Research Article
Agglomeration and Spatial Distribution of E-Commerce Sector in China: A Case Study of Jiangsu Province
Table 2
Measures of global spatial autocorrelation Weights matrix.
| Name: W Type: Imported (binary) Row-standardized: No | Moran’s | Variables | | | | | -value | Year 2016 | 0.359 | -0.083 | 0.141 | 4.422 | 0.008 | Year 2017 | 0.393 | -0.083 | 0.138 | 5.715 | 0.003 | Year 2018 | 0.405 | -0.083 | 0.142 | 4.026 | 0.001 | Year 2019 | 0.447 | -0.083 | 0.117 | 5.964 | 0.005 | Year 2020 | 0.564 | -0.083 | 0.152 | 6.285 | 0.004 |
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