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

• Thesis title in Czech: Řízení přeshraničních toků dat: Proč státy přejímají konkrétní regulační modely?
• Thesis title in English: Models of data flow governance and their followers: Why do countries adopt one framework over another?
• Key words: správa dat, řízení přeshraničního toku dat, globální řízení, difuse politik, digitální ekonomika, logistická regresní analýza
• English key words: data governance, cross-border data flow governance, global governance, policy diffusion, digital economy, logistic regression analysis
• Academic year of topic announcement: 2020/2021
• Thesis type: diploma thesis
• Thesis language: angličtina
• Department: Department of International Relations (23-KMV)
• Supervisor: doc. Michal Parízek, Ph.D.
• Author: hidden - assigned by the advisor
• Date of registration: 16.06.2021
• Date of assignment: 29.09.2021
• Date and time of defence: 15.09.2022 09:00
• Venue of defence: Pekařská 16, JPEK312, 312, Malá učebna, 3.patro
• Date of electronic submission: 02.08.2022
• Date of proceeded defence: 15.09.2022
• Opponents: Mgr. Jan Mazač

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Preliminary scope of work

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 státy, v nichž dochází k porušování základních lidských práv, platí vyšší pravděpodobnost, že přijmou čínský nebo americký rámec řízení přeshraničních toků dat.

Preliminary scope of work in English

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. Examining a sample of 74 countries that have adopted one of the frameworks, the study finds that a high quality of democracy and adherence to the international human rights standards are relevant factors for the adoption of the European model, while states showing lower respect for human rights are more likely to follow the Chinese and America cross-border data flow governance models.