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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2015-09-01
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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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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 |
work_keys_str_mv |
AT haoliphd measuringandbenchmarkingtechnicalefficiencyofpublichospitalsintianjinchina AT sipingdongphd measuringandbenchmarkingtechnicalefficiencyofpublichospitalsintianjinchina |
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