Long-term exposure to ambient air pollutant concentrations is known to cause chronic lung inflammation, a condition that may promote increased severity of COVID-19 syndrome caused by the novel coronavirus (SARS-CoV-2). In this paper, we empirically investigate the ecologic association between long-term concentrations of area-level fine particulate matter (PM 2.5) and excess deaths in the first quarter of 2020 in municipalities of Northern Italy. The study accounts for potentially spatial confounding factors related to urbanization that may have influenced the spreading of SARS-CoV-2 and related COVID-19 mortality. Our epidemiological analysis uses geographical information (e.g., municipalities) and negative binomial regression to assess whether both ambient PM 2.5 concentration and excess mortality have a similar spatial distribution. Our analysis suggests a positive association of ambient PM 2.5 concentration on excess mortality in Northern Italy related to the COVID-19 epidemic. Our estimates suggest that a one-unit increase in PM 2.5 concentration (µg/m 3) is associated with a 9% (95% confidence interval: 6-12%) increase in COVID-19 related mortality.

Long-term exposure to ambient air pollutant concentrations is known to cause chronic lung inflammation, a condition that may promote increased severity of COVID-19 syndrome caused by the novel coronavirus (SARS-CoV-2). In this paper, we empirically investigate the ecologic association between long-term concentrations of area-level fine particulate matter (PM 2.5) and excess deaths in the first quarter of 2020 in municipalities of Northern Italy. The study accounts for potentially spatial confounding factors related to urbanization that may have influenced the spreading of SARS-CoV-2 and related COVID-19 mortality. Our epidemiological analysis uses geographical information (e.g., municipalities) and negative binomial regression to assess whether both ambient PM 2.5 concentration and excess mortality have a similar spatial distribution. Our analysis suggests a positive association of ambient PM 2.5 concentration on excess mortality in Northern Italy related to the COVID-19 epidemic. Our estimates suggest that a one-unit increase in PM 2.5 concentration (µg/m 3) is associated with a 9% (95% confidence interval: 6-12%) increase in COVID-19 related mortality.

Long-term exposure to ambient air pollutant concentrations is known to cause chronic lung inflammation, a condition that may promote increased severity of COVID-19 syndrome caused by the novel coronavirus (SARS-CoV-2). In this paper, we empirically investigate the ecologic association between long-term concentrations of area-level fine particulate matter (PM 2.5) and excess deaths in the first quarter of 2020 in municipalities of Northern Italy. The study accounts for potentially spatial confounding factors related to urbanization that may have influenced the spreading of SARS-CoV-2 and related COVID-19 mortality. Our epidemiological analysis uses geographical information (e.g., municipalities) and negative binomial regression to assess whether both ambient PM 2.5 concentration and excess mortality have a similar spatial distribution. Our analysis suggests a positive association of ambient PM 2.5 concentration on excess mortality in Northern Italy related to the COVID-19 epidemic. Our estimates suggest that a one-unit increase in PM 2.5 concentration (µg/m 3) is associated with a 9% (95% confidence interval: 6-12%) increase in COVID-19 related mortality.

We estimate the relationship between urban spatial expansion and its socio-economic

The empirical literature suggests that farmland prices and rents capitalise agricultural subsidies and that the 2003 reform of the EU Common Agricultural Policy, which decoupled subsidies from production and attached them to land, may have increased the extent of the phenomenon. Employing a farm-level dataset, the Farm Accountancy Data Network (FADN) for Italy, we investigate this issue while accounting for selectivity, endogeneity and unobserved individual heterogeneity. To understand the impact of the reform we compare the estimates of capitalisation rate for decoupled payments with those for coupled payments. After correcting for unobserved individual heterogeneity and selectivity, our results reveal no capitalisation of coupled payments and only limited capitalisation of decoupled area payments into farmland rents in Italy.

In representing urban sprawl, the decline in population and employment density from the city centre to the periphery has been identified as the main character associated with the spatial expansion of built-up areas. Urban spatial discontinuity, which occurs when the urban fabric includes built-up or green areas and a relevant share of vacant spaces, has gained recent attention. In this paper, we use Global Human Settlement Layer data to track urbanisation dynamics in European Functional Urban Areas (FUAs) from 1990 to 2014. We represent urban sprawl as the spatial expansion of FUAs associated with either or both declining population density and increasing built-up area discontinuity. We also consider the association with the demographic trends that have been described as the primary driver of urban spatial expansion. We use configural frequency analysis to explore the local association between the different characters of sprawl. We found evidence that urban sprawl effectively took differentiated forms across European FUAs. Even though FUAs have generally become less dense and more disperse, our results show that the extent of these phenomena appears to be more contained in recent years than in previous decades. Both elements of sprawl characterise FUAs with a shrinking population, confirming the decoupling of urban development policies and demographic trends in cities. The results call for better controlled urban development, favouring compact cities and subjecting land-use changes to a perspective of urban population growth.

The accumulation of knowledge, human capital and agglomeration are indicated as prominent sources of externalities. Therefore, this study examines their contributions to the economic growth of regions in Europe, while accounting for non-linear and threshold effects as well as spatial dependence. The results highlight differentiated growth patterns for less and more developed regions with the effect of knowledge being considerable only in the latter group. The findings suggest that there is the potential for innovation and agglomeration in many less developed regions located in both the new member states (NMS) and the old member states (OMS). However, to reach sustained growth, structural change is necessary in these regions. We conclude that the existing gaps in the economic structure are deemed responsible for the persistence of income disparities. This reinforces the call for specific policy actions in catching-up regions, thus strengthening the arguments in favour of a place-based approach to regional policy.

The impact of the European Union common agricultural policy direct payments on land prices has received substantial attention in recent years, leading to heterogeneous evidence of capitalisation for both coupled and decoupled payments. In this paper, we provide an extensive review of the empirical works addressing this issue econometrically and compare their results through a Bayesian meta-regression model, focussing on the impact of decoupling and its implementation schemes. We find that the introduction of decoupled payments increased the capitalisation rate, although the extent of this increment hinges on the implementation scheme adopted by the member state.