The relationship between populism and COVID-19 vaccination rates in the Czech Republic
| Author: | Bc. Anna Bazaykina |
|---|---|
| Year: | 2022 - summer |
| Leaders: | PhDr. Miroslav Palanský M.A., Ph.D. |
| Consultants: | |
| Work type: | Bachelors |
| Language: | English |
| Pages: | 60 |
| Awards and prizes: | |
| Link: | https://dspace.cuni.cz/handle/20.500.11956/175559 |
| Abstract: | The bachelor thesis raises the problem of how political preferences can affect the readiness of people to be vaccinated in the Czech Republic. The entire study is provided at district level. The study primarily focuses on populism as main factor which negatively influences on people vaccination activity. The research defines two major populist parties: ANO party and SPD party. The study includes theoretical and empirical approaches. Theoretical analysis explains what specific characteristics electorate of populist parties has and how these characteristics could be related with unwillingness to be vaccinated. Empirical analysis includes graphical analysis and regression model analysis. Graphical analysis helps to understand how cumulative vaccination rate (%) changes over time in different districts. In other words, graphical analysis visualizes how the difference in vaccination rate between populist and non-populist districts develops over time. Another graphical analysis which shows how rate of growth of vaccinated people (%) changes over time helps us to identify time trend. Time trend is needed to be constructed in order to build more precise regression model. Regression model analysis is used in the thesis in order to confirm the assumption that districts which express their support for populist party (ANO or SPD) tend to have lower vaccination rate than districts where people do not prefer to vote for populists. Also, regression model analysis investigates the effect which additional factors (like sex, ethnicity, education etc.) have on vaccination rate. |
