scholarly journals Global improvements in Years of Good Life since 1950

Author(s):  
Erich Striessnig ◽  
Claudia Reiter ◽  
Anna Dimitrova

Human well-being at the national aggregate level is typically measured by GDP per capita, life expectancy or a composite index such as the HDI. A more recent alternative is the Years of Good Life (YoGL) indicator presented by Lutz et al. (2018; 2021). YoGL represents a refinement of life expectancy in which only those person-years in a life table are counted that are spent free from material (1), physical (2) or cognitive limitations (3), while being subjectively perceived as satisfying (4). In this article, we present the reconstruction of YoGL to 1950 for 140 countries. Since life expectancy – as reported by the UN World Population Prospects in fiveyearly steps – forms the basis of our reconstruction, the presented dataset is also available on a five-yearly basis. In addition, like life expectancy, YoGL can be flexibly calculated for different sub-populations. Hence, we present separate YoGL estimates for women and men. Due to a lack of data, only the material dimension can be reconstructed based directly on empirical inputs since 1950. The remaining dimensions are modelled based on information from the more recent past.

2019 ◽  
Vol 13 (3-4) ◽  
pp. 87-92
Author(s):  
Szlobodan Vukoszavlyev

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


2020 ◽  
Vol 8 (3) ◽  
pp. 44
Author(s):  
Alexander Baranovsky ◽  
Nataliia Tkachenko ◽  
Vladimer Glonti ◽  
Valentyna Levchenko ◽  
Kateryna Bogatyrova ◽  
...  

Traditionally, public procurement has been associated with the measurement of achieving savings. However, recent research shows that the economic impact of public procurement is not limited only to savings, but by measuring the impact of four capitals—natural, human, social, and economic—on sustainable well-being over time. Ukraine is a country with a very low gross domestic product (GDP) per capita, which exacerbates the problem of the impact of public procurement results on the population’s welfare. Ukrainian public procurement legislation allows customers to apply non-price criteria (the share of non-price criteria cannot be more than 70%), which, together, are taken into account in the formula of the quoted price. The studies show that the effect of the use of non-price criteria depends on the relevance of the method of the evaluation of non-price criteria. The most important non-price criteria for Ukrainian customers by product categories and the methods of their evaluation are analyzed according to the Bi.prozorro.org analytics module. Therefore, it is concluded that the quoted price method, which is used in Ukrainian practice, is not relevant in comparison with the method used in the EU. A survey of the government buyers on the practice of applying non-price criteria was conducted, and the areas of their use were identified.


Author(s):  
Tinghui Li ◽  
Junhao Zhong ◽  
Mark Xu

The 2008 international financial crisis triggered a heated discussion of the relationship between public health and the economic environment. We test the relationship between the credit cycle and happiness using the fixed effects model and explore the transmission channels between them by adding the moderating effect. The results show the following empirical regularities. First, the credit cycle has a negative correlation with happiness. This means that credit growth will reduce the overall happiness score in a country/region. Second, the transmission channels between the credit cycle and happiness are different during credit expansion and recession. Life expectancy and generosity can moderate the relationship between the credit cycle and happiness only during credit expansion. GDP per capita can moderate this relationship only during credit recession. Social support, freedom, and positive affect can moderate this relationship throughout the credit cycle. Third, the total impact of the credit cycle on happiness will become positive by the changes in the moderating effects. In general, we can improve subjective well-being if one of the following five conditions holds: (1) with the adequate support from the family and society, (2) with enough freedom, (3) with social generosity, (4) with a positive and optimistic outlook, and (5) with a high level of GDP per capita.


Author(s):  
Marcos Felipe Falcão Sobral ◽  
Brigitte Renata Bezerra de Oliveira ◽  
Ana Iza Gomes da Penha Sobral ◽  
Marcelo Luiz Monteiro Marinho ◽  
Gisleia Benini Duarte ◽  
...  

