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

dc.contributor.authorKočanová, Denisa
dc.contributor.authorKováč, Viliam
dc.contributor.authorSerzhanov, Vitaliy
dc.contributor.authorBuleca, Ján
dc.contributor.otherEkonomická fakultacs
dc.date.accessioned2023-03-01T08:42:11Z
dc.date.available2023-03-01T08:42:11Z
dc.description.abstractPopulation 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.en
dc.formattext
dc.identifier.doi10.15240/tul/001/2023-1-003
dc.identifier.eissn2336-5604
dc.identifier.issn1212-3609
dc.identifier.urihttps://dspace.tul.cz/handle/15240/167099
dc.language.isoen
dc.publisherTechnická Univerzita v Libercics
dc.publisherTechnical university of Liberec, Czech Republicen
dc.publisher.abbreviationTUL
dc.relation.isbasedonAguilar-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
dc.relation.isbasedonAntonelli, 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
dc.relation.isbasedonBall, G. H., & Hall, D. J. (1965). Isodata: A novel method of data analysis and pattern classification. Stanford Research Institute.
dc.relation.isbasedonBates, 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
dc.relation.isbasedonBeen, 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
dc.relation.isbasedonBest, R., & Hill, P. (2020). What is the purpose of retiring? Innovation in Aging, 4(1), 442. https://doi.org/10.1093/geroni/igaa057.1430
dc.relation.isbasedonBornet, M., Truhard, E. R., Rochat, E., Pasquier, J., & Monod, S. (2017). Factors associated with quality of life in elderly hospitalized patients undergoing post-acute rehabilitation: A cross-sectional analytical study in Switzerland. BMJ Open, 7, 1–8. https://doi.org/10.1136/bmjopen-2017-018600
dc.relation.isbasedonBroniatowska, P. (2019). Population ageing and inflation. Journal of Population Ageing, 12, 179–193. https://doi.org/10.1007/s12062-017-9209-z
dc.relation.isbasedonBrønnum-Hansen, H., Foverskov, E., & Andersen, I. (2021). Income inequality in life expectancy and disability-free life expectancy in Denmark. Journal of Epidemiology and Community Health, 75, 145–150. https://doi.org/10.1136/jech-2020-214108
dc.relation.isbasedonCharrad, M., Ghazzali, N., Boiteau, V., & Niknafs, A. (2014). NbClust: An R package for determining the relevant number of clusters in a data set. Journal of Statistical Software, 61(6), 1–36. https://doi.org/10.18637/jss.v061.i06
dc.relation.isbasedonColeman, D., & Rowthorn, R. (2011). Who’s afraid of population decline? A critical examination of its consequences. Population and Development Review, 37(s1), 217–248. https://doi.org/10.1111/j.1728-4457.2011.00385.x
dc.relation.isbasedonCourbage, C. H., Montoliu-Montes, G., & Wagner, J. (2020). The effect of long-term care public benefits and insurance on informal care from outside the household: Empirical evidence from Italy and Spain. The European Journal of Health Economics, 21, 1131–1147. https://doi.org/10.1007/s10198-020-01215-7
dc.relation.isbasedonCristea, M., Noja, G. G., Stefea, P., & Sala, A. L. (2020). The impact of population aging and public health support on EU labor markets. International Journal of Environmental Research and Public Health, 17(4), 1439–1466. https://doi.org/10.3390/ijerph17041439
dc.relation.isbasedonCroissant, Y., & Millo, G. (2008). Panel data econometrics in R: The plm package. Journal of Statistical Software, 27(2), 1–43. https://doi.org/10.18637/jss.v027.i02
