Chakravarty Sujoy, Gaynor Martin, Klepper Steven, Vogt William B
H. John Heinz III School of Public Policy & Management, Carnegie Mellon University, Pittsburgh, PA 15213-3890, USA.
Health Econ. 2006 Apr;15(4):345-61. doi: 10.1002/hec.1111.
We examine the evolving structure of the US hospital industry since 1970, focusing on how ownership form influences entry and exit behavior. We develop theoretical predictions based on the model of Lakdawalla and Philipson, in which for-profit and not-for-profit hospitals differ regarding their objectives and costs of capital. The model predicts for-profits would be quicker to enter and exit than not-for-profits in response to changing market conditions. We test this hypothesis using data for all US hospitals from 1984 to 2000. Examining annual and regional entry and exit rates, for-profit hospitals consistently have higher entry and exit rates than not-for-profits. Econometric modeling of entry and exit rates yields similar patterns. Estimates of an ordered probit model of entry indicate that entry is more responsive to demand changes for for-profit than not-for-profit hospitals. Estimates of a discrete hazard model for exit similarly indicate that negative demand shifts increase the probability of exit more for for-profits than not-for-profits. Finally, membership in a hospital chain significantly decreases the probability of exit for for-profits, but not not-for-profits.
我们研究了自1970年以来美国医院行业不断演变的结构,重点关注所有权形式如何影响进出行为。我们基于拉克德瓦拉和菲利普森的模型得出理论预测,在该模型中,营利性医院和非营利性医院在目标和资本成本方面存在差异。该模型预测,面对不断变化的市场条件,营利性医院进出市场的速度会比非营利性医院更快。我们使用1984年至2000年美国所有医院的数据来检验这一假设。通过考察年度和地区的进出率,营利性医院的进出率始终高于非营利性医院。进出率的计量经济学模型也得出了类似的模式。进入的有序概率模型估计表明,营利性医院的进入对需求变化的反应比非营利性医院更敏感。退出的离散风险模型估计同样表明,需求的负面变化对营利性医院退出概率的增加幅度大于非营利性医院。最后,隶属于连锁医院会显著降低营利性医院的退出概率,但对非营利性医院则不然。