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Vliv investic do dálniční infrastruktury na socioekonomické ukazatele vybraného regionu
Kučera, Štěpán
Kučera, Š. The impact of state investments in highway infrastructure on socio-economic indicators of a selected region. Master thesis. Brno: Mendel University in Brno, 2023. The thesis focuses on the identification of the impact of state investments in highway infrastructure on selected socio-economic indicators. The variables examined include unemployment rate, number of companies by number of employees, housing construction and total population growth. The thesis focuses on the assessment of the impact of the implementation of the D1 highway section, which connects the capital city of Prague and the regional city of Hradec Králové. Based on theoretical assumptions, the thesis uses a difference-in-differences method, which is combined with a synthetic control method with panel regression techniques. The empirical analysis focuses on assessing the impact of highway construction on the dynamics of selected socio-economic indicators within the region, which includes six municipalities with extended jurisdiction, and data are examined with an annual frequency from 2002 to 2021. The results suggest that the implementation of highway infrastructure as part of state investment does not automatically confer a competitive advantage and economic growth, as would be expected from initial assumptions.
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Factors that influence the unemployment rate in Ukraine
Ilienko, Alisa
Ilienko, A. Factors that influence unemployment rate in Ukraine. Bachelor thesis. Brno: Mendel University, 2023. The aim of the bachelor thesis was to identify the factors affecting the unemploy-ment rate in Ukraine. The factors are identified based on theoretical knowledges and experience of other countries, mainly those with economies in transition. Next, the labor market in Ukraine, the state of the economy and factors that may affect the unemployment rate are investigated. The peculiarities of the Ukrainian labor market are also taken into account, such as a large part of the shadow economy, a high level of corruption, regional unemployment and labor forces migration. To achieve this goal, multiple regression analysis is used to build an appropriate model. The influence of the average amount of unemployment benefits, corruption index, population aged 15-70 employed in the informal sector, minimum wage, GDP growth, FDI incoming, inflation index on the unemployment rate in Ukraine was tested. Statistically significant turned to be such factors as Corruption Index, Popu-lation employed in the informal sector, Minimum wage, and incoming FDI. Further, the influence of the factors was explained from the point of view of the Ukrainian labor market.
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Faktory ovlivňující míru nezaměstnanosti v Polsku
Kliková, Veronika
This bachelor’s thesis deals with the topic of unemployment in the Polish labour market. The aim is to identify factors that influence the unemployment rate and the long-term unemployment rate in Poland. The choice of variables used in the empirical part is consistent with the economic theory. The empirical part is based on multivariate regression analysis, and both models are created to describe the relationship between dependent variables and regressors. In the first model, the statistically significant variables are ALMPs and PLMPs expenditures, GDP growth and EPL index, and in the second model, the statistically significant variables are minimum wage, ALMPs expenditures and GDP growth. In the empirical part, regional disparities of the unemployment rate in the labour force market in Poland are described.
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Vývoj nezaměstnanosti v ČR v letech 2020-2021
Svobodová, Tereza
The diploma thesis deals with the development of unemployment in the territory of the Czech Republic in the period 2020–2021. The aim of the thesis is to reflect the changes in unemployment rate in the given territory as a result of government restrictions in order to protect the public health of the population in connection with the spread of the SARS-CoV-2 virus. Based on secondary data of the unemployment rate, the thesis interprets the numerical transformation of the growth of unemployment across the regions of the Czech Republic. These knowledges are placed in the context of temporal events of interventions in the economy. The results of the analytical part proved that the anti-epidemic measures is-sued as part of the prevention of the covid-19 disease had an effect on increased unemployment. The national average of the unemployment rate increased by 1.1 p. p. as of 31 December 2020. At the same time, based on the results, it can be stated that there are differentiations between regions, which are dependent on the struc-ture of the industry and their share of employment in the given industry. The high-est year-on-year increase as of 31 December 2020 was recorded in the district of Karlovy Vary by 3.4 p. p., the smallest in the district of Prachatice by 0.3 p. p.
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