scholarly journals The Relationship of Economic Growth And Terrorism with the Human Development Index: A Causality Analysis on MENA Countries

2020 ◽  
Vol 11 ◽  
pp. 226-234
Author(s):  
Günay Özcan ◽  
Cigdem Karter

Examining the human development of societies is one of the important economic policy practices of recent times. Therefore, economies steer the sub-components of human development and their policies implemented by researching the factors that affect such sub-components. In this context, the aim of this study is to examine the relationship between economic growth and terrorism with human development in 12 selected MENA countries in the period of 2002-2017 by the panel causality method. The findings obtained as a result of the panel causality analysis show that both terrorism and economic growth have bidirectional causality with the human development index throughout the panel. A causality relationship has also been found in many countries on a country basis

Author(s):  
Serdar Ozturk ◽  
Seher Suluk

The Human Development Index (HDI), which measures a country’s human development level, considering the health, education and income indicators of countries has been published in the Human Development Report each year since 1990 by the United Nations Development Programme. Norway, which is a highly developed country, was at the top of the Human Development Index. Therefore, the aim of this study is to evaluate Norway’s human development performance. In this context, the relationship between human development and economic growth has been examined at empirical level for Norway for the period between 1990-2017. In the study, firstly, ADF and PP unit root tests were performed. Then, Granger causality analysis was applied. According to the results of Granger causality analysis there is a one-way causality relationship from human development to economic growth.


Author(s):  
Frances Stewart ◽  
Gustav Ranis ◽  
Emma Samman

This chapter explores the interactions between economic growth and human development, as measured by the Human Development Index, theoretically and empirically. Drawing on many studies it explores the links in two chains, from economic growth to human development, and from human development to growth. Econometric analysis establishes strong links between economic growth and human development, and intervening variables influencing the strength of the chains. Because of the complementary relationship, putting emphasis on economic growth alone is not a long-term viable strategy, as growth is likely to be impeded by failure on human development. The chapter classifies country performance in four ways: virtuous cycles where both growth and human development are successful; vicious cycles where both are weak; and lopsided ones where the economy is strong but human development is weak, or conversely ones where human development is strong but the economy is weak.


2018 ◽  
Vol 3 (2) ◽  
pp. 71
Author(s):  
Muslikhati Muslikhati

Human development is one of the indicators of the success of economic growth. The good quality of human resources goes hand in hand with economic growth, this is because resources as part of the factor of production are the most valuable assets in the economic activities of a country. This study aims to determine and analyze the causality of economic growth towards the quality of human resources. The method used in this study was using the Granger Causality method. Granger Causality Approach is used to measure the strength of the relationship between two or more variables, or it can also be used as a tool to see the direction of the relationship between independent variables and the dependent variable. The variable Human Development Index (HDI) as the dependent variable and per capita income variable as the independent variable. From this study it was concluded that the granger causality test on the proposed research model states that there is no causality relationship between two independent variables and the dependent variable, but significantly the Indonesian economic growth variable has a one-way relationship with the human development index (HDI).Human development is one of the indicators of the success of economic growth. The good quality of human resources goes hand in hand with economic growth, this is because resources as part of the factor of production are the most valuable assets in the economic activities of a country. This study aims to determine and analyze the causality of economic growth towards the quality of human resources. The method used in this study was using the Granger Causality method. Granger Causality Approach is used to measure the strength of the relationship between two or more variables, or it can also be used as a tool to see the direction of the relationship between independent variables and the dependent variable. The variable Human Development Index (HDI) as the dependent variable and per capita income variable as the independent variable. From this study it was concluded that the granger causality test on the proposed research model states that there is no causality relationship between two independent variables and the dependent variable, but significantly the Indonesian economic growth variable has a one-way relationship with the human development index (HDI).


Author(s):  
Emine Fırat ◽  
Emre Ürün ◽  
Aytaç Aydın

The unfair distribution of income in underdeveloped countries causes the capital to be gathered in the hands of a certain party and thus preventing it from spreading to the society and although national income in these countries is high, the level of development being low creates problems. Education directly relates to issues related to the concept of development such as developing individuals’ social points of view, obtaining the individual’s skills and abilities, shaping the socio-cultural structure, environment, healthy life and guaranteeing rights and freedom. The fact that frontiers disappeared together with the globalizing world and sharing the incomes in international markets have brought about some problems. The emergence of human-centered approach in development in 1970 and after has been an important opportunity for all societies. Human development has led the way to investigate concepts such as poverty, income equality, health and education and to take action to remove the deficiencies in the aforementioned area. Education is inevitable for development. In this context, Turkey’s education level will be evaluated in terms of the relationship of human development and education for development. In this study the indicators of Human Development Index (HDI) prepared by UDP annually and Education Index (EI), the sub-index of HDI, for Turkey have been taken into consideration and it has been aimed to determine Turkey’s level of development in education. It was determined in the study that Turkey’s level of human development is not satisfactory and that indicators for education were low.


