ArticleCost effectiveness and resource allocation : C/E2026
Capacity utilization of China's elderly care service industry during 2010-2022.
Article in Cost effectiveness and resource allocation : C/E, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
backgroundChina's elderly care service industry (ECSI) plays a critical role in addressing the needs of an aging population. However, the industry faces both resource shortages and waste, particularly of fixed assets, while capacity utilization (CU), which reflects fixed asset efficiency, has received limited attention.
methodsThis study develops a CU measurement model based on the data envelopment analysis framework to evaluate the CU of ECSI across 30 provinces in China from 2010 to 2022. In addition, the Dagum Gini ratio and Moran's I are employed to analyze the spatial disparities and correlations.
findingsThe CU of China's ECSI showed a downward trend with fluctuations, declining from 0.7426 in 2010 to 0.5889 in 2022. Central China generally exhibit higher CU than eastern and western China. Western China had the lowest CU and the most pronounced fluctuations. The Dagum Gini ratio indicated that the difference between subregions was the primary driver of the total difference (43%), followed by the difference within subregions (28%). Moran's I analysis showed that CU in China's ECSI exhibited increasing spatial agglomeration, with weak but significant spatial correlation. Economically developed provinces, such as Jiangsu, Zhejiang, and Hubei, formed High-High clusters. In contrast, underdeveloped western provinces, including Gansu and Xinjiang, formed Low-Low clusters.
conclusionsChina's ECSI faces declining CU and pronounced regional imbalances. The increasing spatial agglomeration and distinct clustering patterns highlight the need for targeted policies to reduce regional disparities and improve resource allocation.
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