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SARS-CoV-2 uses human beings as means of transport. In addition to the general issue that fewer interpersonal contacts reduce the speed of contagion, less attention has been paid to the spatial configuration of such contacts. With respect to Italy, the virus severely affected the most industrialized area of the country, where the high density of economic activities also exhibits dense networks of commuting flows. In this article, we empirically investigate the relationship between the spatial extent of local labour markets, as defined by the structure of the commuting network, and the diffusion of COVID-19. To this end, we compute, for each municipality, the intensive and extensive margins of commuting flows and we measure the spread of the disease by considering excess mortality over the period of January-May 2020. By exploiting a rich and novel dataset, we find that the commuting network played a significant role in placing more connected places at more severe epidemiological risk. A back-of-the-envelope calculation suggests that if commuting patterns were 90% of the real ones, Italy would have suffered approximately 1 300 and 1 000 fewer fatalities in March and April, respectively.

The impact of European Cohesion Policy in urban and rural regions. Regional Studies. This paper presents an evaluation exercise on the impact of European Cohesion Policy on the economic performance of the most disadvantaged European areas (Objective 1 regions) for the programming period 2000–06. By performing the analysis at NUTS-3 rather than NUTS-2 level to exploit the exogeneity of the treatment status in the context of a regression discontinuity design (RDD), the analysis shows that European Cohesion funds have positively contributed to generating economic growth in lagging areas. However, their effect is mainly driven by the successful performance of rural areas close to the main urban agglomerates. Favourable geography and the progressive suburbanization of the rural landscape created new opportunities for rural areas close to cities, thus boosting the effect of the policy.