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How Smart will be Europe 2020? A Panel Data Analysis.
Marková, Veronika ; Cahlík, Tomáš (advisor) ; Moravcová, Michala (referee)
This thesis analyses the targets for education under Europe 2020 strategy - early leavers from education and tertiary education attainment. The main objective is to predict the future development for these indicators up to 2020 and answer the question whether these targets will be fulfilled. From the empirical perspective, it applies econometric analysis of panel data based on human capital theory, that relates the education level of an individual with the parental education and the labour market conditions.
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Zdieľaná ekonomika a cestovný ruch
Žabková, Tatiana
Žabková, T. Sharing economy and the tourism industry. Bachelor thesis. Brno: Mendel University in Brno, 2017. Sharing economy is a relatively new, dynamically developing sector. Over the ten years of its operation, it has obtained the favour of millions of people around the world. The Airbnb Internet portal, which offers the sharing of living spaces and denotes its rapid expansion, is one of the main representatives of the sharing economy. The aim of the work is therefore to find out if Airbnb has an impact on the hotel industry, specifically in the Slovak Republic. The first part which relates to theoretical backgrounds familiarizes the reader about the sharing economy and Airbnb. In the second, analytical part is carried out a descriptive analysis of Airbnb and the hotel industry in Slovakia. Subsequently, individual hypotheses related to the influence of Airbnb on the Slovak hotel industry are analyzed by panel data analysis. In the discussion, the obtained results are further commented on and the potential future development of Airbnb in the state is sketched at the end.
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Vliv měnové politiky na vybrané akciové trhy
Šikula, Jiří
The diploma thesis deals with the identification of influence of the monetary policy on stock markets in the developed countries where central banks accepted usage of the unconventional tools of monetary policy. The effect of monetary policy is observed on stock prices of 200 blue chip stocks of companies emitted in USA, UK, EU and JAP. The influence of the unconventional monetary policy will be examined in empirical part of the diploma thesis via panel regression analysis with focus on verification of portfolio rebalance channel of the transmission mechanism.
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Přímé zahraniční investice v zemích Visegrádské skupiny
Paulík, Libor
This diploma thesis discusses the analysis of factors influencing foreign direct investment in Visegrad countries. The first part of the thesis defines the basic concepts, their brief characteristics and their distribution in the area of foreign direct investment. Another part of the thesis deals with the qualitative analysis of the investment environment in the Visegrad Group countries followed by a qualitative analysis of selected factors influencing foreign direct investment in Visegrad countries. The last part of this diploma thesis is a quantification of selected factors by multidimensional regression analysis and a regression analysis of panel data. The results obtained show that the main factors influencing foreign direct investment in the Czech Republic are the labor costs, the level of taxation and quality of the institutional environment. In Slovakia and Poland, the main factors are economic growth, the level of taxation and the quality of the institutional environment. In Hungary, the main determinants are economic growth, labor cost, the level of taxation and the quality of institutions. Within all Visegrad countries, the main factors are economic growth, labor cost, the level of taxation and the quality of the institutional environment.
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Vliv (neformálních) institucí na hospodářský růst
Ptáčková, Miroslava
The aim of this diploma thesis is to demonstrate influence of informal institutions on economic growth. Informal institutions are described by amount of tax evasion and amount of corruption because these factors reflect culture, moral values of society and settings of formal institutional environment. Relation is empirically verified by correlation analysis and panel data analysis. This analysis is executed on a sample of 23 countries of OECD and it is linked with a period from 1999 until 2010. Basic model of panel data analysis is built on the neoclassical growth theory. Then institutional variables are included and sorted into this model. Results of empirical analysis are discussed in conclusion.
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Príjmová nerovnosť a jej vplyv na ekonomický rast krajín EU
Muchová, Natália
This diploma thesis focuses on income inequality and its impact on economic development in the EU member states. The literature overview deals with description of income inequality and identifies its causes, consequences, methods of measurement and possible solutions. The relationship between income inequality and economic growth is examined through panel data analysis and cluster analysis.
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Ekonomický rast a rola finančného systému
Nosáľová, Karolína
The diploma thesis examines what is the role of financial development in the context of economic growth. The most influencing factors of the financial development are selected based on panel data regression. Determinants of the financial development represent both the banking sector and the financial markets. Panel of 42 European countries over the 1996-2015 period is analysed. The effect is controlled on the other three groups of countries. The results indicate an~ambiguous impact of the financial development on economic growth. Based on the analysis results recommendations are formulated for policy makers and investors.
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Faktory ovlivňující příjmovou nerovnost
Koukalová, Pavla
This diploma thesis deals with the identification of factors that affect income inequality in the world. The literary overview describes the issue of income inequality, possible methods of measurement, projected factors of influence and the possibility of addressing income inequality. Statistical methods, in particular cluster, regression and panel analysis, are used to quantify and define the significance of the selected factors. The economic and technological level of the country, the education and the state of health of the population are key economic and demographic indicators. Each of these indicators, according to the results of the regression analysis, has a weak negative effect on income inequality, reducing it. The results of the panel analysis demonstrate that an indicator of the level of technology, education and the state of health of the population can be included among the major factors affecting income inequality in the world. The indicator of the economic level measured using per capita gross domestic product has proved insignificant, which means that while GDP has an impact on Gini’s coefficient, the other variables describe the relationship better.
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Dopad obchodních bariér na obchod mezi ČR a Čínou
Kučerková, Michaela
The aim of this diploma thesis is to identify the impact of tariff barriers in individual sectors of bilateral trade between Czech Republic and China. For this purpose, bilateral trade between countries is analysed using panel data analysis. The model results confirm the claim of the receding force of duty in favour of increasing the importance the impact of non-tariff barriers on trade.
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Sustainable Development Goal Nr. 1: End of Poverty
Komorová, Anežka ; Cahlík, Tomáš (advisor) ; Fanta, Nicolas (referee)
Nowadays, the question of the Sustainable Development Goals (SDGs) seems to get more and more attention. This bachelor thesis focuses on the first goal - end poverty in all its forms everywhere. There is a great number of literature which examines possible determinants of poverty in order to create effective strategies to fight witht it. Majority of them focuses on the study in particular countries or regions since their data are easier to access. On the contrary, this thesis examines variables and their effect on extreme poverty in the world with the use of the econometric analysis on panel data. There are seven independent variables used: GDP per capita, Gini index as a proxy variable for income inequality, population growth and four education attainment levels - no education, primary, secondary and tertiary. The World Bank was chosen as the primary source of data with a great number of observations from 125 countries over time period of 2000 and 2017. According to the results of the study, explanatory variables GDP per capita, income inequality, no education and tertiary education significantly affect extreme poverty. Also, the results show that the goal of 0 % is unlikely to be fulfilled by the year of 2030. To sum up, the first goal of the SDGs turned out as too ambitious. For its...
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