DIFFERENCES AND SIMILARITIES IN PATTERNS OF AGEING SOCIETY IN THE EUROPEAN UNION

IF 1.4 4区 经济学 Q3 ECONOMICS
Denisa Kočanová, Viliam Kováč, Vitaliy Serzhanov, J. Buleca
{"title":"DIFFERENCES AND SIMILARITIES IN PATTERNS OF AGEING SOCIETY IN THE EUROPEAN UNION","authors":"Denisa Kočanová, Viliam Kováč, Vitaliy Serzhanov, J. Buleca","doi":"10.15240/tul/001/2023-1-003","DOIUrl":null,"url":null,"abstract":"Population ageing is a demographic issue that emphasises the need to be interested in the lives of the most vulnerable population group: the elderly population. The paper investigates the ageing process and their relations among the European Union member countries from 2009 to 2019. These countries are assessed and dispersed to the appropriate clusters according to several indicators related to the areas that affect the lives of the elderly population: namely, the health status, the labour market conditions, and financial security. The focus is on the age group 55 years and over as it is a disadvantaged age group in the job application process regarding ageing society. It is a significant aspect of public finance system. The European Union Statistics on Income and Living Conditions, the Labour Force Survey, and the European System of Integrated Social Protection Statistics data are involved. The quantitative approaches are applied in the cluster analysis and followed by the panel data linear regression analysis. The dendrograms visualise the three clusters representing the mutual relations and the ageing patterns among the explored countries. The heat maps are created to prove the potential relations among the observed countries. The panel regression model demonstrates that the three variables – part-time employment, the income inequality, and the material and social deprivation – are statistically significant in all the regression models for the whole area and the three clusters. The analytical outcome could be applied as a valuable resource to government and national representatives. It can help identify the objectionable determinants for a custom policy and implement appropriate measures to improve the situation of the elderly population.","PeriodicalId":46351,"journal":{"name":"E & M Ekonomie a Management","volume":"04 1","pages":""},"PeriodicalIF":1.4000,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"E & M Ekonomie a Management","FirstCategoryId":"96","ListUrlMain":"https://doi.org/10.15240/tul/001/2023-1-003","RegionNum":4,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ECONOMICS","Score":null,"Total":0}
引用次数: 1

Abstract

Population ageing is a demographic issue that emphasises the need to be interested in the lives of the most vulnerable population group: the elderly population. The paper investigates the ageing process and their relations among the European Union member countries from 2009 to 2019. These countries are assessed and dispersed to the appropriate clusters according to several indicators related to the areas that affect the lives of the elderly population: namely, the health status, the labour market conditions, and financial security. The focus is on the age group 55 years and over as it is a disadvantaged age group in the job application process regarding ageing society. It is a significant aspect of public finance system. The European Union Statistics on Income and Living Conditions, the Labour Force Survey, and the European System of Integrated Social Protection Statistics data are involved. The quantitative approaches are applied in the cluster analysis and followed by the panel data linear regression analysis. The dendrograms visualise the three clusters representing the mutual relations and the ageing patterns among the explored countries. The heat maps are created to prove the potential relations among the observed countries. The panel regression model demonstrates that the three variables – part-time employment, the income inequality, and the material and social deprivation – are statistically significant in all the regression models for the whole area and the three clusters. The analytical outcome could be applied as a valuable resource to government and national representatives. It can help identify the objectionable determinants for a custom policy and implement appropriate measures to improve the situation of the elderly population.
欧盟老龄化社会模式的异同
人口老龄化是一个人口问题,强调需要关注最脆弱的人口群体:老年人的生活。本文研究了2009 - 2019年欧盟成员国的老龄化进程及其关系。根据与影响老年人生活的领域有关的几个指标,即健康状况、劳动力市场状况和财政安全,对这些国家进行评估并将其分散到适当的分组中。重点是55岁及以上的年龄组,因为这是在老龄化社会求职过程中处于不利地位的年龄组。它是公共财政体系的一个重要方面。涉及欧盟收入和生活条件统计、劳动力调查和欧洲综合社会保护统计系统数据。定量方法应用于聚类分析,其次是面板数据线性回归分析。树形图显示了三个集群,代表了被勘探国家之间的相互关系和老龄化模式。绘制热图是为了证明被观察国家之间的潜在关系。面板回归模型表明,兼职就业、收入不平等、物质和社会剥夺三个变量在整个地区和三个集群的所有回归模型中都具有统计显著性。分析结果可作为政府和国家代表的宝贵资源加以应用。它可以帮助确定风俗政策的不良决定因素,并执行适当的措施来改善老年人口的状况。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
CiteScore
2.70
自引率
13.30%
发文量
35
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信