2020 ◽  
Vol 6 (1) ◽  
pp. 31-46
Author(s):  
Rukiah Lubis

The purpose of study is to analyze the relationship of  Economic Growth, Fiscal Policies, and Demographic to  Islamic Human Development Index in Indonesia.  The analysis method used Granger Causality test in 33 representative provinces.   Taked sampling with Criteria Purporsive Sampling method. The results showed that there was relationship between Economic growth to Demographic and Islamic Human Development Index. There was  relationship between Demographic to IHDI and  fiscal policy in health and education. There was relationship of Fiscal Policy in health to Fiscal Policy in education. Recommendation of study was 1. Increasing economic growth with equity to support the maximalization  IHDI in each region. 2.  Optimizing Fiscal policies performance to improving public services in education and health so can be impact on the high IHDI distributed in Indonesia.


2018 ◽  
Vol 2 (1) ◽  
pp. 11 ◽  
Author(s):  
Windya Wahyu Lestari ◽  
Victoria Efrida Sanar

The purpose of this study is to determine how big the influence of the indicators of factors that affect the Human Development Index. In addition, to determine the relationship of indicators of factors that affect the Human Development Index, to determine the development of human development of variables. That way can provide a standard against a State in improving the quality of human resources. Using the SPSS application method, this paper found that the variables that significantly influence the indicators of factors affecting the Human Development Index are life expectancy index, education index and income index. The estimation result using Correlasion Pearson shows that 14.788% is the variation of each observation is the same.   Keywords : Human Development Index, Life Expectancy Index, Education Index, Revenue Index.


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.


2020 ◽  
Vol 8 (2) ◽  
pp. 68
Author(s):  
Bilgehan Tekin

The purpose of this study to examine the relationship between financial development and human development in the health and welfare dimensions of developing countries. This study aims to determine whether the financial developments of the countries have an effect on the basic human development of the individuals and whether human development indicators have an impact on financial development. In this study, the relationship between financial development and human development has been tried to be revealed by using data obtained from developing countries. Financial development levels of the countries were measured with the developed financial development index. The index is calculated by using M3 / GDP, private sector loans / GDP and loans to banks from private sector / GDP ratios. The human development index is calculated by considering various health indicators and GNP per capita. The data includes annual data for the period 1970-2016. Pedroni and Kao cointegration analysis and Dumitrescu & Hurlin panel causality analysis were performed in the study. According to the results of the study, the cointegration relationship was determined between the two variables. There is also a two-way causality between the variables.


2016 ◽  
Vol 26 (2) ◽  
pp. 211 ◽  
Author(s):  
Lylla Winzer

Because countries with the highest Human Development Index (HDI) have low rates of violence, it is common to assume that the increase of HDI may correspond with lower rates of violence in a country. This study examined the relationship between the Municipal Human Development Index (MHDI) and violent deaths in the Brazilian States between 1991 and 2010. We tested whether the increase of MHDI indirectly reduces violence or whether the reduction of violence predicts higher MHDI in later years. The raw data were obtained from three sources online, Atlasbrasil, IPEAdata and Map of violence. The analyses do not support the assumption that the increase of MHDI leads to a reduced level of violence. However, there are indications that the decrease of homicides over the years results in improved MHDI rates in 2010. The results suggest that taking measures aimed at development does not automatically imply a lower level of violence, but fi ghting against violence may increase MHDI.


2003 ◽  
Vol 31 (1) ◽  
pp. 55-59 ◽  
Author(s):  
Maria José Sotelo ◽  
Luis Gimeno

The authors explore an alternative way of analyzing the relationship between development, migration and psychology. The method is based on the first principal component of national net immigrants'data in the Human Development Index rating domain. Results show that the main sources of emigrants are countries with moderate development and the main sink countries are ranked from Human Development Index Rating 10 to 30. This could be in part due to a psychological reason: “If one is poor among poor, incentives to migrate might be lower than if one is poor among (relatively) rich”.


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