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  5. Spatial variability of total fertility rate and crude birth rate in a low-fertility country: Patterns and trends in regional and local scale heterogeneity across Italy, 2002–2018
 
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Spatial variability of total fertility rate and crude birth rate in a low-fertility country: Patterns and trends in regional and local scale heterogeneity across Italy, 2002–2018

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Author(s)
Salvati, Luca 
Benassi, Federico 
Miccoli, Sara 
Rabiei-Dastjerdi, Hamidreza 
Matthews, Stephen A. 
Uri
http://hdl.handle.net/10197/12631
Date Issued
November 2020
Date Available
11T14:35:32Z November 2021
Abstract
Fertility is a key process shaping long-term population dynamics. Distinctive fertility trends have characterized demographic transitions, exhibiting sequential periods of spatial convergence and divergence. This descriptive study investigates the spatiotemporal evolution of Total Fertility Rate (TFR) and Crude Birth Rate (CBR) at different geographical scales in Italy between 2002 and 2018. Descriptive statistics of the TFR and CBR values across geographical scales were computed and the associated maps were prepared for the most detailed spatial levels available; specifically, down to the municipality level. Spatial analysis at the provincial and municipality level was based on both global and local Moran's indexes. Southern Italy, a mostly disadvantaged region, was characterized by relatively stable fertility patterns; fertility then decreased following an opposite trend with respect to economic conditions. The reverse relationship was observed in Northern Italy. As such, economic expansion and recession impacted fertility more intensively in Northern Italy.
Type of Material
Journal Article
Publisher
Elsevier
Journal
Applied Geography
Volume
124
Copyright (Published Version)
2020 Elsevier
Keywords
  • Total fertility rate ...

  • Crude birth rate (CBR...

  • Spatial autocorrelati...

  • Local and regional de...

  • Italy

  • 2nd demographic trans...

  • Great recession

  • Europe

  • States

DOI
10.1016/j.apgeog.2020.102321
Language
English
Status of Item
Peer reviewed
ISSN
0143-6228
This item is made available under a Creative Commons License
https://creativecommons.org/licenses/by-nc-nd/3.0/ie/
Owning collection
Computer Science Research Collection
Scopus© citations
11
Acquisition Date
Jan 27, 2023
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777
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Acquisition Date
Jan 28, 2023
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