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We focus on the extent to which polycentric urban regions can substitute for the agglomeration economies provided by large cities. Building on an open‐source software tool that helps identifying polycentric developments in urban regions, we analyse the spatial structure (in terms of size, dispersion and polycentricity) of 94 regions across 34 European countries and link this to their level of total factor productivity. We find that both more polycentric regions and more dispersed regions are associated with lower productivity levels. [ABSTRACT FROM AUTHOR]

Geographical variability of cancer burden was almost exclusively estimated for common cancers. Since rare cancers (RC) have become an area of priority for basic and clinical research and public health organizations, this paper provides, using a common methodology, a detailed comparison of incidence and survival for RC in the US and Europe. We estimated incidence and net survival of 199 malignant RC from data of 2 580 000 patients collected by 18 US‐SEER and 94 European registries, diagnosed within the most recent common period 2000‐2007. RC were defined according to the criterion of crude annual incidence rates <6/100 000. In total, 196 RC were classified as rare in both populations. Of these, 43 had incidence rates significantly different by at least 0.2 per 100 000:34 higher in the US and 9 higher in Europe. Five‐year net survival for all RC combined significantly differed: 54% in the US and 48% in Europe. Survival for 62 RC was significantly higher in the US vs 6 higher in Europe. Differences were not concentrated in a particular cancer family, and were mostly relevant for cases diagnosed >65+ years of age. Use of standardized methods evidenced that incidence and survival rate of majority of RC were higher in the United States compared to Europe. Possible reasons for such differences, requiring further studies, include distribution of risk factors, ability to diagnose RC, different registration practices, and use of updated International Classification of Diseases for Oncology. [ABSTRACT FROM AUTHOR]

More than often, studies explaining migration causes centre on economic explanations and minimize other factors' explanatory power. This research aims at creating a comprehensive model of migration determinants taking into account four dimensions: economic, social, cultural, and digital. A path model consisting of these dimensions was created and estimated through partial least squares structural equation modelling (PLS‐SEM). The PLS‐path model was applied to Romanian migration flows to 21 EU member states during 2007–2017. The findings indicate that social and technological developments have significant impacts on migration flows and that digital distance has a full mediation effect on the relationship between cultural distance and migration flows. [ABSTRACT FROM AUTHOR]

The paper analyses the impact of domestic and international tourism on the economic growth process for 179 European regions. The econometric analysis is based on a spatial growth regression framework where the rate of GDP per capita growth at the regional level for the period 1999-2009 depends on tourism flows, in addition to the traditional growth variables. Besides controlling for initial conditions, we also include a wide set of covariates to account for the endowment of human and technological capital and for the geographical, social and institutional features of the regions. The results, confirmed by several robustness checks, demonstrate that regional growth is positively affected by domestic and international tourism. [ABSTRACT FROM AUTHOR]

Human isotopic ecology at its core aims to study humans as a part of their environments, as animals within an ecosystem. We are complex animals with complicated foodways and mobility patterns that are hard to address without large multifaceted data sets. As biomolecular data from archaeological remains proliferates scientists are now at the stage where we are able to collate large bodies of data and undertake complex meta‐analyses and address the complexities of human ecology and past socioenvironmental dynamics. Here we present a data set of 862 entries of new primary isotopic data (37 faunal bone, 235 human enamel carbonate with a subset of 18 for 87/86Sr, 347 human bone, 243 human bulk dentine) within a larger data set compiled from available legacy data. It contains a total of 8,910 isotopic entries from ancient humans and animals relating to diet and mobility from the late Roman period into the Middle Ages (c. 400–1200 AD). It includes carbon, nitrogen, oxygen, and strontium isotope ratios from human bone, human dentine, faunal bone, and human bioapatite from thousands of individuals, and hundreds of sites found across 26 modern countries in western Europe. Studies have previously focused on only one of these aspects, compiling data sets for one tissue, or common isotopic pairing, or focusing on a particular site or region at a smaller scale for multi‐isotope multitissue studies. This is the largest and first multitissue, multi‐isotope, multiproxy data set of its kind from premodern populations. In publishing this data set, we hope to inspire more synthetic and meta‐analytical work on human isotopic ecology. Insights from these data should lead to greater understanding of diet, agriculture, climate change, human–animal interactions, mobility/migration, and much more in the past. It is hoped that these insights into past socioenvironmental dynamics will help inform current discourse on human–environmental interactions. There are no copyright or proprietary restrictions on the data; these data papers should be cited when these data are used in publications. Additionally, we would like to hear from other researchers who use these data sets in teaching or for their own research. [ABSTRACT FROM AUTHOR]