Demographic aging has been one of the most discussed aspects of population development in recent decades. Complex changes in reproductive behaviour and their impact on both age structure and future population development are often the source of concerns about the stability of socioeconomic systems (e.g. pension systems, healthcare and the labour market). Frequently reinforced by the development and use of standard demographic aging indicators and comparisons over time and space and/or between populations, this one-sided view is problematic given significant changes in population mortality and health. Population aging has moreover traditionally been analysed in relation to national and regional differences, with specificities frequently being overlooked. Using new methods for analysing demographic aging based on prospective age, which accounts for changes in life expectancy over time and therefore more accurately captures demographic aging, we attempt to identify the main spatial patterns of regional differentiation in aging in Europe (at the NUTS2 level). We also attempt to create a typology of Europe’s regions using the main aging indicators and thereby identify the areas most affected by demographic aging.

中文翻译：

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通过前瞻性指标观察欧洲人口老龄化的区域差异

人口老龄化一直是近几十年来人口发展中讨论最多的方面之一。生殖行为的复杂变化及其对年龄结构和未来人口发展的影响往往是对社会经济体系（例如养老金体系、医疗保健和劳动力市场）稳定性的担忧的根源。由于标准人口老龄化指标的制定和使用以及时间和空间和/或人群之间的比较，这种片面的观点经常得到加强，鉴于人口死亡率和健康的显着变化，这种片面的观点是有问题的。此外，人口老龄化传统上是根据国家和地区差异进行分析的，而具体情况经常被忽视。使用基于预期年龄分析人口老龄化的新方法，考虑到预期寿命随时间的变化，因此更准确地捕捉人口老龄化，我们试图确定欧洲老龄化区域差异的主要空间模式（在 NUTS2 级别）。我们还尝试使用主要老龄化指标创建欧洲地区的类型，从而确定受人口老龄化影响最大的地区。