Persistent and Transient Inefficiency of Australian States and Territories in Providing Public Hospital Services: An Application of Bayesian Stochastic Finite Mixture Frontier Analysis

Antony Andrews, O. Temoso, Sean Kimpton
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引用次数: 1

Abstract

Current literature on public hospital efficiency in Australia only reveals information on how efficient public hospitals are in the short run. The presence of persistent technical inefficiency arising from long-term systemic problems and government-related regulatory constraints does not appear to have been addressed. Using yearly panel data for the period 2002-2018 on eight Australian states and territories, this study incorporates the measure of both transient and persistent technical inefficiency while controlling for unobserved heterogeneity to obtain a more precise measure of technical efficiency. The results of this study indicate that the technical inefficiency among public hospitals in Australia is persistent rather than transient based on state and territory level data. This implies that policymakers need to formulate comprehensive policies involving a longer time horizon that focuses on reducing the persistence in inefficiency among public hospitals in Australia. The study also calls on policymakers and regulators to disclose hospital-level data to researchers in order to gain further insight into the causes of persistence in inefficiency to formulate effective policies.
澳大利亚各州和地区在提供公立医院服务方面持续和短暂的低效率:贝叶斯随机有限混合前沿分析的应用
目前关于澳大利亚公立医院效率的文献只揭示了短期内公立医院效率如何的信息。由于长期的系统问题和与政府有关的管制限制而造成的持续的技术效率低下的问题似乎没有得到解决。本研究使用2002-2018年澳大利亚8个州和地区的年度面板数据,在控制未观察到的异质性的同时,结合了短暂和持续技术效率低下的衡量标准,以获得更精确的技术效率衡量标准。本研究的结果表明,澳大利亚公立医院的技术效率低下是持续的,而不是暂时的,基于州和地区层面的数据。这意味着决策者需要制定涉及较长时间范围的综合政策,重点是减少澳大利亚公立医院持续存在的低效率。该研究还呼吁政策制定者和监管机构向研究人员披露医院层面的数据,以便进一步了解持续低效率的原因,从而制定有效的政策。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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