The Moderating Effect of Guanxi on the Dynamic Capacity and Competitive Advantage of Chinese International Contractors

Table 4

Hierarchical regression test.

Variables	Model 1	Model 2	Model 3	Model 4
Control variable
State	−0.14	−0.16	−0.29	−0.26 (0.41) [0.35]
Size	−0.06	−0.04	−0.03	−0.02 (0.08) [0.09]
Age	−0.01	−0.01	−0.01	0.01 (0.01) [0.01]
Tran	0.58	0.58	0.64	0.78 (0.24) [0.26]
Budget	0.17	0.11	0.10	−0.01 (0.15) [0.16]
Gdp	0.05	0.13	0.13	0.19 (0.19) [0.17]
Independent variable
Env	—	0.27	0.24	0.25 (0.14) [0.18]
Lea	—	−0.21	−0.22	−0.23 (0.15) [0.16]
Int	—	0.32	0.32	0.28 (0.19) [0.22]
Moderator
Bus	—	—	0.17	0.21 (0.21) [0.21]
Pol	—	—	−0.11	−0.06 (0.11) [0.10]
Cross item
Env ∗ Bus	—	—	—	0.42 (0.20) [0.22]
Lea ∗ Bus	—	—	—	−0.38 (0.17) [0.15]
Int ∗ Bus	—	—	—	0.18 (0.23) [0.19]
Env ∗ Pol	—	—	—	−0.26 (0.15) [0.16]
Lea ∗ Pol	—	—	—	0.02 (0.15) [0.14]
Int ∗ Pol	—	—	—	−0.21 (0.16) [0.16]
F value	1.31	1.20	1.75	2.02
R^2	0.14	0.28	0.30	0.47
Adj. R^2	0.03	0.14	0.13	0.24

OLS standard errors are shown in parentheses. Heterorobust standard errors are shown in square brackets. ; ; (two-tailed).