Research Article
Resource Configuration Efficiency and Influencing Factors of Elderly Care Services Based on a Data-Driven DEA-Tobit Approach
Table 5
Descriptive statistics of factors influencing resource allocation efficiency of the Shanghai pension service in 2010–2019.
| Name of variable | Average value | Standard deviation | Minimum value | Maximum value |
| Technical efficiency value | 0.86 | 0.95 | 0.757 | 1.00 | GDP of Shanghai | 27157.07 | 6912.82 | 17915.41 | 38155.32 | Number of institutions engaged in the elderly care | 671.90 | 39.73 | 625 | 724 | Day service institutions in the community | 451.40 | 147.42 | 303 | 720 | Medical service institutions engaged in the elderly care | 30.4 | 11.46 | 18 | 55 | Density of the senior population | 669.73 | 103.92 | 522.07 | 817.16 |
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