Open Journal of Social Sciences

Volume 8, Issue 7 (July 2020)

ISSN Print: 2327-5952   ISSN Online: 2327-5960

Google-based Impact Factor: 1.63  Citations  

Evaluation of Efficiency of Primary Medical and Health Institutions Based on DEA and Entropy Weight TOPSIS

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DOI: 10.4236/jss.2020.87008    425 Downloads   1,069 Views  Citations
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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.

Share and Cite:

Tan, N. and Li, Y. (2020) Evaluation of Efficiency of Primary Medical and Health Institutions Based on DEA and Entropy Weight TOPSIS. Open Journal of Social Sciences, 8, 89-98. doi: 10.4236/jss.2020.87008.

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