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The Polish model of the populist party: a new perspective on the populist radical right
Greger, Vojtěch ; Kofroň, Jan (advisor) ; Guasti, Petra (referee)
The Polish model of the populist party: a new perspective on the populist radical right Master's thesis Bc. Vojtěch Greger Abstract The rise of the populist radical right (PRR), a group of parties critical of the established norms of Western liberal democracy, in the 2010s, manifesting itself in events such as Brexit or the illiberal takeover of Hungary, has been a subject of considerable attention both from academics and the general public, and has been viewed with great concern. Academic studies of the PRR have often elevated the nativist elements in such parties' rhetoric while paying considerably less attention to the economic appeals thereof. However, in recent years, literature highlighting the importance of economic deprivation in fomenting support for Eurosceptic and PRR movements has begun to appear. This thesis is predicated on this literature's argument that the electoral successes of the PRR are very often driven precisely by economic deprivation and the discontent stemming from it. To illustrate our argument, we examine the electoral support of the Polish Law and Justice (PiS) party in the 2015 and 2019 elections using ordinary least squares regression (OLS) and geographically weighted regression (GWR). Our findings show that structural economic factors, mainly the share of workers employed in...
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The Polish model of the populist party: a new perspective on the populist radical right
Greger, Vojtěch ; Kofroň, Jan (advisor) ; Guasti, Petra (referee)
The Polish model of the populist party: a new perspective on the populist radical right Master's thesis Bc. Vojtěch Greger Abstract The rise of the populist radical right (PRR), a group of parties critical of the established norms of Western liberal democracy, in the 2010s, manifesting itself in events such as Brexit or the illiberal takeover of Hungary, has been a subject of considerable attention both from academics and the general public, and has been viewed with great concern. Academic studies of the PRR have often elevated the nativist elements in such parties' rhetoric while paying considerably less attention to the economic appeals thereof. However, in recent years, literature highlighting the importance of economic deprivation in fomenting support for Eurosceptic and PRR movements has begun to appear. This thesis is predicated on this literature's argument that the electoral successes of the PRR are very often driven precisely by economic deprivation and the discontent stemming from it. To illustrate our argument, we examine the electoral support of the Polish Law and Justice (PiS) party in the 2015 and 2019 elections using ordinary least squares regression (OLS) and geographically weighted regression (GWR). Our findings show that structural economic factors, mainly the share of workers employed in...
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Impact of demographic changes on municipal technical infrastructure in the Czech Republic - case study of waste management
Rybová, Kristýna ; Burcin, Boris (advisor) ; Šídlo, Luděk (referee) ; Trögl, Josef (referee)
Impact of demographic changes on municipal technical infrastructure in the Czech Republic - case study of waste management Abstract The aim of this study is to quantify the impact of demographic development on the current household production of municipal waste in the Czech Republic and at the same time to compare their influence with the impact of other factors. Based on a literature review and statistical data available for the Czech Republic, a set of 22 explanatory variables concerning structure of population by age, gender, highest education and employment, as well as the size of households, unemployment, purchasing power, population density and basic characteristics of housing was identified in order to explain the production of municipal solid waste, mixed municipal waste and separately collected waste components (glass and plastics). It has turned out that demographic variables, especially the average household size, gender, age, level of education or sector of employment have a statistically significant but rather weak impact on the production of these waste streams. Given that the detailed analysis of the variables indicated that there is a significant spatial variability of these characteristics and that they exhibit spatial non- stationarity, the next step was to analyze the relationship of the...
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The competitiveness of public transport on example of the Pardubice Region
Hrbek, Martin ; Marada, Miroslav (advisor) ; Květoň, Viktor (referee)
The competitiveness of public transport on example of the Pardubice Region Abstract This diploma thesis is devoted to the competitiveness of public transport in the municipalities of the Pardubice Region. Competitiveness is understood mainly in terms of the price difference between travel time and cost of public and individual car transport, and also in terms of the real demand in the municipalities, thus the share of commuting by public transport. Other parameters of mode choice, that is understood as the main indicator of competitiveness, is the number of public transport lines and automobilization. The main objective of this work is to determine how public transportation depends on the other transport characteristics of municipalities. To select significant variables, multiple linear regression analysis was used. After that, geographically weighted regression was applied in order to explain the share of commuting from municipalities. Most data originate in public databases (The Register of vehicles of Department of Transport, population census, digital geographic databases ArcČR and CEDA) and web portals (OREDO, IDOS), part of the data was obtained within questionnaire survey in selected municipalities. An expected negative relationship between the degree of automobilization and the number of public...
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Real estate price modelling with a focus on location attributes
Charvát, Ondřej ; Polák, Petr (advisor) ; Hejlová, Hana (referee)
The thesis introduces several methods of real estate price modelling suitable either for prediction of the housing prices or for exploring the relationships between the price and its determinants. We compared the conventional linear regression approach to the tree-based methods of machine learning. The comparison analysis on the dataset of 28 019 apartments in Prague suggests that regression trees (especially the Random forest) yield a higher accuracy in the price prediction. Another objective was to examine the effects of location attributes (especially its accessibility and environmental quality) on the prices of nearby apartments. To address the spatial interactions in the geographical data, we employed three spatially conscious models to achieve more reliable results. The local analysis performed with the geographically weighted regression confirmed the presence of spatial heterogeneity and described the price effects relative to the location. In some areas, an increase of 100 meters in distance from the nearest metro station and the nearest park are associated with a decrease in the apartment prices by 644 CZK/m2 and 916 CZK/m2 , respectively. These findings are especially important for the apartments near the stations of the new metro line, which is currently in construction.
