Research Article

The Dynamic Evolution of Overseas Market Network of Chinese Enterprises: Agglomeration or Dispersion

Table 6

Neighboring effects of export network connection on enterprise’s overseas market location selection.

(1)(2)(3)
CoefficientStandard deviationCoefficientStandard deviationCoefficientStandard deviation

Whether to export in the previous period290.117(0.906)262.310(0.875)231.589(0.760)
Whether the neighboring enterprise exported in the previous period9.262(0.070)10.020(0.073)
Number of neighboring export enterprises1.153(0.027)1.100(0.026)1.141(0.026)
Geographic network expansion effect−0.627(0.005)−0.581(0.004)−0.561(0.004)
Neighboring geographical network expansion effect0.135(0.006)0.113(0.006)
(neighboring geographical network expansion effect)−0.131(0.004)−0.163(0.005)
Trade network expansion effect1.653(0.016)1.104(0.021)0.971(0.021)
Neighboring trade network expansion effect1.167(0.029)1.188(0.030)
(neighboring trade network expansion effect)1.136(0.028)1.141(0.027)
Number of trade connections in the previous period0.586(0.004)0.549(0.004)0.447(0.004)
Number of neighboring partners’ trade connections in the previous period−0.043(0.001)−0.065(0.001)−0.054(0.001)
Geographic search effect12.898(0.117)11.927(0.109)10.611(0.110)
Geographical remoteness effect−1.554(0.274)−2.595(0.258)−5.246(0.261)
Trade remoteness effect1.575(0.086)1.438(0.084)1.663(0.087)
Number of connections in neighboring communities0.539(0.006)0.322(0.006)0.155(0.005)
Proportion of trade connections within the community18.127(0.143)
The remoteness effect of neighboring trade−1.391(0.073)
Control variableControlControlControl
Goodness of fit0.5280.5300.532
Sample size728674307286743072867430

Note. , , and represent the significance level of 10%, 5%, and 1%, respectively. The clustering robust standard deviation of the estimated coefficients is given in parentheses. The estimated coefficients are all marginal effects.