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Table 3 Regression results of different dimensions of informationization on entrepreneurship

From: Study on the promotion effect of informationization on entrepreneurship: an empirical evidence from China

Explanatory variable 1 2 3 4
Information infrastructure 0.1380*** (0.0296)    
Government informationization   0.0371*** (0.0134)   
Resident informationization    0.0646* (0.0379)  
Enterprise informationization     − 0.0989*** (0.0255)
Political network − 0.0985*** (0.0279) − 0.0998*** (0.0278) − 0.0998*** (0.0278) − 0.0976*** (0.0278)
Social network 0.0101*** (0.0018) 0.0101*** (0.0018) 0.0101*** (0.0018) 0.0103*** (0.0018)
Number of members 0.0210*** (0.0024) 0.0203*** (0.0024) 0.0206*** (0.0024) 0.0206*** (0.0024)
Risk aversion − 0.0280*** (0.0029) − 0.0278*** (0.0029) − 0.0279*** (0.0029) − 0.0281*** (0.0029)
House ownership − 0.0202 (0.0133) − 0.0166 (0.0133) − 0.0176 (0.0133) − 0.0193 (0.0133)
Unemployment rate 0.8237 (0.7292) 1.0720 (0.7202) 2.0797** (0.8422) 1.1790 (0.7368)
Population density 0.0074 (0.0057) − 0.0022 (0.0053) − 0.0050 (0.0057) 0.0100 (0.0063)
Educational level − 0.0400 (0.0275) − 0.1043*** (0.0229) − 0.0908*** (0.0260) − 0.1022*** (0.0236)
Economic development level − 0.0102 (0.0358) 0.1071*** (0.0233) 0.1158*** (0.0231) 0.1575*** (0.0233)
Minimum wage standard − 0.0876** (0.0429) − 0.0675 (0.0453) − 0.1247** (0.0511) − 0.1370*** (0.0451)
Proportion of fiscal revenue − 0.6485*** (0.2256) − 0.4556** (0.2221) − 0.6588** (0.2904) − 0.5609** (0.2255)
Pseudo goodness of fit 0.0548 0.0529 0.0522 0.0541
Sample size 8044 8044 8044 8044
  1. “*,” “**,” and “***” represented significance levels of 10%, 5%, and 1%, respectively; the numbers in parentheses were robust standard errors of estimated coefficients; the reported estimated coefficients were average marginal effects