Dynamic analysis of healthcare providers’ cost efficiency
Antony Andrews and
Grigorios Emvalomatis
Applied Economics, 2024, vol. 56, issue 46, 5443-5460
Abstract:
This study uses quarterly longitudinal data to examine the cost efficiency of 20 New Zealand District Health Boards between 2011 and 2018. A random-effects dynamic stochastic frontier model is applied to estimate the persistence of Health Boards’ cost efficiency while considering both observed and unobserved heterogeneity. The findings reveal that New Zealand Health Boards, on average, spent approximately 7.5% more than the estimated costs of efficient operation, primarily due to high persistence in cost inefficiency. Notably, Health Boards serving rural areas faced even higher levels of long-run cost inefficiency, resulting in an overspending of about 15% of annual budgets. The results of this study highlight that most Health Boards demonstrated excellent short-term performance relative to the long-run equilibrium level of cost inefficiency. However, the more significant concern lies in high long-run cost inefficiency within the sector attributed to structural and regulatory issues. Policymakers are urged to address these underlying problems to improve overall cost efficiency in the health sector.
Date: 2024
References: Add references at CitEc
Citations:
Downloads: (external link)
http://hdl.handle.net/10.1080/00036846.2023.2257031 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:taf:applec:v:56:y:2024:i:46:p:5443-5460
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/RAEC20
DOI: 10.1080/00036846.2023.2257031
Access Statistics for this article
Applied Economics is currently edited by Anita Phillips
More articles in Applied Economics from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().