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Personal data increasingly serve as inputs to public goods. Like other types of contributions to public goods, personal data are likely to be underprovided. We investigate whether classical remedies to underprovision are also applicable to personal data and whether the privacy-sensitive nature of personal data must be additionally accounted for. In a randomized field experiment on a public online education platform, we prompt users to complete their profiles with personal information. Compared to a control message, we find that making public benefits salient increases the number of personal data contributions significantly. This effect is even stronger when additionally emphasizing privacy protection, especially for sensitive information. Our results further suggest that emphasis on both public benefits and privacy protection attracts personal data from a more diverse set of contributors.
Öffentliches Rechnungswesen
(2019)
While W.E.B. Du Bois’s first novel, The Quest of the Silver Fleece (1911), is set squarely in the USA, his second work of fiction, Dark Princess: A Romance (1928), abandons this national framework, depicting the treatment of African Americans in the USA as embedded into an international system of economic exploitation based on racial categories. Ultimately, the political visions offered in the novels differ starkly, but both employ a Western literary canon – so-called ‘classics’ from Greek, German, English, French, and US American literature. With this, Du Bois attempts to create a new space for African Americans in the world (literature) of the 20th century. Weary of the traditions of this ‘world literature’, the novels complicate and begin to decenter the canon that they draw on. This reading traces what I interpret as subtle signs of frustration over the limits set by the literature that underlies Dark Princess, while its predecessor had been more optimistic in its appropriation of Eurocentric fiction for its propagandist aims.
Rapallo
(2022)
Verdun 1916
(2016)
Befreiung oder Gewalt?
(2017)
Donors of development assistance for health typically provide funding for a range of disease focus areas, such as maternal health and child health, malaria, HIV/AIDS, and other infectious diseases. But funding for each disease category does not match closely its contribution to the disability and loss of life it causes and the cost-effectiveness of interventions. We argue that peer influences in the social construction of global health priorities contribute to explaining this misalignment. Aid policy-makers are embedded in a social environment encompassing other donors, health experts, advocacy groups, and international officials. This social environment influences the conceptual and normative frameworks of decision-makers, which in turn affect their funding priorities. Aid policy-makers are especially likely to emulate decisions on funding priorities taken by peers with whom they are most closely involved in the context of expert and advocacy networks. We draw on novel data on donor connectivity through health IGOs and health INGOs and assess the argument by applying spatial regression models to health aid disbursed globally between 1990 and 2017. The analysis provides strong empirical support for our argument that the involvement in overlapping expert and advocacy networks shapes funding priorities regarding disease categories and recipient countries in health aid.
We analyse the top tail of the wealth distribution in France, Germany, and Spain using the first and second waves of the Household Finance and Consumption Survey (HFCS). Since top wealth is likely to be under-represented in household surveys, we integrate big fortunes from rich lists, estimate a Pareto distribution, and impute the missing rich. In addition to the Forbes list, we rely on national rich lists since they represent a broader base of the big fortunes in those countries. As a result, the top 1% wealth share increases notably for the three selected countries after imputing the top wealth. We find that national rich lists can improve the estimation of the Pareto coefficient in particular when the list of national USD billionaires is short.