The comparison of MCDM Methods including AHP, TOPSIS and MAUT with an Application on Gender Inequality Index

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.


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.


2016 ◽  
Vol 22 (5) ◽  
pp. 745-766 ◽  
Author(s):  
Narendranathan Maniyalath ◽  
Roshni Narendran

Purpose – Past research has identified a negative association between national income and female entrepreneurship rates. Data from Global Entrepreneurship Monitor (GEM) 2012 are analyzed to determine whether the Human Development Index (HDI) predicts female entrepreneurship rates. The purpose of this paper is to indicate how other socioeconomic variables that measure human development interact with national income to predict female entrepreneurship rates. Design/methodology/approach – Data were drawn from the 2012 GEM data set, which provides information on female entrepreneurship rates in 61 countries. To test relevant hypotheses, dependent and socio-demographic variables were sourced from international databases to perform quantitative cross-country regression analyses. Findings – National income significantly predicted female entrepreneurship rates in the univariate analysis. However, this relationship became non-significant when development indices were added to the model. In contrast, the HDI, the Gender Inequality Index, and national religious composition were robust, significant predictors. Practical implications – This study presents evidence that human and gender development indices, and national religious composition, are better predictors of female entrepreneurship rates than national income. Thus, studies on female entrepreneurship rates should account and adjust for human development and gender equality indices. As religiosity continues to be pervasive within multiple nations, policymakers should consider this when developing interventions geared toward promoting female entrepreneurship. Originality/value – This paper identifies factors other than economic determinism to explain variance in female entrepreneurship rates and demonstrates that human development and gender inequality indices are better predictors of female entrepreneurship rates.


2003 ◽  
Vol 8 (2) ◽  
pp. 97-100 ◽  
Author(s):  
Maria José Sotelo ◽  
Luis Gimeno

The authors explore an alternative way of analyzing the relationship between human development and individualism. The method is based on the first principal component of Hofstede's individualism index in the Human Development Index rating domain. Results suggest that the general idea that greater wealth brings more individualism is only true for countries with high levels of development, while for middle or low levels of development the inverse is true.


2018 ◽  
Vol 13 (1) ◽  
Author(s):  
Adriwati Adriwati

Human development is a development paradigm that puts human (population) as the focus and final target of all development activities, namely the achievement of control over resources (income to achieve decent living), improvement of health status (long life and healthy life) and improve education. To see the success rate of human development, UNDP publishes an indicator of Human Development Index (HDI). This study discusses the achievements of human development that have been pursued by the government. The problem analyzed in this research is the difference of human development achievement in some provincial government in Indonesia. This paper aims to compare the achievements of human development in some provincial governments seen from the achievement of human development index of each province. Research location in Banten Province, West Java and DKI Jakarta.Keywords:Human Development Index, Human Development Achievement


2019 ◽  
Vol 118 (2) ◽  
pp. 81-85
Author(s):  
Rusdiyanta ◽  
M.Si¹ DanBambangPujiyono ◽  
MM ◽  
M.Si2

The condition of the border areas in Indonesia is largely isolated, lagging, poor, and backward so as to require an affirmafive and innovative development policy. This study discusses the asymmetrical policy of Jokowi-JK government in the development of border areas in Indonesia. Most of the border areas are Underdeveloped Regions, so a symmetrical or special policy is required so that the development of border areas is not left behind with other regions or other countries. The implementation of the policy was carried out with the development of infrastructure and basic social services for the community as well as financial distribution, implementation of specific policies and arranging the formation of New Autonomous Region (DOB) in welfare-oriented border areas. This asymmetric policy encourages accelerated development in border areas so as to improve the human development index.


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