Table 5 Regression analysis results when the dependent variable is NPS.

Variable	Model 9	Model 10	Model 11	Model 12	Model 13	Model 14	Model 15	Model 16
ER		0.353*** (2.94)		0.397*** (3.11)		0.284** (2.27)
GI					0.405*** (3.31)	0.316*** (2.71)	0.413*** (3.37)	0.405*** (3.11)
ED							0.302*** (2.83)	0.316*** (2.87)
GI × ED								0.291** (2.42)
ES	0.147 (1.32)	0.132 (1.13)	0.165* (1.77)	0.155 (1.42)	0.159 (1.45)	0.162* (1.67)	0.142 (1.24)	0.125 (0.98)
BA	0.172* (1.86)	− 0.220** (− 1.98)	0.285** (2.28)	− 0.167* (− 1.86)	0.271** (2.14)	0.186* (1.72)	0.249** (2.07)	0.223** (2.16)
AL	0.134 (1.53)	0.114 (1.01)	0.171* (2.16)	− 0.159 (− 1.37)	0.169* (1.85)	0.151 (1.24)	− 0.143 (− 1.04)	0.135 (1.28)
Individual factor	Control	Control	Control	Control	Control	Control	Control	Control
Time factor	Control	Control	Control	Control	Control	Control	Control	Control
Constant	0.202** (1.97)	0.198* (1.94)	0.239** (2.21)	0.228** (2.15)	0.224** (2.13)	0.234** (2.26)	0.215** (2.08)	0.207** (1.99)
R²	0.287	0.272	0.313	0.325	0.310	0.246	0.333	0.339
F	24.63***	21.17***	25.72***	20.15***	25.37***	22. 64***	19.11***	17.35***

***, ** and * respectively indicate that the parameter estimation is significant at the levels of 0.01, 0.05 and 0.1. The "t" value is in parentheses.

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