IDEAS home Printed from https://ideas.repec.org/a/scm/ejafbu/v11y2023i1p139-146.html
   My bibliography  Save this article

Optimising Expenditure In Hospital Units

Author

Listed:
  • Sorinel ToderaÅŸ Siretean

    (Stefan cel Mare University, Suceava, Romania)

  • Veronica Grosu

    (Stefan cel Mare University, Suceava, Romania)

  • Anamaria-Geanina Macovei

    (Stefan cel Mare University, Suceava, Romania)

  • Simona Maria Brînzaru

    (Stefan cel Mare University, Suceava, Romania)

Abstract

In today's healthcare context, effective management of hospital units is essential for controlling expenditure and ensuring the quality of healthcare services. The study explores how management practices influence the evolution of hospital expenditure, examining resource allocation strategies and the impact of technology and health policies on financial efficiency. The aim is to provide insights into the efficient use of scarce resources, thereby contributing to improving the quality of hospital care in a changing economic and social environment.

Suggested Citation

  • Sorinel ToderaÅŸ Siretean & Veronica Grosu & Anamaria-Geanina Macovei & Simona Maria Brînzaru, 2023. "Optimising Expenditure In Hospital Units," European Journal of Accounting, Finance & Business, "Stefan cel Mare" University of Suceava, Romania - Faculty of Economics and Public Administration, West University of Timisoara, Romania - Faculty of Economics and Business Administration, vol. 11(1), pages 139-146, February.
    • Handle: RePEc:scm:ejafbu:v:11:y:2023:i:1:p:139-146
    as

    Download full text from publisher

    File URL: http://www.accounting-management.ro/getpdf.php?paperid=31_18
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Matteo Lippi Bruni & Irene Mammi, 2017. "Spatial effects in hospital expenditures: A district level analysis," Health Economics, John Wiley & Sons, Ltd., vol. 26(S2), pages 63-77, September.
    2. Dahlgren, Eric & Leung, Tim, 2015. "An optimal multiple stopping approach to infrastructure investment decisions," Journal of Economic Dynamics and Control, Elsevier, vol. 53(C), pages 251-267.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Lippi Bruni, Matteo & Ugolini, Cristina & Verzulli, Rossella, 2021. "Should I wait or should I go? Travelling versus waiting for better healthcare," Regional Science and Urban Economics, Elsevier, vol. 89(C).
    2. Carol Alexander & Xi Chen, 2021. "Model risk in real option valuation," Annals of Operations Research, Springer, vol. 299(1), pages 1025-1056, April.
    3. Francetic, Igor & Meacock, Rachel & Sutton, Matt, 2024. "Free-for-all: Does crowding impact outcomes because hospital emergency departments do not prioritise effectively?," Journal of Health Economics, Elsevier, vol. 95(C).
    4. Cavalieri, M.; Di Caro, P.; Guccio, C.; Lisi, D.;, 2017. "Does neighbour’s grass matter? Exploring spatial dependent heterogeneity in technical efficiency of Italian hospitals," Health, Econometrics and Data Group (HEDG) Working Papers 17/13, HEDG, c/o Department of Economics, University of York.
    5. Cavalieri, Marina & Di Caro, Paolo & Guccio, Calogero & Lisi, Domenico, 2020. "Does neighbours' grass matter? Testing spatial dependent heterogeneity in technical efficiency of Italian hospitals," Social Science & Medicine, Elsevier, vol. 265(C).
    6. Fontini, Fulvio & Vargiolu, Tiziano & Zormpas, Dimitrios, 2021. "Investing in electricity production under a reliability options scheme," Journal of Economic Dynamics and Control, Elsevier, vol. 126(C).
    7. Vidoli, Francesco & Pignataro, Giacomo & Benedetti, Roberto, 2022. "Identification of spatial regimes of the production function of Italian hospitals through spatially constrained cluster-wise regression," Socio-Economic Planning Sciences, Elsevier, vol. 82(PA).
    8. Álvaro Cartea & Sebastian Jaimungal, 2017. "Irreversible Investments And Ambiguity Aversion," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 20(07), pages 1-26, November.
    9. Eisenack, Klaus & Paschen, Marius, 2022. "Adapting long-lived investments under climate change uncertainty," Journal of Environmental Economics and Management, Elsevier, vol. 116(C).
    10. Ludkovski, Michael & Sircar, Ronnie, 2016. "Technology ladders and R&D in dynamic Cournot markets," Journal of Economic Dynamics and Control, Elsevier, vol. 69(C), pages 127-151.
    11. Sebastien Bourdin & Sevgi Eda Tuzcu & Esra Satıcı, 2023. "Explaining COVID‐19 vaccine uptake: A spatial sociodemographic study in Turkey," Papers in Regional Science, Wiley Blackwell, vol. 102(2), pages 307-329, April.
    12. Tim Leung & Kazutoshi Yamazaki & Hongzhong Zhang, 2015. "Optimal Multiple Stopping with Negative Discount Rate and Random Refraction Times under Levy Models," Papers 1505.07313, arXiv.org.
    13. Gianluca Fiorentini & Silvana Robone & Rossella Verzulli, 2018. "How do hospital‐specialty characteristics influence health system responsiveness? An empirical evaluation of in‐patient care in the Italian region of Emilia‐Romagna," Health Economics, John Wiley & Sons, Ltd., vol. 27(2), pages 266-281, February.
    14. Felipa de Mello-Sampayo, 2020. "Spatial Interaction Model for Healthcare Accessibility: What Scale Has to Do with It," Sustainability, MDPI, vol. 12(10), pages 1-19, May.
    15. Kevin Guo & Tim Leung & Brian Ward, 2019. "How to mine gold without digging," International Journal of Financial Engineering (IJFE), World Scientific Publishing Co. Pte. Ltd., vol. 6(01), pages 1-30, March.
    16. Kiziltan, Mustafa, 2021. "Water-energy nexus of Turkey’s municipalities: Evidence from spatial panel data analysis," Energy, Elsevier, vol. 226(C).
    17. Jamiil Jeetoo, 2020. "Spillover effects in public healthcare expenditure in Sub‐Saharan Africa: A spatial panel analysis," African Development Review, African Development Bank, vol. 32(2), pages 257-268, June.
    18. Tim Leung & Kazutoshi Yamazaki & Hongzhong Zhang, 2015. "An Analytic Recursive Method For Optimal Multiple Stopping: Canadization And Phase-Type Fitting," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 18(05), pages 1-31.
    19. Klaus Eisenack & Marius Paschen, 2017. "Designing long-lived investments under uncertain and ongoing change," Working Papers V-398-17, University of Oldenburg, Department of Economics, revised Feb 2017.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:scm:ejafbu:v:11:y:2023:i:1:p:139-146. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Liviu Scutariu (email available below). General contact details of provider: https://edirc.repec.org/data/feusvro.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.