How does the Combination of Medical Care and Nursing Affect the Service Efficiency of Private Elderly Nursing Institutions——Evidence from the Data of Beijing City

Abstract

Abstract: Based on the survey data of 242 private nursing homes for the aged in Beijing, this paper evaluates the service efficiency of private nursing homes for seniors with BCC model of Data Envelopment Analysis (DEA) and therevised Bootstrap-DEA technique. The effect and mechanism of medical-pension combination mode on the service efficiency of private pension institutions are systematically explored with the Tobit, IV Tobit and 2SLS models. The results show that, under the current policy system, the combination of medical care and nursing care has a significant negative effect on the service efficiency of private pension service institutions. The combination of medical care and nursing can affect service efficiency through revenue effect and cost effect. The service efficiency of medical-pension combination mode, on the one hand, can be improved by raising the occupancy rate. However, the income effect of existing bonus policies has an uncertain impact on service efficiency, and the income effect of current charging standards even lead to the service efficiency loss. On the other hand, the combination of medical care and nursing can largely reduce the service efficiency through the cost effect channels such as "wage costs", "nursing costs" and "assistant spending". Therefore, it is conducive to promote the service efficiency of private pension institutions by strengthening policy support, diversifying institutional income sources, and optimizing the system of combining medical and nursing care.

Key words: combination of medical care and nursing, service efficiency, income effect, cost effect

Liu Guihai, Fan Yuqi, Liu Zhangsheng, Fan Liqin, Zhong Ronggui. How does the Combination of Medical Care and Nursing Affect the Service Efficiency of Private Elderly Nursing Institutions——Evidence from the Data of Beijing City[J]. Management Review, 2020, 32(12): 295-306.

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