Řízení přeshraničních toků dat: Proč státy přejímají konkrétní regulační modely?

DUBRAVČÍKOVÁ, Klára. Models of cross-border data flow governance and their followers: Why do countries adopt one framework over another? Praha, 2022. 119 pages. Master's thesis (Mgr.). Charles University, Faculty of Social Sciences, Institute of Political Science. Department of International Relations. Supervisors Dr. rer. pol. Michal Parízek, M.Sc., Ph.D. & Junprof. Dr. Jan Vogler. Abstract Currently, there are three different regulatory models of cross-border data flow, produced by three dominant actors in the international system - the United States of America, the European Union, and the People's Republic of China. As all three actively convey their model to other countries, posing new challenges to the global economy associated with the models' incompatibility, other countries face a policy-choice dilemma on what model to adopt. Consequently, the issue of mapping how the three approaches to data governance spread across the globe and exploring the rationales of states that adopt one of the three models arises. The thesis turns to this question and uses logistic regression analysis to find a correlation between the adoption of a specific cross-border data flow governance model and three sets of predictors that characterise the economic, social, and power relations between proponent-adopter pairs....DUBRAVČÍKOVÁ, Klára. Models of cross-border data flow governance and their followers: Why do countries adopt one framework over another? Praha, 2022. 119 pages. Master's thesis (Mgr.). Charles University, Faculty of Social Sciences, Institute of Political Science. Department of International Relations. Supervisors Dr. rer. pol. Michal Parízek, M.Sc., Ph.D. & Junprof. Dr. Jan Vogler. Abstrakt Navzdory společnému úsilí značné části států na mezinárodní scéně o vytvoření jednotných pravidel pro správu dat a jejich přeshraniční výměnu v současné době existují tři různé regulační rámce, které vytvořili tři dominantní aktéři mezinárodního systému - Spojené státy americké, Evropská unie a Čínská lidová republika. Jelikož se všechny tři aktéři aktivně snaží o rozšíření jejich vlastního přístupu, před dalšími státy stojí otázka, jaký model si vybrat. Cílem této práce je s využitím logistickou regresní analýzy nalézt korelaci mezi přijetím specifického modelu a třemi sadami prediktorů, které charakterizují ekonomické, sociální a mocenské vztahy mezi navrhovateli modelů a státy, které je převzali za své. Analýza datasetu o 74 zemích, které přijaly jeden z rámců, zjistila, že vysoká kvalita demokracie a dodržování mezinárodních standardů lidských práv jsou relevantními faktory pro přijetí evropského modelu, zatímco pro...Department of International RelationsKatedra mezinárodních vztahůFakulta sociálních vědFaculty of Social Science

Models of data flow governance and their followers: Why do countries adopt one framework over another?

DUBRAVČÍKOVÁ, Klára. Models of cross-border data flow governance and their followers: Why do countries adopt one framework over another? Praha, 2022. 119 pages. Master's thesis (Mgr.). Charles University, Faculty of Social Sciences, Institute of Political Science. Department of International Relations. Supervisors Dr. rer. pol. Michal Parízek, M.Sc., Ph.D. & Junprof. Dr. Jan Vogler. Abstract Currently, there are three different regulatory models of cross-border data flow, produced by three dominant actors in the international system - the United States of America, the European Union, and the People's Republic of China. As all three actively convey their model to other countries, posing new challenges to the global economy associated with the models' incompatibility, other countries face a policy-choice dilemma on what model to adopt. Consequently, the issue of mapping how the three approaches to data governance spread across the globe and exploring the rationales of states that adopt one of the three models arises. The thesis turns to this question and uses logistic regression analysis to find a correlation between the adoption of a specific cross-border data flow governance model and three sets of predictors that characterise the economic, social, and power relations between proponent-adopter pairs...

Chinese views of the world at the time of the Russia-Ukraine war

This report is a result of a large-scale online survey of public opinion in Mainland China, conducted between 9-23 March 2022,3 with a research sample (N=3039) representative of the Chinese population with respect to gender, age (18-65 years), and country region. This survey is part of a broader research project ‘Sinophone Borderlands – Interaction at the Edges’, funded by the European Regional Development Fund. As part of this project, a series of public opinion surveys have been conducted in various parts of the world. We sum up some of the findings from the Mainland China survey here, especially in relation to Chinese views of Russia, the US, and international affairs. More outcomes from this research project will follow in future, focusing on a number of more concrete issues. Overall, Chinese respondents expressed very positive views of Russia and very negative views of the US. In fact, of the 25 countries respondents were asked about, Russia was the most positively perceived country, while the US was the most negatively perceived. As our survey was collected at the height of the Chinese public and media attention towards the Russia-Ukraine war (and before the escalation of the Covid-19 in China in late March), these results suggest that the Chinese public was not disturbed by the Russian aggression, and even appeared to support Russia. This is consistent with available qualitative studies of Chinese official and social media, which show how Russia’s invasion of Ukraine has been portrayed not as an act of unprovoked aggression against a sovereign nation, but as a rightful response to US and NATO’s “bullying” of Russia. Russia appears to be strongly supported in resisting what is redefined as American aggression