Equity and Efficiency of Health Resource Allocation of Chinese Medicine in Mainland China: 2013–2017

Frontiers in Public Health

article

Zhengjun Li¹  Lili Yang¹  Shaoliang Tang¹  Yaoyao Bian⁴ 

[1] College of Health Economics Management, Nanjing University of Chinese Medicine;School of Management, University of St Andrews, United Kingdom;School of First Clinical Medicine, Nanjing University of Chinese Medicine;School of Nursing, Nanjing University of Chinese Medicine

关键词: equity;    efficiency;    productivity;    TCM;    health resource;   

DOI  :  10.3389/fpubh.2020.579269

学科分类：社会科学、人文和艺术（综合）

来源: Frontiers

【 摘 要 】

Background: In this study, we aimed to estimate the equity and efficiency of traditional Chinese medicine (TCM) health resource allocation, utilization, and trend in mainland China from 2013 to 2017. Methods: The data were downloaded from the China Health Statistical Yearbook (2014–2018) and the China Statistical Yearbook (2018). The equity of TCM health resource allocation was evaluated through the Lorenz curve, Gini coefficient (G), and Theil index (T) based on population size and geographical area. The efficiency and productivity of TCM health resource utilization were assessed using the data envelopment analysis-based Malmquist productivity index. Results: TCM health resource had an increasing trend every year. The equity allocated by population (G ranging from 0.1 to 0.3) was better than that by geographic region (G > 0.5). T in the intra-groups was higher than those in the inter-groups. The equity of TCM resource allocation was the middle region > eastern region > western region. Most provinces (29 out of 31) had negative productivity changes, suggesting deterioration in productivity. Moreover, the middle region with higher scale sizes had more redundant inputs than the other two regions. However, the low technological development (all technical values 1) had increased since 2015. However, the frequency distribution of technical change (score > 1) decreased every year. The slow technological progress and low scale size might be the main reasons for low productivity.

【 授权许可】

CC BY