Unraveling population trends in Italy (1921-2021) with spatial econometrics.


Journal

Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288

Informations de publication

Date de publication:
21 Nov 2023
Historique:
received: 09 05 2023
accepted: 07 11 2023
medline: 22 11 2023
pubmed: 22 11 2023
entrez: 21 11 2023
Statut: epublish

Résumé

Testing density-dependence and path-dependence in long-term population dynamics under differentiated local contexts contributes to delineate the changing role of socioeconomic forces at the base of regional disparities. Despite a millenary settlement history, such issue has been rarely investigated in Europe, and especially in highly divided countries such as those in the Mediterranean region. Using econometric modeling to manage spatial heterogeneity, our study verifies the role of selected drivers of population growth at ten times between 1921 and 2021 in more than 8000 Italian municipalities verifying density-dependent and path-dependent dynamics. Results of global and quantile (spatial) regressions highlight a differential impact of density and (lagged) population growth on demographic dynamics along the urban cycle in Italy. Being weakly significant in the inter-war period (1921-1951), econometric models totalized a high goodness-of-fit in correspondence with compact urbanization (1951-1981). Model's fit declined in the following decades (1981-2021) reflecting suburbanization and counter-urbanization. Density-dependence and path-dependence were found significant and, respectively, positive or negative, with compact urbanization, and much less intense with suburbanization and counter-urbanization. A spatial econometric investigation of density-dependent and path-dependent mechanisms of population dynamics provided an original explanation of metropolitan cycles, delineating the evolution of socioeconomic (local) systems along the urban-rural gradient.

Identifiants

pubmed: 37989838
doi: 10.1038/s41598-023-46906-2
pii: 10.1038/s41598-023-46906-2
pmc: PMC10663467
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

20358

Informations de copyright

© 2023. The Author(s).

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Auteurs

Leonardo Salvatore Alaimo (LS)

Department of Social Sciences and Economics, Sapienza University of Rome, Piazzale Aldo Moro 5, 00185, Rome, Italy. leonardo.alaimo@uniroma1.it.

Clio Ciaschini (C)

Department of Social and Economic Sciences, Polytechnic University of Marche, Piazzale C. Martelli 8, 60121, Ancona, Italy.

Francesca Mariani (F)

Department of Social and Economic Sciences, Polytechnic University of Marche, Piazzale C. Martelli 8, 60121, Ancona, Italy.

Eva Cudlinova (E)

Department of Economics, University of South Bohemia, Branišovská 1645/31A, České Budějovice 2, 370 05, Ceske Budejovice, Czech Republic.

Michele Postigliola (M)

Department of Methods and Models for Economics, Territory and Finance, Faculty of Economics, Sapienza University of Rome, Via del Castro Laurenziano 9, 00161, Rome, Italy. michele.postigliola@uniroma1.it.

Donatella Strangio (D)

Department of Methods and Models for Economics, Territory and Finance, Faculty of Economics, Sapienza University of Rome, Via del Castro Laurenziano 9, 00161, Rome, Italy. donatella.strangio@uniroma1.it.

Luca Salvati (L)

Department of Methods and Models for Economics, Territory and Finance, Faculty of Economics, Sapienza University of Rome, Via del Castro Laurenziano 9, 00161, Rome, Italy. luca.salvati@uniroma1.it.

Classifications MeSH