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 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

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 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.

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 Analysis of the Relationship between Human Development Index and Regional Development of West Sulawesi Province

2021 ◽  
Vol 2 (4) ◽  
pp. 31-38
Author(s):  
Muhammad Haekal Ansyar ◽  
Rusnadi Padjung ◽  
Muslim Salam
Keyword(s):  
Life Expectancy ◽  
Regional Development ◽  
Human Development ◽  
Human Development Index ◽  
Power Index ◽  
Regional Inequality ◽  
Purchasing Power ◽  
Development Index ◽  
The Relationship ◽  
Years Of Schooling

This study aims to analyze the relationship between the human development index and the regional development of West Sulawesi Province. This study uses panel data analysis that combines time series-cross section data and uses the Two Stage Least Square (2SLS) method. The type of data in this study is secondary data taken from the Central Statistics Agency (BPS) of West Sulawesi. The variables of the human development index are life expectancy, average length of schooling, expected length of schooling and purchasing power index. While the variables of regional development are poverty, unemployment, regional inequality and GRDP. The results of the analysis using the 2SLS method. In the HDI equation, the PW variable partially has a negative but not significant effect on the HDI for =5%. However, if for =20% PW has a negative and significant effect on HDI. While in the PW equation, the HDI variable partially has a negative but not significant effect on PW for = 5%. The R2 in the HDI equation is 97.5% and the remaining 2.5% which shows that the influence of PW, Life Expectancy, Average Years of Schooling, Expected Years of Schooling, and Purchasing Power Index together have an effect on HDI. While in the PW equation, the determination of R2 is 99.2% and the remaining 0.8% which shows HDI, Poverty Level, Unemployment Rate, Regional Inequality and Gross Regional Domestic Product together affect PW. So, there is a simultaneous relationship between the Human Development Index and Regional Development

scholarly journals Global Discrepancies between Numbers of Available SARS-CoV-2 Genomes and Human Development Indexes at Country Scales

Viruses ◽  
2021 ◽  
Vol 13 (5) ◽  
pp. 775
Author(s):  
Philippe Colson ◽  
Didier Raoult
Keyword(s):  
Life Expectancy ◽  
Human Development ◽  
Human Development Index ◽  
Gdp Per Capita ◽  
Asian Countries ◽  
Genome Sequences ◽  
Microsoft Excel ◽  
Development Index ◽  
The World ◽  
Per Capita

It has now been over a year since SARS-CoV-2 first emerged in China, in December 2019, and it has spread rapidly around the world. Some variants are currently considered of great concern. We aimed to analyze the numbers of SARS-CoV-2 genome sequences obtained in different countries worldwide until January 2021. On 28 January 2021, we downloaded the deposited genome sequence origin from the GISAID database, and from the “Our world in data” website we downloaded numbers of SARS-CoV-2-diagnosed cases, numbers of SARS-CoV-2-associated deaths, population size, life expectancy, gross domestic product (GDP) per capita, and human development index per country. Files were merged and data were analyzed using Microsoft Excel software. A total of 450,968 SARS-CoV-2 genomes originating from 135 countries on the 5 continents were available. When considering the 19 countries for which the number of genomes per 100 deaths was >100, six were in Europe, while eight were in Asia, three were in Oceania and two were in Africa. Six (30%) of these countries are beyond rank 75, regarding the human development index and four (20%) are beyond rank 80 regarding GDP per capita. Moreover, the comparisons of the number of genomes sequenced per 100 deaths to the human development index by country show that some Western European countries have released similar or lower numbers of genomes than many African or Asian countries with a lower human development index. Previous data highlight great discrepancies between the numbers of available SARS-CoV-2 genomes per 100 cases and deaths and the ranking of countries regarding wealth and development.

scholarly journals The incidence and mortality of lip and oral cavity cancer and its relationship to the 2012 Human Development Index of Asia

2017 ◽  
Vol 4 (02) ◽  
pp. 1147 ◽  
Author(s):  
Amir Tiyuri ◽  
Abdollah Mohammadian-Hafshejani ◽  
Elham Iziy ◽  
Hamidreza Sadeghi Gandomani ◽  
Hamid Salehiniya
Keyword(s):  
Mortality Rate ◽  
Life Expectancy ◽  
Oral Cavity ◽  
Human Development ◽  
Human Development Index ◽  
Oral Cavity Cancer ◽  
Development Index ◽  
Life Expectancy At Birth ◽  
Incidence And Mortality ◽  
Years Of Schooling