dc.relation.isbasedonCroissant, Y., Millo, G., Tappe, K., Toomet, O., Kleiber, C., Zeileis, A., Henningsen, A., Andronic, L., & Schoenfelder, N. (2017). Package plm. R Foundation for Statistical Computing. Retrieved June 22, 2022, from https://cran.r-project.org/web/packages/plm/plm.pdf
dc.relation.isbasedonDurbin, J., & Watson, G. S. (1951). Testing for serial correlation in the least squares regression. II. Biometrika, 38(1–2), 159–178. https://doi.org/10.1093/biomet/38.1-2.159
dc.relation.isbasedonEbbinghaus, B. (2021). Inequalities and poverty risks in old age across Europe: The double‐edged income effect of pension systems. Social Policy & Administration, 55(3), 440–455. https://doi.org/10.1111/spol.12683
dc.relation.isbasedonEstevens, J. (2018). Migration crisis in the EU: Developing a framework for analysis of national security and defence strategies. Comparative Migration Studies, 6, 28. https://doi.org/10.1186/s40878-018-0093-3
dc.relation.isbasedonEurostat. (2021a). Closing the gender pay gap? European Commission – Eurostat. Retrieved June 22, 2022, from https://ec.europa.eu/eurostat/en/web/products-eurostat-news/-/DDN-20210203-1
dc.relation.isbasedonEurostat. (2021b). Employment rate of older workers, age group 55–64. European Commission – Eurostat. Retrieved June 22, 2022, from https://ec.europa.eu/eurostat/databrowser/view/tesem050/default/table?lang=en
dc.relation.isbasedonEurostat. (2021c). Persons employed part-time: Total. European Commission – Eurostat. Retrieved June 22, 2022, from https://ec.europa.eu/eurostat/databrowser/view/tps00159/default/table?lang=en
dc.relation.isbasedonEurostat. (2021d). Average number of usual weekly hours of work in the main job by sex, age and NUTS 2 regions (hours). European Commission – Eurostat. Retrieved June 22, 2022, from https://ec.europa.eu/eurostat/databrowser/view/lfst_r_lfe2ehour/default/table?lang=en
dc.relation.isbasedonEurostat. (2021e). Life expectancy at 65, by sex. European Commission – Eurostat. Retrieved June 22, 2022, from https://ec.europa.eu/eurostat/databrowser/view/tps00026/default/table?lang=en
dc.relation.isbasedonEurostat. (2021f). Healthy life years at age 65 by sex. European Commission – Eurostat. Retrieved June 22, 2022, from https://ec.europa.eu/eurostat/databrowser/view/tepsr_sp320/default/table?lang=en
dc.relation.isbasedonEurostat. (2021g). Self-perceived health by sex, age and income quintile. European Commission – Eurostat. Retrieved June 22, 2022, from https://ec.europa.eu/eurostat/databrowser/view/hlth_silc_10/default/table?lang=en
dc.relation.isbasedonEurostat. (2021h). Self-perceived long-standing limitations in usual activities due to health problem by sex, age and income quintile. European Commission – Eurostat. Retrieved June 22, 2022, from https://ec.europa.eu/eurostat/databrowser/view/hlth_silc_12/default/table?lang=en
dc.relation.isbasedonEurostat. (2021i). Mean and median income before social transfers (pensions included in social transfers) by age and sex. European Commission – Eurostat. Retrieved June 22, 2022, from https://ec.europa.eu/eurostat/databrowser/view/ILC_DI13__custom_545861/default/table?lang=en
dc.relation.isbasedonEurostat. (2021j). Expenditure on social protection per inhabitant. European Commission – Eurostat. Retrieved June 22, 2022, from https://ec.europa.eu/eurostat/databrowser/view/tps00100/default/table?lang=en
dc.relation.isbasedonEurostat. (2021k). Income inequality for older people. European Commission – Eurostat. Retrieved June 22, 2022, from https://ec.europa.eu/eurostat/databrowser/view/tespn080/default/table?lang=en
