The Dynamic Evolution of Overseas Market Network of Chinese Enterprises: Agglomeration or Dispersion
Table 7
Export experience and the dynamic evolution of Chinese enterprises’ overseas market network (source: the authors’ calculations).
First export enterprise
Historical export enterprise
(1)
(2)
(3)
(4)
(5)
(6)
Whether to export in the previous period
171.2938 (6.8896)
171.3439 (6.8907)
165.6504 (6.7878)
295.6239 (17.7914)
294.8625 (17.7057)
286.3229 (18.2174)
Number of neighboring export enterprises
0.0001 (0.0000)
0.0005 (0.0002)
Geographic network expansion effect
0.3402 (0.0935)
0.3264 (0.0950)
0.2897 (0.0849)
−0.3863 (0.0632)
−0.3531 (0.0615)
−0.5798 (0.1689)
Neighboring geographical network expansion effect
0.0720 (0.0376)
−0.0019 (0.0002)
Economic network expansion effect
0.5111 (0.0760)
0.4881 (0.0763)
0.4668 (0.0753)
0.8724 (0.3320)
0.7923 (0.3321)
0.7287 (0.3203)
Neighboring economic network expansion effect
0.4847 (0.0609)
1.0872 (0.2949)
Number of trade connections in the previous period
0.3621 (0.0177)
0.3649 (0.0179)
0.3466 (0.0172)
0.7039 (0.0597)
0.7079 (0.0601)
0.6424 (0.0627)
Geographic search effect
4.8811 (0.5080)
4.3296 (0.5176)
3.9976 (0.5165)
9.8902 (2.6199)
8.3461 (2.6515)
7.7045 (2.6325)
Geographical remoteness effect
−7.5281 (5.3306)
−8.3767 (5.3725)
−9.8826 (5.4196)
33.2194 (15.1388)
31.8277 (15.3740)
26.0266 (14.0127)
Trade remoteness effect
0.4218 (0.4109)
0.4341 (0.4115)
0.1823 (0.4076)
1.9223 (1.9154)
1.8774 (1.9101)
1.3288 (1.8997)
Number of host countries in the community
1.1273 (0.2744)
1.1770 (0.2802)
3.9037 (1.2544)
3.9319 (1.2415)
Control variable
Control
Control
Control
Control
Control
Control
Pseudo R2
0.4980
0.4982
0.5023
0.5166
0.5169
0.5222
Sample size
676266
676266
676266
133998
133998
133998
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.
