Did COVID-19 enlarge spatial disparities in population dynamics? A comparative, multivariate approach for Italy.

Q1 Mathematics
Leonardo Salvatore Alaimo, Bogdana Nosova, Luca Salvati
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引用次数: 1

Abstract

A short-term issue that has been occasionally investigated in the current literature is if (and, eventually, how) population dynamics (directly or indirectly) driven by COVID-19 pandemic have contributed to enlarge regional divides in specific demographic processes and dimensions. To verify this assumption, our study run an exploratory multivariate analysis of ten indicators representative of different demographic phenomena (fertility, mortality, nuptiality, internal and international migration) and the related population outcomes (natural balance, migration balance, total growth). We developed a descriptive analysis of the statistical distribution of the ten demographic indicators using eight metrics that assess formation (and consolidation) of spatial divides, controlling for shifts over time in both central tendency, dispersion, and distributional shape regimes. All indicators were made available over 20 years (2002-2021) at a relatively detailed spatial scale (107 NUTS-3 provinces) in Italy. COVID-19 pandemic exerted an impact on Italian population because of intrinsic (e.g. a particularly older population age structure compared with other advanced economies) and extrinsic (e.g. the early start of the pandemic spread compared with the neighboring European countries) factors. For such reasons, Italy may represent a sort of 'worst' demographic scenario for other countries affected by COVID-19 and the results of this empirical study can be informative when delineating policy measures (with both economic and social impact) able to mitigate the effect of pandemics on demographic balance and improve the adaptation capacity of local societies to future pandemic's crises.

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新冠肺炎是否扩大了人口动态的空间差异?意大利的比较多变量方法。
当前文献中偶尔会调查的一个短期问题是,新冠肺炎大流行(直接或间接)驱动的人口动态是否(以及最终如何)扩大了特定人口过程和层面的区域差异。为了验证这一假设,我们的研究对代表不同人口现象(生育率、死亡率、婚礼、国内和国际移民)和相关人口结果(自然平衡、移民平衡、总增长)的十个指标进行了探索性多变量分析。我们使用八个指标对十个人口统计指标的统计分布进行了描述性分析,这些指标评估了空间划分的形成(和巩固),控制了中心趋势、分散和分布形态随时间的变化。所有指标都是在意大利20年(2002-2021年)内以相对详细的空间尺度(107个NUTS-3省)提供的。新冠肺炎大流行对意大利人口产生了影响,这是由于内在因素(例如,与其他发达经济体相比,人口年龄结构特别老龄化)和外在因素(例如与欧洲邻国相比,大流行开始得早)。出于这些原因,意大利可能代表了受新冠肺炎影响的其他国家的一种“最糟糕”的人口情况,当描述能够减轻流行病对人口平衡的影响并提高当地社会对未来流行病危机的适应能力的政策措施(具有经济和社会影响)时,这项实证研究的结果可以提供信息。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Quality & Quantity
Quality & Quantity 管理科学-统计学与概率论
CiteScore
4.60
自引率
0.00%
发文量
276
审稿时长
4-8 weeks
期刊介绍: Quality and Quantity constitutes a point of reference for European and non-European scholars to discuss instruments of methodology for more rigorous scientific results in the social sciences. In the era of biggish data, the journal also provides a publication venue for data scientists who are interested in proposing a new indicator to measure the latent aspects of social, cultural, and political events. Rather than leaning towards one specific methodological school, the journal publishes papers on a mixed method of quantitative and qualitative data. Furthermore, the journal’s key aim is to tackle some methodological pluralism across research cultures. In this context, the journal is open to papers addressing some general logic of empirical research and analysis of the validity and verification of social laws. Thus The journal accepts papers on science metrics and publication ethics and, their related issues affecting methodological practices among researchers. Quality and Quantity is an interdisciplinary journal which systematically correlates disciplines such as data and information sciences with the other humanities and social sciences. The journal extends discussion of interesting contributions in methodology to scholars worldwide, to promote the scientific development of social research.
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