TITLE:
Evaluation of Efficiency of Primary Medical and Health Institutions Based on DEA and Entropy Weight TOPSIS
AUTHORS:
Nannan Tan, Yong Li
KEYWORDS:
Primary Medical and Health Institutions, Efficiency, DEA, Entropy Weight TOPSIS
JOURNAL NAME:
Open Journal of Social Sciences,
Vol.8 No.7,
July
13,
2020
ABSTRACT: China’s primary health care system is the key to guaranteeing
and implementing the “full coverage, basic protection” social
medical policy. This study uses the DEA model and the entropy-weight TOPSIS
method to estimate the efficiency of China’s primary medical and health
institutions in 2018. The results found that in 2018, the overall mean score of the efficiency
of primary medical and health institutions
was low, and the inter-provincial differences were large. As for the
policy implication behind this paper, responsible government departments in
China should fully distribute health resources rationally and improve the primary
medical and health service system.