The convergence between for-profit and nonprofit hospitals in the United States.

Guy David
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引用次数: 47

Abstract

This paper proposes a novel model of the hospital industry in the United States in which firms in effect choose their ownership type and the regulatory and tax regimes under which they must function. Accordingly, I develop a model in which firms have identical objectives but differ in their ability to benefit from a given ownership form. Changes in the economic environment alter firms' incentives to maintain a given ownership type. This in turn induces firms to modify their capacity and encourages some firms to switch ownership type. One implication of this model is that changes in the economic environment that have occurred since 1960 imply that the optimal size of those firms which choose to be for profit should more closely approximate the optimal size of firms which choose to be nonprofit. Hospital level data indicate that this size convergence has indeed occurred. In 1960, U.S. nonprofit hospitals maintained on average more than three times as many beds per hospital as their for-profit counterparts; following a monotonic decline in relative size, by 2000, the average nonprofit hospital was only 32% larger than the typical for-profit hospital. Declining roles of government hospitals, population growth, suburbanization, and increasing government intervention in the healthcare market help explain the convergence in size. Analysis of data at the state and Metropolitan Statistical Area (MSA) levels is consistent with the principal theoretical predictions.

美国盈利性和非盈利性医院的融合。
本文提出了一个美国医院行业的新模型,在这个模型中,公司实际上选择了它们的所有权类型以及它们必须在其中运作的监管和税收制度。因此,我开发了一个模型,在这个模型中,公司具有相同的目标,但从给定的所有权形式中获益的能力不同。经济环境的变化改变了企业维持特定所有权类型的动机。这反过来又促使企业调整其能力,并鼓励一些企业转换所有权类型。该模型的一个含义是,自1960年以来发生的经济环境变化意味着,那些选择盈利的企业的最优规模应该更接近于那些选择非营利的企业的最优规模。医院层面的数据表明,这种规模的趋同确实发生了。1960年,美国非营利性医院的平均床位数是营利性医院的三倍多;在经历了相对规模的单调下降之后,到2000年,非营利性医院的平均规模仅比典型的营利性医院大32%。政府医院的作用下降、人口增长、郊区化和政府对医疗保健市场的干预增加有助于解释规模的趋同。对州和都市统计区(MSA)层面的数据进行的分析与主要理论预测一致。
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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