Gonzalez-Leonardo, Miguel, Newsham, Niall and Rowe, Francisco 
ORCID: 0000-0003-4137-0246
(2023)
Understanding Population Decline Trajectories in Spain using Sequence Analysis.
GEOGRAPHICAL ANALYSIS, 55 (4).
pp. 495-516.
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Geographical Analysis - 2023 - Gonz lez%E2%80%90Leonardo - Understanding Population Decline Trajectories in Spain using Sequence.pdf - Open Access published version Download (3MB) | Preview |
Abstract
<jats:p>Population decline is a key contemporary demographic challenge. Previous work has measured the national extent of population decline, and we know that it is more acute in Japan and Eastern Europe and is set to accelerate across many industrialized countries. Yet, little is known about the population trajectories leading to current trends of depopulation and their underpinning demographic and contextual factors. To address this gap, we aim to identify and characterize the different trajectories of depopulation in Spain from 2000 to 2020 at the small area level using sequence analysis, spatial autocorrelation analysis, decomposition techniques, and multinomial logistic modeling. We show that while Spain recorded an overall 17.2% national population growth between 2000 and 2020, 63% of municipalities experienced depopulation. We identify six trajectories of population decline, with a well‐defined northwest‐south divide. These trajectories include mostly rural municipalities, but also certain small‐ and medium‐sized cities. Natural decline comprises the main demographic component underpinning differences in the extent of depopulation across trajectories, and international migration plays an important role in explaining transitions to decline since the financial crisis of 2008. Small and old populations, and, to a lesser extent, remoteness from cities are key features characterizing areas of high decline.</jats:p>
| Item Type: | Article |
|---|---|
| Divisions: | Faculty of Science and Engineering > School of Environmental Sciences |
| Depositing User: | Symplectic Admin |
| Date Deposited: | 12 May 2023 15:11 |
| Last Modified: | 20 Oct 2023 07:52 |
| DOI: | 10.1111/gean.12357 |
| Related URLs: | |
| URI: | https://livrepository.liverpool.ac.uk/id/eprint/3170235 |
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