印度公共卫生保健效率:使用两阶段DEA方法的估计和决定因素
Khursheed Hussain Dar1, Shahid Hamid Raina2
1Department of Economics, Central University of Kashmir, India 191201.
印度 印度 印度
科学领域:
- 公共卫生 公共卫生
- 卫生经济学 卫生经济学
- 卫生政策 卫生政策
背景情况:
- 超过4亿印度人缺乏财务健康保护,导致高额自付费用.
- 高额医疗保健支出威胁到印度实现可持续发展目标3 (全民健康覆盖) 的进展.
研究的目的:
- 估计印度公共医疗保健服务的效率,在地方层面.
- 确定影响印度各州公共卫生效率的关键决定因素.
主要方法:
- 以输入为导向的偏差纠正的数据包裹分析 (DEA) 用于评估效率.
- 预期寿命和婴儿存活率是输出;公共卫生支出和人均收入是输入.
- 用托比特回归分析来确定影响效率的因素.
主要成果:
- 印度公共医疗保健的平均偏差校正效率得分为0.60,表明40%的效率低下.
- 马哈拉施特拉 (0.921) 和米佐拉姆 (0.218) 分别是效率最高和效率最低的州.
- 在确定公共卫生保健效率方面,社会经济因素比医疗因素更有影响力.
结论:
- 印度的公共卫生部门存在显著的低效率 (40%),这表明节省成本的巨大潜力.
- 提高公共卫生效率可以使政府人均卫生支出节省48%.
- 提高效率预计将使婴儿存活率增加27.19%,预期寿命增加20.65%.
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