Table 5.

Robustness check

Panel A: Alternative measures of Confucian culture
  (1)(2)
  Big10Big10
Conf_academy 0.085*** (12.963) 
Conf_chair  0.039*** (5.177)
Controls YY
Industry YY
Year YY
N 31,35626,459
Pseudo R2 0.1040.120
Panel B: Alternative measure of auditor quality
 (1)(2)(3)
 ViolateViolateViolate
ln_con_1−0.098*** (−3.352)  
ln_con_2 −0.130*** (−4.843) 
ln_con_3  −0.103*** (−3.786)
ControlsYYY
IndustryYYY
YearYYY
N32,97432,97432,974
Pseudo R20.1790.1810.180
Panel C: Alternative sample by excluding firms from ethnic minority regions
 (1)(2)(3)
 Big10Big10Big10
ln_con_10.060*** (5.777)  
ln_con_2 0.081*** (7.555) 
ln_con_3  0.025** (2.217)
ControlsYYY
IndustryYYY
YearYYY
N32,98432,98432,984
Pseudo R20.1020.1030.101
Panel D: Alternative Sample by Excluding Firms from Regions with Strong Influences from both Confucian Culture and the Big 10 Auditors
 Non-Big 10 Auditor and Low Confucianism
 (1)(2)(3)
 Big10Big10Big10
ln_con_10.017(1.312)  
ln_con_2 0.040*** (3.434) 
ln_con_3  0.028** (2.490)
ControlsYYY
IndustryYYY
YearYYY
N16,95316,04816,579
Pseudo R20.1300.1280.129

Note(s): This table presents the results of robustness tests. Panel A shows results with alternative measures of Confucian culture. Panel B uses an alternative measure of high-quality auditors. Panel C displays results after excluding firms from ethnic minority regions. Panel D uses an alternative sample that excludes firms from regions with strong influences from both Confucian culture and the Big 10 auditors. All variables are defined in  Appendix. Continuous variables are winsorized at the top and bottom 1%. Year and industry fixed effects are included. We report two-sided t-statistics computed using standard errors clustered by firm. *, ** and ***indicate significance at the 10, 5 and 1% levels

Source(s): Authors’ own work

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