Efficiency Change of China's Primary Health Care Institution and Influencing Factor Analysis

By using the data of China's primary health care institutions from 30 provinces in 2006-2012, this paper calculated their efficiency level by way of the DEA-Malmquist productivity index model, and summarized the changing patterns according to the regional classification. At last, the paper cited the Tobit model to analyze the influence factors of China's primary health care institutions. The result indicated that there is no significant increase in total factor productivity of China's primary health care institutions, with the exception only in Beijing and Ningxia which showed dramatic growth, the changes of total factor productivity (TFP) from eastern, central and western regions are all in accordance to the results. Moreover, the study also showed that per capita beds is the most significant cause affecting the rate of total factor productivity and technology progress.