Introduction: Lip and oral cavity cancer is one of the most prevalent cancers in Asia and considered to be a major public health problem due to the low survival rate. Because of the importance of access to information about this cancer (including incidence, mortality rate and relation to socioeconomic indicators), this study aims at investigating the incidence and mortality of lip and oral cavity cancer and its relationship with the Human Development Index (HDI) of Asia (from 2012). Method: This study was an ecological study in Asia for assessment of the correlation between age-specific incidence rate (ASIR) and age-specific mortality rate (ASMR) with the HDI and its components which include: life expectancy at birth, mean years of schooling and gross national income (GNI) per capita. Data on the standardized incidence ratio (SIR) and the standardized mortality ratio (SMR) for every Asian country for the year 2012 were obtained from the global cancer project and data on the HDI and its components were extracted from the World bank site.  We used a bivariate method for assessment of the correlation between the SIR and SMR with the HDI and its individual components. Statistical significance was assumed if P<0.05. All reported P-values were two-sided. Statistical analyses were performed using SPSS (Version 15.0, SPSS Inc.). Results: A total incidence of 162,506 cases and 95,005 deaths were recorded in Asian countries in 2012. Countries with the highest SIR (per 100,000) were the following: Maldives (11), Sri Lanka (10.3), Pakistan (9.8), Bangladesh (9.4), and India (7.2). The highest SMR was observed in the following countries: Pakistan (5.9), Bangladesh (5.6), Afghanistan (5.1), India (4.9), and Maldives (4.1). The correlation between SIR of lip and oral cavity cancer and HDI was -0.378 (p=0.010), with life expectancy at birth at -0.324 (p=0.028), mean years of schooling at -0.283 (p=0.057), and level of income per each person of the population at -0.279 (p=0.060). Moreover, the correlation was -0.664 (p≤0.001) between SMR and HDI. Conclusion: A significant reverse correlation was seen between the incidence and mortality rate of lip and oral cavity cancer and the HDI in Asia. The incidence and mortality of this type of cancer was high in developing or less developed countries.   

scholarly journals Pemanfaatan Bonus Demografi melalui Peningkatan Indeks Pembangunan Manusia di Sumatera Utara

2015 ◽  
Vol 7 (1) ◽  
pp. 1
Author(s):  
Sugiharto Sugiharto ◽  
Deny Setiawan
Keyword(s):  
Human Development ◽  
Purchasing Power Parity ◽  
Human Development Index ◽  
Health Sector ◽  
Age Group ◽  
Power Parity ◽  
Development Index ◽  
Capita Expenditure ◽  
Per Capita ◽  
Years Of Schooling

This writing aims to gain the picture of profile in using of demographic bonus through increasing Human Development Index in the North Sumatra Province. It focus on local policy in utilizing the demographic bonus through elevating Human Development Index on several sectors such as education, health, and economy. Education sector coverage two indicators following Adult Literacy Rate Index (Lit) and Mean Years of Schooling Index (MYS). The population in this research is the citizen’s age group of 15 and more due to in fact that there many student dropout from the age group. The limitation is required for gain the representative number which is represents the fact, considering that citizen age group lower than 15 is still in schooling or preparing to school so it not apropriate to relying the years of schooling. Health sector indicate the numbers of years of life which  is hopefully can be enjoyed by the citizens in an area by entering information regarding annual birth rate and death rate (variable e₀), that assumed represents average of age of life and citizen healthy in their life. Economic sector (Proper Life Standard), the profile uses the average of the real per capita expenditure which is adjusted (adjusted real per capita expenditure) or purchasing power parity. Based on study of the three of human development index, can be obtained the data concerning the factual picture of local government profile in utilizing demographic bonus.

scholarly journals A thermoeconomic indicator for the sustainable development with social considerations

2021 ◽  
Author(s):  
Umberto Lucia ◽  
Debora Fino ◽  
Giulia Grisolia
Keyword(s):  
Sustainable Development ◽  
Human Development ◽  
Human Development Index ◽  
Action Plan ◽  
Thermodynamic Quantity ◽  
Well Being ◽  
Agenda 21 ◽  
Development Index ◽  
Development Indicators ◽  
Economic Considerations

AbstractThe United Nations action plan Agenda 21 has represented a milestone toward Sustainable Development. On its 40th Chapter, it is introduced the requirement to dispose of an accurate and continuous collection of information, essential for decision-making. Besides bridging the data gap and improving the information availability, it is highlighted the need to dispose of sustainable development indicators, in order to assess and monitor the performances of countries toward sustainability. In this paper, we develop an improvement of a new indicator, recently introduced linking environmental anthropic footprint and social and industrial targets. Here, we suggest a link with the Income Index, in order to consider also a condition of people well-being. Our results consists in an improvement of the present approaches to sustainability; indeed, we link the socio-economic considerations, quantified by the Income Index and the Human Development Index, to the engineering approach to optimization, introducing the thermodynamic quantity entropy generation, related to irreversibility. In this way, two different new indicators are introduced, the Thermodynamic Income Index and the Thermodynamic Human Development Index, which quantitatively express a new viewpoint, which goes beyond the dichotomy between socio-economic considerations on one hand and engineering and scientific approach to sustainability on the other one. So, the result leads to a unified tool useful for the designing of new policies and interventions for a sustainable development for the next generations.

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