REVEALING AGEING REGIONS THROUGH SPATIAL PATTERNS:
THE EVIDENCE FROM TÜRKİYE
DOI:
https://doi.org/10.18055/Finis32411Abstract
The aim of this article is to reveal the spatial pattern of structural ageing at the local level in Turkey and distinguish the ageing regions by linking this pattern with the demographic dynamics that establish it. The data for the study obtained from the Turkish Statistical Institute for 2020 to represent structural ageing, general fertility rate, the proportion of very elderly population, and in-migration and out-migration levels by districts were used for this purpose. The data were analyzed with the multivariate grouping technique. As a result of the analysis, Turkey has been divided into four ageing regions with different characteristics. It was determined that structural ageing, fertility, longevity, and internal migration levels affect the character of each region in different ways and the regions were labeled in terms of ageing level. As a result, ageing regions can contribute to the development of useful regional strategies for policy and implementation programs.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2024 Finisterra
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
-
Authors are responsible for the opinions expressed in the texts submitted to Finisterra.
-
Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
-
Authors must commit to complying with the “Guidelines for article submission”, on the RCAAP platform.
-
Whenever a text may require amendments based on suggestions made by the Scientific Reviewers and/or the Executive Committee, authors must agree to accept these suggestions and implement the requested changes. If authors disagree with any of the amendments suggested, they will need to provide justifications for each individual case.
-
Reproduction of materials liable to copyright laws has been granted permission in advance.
-
Texts are original, unpublished and have not been submitted to other journals.
License URL CC Attribution-NonCommercial-NoDerivatives (BY-NC-ND)