Proceedings of the 2022 3rd International Conference on Big Data and Informatization Education (ICBDIE 2022)

Evaluation on the Operational Efficiency of Health Institutions in China

Analysis Based on the Three-Stage DEA

Authors
Cheng Tang1, Li Chen1, *
1School of Management, Hubei University of Chinese Medicine, Wuhan, China
*Corresponding author. Email: chenli0401@163.com
Corresponding Author
Li Chen
Available Online 23 December 2022.
DOI
10.2991/978-94-6463-034-3_83How to use a DOI?
Keywords
Health institutions; operational efficiency; three-stage DEA
Abstract

The main purpose of this paper is to analyze the operational efficiency of China’s health institutions in 2019 and the impact of environmental factors on efficiency, so as to provide references for policy-making. Relevant data having been obtained from China Health Statistical Yearbook 2020 and China Statistical Yearbook 2020, the three-stage data envelopment analysis was adopted to eliminate environmental factors and random errors and to evaluate the efficiency of 31 health institutions in China. Three results are as follows: First, the technical efficiency, pure technical efficiency and scale efficiency of health institutions in China are 0.809, 0.931 and 0.871 respectively; second, the operational efficiency of central and eastern China is at the leading level in China while that of northwestern China falls behind, besides, northern China and northwestern China see an obvious imbalance of the operational efficiency; third, efficiency can be promoted by urban population density, total dependency ratio and financial allocation, while being hindered by regional GDP and case fatality rate. Finally, two conclusions were drawn: Environmental factors have an obvious effect on most areas; furthermore, a widespread waste of resource investment and the blind expansion of scale in medical institutions have existed in various regions. It is suggested that all regions should be adjusted according to local conditions after accurate analysis and scientific research and judgment to improve the operational efficiency.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2022 3rd International Conference on Big Data and Informatization Education (ICBDIE 2022)
Series
Atlantis Highlights in Computer Sciences
Publication Date
23 December 2022
ISBN
10.2991/978-94-6463-034-3_83
ISSN
2589-4900
DOI
10.2991/978-94-6463-034-3_83How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

TY  - CONF
AU  - Cheng Tang
AU  - Li Chen
PY  - 2022
DA  - 2022/12/23
TI  - Evaluation on the Operational Efficiency of Health Institutions in China
BT  - Proceedings of the 2022 3rd International Conference on Big Data and Informatization Education (ICBDIE 2022)
PB  - Atlantis Press
SP  - 805
EP  - 814
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-034-3_83
DO  - 10.2991/978-94-6463-034-3_83
ID  - Tang2022
ER  -