Local population changes as a spatial varying multiscale process

The Italian case

Bibliographic Data

ID6151306
AuthorsFederico Benassi (0000-0002-8861-9996), Massimo Mucciardi (0000-0003-1216-4937), Gerardo Gallo (0000-0002-6659-6164)
Year2023
Volume9
Issue1
Pages393-393
Publication date2023-02-27
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueInternational Journal of Population Studies (JOURNAL)
Journal identifiersISSN: 2424-8606 • E-ISSN: 2424-8150
PublisherAccScience Publishing (PUBLISHER • SG)
DOI10.36922/ijps.393
OpenAlexW4322500777
LanguageEN
Citations received2

The population dynamics in Italy show a strong spatial heterogeneity within a framework of persistent demographic territorial disparities. From a local point of view, it is necessary to understand what demographic determinants govern this process. In the paper, we model the population change according to a local (i.e., spatial varying coefficients) multiscale approach. To this aim, local demographic growth rates of each Italian municipality for the period 2011 – 2019 were estimated and modeled by means of a classic a-spatial global model (i.e., ordinary least-square), and a multiscale geographically weighted regression. The multiscale dimensions of local population changes are therefore analyzed by means of three sub-dimensions: Level of influence, scalability, and specificity. The results show that the determinants of local population changes are not spatially constant and that they vary in their effect at different geographical scales

Econometrics · Economic geography · Geography · Population · Spatial ecology · Statistics · Demography · Land Use and Ecosystem Services · Mathematics · Regional Economics and Spatial Analysis · Spatial and Panel Data Analysis

Tools

Open DOIOpen Access