dc.relation.isbasedonEurostat. (2021l). People at risk of poverty or social exclusion by age and sex – EU 2020 strategy. European Commission – Eurostat. Retrieved June 22, 2022, from https://ec.europa.eu/eurostat/databrowser/view/ilc_peps01$DV_565/default/table?lang=en
dc.relation.isbasedonEurostat. (2021m). Material and social deprivation rate by age and sex. European Commission – Eurostat. Retrieved June 22, 2022, from https://ec.europa.eu/eurostat/databrowser/view/ilc_mdsd07/default/table?lang=en
dc.relation.isbasedonEurostat. (2021n). Old-age-dependency ratio. European Commission – Eurostat. Retrieved June 22, 2022, from https://ec.europa.eu/eurostat/databrowser/view/tps00198/default/table?lang=en
dc.relation.isbasedonFukuda, S., & Okumura, K. (2020). Regional convergence under declining population: The case of Japan. Japan and the World Economy, 55, 101023. https://doi.org/10.1016/j.japwor.2020.101023
dc.relation.isbasedonGiang, L. T., Nguyen, T. T., & Nguyen, N. T. (2020). Social support and self-rated health among older men and women in Vietnam. Journal of Population Ageing, 13, 427–442. https://doi.org/10.1007/s12062-020-09283-6
dc.relation.isbasedonGómez-Costilla, P., García-Prieto, C., & Somarriba-Arechavala, N. (2021). Aging and gender health gap: A multilevel analysis for 17 European countries. Social Indicators Research, (160), 1051–1069. https://doi.org/10.1007/s11205-020-02595-2
dc.relation.isbasedonGrannis, S. J., Xu, H., Vest, J. R., Kasthurirathne, S., Bo, N., Moscovitch, B., Torkzadeh, R., & Rising, J. (2019). Evaluating the effect of data standardization and validation on patient matching accuracy. Journal of the American Medical Informatics Association, 26(5), 447–456. https://doi.org/10.1093/jamia/ocy191
dc.relation.isbasedonGuido, G., Amatulli, C., & Sestino, A. (2020). Elderly consumers and financial choices: A systematic review. Journal of Financial Services Marketing, 25, 76–85. https://doi.org/10.1057/s41264-020-00077-7
dc.relation.isbasedonHeuvel, W., & Olaroiu, M. (2017). How important are health care expenditures for life expectancy? A comparative, European analysis. Journal of the American Medical Directors Association, 18(3), 276.e9-276.e12. https://doi.org/10.1016/j.jamda.2016.11.027
dc.relation.isbasedonInternational Organization for Standardization. (2013). International standard for country codes and codes for their subdivisions. International Organization for Standardization 3166. Retrieved June 22, 2022, from https://www.iso.org/obp/ui/#iso:std:iso:3166:-1:ed-3:v1:en,fr
dc.relation.isbasedonJakovljevic, M. M., Netz, Y., Buttigieg, S. C., Adany, R., Laaser, U., & Varjacic, M. (2018). Population ageing and migration-history and UN forecasts in the EU-28 and its east and south near neighbourhood-one century perspective 1950–2050. Globalization and Health, 14, 30. https://doi.org/10.1186/s12992-018-0348-7
dc.relation.isbasedonJanus, J., Bożek, P., Taszakowski, J., & Doroż, A. (2022). Decaying villages in the centre of Europe with no population decline: Long-term analysis using historical aerial images and remote sensing data. Habitat International, 121, 102520. https://doi.org/10.1016/j.habitatint.2022.102520
dc.relation.isbasedonKhan, H. (2019). Population ageing in a globalized world: Risk and dilemmas? Journal of Evaluation in Clinical Practice, 25(5), 754–760. https://doi.org/10.1111/jep.13071
dc.relation.isbasedonKikuchi, H., Emberger, G., Ishida, H., Fukuda, A., & Kobayakawa, S. (2022). Dynamic simulations of compact city development to counter future population decline. Cities, 127, 103753. https://doi.org/10.1016/j.cities.2022.103753
