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

Author:

Kočanová Denisa,Kováč Viliam,Serzhanov Vitaliy,Buleca Ján

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.

Publisher

Technical University of Liberec

Subject

Strategy and Management,General Economics, Econometrics and Finance,Business and International Management

Reference86 articles.

1. Aguilar-Palacio, I., Gil-Lacruz, A. I., Sánchez-Recio, R., & Rabanaque, M. J. (2018). Self-rated health in Europe and its determinants: Does generation matter? International Journal of Public Health, 63, 223-232. https://doi.org/10.1007/s00038-018-1079-5

2. Antonelli, M. A., & Bonis, V. (2019). The efficiency of social public expenditure in European countries: A two-stage analysis. Applied Economics, 51(1), 47-60. https://doi.org/10.1080/00036846.2018.1489522

3. Ball, G. H., & Hall, D. J. (1965). Isodata: A novel method of data analysis and pattern classification. Stanford Research Institute.

4. Bates, D., Chambers., J., Dalgaard, P., Gentleman, R., Hornik, K., Ihaka, R., Kalibera, T., Lawrence, M., Leisch, F., Ligges, U., Lumley, T., Maechler, M., Meyer, S., Murrell, P., Plummer, M., Ripley, B., Sarkar, D., Lang, D. T., Tierney, L., Urbanek, S., Schwarte, H., Masarotto, G., Iacus, S., Falcon, S., Murdoch, D., & Morgan, M. (2022). R: Language and environment for statistical computing. R Foundation for Statistical Computing. Retrieved June 22, 2022, from https://www.R-project.org

5. Been, J., & Vliet, O. (2017). Early retirement across Europe. Does non‐standard employment increase participation of older workers? International Review for Social Sciences, 70(2), 163-188. https://doi.org/10.1111/kykl.12134

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3