Studies on fertility determinants have frequently pointed to the role that socio-economic, cultural and institutional factors play in shaping reproductive behaviours. Yet, little is known about these determinants at an ecological level, although it is widely recognised that demographic dynamics strongly interact with ecosystems. This research responds to the need to enhance the knowledge on variations in fertility across space with an analysis of the relationship between fertility and population density of Italians and foreigners in Italy at the municipal level for the period 2002–2018. Using global and local autocorrelation measures and a spatial Durbin model, we show that there is a negative association between the fertility and population density of the Italian population, while the density of foreigners is correlated with higher fertility. This second result poses new insights on the relationship between space and fertility. Moreover, we find that the features of neighbouring areas, measured by population density, contribute significantly to explaining spatial fertility variation, confirming the importance of the study of spatial diffusion in demographic processes.

Migration is an obvious response to political, economic, socio-demographic, and ecological crises. In recent decades, several crises have occurred in the Mediterranean region; consequently, migration has intensified, the geography of flows has been altered, and the roles of some countries within the Mediterranean migration system have rapidly changed. This paper aims to delineate an overview of migration flows in this region over the last 20 years, focusing on the new migration flows related to humanitarian crises. In doing so, the present study also examines similarities and differences between past and current migration factors that shape the decisions of individuals. Migration flows are closely linked to the needs and fears of European societies. Following this logic, and by analysing challenges related to demographic and geopolitical dimensions in the future scenario, this study discusses the necessity of new policy responses.

The interplay between accessibility and population change is a relatively new subject in Italian academic research. Along with social and economic factors such as regional economic prosperity, the ease of movement inside and outside an area can play a pivotal role in shaping population dynamics. This study seeks to explore the spatial distribution and spatial relationships of three indicators, including one related to real accessibility (RAI) and two others related, respectively, to the shares of the older population (SOP) and of the foreign population (SFP). An exploratory spatial data analysis is, therefore, conducted at the local level using Italian municipalities as the statistical units for the empirical analysis. Local univariate spatial autocorrelation analysis is used together with a regression analysis based on ordinary least squares (OLS) and geographically weighted regression (GWR) models. The results provide valuable insights into the local heterogeneity that characterizes the distribution of each indicator and the local relationship between them, highlighting the importance of thinking locally in quantitative social sciences.