Research Article

Study on Spatial Imbalance and Determinants of E-Commerce Development in Zhejiang, China

Table 2

Summary of OLS results.

VariableCoefficientStdErrort-statisticProbabilityRobust_SERobust_tRobust_PrVIF

Intercept1634599.523812960.686430.4946131764610.880.926320.357325
GDP0.2801090.242741.153930.2522910.3134560.893610.3744623.62808
PerGDP3.20335310.7970.296690.767555.9636310.537150.5928026.151398
Population−760.672519370−0.039270.96877922906.3123−0.033210.9735969.036138
Area−652.6249464.224−1.405840.164018512.886693−1.272450.2072522.505199
LocalRevenue0.0858290.597040.143760.0360860.8893840.09650.0233816.103148
TransExpenditure7.12450514.33650.496950.62072318.4308160.386550.7002162.497873
PostalRevenue6.4759813.276341.976590.0318665.1056421.26840.02086882.057148
InternetUsers41532.43320297.32.04620.04433812422.29933.343380.0013133.072969
RetailSales0.5596690.285571.959870.023830.2597452.154690.0344836.76502
UrbanPerCapitalIncome47.10631270.09080.672080.50365654.037460.871730.03862067.373611
RuralPerCapitalIncome−187.578398.2379−1.909430.07013875.432815−2.486690.0151776.453628
TransportationWarehousingPostalGross0.304510.5212−0.584240.0160860.22661.343820.01831721.127603
TransportationWarehousingPostalElectricity21.39036327.11080.7890.43266431.2389670.684730.4956781.178223
WholesaleRetail0.040450.217720.185790.8531210.2430530.166430.8682811.460752
TertiaryIndustry−0.5791230.23344−2.480850.0154080.252954−2.289440.0249435.212943