Jaroslav ล krabal – Institute of Innovation in Healthcare, Moravian Business College Olomouc, Kosmonautu 1288/1, 779 00 Olomouc, Czech Republic
Jarmila Duhรกฤek ล ebestovรก – Institute of Business Economics and Entrepreneurship, Moravian Business College Olomouc, Kosmonautu 1288/1, 779 00 Olomouc, Czech Republic
Ingrid Majerovรก – Institute of Management, Moravian Business College Olomouc, Kosmonautu 1288/1, 779 00 Olomouc, Czech Republic
Keywords:
Eurostat;
Economies;
Indicators;
Healthcare expenditure;
Correlation analysis
Abstract: The paper focuses on GDP per capita in PPS (standard purchasยญing power) in C5 countries (Czech Republic, Austria, Slovenia, Slovakia and Hungary). The basic aggregates in the comparison of the indicator include the density of population, employment per thousand persons, and expendยญiture on pensions. The period for the given comparison is from 2011 to 2021. Other comparisons of indicators that the authors made in this paper were focused in the context of health care expenditure including years of healthy life, proportion of people 65+, occupational accidents, discharge from hosยญpital, and length of stay. For this comparison, the period of 2014-2020 is takยญen into account. The data sources for the given paper are data from the Euยญrostat portal. The paper aims to perform a correlation analysis (Pearson corยญrelation coefficient) of the basic indicators related to GDP per capita accordยญing to PPS and healthcare expenditure within the C5 countries
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7th International Scientific Conference – EMAN 2023 – Economics and Management: How to Cope With Disrupted Times, Ljubljana, Slovenia, March 23, 2023, CONFERENCE PROCEEDINGS, published by: Association of Economists and Managers of the Balkans, Belgrade, Serbia; ISBN 978-86-80194-69-1, ISSN 2683-4510, DOI: https://doi.org/10.31410/EMAN.2023
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Biro, A., & Prinz, D. (2020). Healthcare spending inequality: Evidence from Hungarian adminisยญtrative data. Health Policy, 124(3), 282-290. https://doi.org/10.1016/j.healthpol.2020.01.006
Christopoulos, K., & Eleftheriou, K. (2020). The fiscal impact of health care expenditure: Evยญidence from the OECD countries. Economic Analysis and Policy, 67, 195-202. https://doi.org/10.1016/j.eap.2020.07.010
de Meijer, C., Wouterse, B., Polder, J., & Koopmanschap, M. (2013). The effect of population agยญing on health expenditure growth: a critical review. European Journal of Ageing, 10, 353- 361. https://doi.org/10.1007/s10433-013-0280-x
Eurostat. (2023). Data Browser. Retrieved February 2023, from https://ec.europa.eu/eurostat/databrowser/explore/all/general?lang=en&display=list&sort=category&extractionยญId=HLTH_SHA11_HP
Eurostat. (2023). Data Browser. Retrieved February 2023, from https://ec.europa. https://ec.europa.eu/eurostat/databrowser/explore/all/popul?lang=en&subtheme=hlth.hlth_care.hlth_sha11&display=list&sort=category&extractionId=HLTH_SHA11_HPย
Hebak, P., Hustopecky, J., Jarosova, J., & Pecakova, I. (2007). Vรญcerozmฤrnรฉ statistickรฉ metody. Praha: Informatorium. ISBN 80-7333-056-9.
Hendl, J. (2004). Pลehled statistickรฝch metod zpracovรกnรญ dat. Praha: Portรกl. ISBN 80-7178-820-1.
Yang, Z., Norton, E. C., & Stearns, S. C. (2003). Longevity and Health Care Expenditures: The Real Reasons Older People Spend More. The Journals of Gerontology, 58(1), 2-10. https://doi.org/10.1093/geronb/58.1.S2ย ย
Zweifel, P., Felder, S., & Werblow, A. (2004). Population Ageing and Health Care Expenditure: New Evidence on the โRed Herringโ. Geneva Pap Risk Insur Issues Pract, 29, 652-666. https://doi.org/10.1111/j.1468-0440.2004.00308.xย