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By examining comparatively two recent projects of university-led large-scale real estate development in South Korea and Singapore, this paper contributes to the ongoing efforts to problematise the methodological statism in the study of East Asian urbanisation, i.e., understanding it as a process dominated by state actors, on the one hand, and to challenge the perspective that university-led real estate projects are a neoliberal strategy as conventionally understood in the West on the other. To this end, this paper uses qualitative research methods to investigate how and why East Asian universities participate in real estate development projects; how the universities pursue their material goals by negotiating with the state, which is known to have led condensed urbanisation and industrialisation in East Asia (Global East). This paper concludes that speculative real estate development activities of East Asian universities are variegated based on their developmental legacies and need to be understood as more nuanced processes. The case studies demonstrate that East Asian universities have worked beyond their social roles by directly participating in the urban process, pursuing the accumulation of real estate assets that would eventually undermine their public role as educational institutions. [ABSTRACT FROM AUTHOR]

• Provide a comprehensive overview of the solidarity in health and long-term care sectors. • The overall direction of reforms is developing toward universal coverage. • Reforms might be possible without overall consensus on solidarity. • The pay-as-you-go financial arrangements will require strong intergenerational solidarity. • The capacity of informal caregiving of family could be considered. Different from the development of health sector, there are significant variations in the underpinnings and formation timings of solidarity-based long-term care (LTC) systems. This paper compares the historical developmental trajectories and identifies factors of the transitions of the actual practices of solidarity - the scope of community, the scope of interdependence, and the costs of joint action - in the health and LTC sectors in four East Asian countries: Japan, South Korea, Taiwan, and Singapore. Comparative policy analysis. Healthcare tends to be considered a universal value such that its boundary should include all residents, while LTC is closer to an entitlement of citizens. The differing solidarity reflects path dependency as well as historical legacies and policy diffusion between the health and LTC sectors. In both health and LTC sectors, the costs involved in collective service provision are not distributed evenly between generations. Centralized governance is a prevailing feature of health and LTC sectors in East Asia, allowing solidarity-based institutional arrangements to be established without an overall sense of solidarity. The relationship between solidarity and health and LTC systems is complex and dynamic. [ABSTRACT FROM AUTHOR]

The experience of Singapore and South Korea makes it clear that under certain circumstances massive testing is an effective way for containing the advance of the COVID-19. In this paper, we propose a modified SEIR model which takes into account tracing and massive testing, proving theoretically that more tracing and testing implies a reduction of the total number of infected people in the long run. We apply this model to the spreading of the first wave of the disease in Spain, obtaining numerical results. After that, we introduce a heuristic approach in order to minimize the COVID-19 spreading by planning effective test distributions among the populations of a region over a period of time. As an application, the impact of distributing tests among the counties of New York according to this method is computed in terms of the number of saved infected individuals. • A SEIR model is introduced to analyse the efficiency of test distributions. • It is proved that massive testing helps reducing the number of infected people. • A heuristic method is developed to increase the number of saved infections. • Extensive computational experience quantifies the number of saved infections. [ABSTRACT FROM AUTHOR]