Measuring and Benchmarking Technical Efficiency of Public Hospitals in Tianjin, China

China has long been stuck in applying traditional data envelopment analysis (DEA) models to measure technical efficiency of public hospitals without bias correction of efficiency scores. In this article, we have introduced the Bootstrap-DEA approach from the inter...

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Main Authors: Hao Li PhD, Siping Dong PhD
Format: Article
Language:English
Published: SAGE Publishing 2015-09-01
Series:Inquiry: The Journal of Health Care Organization, Provision, and Financing
Online Access:http://inq.sagepub.com/content/52/0046958015605487.full.pdf
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spelling doaj-ec15c966442642c2b75ca71d1c64b8782020-11-25T04:08:57ZengSAGE PublishingInquiry: The Journal of Health Care Organization, Provision, and Financing0046-95801945-72432015-09-015210.1177/004695801560548710.1177_0046958015605487Measuring and Benchmarking Technical Efficiency of Public Hospitals in Tianjin, ChinaHao Li PhDSiping Dong PhDChina has long been stuck in applying traditional data envelopment analysis (DEA) models to measure technical efficiency of public hospitals without bias correction of efficiency scores. In this article, we have introduced the Bootstrap-DEA approach from the international literature to analyze the technical efficiency of public hospitals in Tianjin (China) and tried to improve the application of this method for benchmarking and inter-organizational learning. It is found that the bias corrected efficiency scores of Bootstrap-DEA differ significantly from those of the traditional Banker, Charnes, and Cooper (BCC) model, which means that Chinese researchers need to update their DEA models for more scientific calculation of hospital efficiency scores. Our research has helped shorten the gap between China and the international world in relative efficiency measurement and improvement of hospitals. It is suggested that Bootstrap-DEA be widely applied into afterward research to measure relative efficiency and productivity of Chinese hospitals so as to better serve for efficiency improvement and related decision making.http://inq.sagepub.com/content/52/0046958015605487.full.pdf
collection DOAJ
language English
format Article
sources DOAJ
author Hao Li PhD
Siping Dong PhD
spellingShingle Hao Li PhD
Siping Dong PhD
Measuring and Benchmarking Technical Efficiency of Public Hospitals in Tianjin, China
Inquiry: The Journal of Health Care Organization, Provision, and Financing
author_facet Hao Li PhD
Siping Dong PhD
author_sort Hao Li PhD
title Measuring and Benchmarking Technical Efficiency of Public Hospitals in Tianjin, China
title_short Measuring and Benchmarking Technical Efficiency of Public Hospitals in Tianjin, China
title_full Measuring and Benchmarking Technical Efficiency of Public Hospitals in Tianjin, China
title_fullStr Measuring and Benchmarking Technical Efficiency of Public Hospitals in Tianjin, China
title_full_unstemmed Measuring and Benchmarking Technical Efficiency of Public Hospitals in Tianjin, China
title_sort measuring and benchmarking technical efficiency of public hospitals in tianjin, china
publisher SAGE Publishing
series Inquiry: The Journal of Health Care Organization, Provision, and Financing
issn 0046-9580
1945-7243
publishDate 2015-09-01
description China has long been stuck in applying traditional data envelopment analysis (DEA) models to measure technical efficiency of public hospitals without bias correction of efficiency scores. In this article, we have introduced the Bootstrap-DEA approach from the international literature to analyze the technical efficiency of public hospitals in Tianjin (China) and tried to improve the application of this method for benchmarking and inter-organizational learning. It is found that the bias corrected efficiency scores of Bootstrap-DEA differ significantly from those of the traditional Banker, Charnes, and Cooper (BCC) model, which means that Chinese researchers need to update their DEA models for more scientific calculation of hospital efficiency scores. Our research has helped shorten the gap between China and the international world in relative efficiency measurement and improvement of hospitals. It is suggested that Bootstrap-DEA be widely applied into afterward research to measure relative efficiency and productivity of Chinese hospitals so as to better serve for efficiency improvement and related decision making.
url http://inq.sagepub.com/content/52/0046958015605487.full.pdf
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