![]() The average occupancy rate of LTCF in Shandong Province was 46.74% and the lowest was less than 10%. The occupancy rates of LTCF in both Shanghai and Beijing with a high degree of aging were less than 70%. In 2014, the vacancy rate of China’s LTCF was as high as 48%. Although the number of care beds for the elderly to grow rapidly, its utilization rate was not high. By the end of 2016, there were over 140,000 LTCF in China, an increase of 20.7% in the previous year. However, these agencies have faced a series of problems such as inefficient services and poor care quality. With the development of the national “welfare socialization”, the formulation and implementation of many old-age service policies and the influx of market funds have contributed to the rapid development of LTCF. Living in long-term care facilities (LTCF) has become an important way to meet the needs of the elderly. Coupled with the changes in family structure, these have faced enormous challenges to the traditional family care. The accelerating aging of the population has brought about an increasingly vigorous demand for long-term care (LTC) for the elderly. It was estimated that the number of adults aged over 60 will increase to 255 million (17.8%) by 2020, and that of adults aged 80 and over will reach 29 million in China. In 2016, China had 230 million elderly people aged 60 and over accounting for 16.7% of the total population, of whom 18.3% were elderly disabled and partially disabled. The TE of LTCF raised by increasing of working hours, training frequency and institutional occupancy.Ĭhina is an upper middle-income country with the largest population of the elderly in the world. The LTCF in urban were more effective than rural. ![]() The TE of private LTCF was higher than that of public LTCF. The slack analysis showed that they can be reduced in 8 LTCF with decreasing returns to scale such as 53.31% administrative staffs, 67.73% medical staffs, 33.1% caregivers, 51.66% paramedical staffs and 4.1% beds on average. Depending on TE score from high to low, the top eight are private LTCF, and the last four were public LTCF. In the SBM model, the average TE was 0.813, and it had the same effective decision-making unit with SBM model. There were 5 LTCF with increasing returns to scale, 8 LTCF with decreasing returns to scale. The average pure technical efficiency and scale efficiency of LTCF were 0.979, 0.984, respectively. ![]() In the BCC model, the average TE was 0.963. 17 LTCF were technically efficient (53.1%). ![]() There were 7 public and 25 private LTCF respectively, with a total of 6729 beds and 3154 elderly people. ![]()
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