CLASSIFICATION OF THE EUROPEAN UNION COUNTRIES WITH AN APPLICATION OF THE MODIFIED HUMAN DEVELOPMENT INDEX

Author(s):  
Aldona Migala-Warchol
2016 ◽  
Vol 4 (2) ◽  
pp. 183 ◽  
Author(s):  
Latife Sinem Sarul ◽  
Özge Eren

Gender Inequality Index is a major indicator presenting level of development of the countries as Human Development Index, which is calculated regularly every year by UN. In this study, an alternative calculation has been proposed for measuring gender inequality index which is an important barrier for the human development. Each indicator in the index integrated as MAUT- AHP and also AHP-TOPSIS and these methods carried out again for the alternative ranking member and candidate countries of the European Union. The main objective here is to represent that the indicators form gender inequality index can be reclassified with different weights for each indicator.


2016 ◽  
Vol 2 (2) ◽  
pp. 183 ◽  
Author(s):  
Latife Sinem Sarul ◽  
Özge Eren

Gender Inequality Index is a major indicator presenting level of development of the countries as Human Development Index, which is calculated regularly every year by UN. In this study, an alternative calculation has been proposed for measuring gender inequality index which is an important barrier for the human development. Each indicator in the index integrated as MAUT- AHP and also AHP-TOPSIS and these methods carried out again for the alternative ranking member and candidate countries of the European Union. The main objective here is to represent that the indicators form gender inequality index can be reclassified with different weights for each indicator.


2020 ◽  
pp. 1-11
Author(s):  
Maria-Daniela TUDORACHE

Human development is one of the most important forms of development, which could enhance the sustainable development process. Through this paper, the evolution of human development index in the European Union was analysed in the period 2010-2017, and the effects exercised by its determinants were estimated. In this context, panel data was used for the period specified above and the Estimated Generalized Least Squares were applied, weighted with the Period SUR option. The results show an inverse relantionship between two variables (early leavers from education and training rate, and employment in agriculture) and the human development index. In addition, human development increases not only when the corruption dimension falls down, but also when life expectancy and gross fixed capital formation increase.


2021 ◽  
Vol 13 (11) ◽  
pp. 6003
Author(s):  
Manuel Carlos Nogueira ◽  
Mara Madaleno

Every year, news about the publication of rankings and scores of important international indexes are highlighted, with some of the most prestigious being the Global Competitiveness Index (GCI), the Human Development Index (HDI), the Ease of Doing Business (EDB), the Environmental Performance Index (EPI) and the Global Entrepreneurship (GEI). A country’s progression in these indices is associated with economic growth, especially since several empirical studies have found evidence to reinforce these beliefs, the indices having been built based on the scientific literature on economic growth. Building a database on these indices for European Union countries between 2007 and 2017 and using panel data methodologies and then 2SLS (Two-Stage Least Squares) to solve the problem of endogeneity, we verify empirically through panel data estimates, what is the relationship between the mentioned indices and the European Union countries’ economic growth for the period. However, as the European Union is made up of diverse countries with different economic and social realities, we divided the countries into six clusters and made an individual interpretation for each one. We found that human development and competitiveness play an important role in economic growth, and entrepreneurship also impacts this growth. Regarding income distribution, applying the Gini index, we found that only human development mitigates inequalities.


2015 ◽  
Vol 60 (8) ◽  
pp. 81-100
Author(s):  
Witold Rakowski

Based on the Human Development Report 2013 the author presents classification of the countries taking into account HDI value in 2012, non-income HDI and the IHDI (Inequality – Adjusted Human Development Index). IHDI reflects disparities in the income distribution. 187 states of the report are divided into 12 groups by the HDI total value.


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