dc.relation.isbasedonKluge, F. A., Goldstein, J. R., & Vogt, T. C. (2019). Transfers in an ageing European Union. The Journal of the Economics of Ageing, 13, 45–54. https://doi.org/10.1016/j.jeoa.2018.07.004
dc.relation.isbasedonKratt, O., & Kirnos, I. (2020). Cross-national analysis of the older workers’ employment rate. SHS Web of Conferences, 73, 01014. https://doi.org/10.1051/shsconf/20207301014
dc.relation.isbasedonLaun, L. (2017). The effect of age-targeted tax credits on labour force participation of older workers. Journal of Public Economics, 152, 102–118. https://doi.org/10.1016/j.jpubeco.2017.06.005
dc.relation.isbasedonLe, D. D., Leon-Gonzalez, R., & Giang, T. L. (2020). Decomposing gender inequality in functional disability among older people in Vietnam. Archives of Gerontology and Geriatrics, 87, 56–68. https://doi.org/10.1016/j.archger.2019.103989
dc.relation.isbasedonLeeuwen, K., Loon, M., Nes, F., Bosmans, J., Vet, H., Ket, J., Widdershoven, G., & Ostelo, R. (2019). What does quality of life mean to older adults? A thematic synthesis. PLoS ONE, 14(3), 1–39. https://doi.org/10.1371/journal.pone.0213263
dc.relation.isbasedonLi, L., Du, T., & Hu, Y. (2020). The effect of population aging on healthcare expenditure from a healthcare demand perspective among different age groups: Evidence from Beijing city in the People’s Republic of China. Risk Management and Healthcare Policy, 13, 1403–1412. https://doi.org/10.2147/RMHP.S271289
dc.relation.isbasedonLiu, J., Wei, W., Peng, Q., & Xue, C. (2019). Perceived health and life satisfaction of elderly people: Testing the moderating effects of social support, attitudes toward aging, and senior privilege. Journal of Geriatric Psychiatry and Neurology, 33(3), 144–154. https://doi.org/10.1177/0891988719866926
dc.relation.isbasedonLoichinger, E., & Pothisiri, W. (2018). Health prospects of older persons in Thailand: The role of education. Asian Population Studies, 14(3), 310-329. https://doi.org/10.1080/17441730.2018.1532140
dc.relation.isbasedonLutz, W., Amran, G., Belanger, A., Conte, A., Gailey, N., Ghio, D., Grapsa, E., Jensen, K., Loichinger, E., Marois, G., Muttarak, R., Potancokova, M., Sabourin, P., & Stonawski, M. (2019). Demographic scenarios for the EU: Migration, population and education. Publications Office of the European Union.
dc.relation.isbasedonLyons, A. C., Grable, J. E., & Joo, S.-H. (2018). A cross-country analysis of population ageing and financial security. The Journal of the Economics of Ageing, 12, 96–117. https://doi.org/10.1016/j.jeoa.2018.03.001
dc.relation.isbasedonMarois, G., Bélanger, A., & Lutz, W. (2020). Population aging, migration, and productivity in Europe. Proceedings of the National Academy of Sciences, 117(14), 7690–7695. https://doi.org/10.1073/pnas.1918988117
dc.relation.isbasedonMarsillas, S., De Donder, L., Kardol, T., Regenmortel, S., Dury, S., Brosens, D., Smetcoren, A.-S., Brana, T., & Varela, J. (2017). Does active ageing contribute to life satisfaction for older people? Testing a new model of active ageing. European Journal of Ageing, 14, 295–310. https://doi.org/10.1007/s10433-017-0413-8
dc.relation.isbasedonMcClain, J. O., & Rao, V. R. (1975). Clustisz: A program to test for the quality of clustering of a set of objects. Journal of Marketing Research, 12(4), 456–460. https://www.jstor.org/stable/3151097
dc.relation.isbasedonMichnevic, K. (2016). The effects of ageing on household consumption in Central and Eastern Europe. Economy & Business, 10, 273–287.
