent standard of living. This study explain whether there is an influence and to obtain the magnitude of the influence of the expected number of years of schooling, the average length of schooling, and the per capita expenditure together on the Human Development Index in Central Java Province. This study was completed using multiple linear regression analysis with the help of SPSS 1.6 (Statistical Package for Social Sciences) software. The results of this study indicate that the expected length of schooling, average length of schooling, and per capita expenditure have a significant effect on the human development index, which is 97.8% and only 2.2% is influenced by other factors.

The Concept

2019 ◽  
pp. 24-73
Author(s):  
K. Seeta Prabhu ◽  
Sandhya S. Iyer
Keyword(s):  
Human Development ◽  
Human Development Index ◽  
Unique Feature ◽  
Well Being ◽  
Analytical Framework ◽  
Capabilities Approach ◽  
Human Flourishing ◽  
Development Index ◽  
Factors Influencing

This chapter explains in detail the notions of ‘functionings’ and ‘capabilities’. It discusses the multi-layered phenomena of capabilities in the form of as threshold, internal, external, and complex capabilities. It analyses how they provide valuable understanding about the conversion factors that are involved in the translation of resources to capabilities and capabilities into functionings. It critically evaluates the capabilities approach and emphasises the importance of the role of endowments and entitlements as factors influencing and contributing to human flourishing and well-being. The unique feature of the chapter is the presentation of an integrated analytical framework that traces the pathways to human development through equity, sustainability, empowerment, and productivity processes. In addition, the chapter discusses the Human Development Index (HDI) and the challenges relating to its computation.

scholarly journals Country-Level Relationships of the Human Intake of N and P, Animal and Vegetable Food, and Alcoholic Beverages with Cancer and Life Expectancy

2020 ◽  
Vol 17 (19) ◽  
pp. 7240
Author(s):  
Josep Penuelas ◽  
Tamás Krisztin ◽  
Michael Obersteiner ◽  
Florian Huber ◽  
Hannes Winner ◽  
...  
Keyword(s):  
Life Expectancy ◽  
United Nations ◽  
Human Development ◽  
Human Development Index ◽  
Alcoholic Beverages ◽  
Cancer Prevalence ◽  
Development Index ◽  
Underdeveloped Countries ◽  
Country Level ◽  
Per Capita

Background: The quantity, quality, and type (e.g., animal and vegetable) of human food have been correlated with human health, although with some contradictory or neutral results. We aimed to shed light on this association by using the integrated data at country level. Methods: We correlated elemental (nitrogen (N) and phosphorus (P)) compositions and stoichiometries (N:P ratios), molecular (proteins) and energetic traits (kilocalories) of food of animal (terrestrial or aquatic) and vegetable origin, and alcoholic beverages with cancer prevalence and mortality and life expectancy (LE) at birth at the country level. We used the official databases of United Nations (UN), Food and Agriculture Organization of the United Nations (FAO), Organization for Economic Co-operation and Development (OECD), World Bank, World Health Organization (WHO), U.S. Department of Agriculture, U.S. Department of Health, and Eurobarometer, while also considering other possibly involved variables such as income, mean age, or human development index of each country. Results: The per capita intakes of N, P, protein, and total intake from terrestrial animals, and especially alcohol were significantly and positively associated with prevalence and mortality from total, colon, lung, breast, and prostate cancers. In contrast, high per capita intakes of vegetable N, P, N:P, protein, and total plant intake exhibited negative relationships with cancer prevalence and mortality. However, a high LE at birth, especially in underdeveloped countries was more strongly correlated with a higher intake of food, independent of its animal or vegetable origin, than with other variables, such as higher income or the human development index. Conclusions: Our analyses, thus, yielded four generally consistent conclusions. First, the excessive intake of terrestrial animal food, especially the levels of protein, N, and P, is associated with higher prevalence of cancer, whereas equivalent intake from vegetables is associated with lower prevalence. Second, no consistent relationship was found for food N:P ratio and cancer prevalence. Third, the consumption of alcoholic beverages correlates with prevalence and mortality by malignant neoplasms. Fourth, in underdeveloped countries, reducing famine has a greater positive impact on health and LE than a healthier diet.

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