The Utility of Socioeconomic and Remoteness Indicators in Understanding the Geographical Variation in the Regional Prevalence of Early Childhood Vulnerability in Australia

Bernard Baffour (), Sumonkanti Das (), Mu Li () and Alice Richardson ()
Additional contact information
Bernard Baffour: The Australian National University
Sumonkanti Das: The Australian National University
Mu Li: The Australian National University
Alice Richardson: Australian National University

Child Indicators Research, 2024, vol. 17, issue 4, No 15, 1827 pages

Abstract: Abstract The family lives of children and their early childhood development outcomes are attributable to the level of socio-economic disadvantage and relative isolation. This study aims to investigate how the disadvantage of the local area (i.e., socio-economic indexes for areas (SEIFA)) and the remoteness (i.e., accessibility/remoteness index of Australia (ARIA)) contribute to improved prevalence estimates of child development vulnerability in statistical areas level 3 (SA3) and 4 (SA4) across Australia. Data from the 2018 Australian Early Development Census (AEDC) has been used. The study included 308,953 children involved in the AEDC 2018 where one-in-ten of them were considered to be developmentally vulnerable, nationally. We developed models in a hierarchical Bayesian framework at the SA3 level using SEIFA and ARIA indices as covariates to account for spatial and unobserved heterogeneity. The performances of developed models are examined based on the consistency at SA3, SA4, and state level. The results reveal that SEIFA makes a significant contribution to explaining the spatial variation in childhood development vulnerability across small domains in Australia. Further, the inclusion of the ARIA score improves the model performance and provides better accuracy, particularly in remote and very remote regions. In these regions, the spatial model fails to distinguish the remoteness characteristics. The chosen non-spatial model accounting for heterogeneity at higher hierarchies performs best. The utilization of socio-economic disadvantage and geographic remoteness of the finer level domains helps to explain the geographic variation in child development vulnerability, particularly in sparsely populated remote regions in Australia.

Keywords: Australian Early Development Census; Developmental vulnerability; Socio-economic indexes; Remoteness of locality; Bayesian spatial model; Disaggregated statistical area (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://link.springer.com/10.1007/s12187-024-10143-4 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:chinre:v:17:y:2024:i:4:d:10.1007_s12187-024-10143-4

Ordering information: This journal article can be ordered from
http://www.springer. ... f-life/journal/12187

DOI: 10.1007/s12187-024-10143-4

Access Statistics for this article

Child Indicators Research is currently edited by Asher Ben-Arieh

More articles in Child Indicators Research from Springer, The International Society of Child Indicators (ISCI)
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().