Research Article
Spatial Association and Explanation of China’s Digital Financial Inclusion Development Based on the Network Analysis Method
Table 5
QAP correlation analysis of spatial association matrix R and its influencing factor matrices.
| Variable | Value | Significance | Average | Std. dev | Min | Max | Prop ≥ 0 | Prop ≤ 0 |
| S | 0.123∗∗∗ | 0.007 | 0.000 | 0.043 | −0.151 | 0.166 | 0.007 | 0.995 | E | −0.315∗∗∗ | 0.000 | −0.001 | 0.050 | −0.207 | 0.138 | 1.000 | 0.000 | F | −0.098∗∗ | 0.038 | −0.000 | 0.051 | −0.257 | 0.136 | 0.963 | 0.038 | N | −0.335∗∗∗ | 0.000 | −0.000 | 0.051 | −0.270 | 0.137 | 1.000 | 0.000 | M | −0.246∗∗∗ | 0.000 | −0.001 | 0.054 | −0.205 | 0.157 | 1.000 | 0.000 | I | −0.109∗∗ | 0.021 | 0.000 | 0.056 | −0.172 | 0.154 | 0.980 | 0.021 |
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Note.∗∗∗ and ∗∗ denote significance at 1% and 5% levels, respectively.
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