Research Article
Study on Spatial Imbalance and Determinants of E-Commerce Development in Zhejiang, China
| Variable | Coefficient | StdError | t-statistic | Probability | Robust_SE | Robust_t | Robust_Pr | VIF |
| Intercept | 1634599.5 | 2381296 | 0.68643 | 0.494613 | 1764610.88 | 0.92632 | 0.357325 | — | GDP | 0.280109 | 0.24274 | 1.15393 | 0.252291 | 0.313456 | 0.89361 | 0.37446 | 23.62808 | PerGDP | 3.203353 | 10.797 | 0.29669 | 0.76755 | 5.963631 | 0.53715 | 0.592802 | 6.151398 | Population | −760.6725 | 19370 | −0.03927 | 0.968779 | 22906.3123 | −0.03321 | 0.973596 | 9.036138 | Area | −652.6249 | 464.224 | −1.40584 | 0.164018 | 512.886693 | −1.27245 | 0.207252 | 2.505199 | LocalRevenue | 0.085829 | 0.59704 | 0.14376 | 0.036086 | 0.889384 | 0.0965 | 0.023381 | 6.103148 | TransExpenditure | 7.124505 | 14.3365 | 0.49695 | 0.620723 | 18.430816 | 0.38655 | 0.700216 | 2.497873 | PostalRevenue | 6.475981 | 3.27634 | 1.97659 | 0.031866 | 5.105642 | 1.2684 | 0.0208688 | 2.057148 | InternetUsers | 41532.433 | 20297.3 | 2.0462 | 0.044338 | 12422.2993 | 3.34338 | 0.001313 | 3.072969 | RetailSales | 0.559669 | 0.28557 | 1.95987 | 0.02383 | 0.259745 | 2.15469 | 0.034483 | 6.76502 | UrbanPerCapitalIncome | 47.106312 | 70.0908 | 0.67208 | 0.503656 | 54.03746 | 0.87173 | 0.0386206 | 7.373611 | RuralPerCapitalIncome | −187.5783 | 98.2379 | −1.90943 | 0.070138 | 75.432815 | −2.48669 | 0.015177 | 6.453628 | TransportationWarehousingPostalGross | 0.30451 | 0.5212 | −0.58424 | 0.016086 | 0.2266 | 1.34382 | 0.0183172 | 1.127603 | TransportationWarehousingPostalElectricity | 21.390363 | 27.1108 | 0.789 | 0.432664 | 31.238967 | 0.68473 | 0.495678 | 1.178223 | WholesaleRetail | 0.04045 | 0.21772 | 0.18579 | 0.853121 | 0.243053 | 0.16643 | 0.868281 | 1.460752 | TertiaryIndustry | −0.579123 | 0.23344 | −2.48085 | 0.015408 | 0.252954 | −2.28944 | 0.024943 | 5.212943 |
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