Accessibility and Older and Foreign Populations: Exploring Local Spatial Heterogeneities across Italy

The interplay between accessibility and population change is a relatively new subject in Italian academic research. Along with social and economic factors such as regional economic prosperity, the ease of movement inside and outside an area can play a pivotal role in shaping population dynamics. This study seeks to explore the spatial distribution and spatial relationships of three indicators, including one related to real accessibility (RAI) and two others related, respectively, to the shares of the older population (SOP) and of the foreign population (SFP). An exploratory spatial data analysis is, therefore, conducted at the local level using Italian municipalities as the statistical units for the empirical analysis. Local univariate spatial autocorrelation analysis is used together with a regression analysis based on ordinary least squares (OLS) and geographically weighted regression (GWR) models. The results provide valuable insights into the local heterogeneity that characterizes the distribution of each indicator and the local relationship between them, highlighting the importance of thinking locally in quantitative social sciences.

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Publication Details

Journal
Economies
Published
2024-09-16
DOI
https://doi.org/10.3390/economies12090248
Citations
3
Primary Topic
Spatial and Panel Data Analysis
Type
article
Field-Weighted Citation Impact
3.39
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article

Accessibility and Older and Foreign Populations: Exploring Local Spatial Heterogeneities across Italy

María Carella, Massimo Armenise, Federico Benassi, Roberta Misuraca
3 citations
Economies
Spatial and Panel Data Analysis
3.39
article

Accessibility and Older and Foreign Populations: Exploring Local Spatial Heterogeneities across Italy

María Carella, Massimo Armenise, Federico Benassi, Roberta Misuraca
article en
3 citations

Abstract

The interplay between accessibility and population change is a relatively new subject in Italian academic research. Along with social and economic factors such as regional economic prosperity, the ease of movement inside and outside an area can play a pivotal role in shaping population dynamics. This study seeks to explore the spatial distribution and spatial relationships of three indicators, including one related to real accessibility (RAI) and two others related, respectively, to the shares of the older population (SOP) and of the foreign population (SFP). An exploratory spatial data analysis is, therefore, conducted at the local level using Italian municipalities as the statistical units for the empirical analysis. Local univariate spatial autocorrelation analysis is used together with a regression analysis based on ordinary least squares (OLS) and geographically weighted regression (GWR) models. The results provide valuable insights into the local heterogeneity that characterizes the distribution of each indicator and the local relationship between them, highlighting the importance of thinking locally in quantitative social sciences.

EconomiesVol. 12(9)
Istituto Nazionale di Statistica (IT), University of Bari Aldo Moro (IT), University of Naples Federico II (IT)
Openalex Percentile: Top 6%
Spatial and Panel Data Analysis
3.39
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