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The Economic Influence on the Healthcare System in Romania

Author

Listed:
  • Ludmila Daniela MANEA

    (Dunarea de Jos University of Galati, Romania)

  • Florina Oana VIRLANUTA

    (Dunarea de Jos University of Galati, Romania)

Abstract

Health, in a wider sense cannot be separated from economic development and quality of life. The relations between health, economy and progress are complex and coexist in a total interdependence, health being both a sine qua non condition and an effect of economic development.In this article we conducted research on identifying factors leading to increasing current expenditure on health per capita. Evidence proportion of older people in the population structure has been shown to help explain current health spending per capita.

Suggested Citation

  • Ludmila Daniela MANEA & Florina Oana VIRLANUTA, 2019. "The Economic Influence on the Healthcare System in Romania," Economics and Applied Informatics, "Dunarea de Jos" University of Galati, Faculty of Economics and Business Administration, issue 3, pages 114-119.
    • Handle: RePEc:ddj:fseeai:y:2019:i:3:p:114-119
    DOI: https://doi.org/10.35219/eai1584040963
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    References listed on IDEAS

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    1. Bellavance, Franois & Dionne, Georges & Lebeau, Martin, 2009. "The value of a statistical life: A meta-analysis with a mixed effects regression model," Journal of Health Economics, Elsevier, vol. 28(2), pages 444-464, March.
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