Analysis on the Allocation Efficiency of Traditional Chinese Medicine Resource in Tianjin Based on DEA Model
- 10.2991/aebmr.k.210218.019How to use a DOI?
- Tianjin, Traditional Chinese Medicine, Health resource, DEA model, Efficiency evaluation
This paper aims to understand the allocation efficiency of health resource about Traditional Chinese Medicine (TCM) in Tianjin from 2011 to 2019, and to provide suggestions for the allocation of TCM resource during the 14th five-year Plan period. Descriptive analysis was conducted on the allocation of TCM resource in Tianjin from 2011 to 2019, and Data Envelopment Analysis (DEA) was used to study the allocation efficiency and input-output projection of TCM resource in Tianjin. From 2011 to 2019, the allocation and service output of TCM resource in Tianjin increased in some degree. DEA results showed that the allocation of TCM resource was generally effective, and TCM institutions had excess input and insufficient output of health resource in 2015, 2017 and 2018. Considering the output and input of TCM resources in Tianjin from 2011 to 2019 is mismatch, and the structure of resource allocation and investment is poor. Combined with the scale efficiency of resource allocation is low, and resource input redundancy and output deficiency coexist at the same time. It is suggested that control the scale expansion of health resource in TCM institution rationally; enhance the service level of TCM institution; establish scientific assessment and evaluation standard.
- © 2021, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Yanhui Nie AU - Ning He PY - 2021 DA - 2021/02/19 TI - Analysis on the Allocation Efficiency of Traditional Chinese Medicine Resource in Tianjin Based on DEA Model BT - Proceedings of the 5th Asia-Pacific Conference on Economic Research and Management Innovation (ERMI 2021) PB - Atlantis Press SP - 100 EP - 104 SN - 2352-5428 UR - https://doi.org/10.2991/aebmr.k.210218.019 DO - 10.2991/aebmr.k.210218.019 ID - Nie2021 ER -