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Cluster analysis of European Union states using social and economical indicators
Černý, Andrej ; Löster, Tomáš (advisor) ; Bílková, Diana (referee)
Dissertation follows up cluster analysis of European Union states using social and economical indicators. In the first part all the social and economical indicators are defined. In the second part of the dissertation all these indicators in time of economical and financial and later debt crisis in years from 2007 to 2012 in European Union states are analysed. In the third part the cluster analysis is applicated for the social and economical indicators of the European Union states. Five clusters were identified using cluster analysis. Structure of these clusters was changing during years 2007 and 2012. First cluster contained developed Western European countries (Belgium, Denmark, Germany, Ireland, France, Netherlands, Austria, Finland, Sweden and United Kingdom). The second cluster was created from countries, that entered to European Union after year 2004 (Bulgaria, Estonia, Croatia, Latvia, Lithuania, Hungary, Poland, Romania and Slovakia). The third cluster contained Czech Republic, Estonia, Greece, Lithuania, Portugal, Slovakia and Slovenia. In the fourth cluster were Southern European countries Greece, Spain, Italy, Cyprus and Malta and the fifth cluster contained only Luxembourg.
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Evolution and mutual relations between demographic indicators
Černý, Andrej ; Löster, Tomáš (advisor) ; Langhamrová, Jitka (referee)
This Bachelor's thesis focuses on the analysis and evolution of demographic indicators through world's regions and states. It searches for a relation between demographic indicators and finds connections between economical, political and demographics evolution. The first part of the thesis defines the demographic indicators and shows the evolution from the period 1960-2008. Especially the evolution of the Czech Republic and those states where changes were the greatest in the mentioned period is shown there. The second part of the thesis focuses on the analysis of the economical and medical factors that influence demographic indicators. The purpose is to quantify this influence and measure its intensity. For this purpose regression analysis and analysis of variance is used. The biggest reduction in mortality rate was in Yemen in the mentioned period, on the other hand the biggest increase was noted in Ukraine. The smallest values of the infant mortality rate are detected in Scandinavia which positively influences the life expectancy at birth in these states. Infant mortality rate dropped most in the states of Southern Europe and Egypt while in Zimbabwe and Democratic Republic of the Congo the improvement was the smallest. The evolution of these indicators dramatically influenced life expectancy at birth in these particular states. The main factors that influence life expectancy at birth include GDP per capita in PPP, the number of physicians, health expenditure, alcohol consumption and immunization.
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