2015
DOI: 10.1002/psp.1998
|View full text |Cite
|
Sign up to set email alerts
|

Changing Determinants of Low Fertility and Diffusion: a Spatial Analysis for Italy

Abstract: Italy is a case study in lowest-low fertility. Its internal heterogeneity is substantial and changes over time. Historically, the South had higher fertility, but in recent years it the North has become the area with the highest fertility. This paper adopts a diffusionist perspective to fertility to study the current temporal and spatial trends in Italian provincial fertility, considering indicators of secularization, female employment, migrant fertility and economic development. We make use of geographically w… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1

Citation Types

2
71
1

Year Published

2017
2017
2020
2020

Publication Types

Select...
7
1

Relationship

0
8

Authors

Journals

citations
Cited by 68 publications
(74 citation statements)
references
References 64 publications
2
71
1
Order By: Relevance
“…Over this period, we have witnessed substantial spatiotemporal variation both in the timing of the onset of increases in nonmarital childbearing and in the intensity of these increases over time (Klüsener et al, ; Perelli‐Harris et al, ; for Latin America, see Laplante, Castro‐Martín, Cortina, & Martín‐García, ). The fact that demographic changes are dependent on the compositional characteristics of populations and the prevailing contextual socioeconomic and policy conditions contributed to this spatiotemporal variation (Coale & Watkins, ; Lesthaeghe, ; Liefbroer & Billari, ; Vitali & Billari, ). It has therefore been argued that more research is needed on the question of how such aspects are shaping variation (Billari, ; Kuijsten, ).…”
Section: Introductionmentioning
confidence: 99%
“…Over this period, we have witnessed substantial spatiotemporal variation both in the timing of the onset of increases in nonmarital childbearing and in the intensity of these increases over time (Klüsener et al, ; Perelli‐Harris et al, ; for Latin America, see Laplante, Castro‐Martín, Cortina, & Martín‐García, ). The fact that demographic changes are dependent on the compositional characteristics of populations and the prevailing contextual socioeconomic and policy conditions contributed to this spatiotemporal variation (Coale & Watkins, ; Lesthaeghe, ; Liefbroer & Billari, ; Vitali & Billari, ). It has therefore been argued that more research is needed on the question of how such aspects are shaping variation (Billari, ; Kuijsten, ).…”
Section: Introductionmentioning
confidence: 99%
“…Fertility rates decreased in Italy in the period 1971–1991 at similar paces across regions (Vitali & Billari, ). Between 1991 and 2011, the trend has come to a stop, and there has been a growth of the total fertility rate by 8.7% nationally.…”
Section: Methodsmentioning
confidence: 90%
“…If the residuals showed evidence of statistically significant spatial autocorrelation, we fitted appropriate spatial autoregressive models (Anselin and Bera 1998;Duncan et al 2012;Bivand, Pebesma, and Gomez-Rubio 2013). The Lagrange Multiplier test was applied to indicate the proper specification for the data and to choose between the spatial lag and the spatial 12 Spatial lag models have been often used to study fertility change where theoretical motivation is grounded on spatial interaction, diffusion, and social influence (Montgomery and Casterline 1993;Goldstein and Klüsener 2014;Vitali and Billari 2017). Spatial error models, on the other hand, deal with spatial correlation in prediction 'errors' in terms of nuisance.…”
mentioning
confidence: 99%