dc.relation.isbasedonMilanez, A. (2020). Workforce ageing and labour productivity dynamics. Our Economy, 66(3), 1–13. https://doi.org/10.2478/ngoe-2020-0013
dc.relation.isbasedonMilligan, G. W. (1981). A Monte Carlo study of thirty internal criterion measures for cluster analysis. Psychometrika, 46, 187–199. https://doi.org/10.1007/BF02293899
dc.relation.isbasedonMoen, P. (2020). Is working longer the solution to an ageing society? Innovation in Aging, 4(S1), 809–810. https://doi.org/10.1093/geroni/igaa057.2937
dc.relation.isbasedonMura, L., Gontkovicova, B., Dulova Spisakova, E., & Hajduova, Z. (2019). Position of employee benefits in remuneration structure. Transformations in Business & Economics, 18(2), 156–173.
dc.relation.isbasedonNeuwirth, E. (2015). Package “RColorBrewer”. Retrieved June 22, 2022, from https://cran.r-project.org/web/packages/RColorBrewer/RColorBrewer.pdf
dc.relation.isbasedonOrganisation for Economic Co-operation and Development. (2019). Fiscal challenges and inclusive growth in ageing societies. Organisation for Economic Co-operation and Development Economic Policy Papers, 27, 1–70. https://doi.org/10.1787/c553d8d2-en
dc.relation.isbasedonOfficer, A., Thiyagarajan, J. A., Schneiders, M. L., Nash, P., & Fuente-Núñez, V. (2020). Ageism, healthy life expectancy and population ageing: How are they related? International Journal of Environmental Research and Public Health, 17(9), 3159–3170. https://doi.org/10.3390/ijerph17093159
dc.relation.isbasedonOkely, J., Weiss, A., & Gale, C. (2018). The interaction between individualism and wellbeing in predicting mortality: Survey of health ageing and retirement in Europe. Journal of Behavioral Medicine, 41, 1–11. https://doi.org/10.1007/s10865-017-9871-x
dc.relation.isbasedonOrtega, J. (2020). Is active ageing coping with population ageing? Journal of Population Ageing, 14, 37–52. https://doi.org/10.1007/s12062-020-09265-8
dc.relation.isbasedonPark, C.-Y., Shin, K., & Kikkawa, A. (2022). Demographic change, technological advance, and growth: A cross-country analysis. Economic Modelling, 108, 105742. https://doi.org/10.1016/j.econmod.2021.105742
dc.relation.isbasedonPascual-Saez, M., Cantarero-Prieto, D., & Pires Manso, J. R. (2020). Does population ageing affect savings in Europe? Journal of Policy Modelling, 42(2), 291–306. https://doi.org/10.1016/j.jpolmod.2019.07.009
dc.relation.isbasedonQuattrociocchi, L., Tibaldi, M., Marsili, M., Fenga, L., & Caputi, M. (2020). Active ageing and living condition of older persons across Italian regions. Journal of Population Ageing, 14, 91–136. https://doi.org/10.1007/s12062-020-09309-z
dc.relation.isbasedonRay, J., Popli, G., & Fell, G. (2018). Association of cognition and age-related hearing impairment in the English longitudinal study of ageing. JAMA Otolaryngol Head & Neck Surgery, 144(10), 876–882. https://doi.org/10.1001/jamaoto.2018.1656
dc.relation.isbasedonR Core Team. (2022). R: A language and environment for statistical computing. R Foundation for Statistical Computing. https://www.R-project.org/
dc.relation.isbasedonRupeika-Apoga, R., & Thalassinos, Y. E. (2019). The impact of population ageing and social stratification: The case of Latvia. International Journal of Economics & Business Administration, 7(1), 49–63. https://doi.org/10.35808/ijeba/195
dc.relation.isbasedonSala, L. A. (2020). The relationship between population ageing and medical expenditures in Romania. Facta Univer itatis, 17(2), 157–172. https://doi.org/10.22190/FUEO191223012S
dc.relation.isbasedonSanderson, W. C., & Scherbov, S. (2015). Are we overly dependent on conventional dependency ratios? Population and Development Review, 41(4), 687–708. https://doi.org/10.1111/j.1728-4457.2015.00091.x
