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. 2020 Oct 10;291(3):1117–1131. doi: 10.1016/j.ejor.2020.09.053

Table 4.

Regression results for node vulnerability analysis.

Dependent Variable Node Vulnerability
(Auto Industry Network)
Node Vulnerability
(Random Network)
Model (5) Model (6) Model (7) Model (8)
FR 0.026*** 0.026*** 0.142*** 0.142***
(0.003) (0.002) (0.003) (0.003)
BR 0.222*** 0.222*** 0.152*** 0.152***
(0.003) (0.002) (0.003) (0.003)
RC −0.100*** −0.100*** −0.116*** −0.116***
(0.003) (0.002) (0.003) (0.003)
TD 0.220*** 0.220*** 0.122*** 0.122***
(0.005) (0.005) (0.003) (0.003)
DD −0.103*** −0.103*** −0.007* −0.007**
(0.005) (0.005) (0.003) (0.003)
FR * TD 0.009 −0.024***
(0.005) (0.003)
BR * TD −0.079*** −0.006*
(0.005) (0.003)
FR * DD −0.0002 0.045***
(0.005) (0.003)
BR * DD 0.021*** −0.046***
(0.005) (0.003)
Constant 0.618*** 0.618*** 0.699*** 0.699***
(0.003) (0.002) (0.003) (0.003)
Number of observations 3267 3267 3267 3267
Adj. R2 0.790 0.828 0.708 0.755
F Statistic 2452.3***
(df = 5; 3261)
1749.5***
(df = 9; 3257)
1582.5***
(df = 5; 3261)
1118.1***
(df = 9; 3257)

Standard errors in parentheses.

* p < 0.05, ** p < 0.01, *** p < 0.001.