Abstract
The community and home-based elderly care service system has been proved an effective pattern to mitigate the elderly care dilemma under the background of accelerating aging in China. In particular, the participation of social organizations in community and home-based elderly care service has powerfully fueled the multi-supply of elderly care. As the industry of the elderly care service is in the ascendant, the management lags behind, resulting in the waste of significant social resources. Therefore, performance evaluation is proposed to resolve this problem. However, a systematic framework for evaluating performance of community and home-based elderly care service centers (CECSCs) is absent. To overcome this limitation, the SBM-DEA model is introduced in this paper to evaluate the performance of CECSCs. 186 social organizations in Nanjing were employed as an empirical study to develop the systematic framework for performance evaluation. Through holistic analysis of previous studies and interviews with experts, a systematic framework with 33 indicators of six dimensions (i.e., financial management, hardware facilities, team building, service management, service object and organization construction) was developed. Then, Sensitivity Analysis is used to screen the direction of performance optimization and specific suggestions were put forward for government, industrial associations and CECSCs to implement. The empirical study shows the proposed framework using SBM-DEA and sensitivity analysis is viable for conducting performance evaluation and improvement of CECSCs, which is conducive to the sustainable development of CECSCs.
Highlights
The aging population is increasing at an astonishing speed
This study indicates that the main reason is that the current evaluation of community and home-based elderly care service centers (CECSCs) is merely focusing on the hardware, ignoring the requirements for management efficiency
This study proposes a systematic framework for performance evaluation of CECSCs with 33 indicators developed from literature review and field interviews
Summary
The aging population is increasing at an astonishing speed. According to World Health Organization, the proportion of the world’s population over 60 years old is predicted to rise from 12% to 22% during the period of 2015–2050 [1]. The population aged above 60 in China is expected to exceed 30% by 2050, which is obviously higher than the world. Huang play a role in the study design, decision to publish, or preparation of the manuscript
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