scholarly journals Human Development in the European Union and its Determinants

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.

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.


Author(s):  
A. Stavytskyy ◽  
V. Sachko

The article considers the impact of human development on changes and transformations in economics and on the general development of the state for the countries of the European Union and Ukraine in the period from 1990 to 2018, as well as ways of its modeling using statistical and econometric methods. The analysis of the factors influencing the development of human capital made it possible to draw a conclusion about the direct dependence of changes in the economic and social spheres and the level of quality of life of the population. Innovative universities, namely University 4.0, also in turn play a significant role in shaping the new modern knowledge economy and the development of the state as a whole, influencing society through cognitive technologies. To determine the results, time series models and multiple and panel regression models were developed based on the data of the Human Development Index and other socio-economic indicators that determine the financial stability of the state and the level of its security and welfare. The obtained models were tested for adequacy, significance of coefficients, stability and possibility of their use in practice in order to determine the most optimal of them. After conducting the necessary tests and calculating the error of RMSPE, the best of all constructed and analyzed models was the Holt-Winters model. It is universal and can be used to further forecast the economic, social and demographic indicators of other regions of the world with possible adjustments of the main parameters and coefficients to obtain the most accurate results and use this model in practice. The study concluded with an analysis of the main areas of reform and recovery of the Ukrainian economy and the spheres of education and health care to achieve social progress in the country and increase its level of development.


2021 ◽  
Vol 5 (2) ◽  
pp. 913-918
Author(s):  
Nurhasanah Nurhasanah ◽  
Nany Salwa ◽  
Lyra Ornila ◽  
Amiruddin Hasan ◽  
Martahadi Mardhani

The Human Development Index (HDI) is a measurement that analyzes a region's development in improving human development. The government's development plan aims to create a successful and peaceful life. The unbalanced development in every regency and city in Indonesia is a typical issue during the development process. It may also be shown that the HDI level changes across regencies and cities in Indonesia. This research aims to identify Indonesian regencies and cities based on HDI indices. K-Means clustering algorithm is the clustering method adopted. The results of the analysis formed 4 clusters. The first cluster consisted of 20 regencies with a low average HDI indicator. The second cluster consisted of 148 regencies and cities with an average HDI indicator is medium. The third cluster consisted of 88 regencies and cities with an average HDI indicator. The fourth cluster consists of 258 regencies and cities with high HDI indicators.


2021 ◽  
Vol 274 ◽  
pp. 10027
Author(s):  
Alexey Shinkevich ◽  
Regina Yakunina ◽  
Tatyana Klimenko

The article presents and describes the methodology for assessing human capital level using the human development index. The assessment was carried out on the example of the regions of the Russian Federation within the framework of the sustainable development concept. The priority goals of sustainable development related to human capital have been identified. The methodology for calculating the human development index is described, taking into account the characteristics of a particular country and its regions. All components of the final human development index are considered in detail. Its indicators are analyzed on the example of the Russian Federation regions. The final stage was the compilation of a rating of the Russian Federation regions according to the human development index, strong and weak regions were identified. The advantages and disadvantages of this index approach are described and how this approach is adapted to the conditions of a particular country.


Author(s):  
Emawati . ◽  
Bambang Juanda ◽  
Alla Asmara

Invesment attractiveness in Sumatera Selatan Province is interesting to be observed because it will make economic growth increased. As we know that distribution of investment in Indonesia was not same in many regions. Java and Bali island are known as majority location of investment. This study will determine what is the most significantly determinants that influence of investment in Sumatera Selatan Province, and how spatial effect influence the investment in this region. As proxy of investment of the region, this study take gross fixed capital formation. This study used of panel regression model and Geographically Weighted Regression (GWR) model for analysis. The results of this study, the Human Development Index, GDRP per capita, and quantity of labour have significantly influence of investment in Sumatera Selatan Province. The elasticity of Human Development Index (HDI) influence for investment as positively at 3.699 percent. The Elasticity of Gross Domestic Regional Product (GDRP) per capita influence for investment as positively at 0.933 percent. And the elasticity quantity of labour influence for investment as positively at 0.844 percent. Spatially, every region has a model of investment that weighted of location. The results of GWR model showed that determinants of investment influenced of investment in every district of Sumatera Selatan Province with different significantly.


2016 ◽  
Vol 23 (2) ◽  
pp. 441-464 ◽  
Author(s):  
Graeme Baber

Purpose The purpose of this paper is to investigate the developmental status of the Member States of the European Union (EU) in the wake of the global financial crisis. Design/methodology/approach The paper considers the three elements in pairs, i.e. development and the EU, development and the financial crisis, and the EU and the financial crisis, and synthesises these by answering the questions propounded in the introduction. A sustainable development index is constructed for all 28 Member States of the EU. In the next section, the association between the financial crisis and sustainable development is considered for four non-European developing countries, using correlation analysis. Following this, the construction of the EU’s regulatory framework in the wake of the financial crisis is summarised. Findings Member States who did not have the status of advanced economies on joining the EU have closed the development gap on their neighbours. Of the four non-European countries, the financial crisis is not a major factor in the sustainable development of three of them. Post-crisis legislative reforms within the EU are comprehensive. Nonetheless, a long-term perspective must be taken to effectively address the issues that underlie development, within the EU and beyond. Research limitations/implications The sustainable development index incorporates most, but not all, of the World Bank’s sustainable development goals. Countries omit to supply data to the World Bank, so figures need to be estimated. Regression analysis is avoided, because of the variable measurement problems therein. Therefore, no claims are made as to causation. All arithmetic workings are shown. Originality/value The paper integrates three concepts, which is a new research.


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