dc.relation.isbasedonSanderson, W. C., & Scherbov, S. (2016). A new perspective on patterns of aging in Europe by education and gender. Journal of Population Ageing, 9, 207–225. https://doi.org/10.1007/s12062-015-9125-z
dc.relation.isbasedonSewdas, R., Wind, A., Zwaan, L., Borg, W., Steenbeek, R., Beek, A., & Boot, C. (2017). Why older workers work beyond the retirement age: A qualitative study. BMC Public Health, 17, 672. https://doi.org/10.1186/s12889-017-4675-z
dc.relation.isbasedonShapiro, S. S., & Wilk, M. B. (1965). An analysis of variance test for normality (complete samples). Biometrika, 52(3–4), 591–611. https://doi.org/10.1093/biomet/52.3-4.591
dc.relation.isbasedonSkibiński, A. (2017). The changes of the population structure and its consequences in selected EU countries: Some aspects. European Journal of Sustainable Development, 6(1), 357–368. https://doi.org/10.14207/ejsd.2017.v6n1p357
dc.relation.isbasedonSoong, J. J. (2020). Empowering the elderly to promote active ageing in the labour market: A new strategic scheme to improve ageing human resource and to solve shortage of labour force in Taiwan. Jebat: Malaysian Journal of History, Politics & Strategic Studies, 47(1), 198–224.
dc.relation.isbasedonStriessnig, E., & Lutz, W. (2013). Can below-replacement fertility be desirable? Empirica, 40, 409–425. https://doi.org/10.1007/s10663-013-9213-3
dc.relation.isbasedonThalassinos, E. I., Cristea, M., & Noja, G. G. (2019). Measuring active ageing within the European Union. Equilibrium, 14(4), 591–609. https://doi.org/10.24136/eq.2019.028
dc.relation.isbasedonTomassini, C., & Lamura, G. (2009). Population ageing in Italy and Southern Europe. International Handbook of Population Aging, 1, 69–89. https://doi.org/10.1007/978-1-4020-8356-3_4
dc.relation.isbasedonUnited Nations. (2019a). Active ageing index analytical report. Retrieved June 22, 2022, from https://unece.org/population/publications/active-ageing-index-analytical-report
dc.relation.isbasedonUnited Nations. (2019b). World population ageing 2019: Highlights. Department of Economic and Social Affairs, Population Division. https://un.org/en/development/desa/population/publications/pdf/ageing/WorldPopulationAgeing2019-Highlights.pdf
dc.relation.isbasedonWhite, H. (1980). A heteroskedasticity-consistent covariance matrix estimator and a direct test for heteroskedasticity. Econometrica, 48(4), 817–838. https://doi.org/10.2307/1912934
dc.relation.isbasedonWilliamson, B., & Piattoeva, N. (2018). Objectivity as standardization in data-scientific education policy, technology and governance. Learning, Media and Technology, 44(1), 64–76. https://doi.org/10.1080/17439884.2018.1556215
dc.relation.isbasedonWorld Health Organization. (2020). Decade of healthy ageing: Baseline report. https://who.int/publications-detail-redirect/9789240017900
dc.relation.ispartofEkonomie a Managementcs
dc.relation.ispartofEconomics and Managementen
dc.relation.isrefereedtrue
dc.rightsCC BY-NC
dc.subjectageingen
dc.subjectlife expectancyen
dc.subjectcluster analysisen
dc.subjectregression analysisen
dc.subjectEuropean Unionen
dc.subject.classificationC33
dc.subject.classificationI14
dc.subject.classificationJ14
dc.titleDIFFERENCES AND SIMILARITIES IN PATTERNS OF AGEING SOCIETY IN THE EUROPEAN UNIONen
dc.typeArticleen
local.accessopen
local.citation.epage64
local.citation.spage45
local.facultyFaculty of Economics
local.filenameEM_1_2023_3
local.fulltextyes
local.relation.abbreviationE+Mcs
local.relation.abbreviationE&Men
local.relation.issue1
local.relation.volume26
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