National Repository of Grey Literature 138 records found  1 - 10nextend  jump to record: Search took 0.00 seconds. 
The relationship of cultural and non-cultural characteristics of countries with the sharing economy size
Filonau, Ilya ; Chytilová, Julie (advisor) ; Cahlík, Tomáš (referee)
Within the thesis, the concept of sharing economy is described and the relationship of cultural characteristics among different countries with its size and adoption is examined. The main aim is to understand whether cultural characteristics are significant at explaining the rate of adoption of sharing economy. The relationship between sharing economy size and non-cultural characteristics is assessed as well. This is done with the use of regression analysis. Keywords: Sharing Economy, Digital Platforms, Hofstede, Cultural Dimensions, Internet Penetration, Economic Freedom Author's email: Character count: 86 841
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...
The Impact of Ethnic Diversity on Institutions and Economic Development in Former Yugoslavia
Kaltak, Miran ; Schwarz, Jiří (advisor) ; Cahlík, Tomáš (referee)
The aim of the thesis was to conduct a research on impact of ethnic diversity on the economic growth of the countries of ex-Yugoslavia. The main hypothesis was that ethnic diversity affects economic growth. The research was done by using two different methods: a) calculating ethnic fractionalization index and GDP per capita; b) analyzing institutions as channels through which ethnic diversity effects economic growth. The results obtained within the first model demonstrated that diversity negatively influences economic growth. Still, no reliable conclusions could be made, due to low variability in data, short time frame considered and lack of regular data collection. Therefore, the second method reviewed institutions as a channel through which ethnic diversity affects economic growth. The conclusion of this model was that, ethnic diversity mainly has negative impact on the indicators reviewed, which then results in slower economic growth. The results of the research showed that ethnic heterogeneity is an important element in economic, political, institutional and social life of a country. It can be concluded that ethnic diversity is an important factor that should be taken into consideration when doing economic planning in a country as it has direct and, very often, strong impact on economic growth.
Regional Determinants of Residential Real Estate Prices in the Czech Republic
Kalabiška, Roman ; Hlaváček, Michal (advisor) ; Cahlík, Tomáš (referee)
This thesis aims to examine the behaviour of residential real estate prices and identify their determinants across Czech regions. After cointegration of the data was detected, a panel dynamic OLS estimator was employed. Initially, the effect of a wide range of variables on apartment prices is analyzed on quarterly data for all regions of the Czech Republic. Furthermore, an error correction model is employed to verify the existence of long-term equilibrium of apartment prices and the speed of price adjustment in the short run. The regression revealed that apartment prices are driven mainly by building plot prices, wages, unemployment, net migration and REER. Next, several regions with unique characteristics were excluded from the sample and analyzed separately in order to check robustness of the selected model. The results of PDOLS regression imply that apartment prices react very differently to certain determinants in different groups of regions. Lastly, in order to examine these reactions in different time periods, the dataset was divided by the time dimension. The results suggest that the effect of unemployment was the largest during the financial crisis of 2007/2008 and that the effects of wages and building plot prices have been changing dramatically over time. JEL Classification C23, O18, R11,...
Criminality in the Czech Repulic
Doležalová, Barbora ; Cahlík, Tomáš (advisor) ; Palanská, Tereza (referee)
This thesis aims to analyze factors influencing crime rate in the Czech Republic. From time immemorial, crime rate has been a part of our society and its impacts do not influence only its victims but the whole economy as well. The main contribution of this thesis is an econometric analysis of the most recent panel data of Czech counties from 2010 to 2017. Thanks to this dataset we identified factors and their significances. For more accurate results we also examined factors influencing particular crimes - robbery, burglary, rape and murder. By analysis we found out that unemployment rate is significant factor, however, this factor has negative relationship with crime rate. This relationship can be described that by increasing unemployment rate people more care about their belongings, hence, it is harder for criminals to commit a crime. Positive and significant relationship was found between unemployment and robbery. Furthermore, results show that the percentage of foreigners is positively significant to burglary and rape. Therefore, it is important to focus on integration of foreigners into our society. Moreover, income inequality is positively significant in a rape model and the deterrence is positively significant as well in a crime rate model.
Municipal Waste Management and Analysis of Influencing Factors with respect to Municipal Solid Waste Generation
Kmeťková, Diana ; Cahlík, Tomáš (advisor) ; Kopečná, Vědunka (referee)
This thesis presents the topic of municipal waste management in the Czech Republic and describes the current trends within this area. We analyse the data on the generation and treatment of municipal solid waste in the Czech Republic and then we compare several waste indicators in the EU countries. The main goal of the thesis is to describe the relationship between municipal solid waste generation (MSW) and socio-economic factors. In order to identify the variables that might have a significant impact on the generation of MSW, we carry out a panel data regression using data from 28 EU countries over a time period from 1995 to 2017. We present four model specifications that were created based on the studied research articles. Our findings suggest that GDP and income have a significant positive impact on MSW generation, which is in accordance with the majority of research works. On the other hand, two other significant variables, population and density, are estimated to be negatively related to MSW production. Moreover, urbanization and unemployment rate result to be insignificant. 1
Analysis of Unemployment in Russia: Spatial Analysis on Russian Regions
Provazník, Jan ; Cahlík, Tomáš (advisor) ; Bezhanishvili, Levan (referee)
This thesis analyses the regional labor markets of Russian Federation in terms of unemployment and Okun's law. Using Hodrick-Prescott filter, the potential GRP and natural rate of unemployment are calculated in order to be used for the estimation of Okun's law coefficient (OLC). The analysis reveals variation in OLC between regions as well as significant spatial correlation thereof (measured by Moran's I). For the examination of Okun's convergence, a new method is developed which consists in estimating a time trend in R-squared obtained by estimating Okun's law cross-sectionally, separately for each year. The results indicate that there is no regional Okun's convergence in Russia.
Sustainable Development Goal 7: Affordable and Clean Energy Panel Data Analysis
Křížková, Alžběta ; Cahlík, Tomáš (advisor) ; Moravcová, Michala (referee)
This thesis analyses the seventh Sustainable Development Goal: Affordable and Clean Energy. Four empirical models are built, each for one indicator. They are then evaluated using panel data analysis for all member states of the UN. The research question it seeks to answer is: "What characteristics have major impact on providing electric energy and other energy related benefits?" We found that in most of the cases, the proportion of urban population and the Human Development Index have a major impact on the indicators. Unlike any previous study dealing with similar topics, this paper analyses the whole goal with its four indicators, not just one particular energy aspect. That allows us to look for interconnection and common features between indicators and their influences.

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2 Cahlík, T.
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