Depopulation and the Aging Population: The Relationship in Italian Municipalities

Depopulation and the Aging Population: The Relationship in Italian Municipalities
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人口减少与人口老龄化:意大利城市的关系

DOI:
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发表时间:
2018
期刊:
影响因子:
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通讯作者:
S. Miccoli
S. Miccoli
中科院分区:
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文献类型:
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作者:
C. Reynaud;S. Miccoli

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在欧洲国家,许多领土已经经历并仍在经历人口减少,这是由于出生人数相对于死亡人数不足,净移民人数为负,或两者兼而有之。与此同时,许多这些领土还面临着人口老龄化进程,这是由于出生率下降和寿命延长造成的。人口减少和人口老龄化进程密切相关。本研究旨在探讨人口减少与人口老龄化之间的关系以及这两种现象的可持续性。我们研究了1951-2011年期间意大利领土上的这些现象。这项研究是利用意大利各城市的人口普查数据进行的。计算了人口减少与人口老龄化指标之间的相关系数,以探讨两者之间的关系。应用回归模型,以了解人口老龄化是否与人口变化有关。最后,深入审查了人口持续减少的城市。我们的研究结果表明,强烈的人口减少趋势导致了随后的人口老龄化水平,但最近的人口老龄化也导致了持续的人口减少,形成了一个恶性循环。长期的人口减少和持续的人口老龄化在不久的将来似乎是不可持续的。
In European countries, many territories have experienced and are still experiencing a depopulation, caused by a deficit of births relative to deaths, a negative net migration, or both. At the same time, many of these territories are also facing the population aging process, caused by a decrease in births and prolonged rise in longevity. Depopulation and the population aging processes are strongly connected. The aim of this work is to study the relationship between depopulation and the aging population and the sustainability of the two phenomena. We studied these phenomena in the Italian territories in the period of 1951–2011. The study was conducted by using the census data of the Italian municipalities. The correlation coefficient between depopulation and aging population indicators was calculated in order to investigate the relationship between the two phenomena. A regression model was applied in order to understand if population aging is linked to population variation. Finally, the municipalities, which experienced continuing depopulation, are examined in depth. Our results show that a strong depopulation trend contributed to subsequent levels of population aging, but recent population aging has also contributed to ongoing depopulation, creating a vicious circle. Long-term depopulation and continuing population aging does not seem to be sustainable in the near future.
DOI: 10.1109/ojcas.2023.3259233
发表时间: 2023
影响因子: 2.6
作者:
Das, Diptashree;Xu, Ziyue;Nasrollahpour, Mehdi;Martos-Repath, Isabel;Zaeimbashi, Mohsen;Khalifa, Adam;Mittal, Ankit;Cash, Sydney S.;Sun, Nian X.;Shrivastava, Aatmesh;Onabajo, Marvin
通讯作者: Onabajo, Marvin