Demographic Resilience in Local Systems: An Empirical Approach with Census Data

Author:

Colantoni AndreaORCID,Halbac-Cotoara-Zamfir RaresORCID,Halbac-Cotoara-Zamfir Cristina,Cudlin Pavel,Salvati Luca,Gimenez Morera Antonio

Abstract

This study estimates demographic resilience in local socioeconomic systems of Southern Europe using long-term population dynamics. We assume attractive places with a continuously expanding (resident) population as ‘demographically resilient’, and locations experiencing a persistent decline of population as more fragile to external shocks. Based on these premises, a comprehensive assessment of demographic resilience in more than 1000 municipalities along the urban–rural gradient in Greece, a Mediterranean country with marked regional disparities, was carried out between 1961 and 2011. Municipalities were considered representative of homogeneous local communities, especially in rural areas. The results of non-parametric correlations suggest how basic geographical gradients (coastal–inland and urban–rural) have significantly influenced the demographic resilience of Greek municipalities. These findings outline two contrasting spatial patterns that reflect (i) continuous expansion of peri-urban local communities and (ii) a particularly intense rural shrinkage, linking depopulation to land abandonment and scarce accessibility of inland districts. While long-term population growth in Greece has progressively re-shaped the intrinsic divide in urban and rural areas, the traditional gap in central and peripheral districts is still reflected in the spatial polarization between the ‘demographically resilient’, socially dynamic coastal locations and the ‘demographically fragile’ inland, economically marginal places. These results indicate the persistence of a center–periphery model characterizing long-term settlement expansion in Greece, with spatial patterns delineating ‘resilient’ and ‘fragile’ districts based essentially on infrastructures, accessibility, and amenities.

Publisher

MDPI AG

Subject

Information Systems and Management,Computer Networks and Communications,Modelling and Simulation,Control and Systems Engineering,Software

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