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Original title:
Multidimenzionální analýza dopadu bezpečnostních obav týkajících se migrace: Případová studie Velké Británie
Translated title: Multidimensional Analysis of Security Concerns over Immigration: the Case of the United Kingdom
Authors: Cherkas, Alina ; Střítecký, Vít (advisor) ; Fitzgerald, James (referee) ; Kay, Rebecca (referee)
Document type: Master’s theses
Year: 2020
Language: eng
Abstract: 2 Abstract Building upon the Paris school of securitisation, this dissertation investigates the relationship between securitised migration and the perception of the European Union in the United Kingdom. Being among the first quantitative studies in the field of security, the work applies various data visualisation techniques and standard quantitative methods to study the phenomenon of migration securitisation in the UK between 2004 and 2018 based on the European Social Survey Data. Extensive exploratory analysis uncovers the existence of a distinct group of people in the UK who perceive both the EU and migration as threats. The analysis also finds stark regional and temporal differences that suggest a certain degree of securitisation of the migration issue in the run-up of the Brexit referendum, which disappears shortly after. Regression analysis using a fixed-effect model provides a reliable estimate of a strong and substantial effect of securitised migration on the perception of the EU. Keywords: Brexit, migration, securitisation, United Kingdom, visualisation, regression analysis.
Keywords: Brexit; migration; regression analysis; securitisation; United Kingdom; visualisation; Brexit; migration; regression analysis; securitisation; United Kingdom; visualisation
Institution: Charles University Faculties (theses) (web)
Document availability information: Available in the Charles University Digital Repository.
Original record: http://hdl.handle.net/20.500.11956/177257
Permalink: http://www.nusl.cz/ntk/nusl-511076
The record appears in these collections:
Universities and colleges > Public universities > Charles University > Charles University Faculties (theses)
Academic theses (ETDs) > Master’s theses
Translated title: Multidimensional Analysis of Security Concerns over Immigration: the Case of the United Kingdom
Authors: Cherkas, Alina ; Střítecký, Vít (advisor) ; Fitzgerald, James (referee) ; Kay, Rebecca (referee)
Document type: Master’s theses
Year: 2020
Language: eng
Abstract: 2 Abstract Building upon the Paris school of securitisation, this dissertation investigates the relationship between securitised migration and the perception of the European Union in the United Kingdom. Being among the first quantitative studies in the field of security, the work applies various data visualisation techniques and standard quantitative methods to study the phenomenon of migration securitisation in the UK between 2004 and 2018 based on the European Social Survey Data. Extensive exploratory analysis uncovers the existence of a distinct group of people in the UK who perceive both the EU and migration as threats. The analysis also finds stark regional and temporal differences that suggest a certain degree of securitisation of the migration issue in the run-up of the Brexit referendum, which disappears shortly after. Regression analysis using a fixed-effect model provides a reliable estimate of a strong and substantial effect of securitised migration on the perception of the EU. Keywords: Brexit, migration, securitisation, United Kingdom, visualisation, regression analysis.
Keywords: Brexit; migration; regression analysis; securitisation; United Kingdom; visualisation; Brexit; migration; regression analysis; securitisation; United Kingdom; visualisation
Institution: Charles University Faculties (theses) (web)
Document availability information: Available in the Charles University Digital Repository.
Original record: http://hdl.handle.net/20.500.11956/177257
Permalink: http://www.nusl.cz/ntk/nusl-511076
The record appears in these collections:
Universities and colleges > Public universities > Charles University > Charles University Faculties (theses)
Academic theses (ETDs) > Master’s theses
Record created 2022-10-23, last modified 2023-12-31