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

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...

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Autores principales: Alaimo, Leonardo Salvatore, Ciaschini, Clio, Mariani, Francesca, Cudlinova, Eva, Postigliola, Michele, Strangio, Donatella, Salvati, Luca
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10663467/
https://www.ncbi.nlm.nih.gov/pubmed/37989838
http://dx.doi.org/10.1038/s41598-023-46906-2
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author Alaimo, Leonardo Salvatore
Ciaschini, Clio
Mariani, Francesca
Cudlinova, Eva
Postigliola, Michele
Strangio, Donatella
Salvati, Luca
author_facet Alaimo, Leonardo Salvatore
Ciaschini, Clio
Mariani, Francesca
Cudlinova, Eva
Postigliola, Michele
Strangio, Donatella
Salvati, Luca
author_sort Alaimo, Leonardo Salvatore
collection PubMed
description 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.
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spelling pubmed-106634672023-11-21 Unraveling population trends in Italy (1921–2021) with spatial econometrics Alaimo, Leonardo Salvatore Ciaschini, Clio Mariani, Francesca Cudlinova, Eva Postigliola, Michele Strangio, Donatella Salvati, Luca Sci Rep Article 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. Nature Publishing Group UK 2023-11-21 /pmc/articles/PMC10663467/ /pubmed/37989838 http://dx.doi.org/10.1038/s41598-023-46906-2 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Alaimo, Leonardo Salvatore
Ciaschini, Clio
Mariani, Francesca
Cudlinova, Eva
Postigliola, Michele
Strangio, Donatella
Salvati, Luca
Unraveling population trends in Italy (1921–2021) with spatial econometrics
title Unraveling population trends in Italy (1921–2021) with spatial econometrics
title_full Unraveling population trends in Italy (1921–2021) with spatial econometrics
title_fullStr Unraveling population trends in Italy (1921–2021) with spatial econometrics
title_full_unstemmed Unraveling population trends in Italy (1921–2021) with spatial econometrics
title_short Unraveling population trends in Italy (1921–2021) with spatial econometrics
title_sort unraveling population trends in italy (1921–2021) with spatial econometrics
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10663467/
https://www.ncbi.nlm.nih.gov/pubmed/37989838
http://dx.doi.org/10.1038/s41598-023-46906-2
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