Migration Flows through the Lens of Human Resource Ageing

IF 1.2 Q4 BUSINESS Business Systems Research Journal Pub Date : 2022-10-01 DOI:10.2478/bsrj-2022-0024
S. Drobne, M. Bogataj
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引用次数: 3

Abstract

Abstract Background: Ageing and shrinking of the European population influence the shrinking of central places and the hinterland of cities in a spatial structure. Migration also influences the shrinking or growing of spatial units. Various factors influence migration and, thus, spatial units’ demographic, social and economic stability. The age structure of citizens in a spatial unit may change not only due to population ageing but also because these factors influence the migration flows of different cohorts differently, which has not been studied so far. Objectives: We used data on internal migration between Slovenian municipalities in 2018 and 2019 to develop a cohort-based spatial interaction model to estimate future inter-municipal migration. Approach: In a spatial interaction model, we analyzed differences in the attractiveness and stickiness of municipalities for different cohorts, focusing on those over 65 who may wish to prolong their working status. We also tried to answer the question of how to mitigate shrinkage processes in spatial units by investigating the potential to contribute to the social value of communities. Results: The study’s results show that the 65+ cohorts do not have the same preferences regarding the attractiveness and stickiness factors as younger migrants. Conclusions: The results of our study could contribute to better decisions at the national, regional, and/or local level when designing strategies for regional, urban, and/or rural development, exploring the best solutions for long-term care, and investing in appropriate networks, or considering the revitalization of rural municipalities.
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从人力资源老龄化的角度看移民流动
背景:欧洲人口的老龄化和萎缩影响着城市中心和腹地在空间结构上的萎缩。迁移还会影响空间单元的收缩或增长。各种因素影响移民,从而影响空间单位的人口、社会和经济稳定。空间单元中公民年龄结构的变化不仅是因为人口老龄化,还因为这些因素对不同人群迁移流动的影响不同,这一点迄今尚未得到研究。目的:我们使用2018年和2019年斯洛文尼亚各城市之间的内部迁移数据,开发了一个基于队列的空间相互作用模型,以估计未来的城市间迁移。方法:在空间交互模型中,我们分析了城市对不同人群的吸引力和粘性的差异,重点关注那些希望延长工作状态的65岁以上人群。我们还试图通过调查对社区的社会价值做出贡献的潜力来回答如何减轻空间单元收缩过程的问题。结果:研究结果表明,65岁以上的人群在吸引力和粘性因素方面的偏好与年轻移民不同。结论:我们的研究结果有助于在国家、区域和/或地方层面制定区域、城市和/或农村发展战略,探索长期护理的最佳解决方案,投资于适当的网络,或考虑振兴农村市政当局时做出更好的决策。
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CiteScore
3.00
自引率
6.70%
发文量
0
审稿时长
22 weeks
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