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Urbanization, coupled with prosperity, is a major driver of building material consumption. As urbanization and prosperity grow, dynamically expanding societies will worsen the carrying capacity problem. Shifting from linear to circular urbanization models is key, aiming to close, slow, and narrow material flows. Understanding the materiality and dynamics of existing structures is crucial for designing these strategies, and regional material cadastres offer valuable support. This paper introduces the concept of regional material cadastres and provides examples of circularity strategy simulations based on German examples. Challenges, opportunities, and specific considerations for applying this method in areas with intense urbanization dynamics are discussed in an outlook, accompanied by a suggested research agenda. The urban city region of Hanoi is used as an example, considering previous research activities in the region.

PurposeThe purpose of this paper is to investigate the role of cognitive proximity on supply chain collaboration and how it relates to radical and incremental innovation.Design/methodology/approachThe paper is based on quantitative approach to analyze the data of 218 firms in a developing and transition economy. The proposal model is tested with exploratory factor analysis (EFA), confirmatory factor analysis (CFA) and structural equation modeling (SEM).FindingsThe authors' findings show that cognitive proximity facilitates decision synchronization and incentive alignment in the supply chain. Furthermore, the authors' results indicate that information sharing and decision synchronization are determinants of radical innovation while incentive alignment is a determinant of incremental innovation.Research limitations/implicationsThis study was cross-sectional, so the authors could not consider the control variable such as sectors or firms' size. It is hard to control the specific features of cognitive proximity in one single industry when using cross-sectional data. In future investigations, it may be possible to use a different dimension of proximity to explain the implementation of collaboration for innovation.Originality/valueThis study attempted to explore the role of cognitive proximity on supply chain implementation process in the context of a transition economy. Moreover, the authors' findings provide the clearer understanding of the relationship between collaboration and innovation.

Since the summer of 2020, the rate of coronavirus cases in the United States has been higher in rural areas than in urban areas, raising concerns that patients with coronavirus disease 2019 (COVID-19) will overwhelm under-resourced rural hospitals. Using data from the University of Minnesota COVID-19 Hospitalization Tracking Project and the U.S. Department of Health and Human Services, we document disparities in COVID-19 hospitalization rates between rural and urban areas. We show that rural-urban differences in COVID-19 admission rates were minimal in the summer of 2020 but began to diverge in fall 2020. Rural areas had statistically higher hospitalization rates from September 2020 through early 2021, after which rural-urban admission rates re-converged. The insights in this article are relevant to policymakers as they consider the adequacy of hospital resources across rural and urban areas during the COVID-19 pandemic.