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Impact of demographic changes on municipal technical infrastructure in the Czech Republic - case study of waste management
Rybová, Kristýna ; Burcin, Boris (advisor) ; Šídlo, Luděk (referee) ; Trögl, Josef (referee)
Impact of demographic changes on municipal technical infrastructure in the Czech Republic - case study of waste management Abstract The aim of this study is to quantify the impact of demographic development on the current household production of municipal waste in the Czech Republic and at the same time to compare their influence with the impact of other factors. Based on a literature review and statistical data available for the Czech Republic, a set of 22 explanatory variables concerning structure of population by age, gender, highest education and employment, as well as the size of households, unemployment, purchasing power, population density and basic characteristics of housing was identified in order to explain the production of municipal solid waste, mixed municipal waste and separately collected waste components (glass and plastics). It has turned out that demographic variables, especially the average household size, gender, age, level of education or sector of employment have a statistically significant but rather weak impact on the production of these waste streams. Given that the detailed analysis of the variables indicated that there is a significant spatial variability of these characteristics and that they exhibit spatial non- stationarity, the next step was to analyze the relationship of the...
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Housing prices in Prague
Wagner, Michal ; Ouředníček, Martin (advisor) ; Lux, Martin (referee)
This master thesis deals with the analysis of housing prices in Prague. The main goal is to identify and explain the factors which have an influence on the prices of flats at the macro and micro level. Two spatial statistic methods, namely multiple linear regressions and geographically weighted regressions (GWR), are used in the first part of the thesis, which deals with the prices in Prague in general. The influence on the values of flats in Prague basic settlement units caused by several factors such as the distance from the Old Town Square, age of dwellings, the presence of migrants or air pollution was investigated using these two methods. The price map of the association of real estate agencies, the Czech Statistical Office and the Prague Institute of Planning and Development provided the data used in the presented research. Price profiles from the centre of Prague to the suburbs in various directions were also created and analyzed. Factors with an influence on housing prices at the micro level in a case study of the Prague cadastral territory of Modřany are described in the second part of the thesis. The analysis of new developer projects and older flats in panel houses investigates the influence on the housing prices caused by factors such as noise, physical condition of apartments and the quality of...
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The competitiveness of public transport on example of the Pardubice Region
Hrbek, Martin ; Marada, Miroslav (advisor) ; Květoň, Viktor (referee)
The competitiveness of public transport on example of the Pardubice Region Abstract This diploma thesis is devoted to the competitiveness of public transport in the municipalities of the Pardubice Region. Competitiveness is understood mainly in terms of the price difference between travel time and cost of public and individual car transport, and also in terms of the real demand in the municipalities, thus the share of commuting by public transport. Other parameters of mode choice, that is understood as the main indicator of competitiveness, is the number of public transport lines and automobilization. The main objective of this work is to determine how public transportation depends on the other transport characteristics of municipalities. To select significant variables, multiple linear regression analysis was used. After that, geographically weighted regression was applied in order to explain the share of commuting from municipalities. Most data originate in public databases (The Register of vehicles of Department of Transport, population census, digital geographic databases ArcČR and CEDA) and web portals (OREDO, IDOS), part of the data was obtained within questionnaire survey in selected municipalities. An expected negative relationship between the degree of automobilization and the number of public...
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Detailed Spatial Analysis of Parliamentary Elections in 2010 Using Geographically Weighted Regression
Kuča, Martin ; Netrdová, Pavlína (advisor) ; Nosek, Štěpán (referee)
The thesis deals with the geographical analysis of the parliamentary elections in the Czech Republic in 2010. Its main goal is a detailed analysis of the elections using the method of geographically weighted regression (GWR), statistical method, which allows to uncover spatial context of the examined phenomenon more precisely. Furthermore, it is investigated whether and how the entry of new political parties on the scene (TOP 09, Věci veřejné) in 2010 changed the territorial relationship between voting behavior and the socioeconomic characteristics of the population compared to 2006 elections. The data at the municipal level from the Census 2001 and 2011 and election data are used. Data are analyzed using GWR, analysis of variance and multiple linear regression. It is shown that the global decline in turnout in 2010 was greater in the left-wing than in the right-wing regions. The existence of regional differences in the relations between local characteristics and the results of the election of the parties is demonstrated. These observed differences appear to be relatively stable - results in 2010 for each party are similar to results from 2006, especially for the ODS and the KSČM. Explanatory variables for voting for TOP 09 are very similar to those of ODS, with a larger positive effect of...
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Applying geographically weighted regression in regional development
ŠINDLER, Milan
This thesis deals with the modelling of applying techniques of ordinary least squares method and geographically weighted regression for all administrative divisions of the Czech Republic using ArcGIS software. In general this thesis introduces a GWR method which partially solves the problems associated with the analysis of spatial data. The research compares benefits of using geographically weighted regression with spatial data compared with linear regression in thesis conclusion.
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