The present study aimed to identify the factors associated with the distribution of the first doses of the COVID-19 vaccine. In this study, we used 9 variables: human development index (HDI), gross domestic product (GDP per capita), Gini index, population density, extreme poverty, life expectancy, COVID cases, COVID deaths, and reproduction rate. The time period was until February 1, 2021. The variable of interest was the sum of the days after the vaccine arrived in the countries. Pearson’s correlation coefficients were calculated, and t-test was performed between the groups that received and did not receive the immunizer, and finally, a stepwise linear regression model was used. 58 (30.4%) of the 191 countries received the SARS-CoV-2 vaccine. The countries that received the most doses were the United States, China, the United Kingdom, and Israel. Vaccine access in days showed a positive Pearson correlation HDI, GDP, life expectancy, COVID-19 cases, deaths, and reproduction rate. Human development level, COVID-19 deaths, GDP per capita, and population density are able to explain almost 50% of the speed of access to immunizers. Countries with higher HDI and per capita income obtained priority access.


2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Frank Götmark ◽  
Malte Andersson

Abstract Background The world population is expected to increase greatly this century, aggravating current problems related to climate, health, food security, biodiversity, energy and other vital resources. Population growth depends strongly on total fertility rate (TFR), but the relative importance of factors that influence fertility needs more study. Methods We analyze recent levels of fertility in relation to five factors: education (mean school years for females), economy (Gross Domestic Product, GDP, per capita), religiosity, contraceptive prevalence rate (CPR), and strength of family planning programs. We compare six global regions: E Europe, W Europe and related countries, Latin America and the Caribbean, the Arab States, Sub-Saharan Africa, and Asia. In total, 141 countries are included in the analysis. We estimate the strength of relationships between TFR and the five factors by correlation or regression and present the results graphically. Results In decreasing order of strength, fertility (TFR) correlates negatively with education, CPR, and GDP per capita, and positively with religiosity. Europe deviates from other regions in several ways, e.g. TFR increases with education and decreases with religiosity in W Europe. TFR decreases with increasing strength of family planning programs in three regions, but only weakly so in a fourth, Sub-Saharan Africa (the two European regions lacked such programs). Most factors correlated with TFR are also correlated with each other. In particular, education correlates positively with GDP per capita but negatively with religiosity, which is also negatively related to contraception and GDP per capita. Conclusions These results help identify factors of likely importance for TFR in global regions and countries. More work is needed to establish causality and relative importance of the factors. Our novel quantitative analysis of TFR suggests that religiosity may counteract the ongoing decline of fertility in some regions and countries.


2010 ◽  
Vol 19 (3) ◽  
pp. 363-371 ◽  
Author(s):  
DANIEL SPERLING

As of June 2009, Israel’s population was 7,424,400 people, 5,604,900 of which were Jewish, 1,502,400 were Arabs, and approximately 317,200 had no religion or are non-Arab Christians. Established in 1948, Israel is a highly urban and industrialized country. Its gross domestic product (GDP) per capita (based on exchange rate) is US$23,257, positioning it among the European developed countries. Life expectancy is 79 years for males and 82 years for females, with infant mortality rate of 4 cases per 1,000 live births. Of Israel’s GDP, 7.7% is spent on health.


Author(s):  
M. Mazharul Islam ◽  
Md. Hasinur Rahaman Khan

Measuring human quality and well-being by the human development index (HDI) is very challenging as it is a composite index of many socio-economic variables. However, a simple index called literate life expectancy (LLE) by combining life expectancy and literacy only can be used as an alternative measure, which is less data intensive than HDI. LLE is the average life expectancy that a person lives under literate state. Length of life in literate state has many positive implications on social, economic and political aspects of life. In this paper an attempt has been made to construct LLE for Omani population with its gender differentials. The data for the study were extracted from the 2015 Statistical Year Book and the 2010 Population and Census report of Oman published by the National Centre for Statistics & Information. Despite socioeconomic progress, levels of education among women in Oman are not the same as men. The analysis shows the remarkable differences in the LLE between men and women for almost all age groups. The Omani female population is much lag behind in literate life expectancy than the Omani male population. The results underscore the need to take necessary steps for reducing gender gap in LLE in Oman.  


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