Table of Contents Table of Contents
Previous Page  17 / 372 Next Page
Information
Show Menu
Previous Page 17 / 372 Next Page
Page Background

臺大管理論叢

26

卷第

2

17

Table 6 reports the univariate analysis results. Panel A uses

IMS_D

to identify industry

expert. It shows both

BETR

and

CETR

are statistically lower amongst the industry expert

auditors than those of non-expert auditors from both t-test and Wilcoxon rank-sum test, and

BTD

of industry experts’ clients is statistically higher than that of non-experts’ clients, which

means the level of corporate tax avoidance is higher when auditor is an industry expert.

Panel B uses

IPS_D

to identify industry expert and demonstrates the same results. Overall,

Table 6 implies a strong relationship between the auditor industry expertise and clients’ tax

avoidance. However, this study needs further analysis to confirm this association, because

univariate analysis only uses the dummy variables to proxy auditor industry expertise and

does not consider other determinants of tax avoidance aside from auditor industry expertise.

Table 6 Univariate Analysis

Panel A: Use industry market share (

IMS_D

) to identify industry expert

Mean

Median

Expert

(N = 1001)

Non-expert

(N = 6691)

Dif

T-stat

Expert

(N = 1001)

Non-expert

(N = 6691)

Dif

Z-stat

BETR

0.1860 0.1942 -0.008**

-2.43 0.1799 0.1817 -0.002*

-1.89

CETR

0.2605 0.2673 -0.007*

-1.82 0.2802 0.2836 -0.003*

-1.92

BTD

17.8828 17.0053 0.877*** 14.21 17.7728 17.0558 0.717*** 12.17

Panel B: Use industry market share (

IPS_D

) to identify industry expert

Mean

Median

Expert

(N = 754)

Non-expert

(N = 6938)

Dif

T-stat

Expert

(N = 754)

Non-expert

(N = 6938)

Dif

Z-stat

BETR

0.1925 0.1995 -0.007*

-1.82 0.1798 0.1861 -0.006*** -2.78

CETR

0.2598 0.2755 -0.016*** -3.72 0.2822 0.2987 -0.017*** -3.36

BTD

17.3957 17.0883 0.307***

4.37 17.3384 17.1080 0.230***

3.61

Note: This table reports the univariate analysis results. The sample includes 7,692 firm-year

observations for the period 2008-2012. Panel A uses

IMS_D

to identify industry expert and

examines the difference of clients’ tax avoidance between industry expert sample and non-

expert sample through t-test and Wilcoxon rank-sum test. Panel B uses

IPS_D

to identify

industry expert and also examines the difference of clients’ tax avoidance between two

independent samples. T-statistics are in the parentheses. ***, **, * stand for a statistical

significant level of 1%, 5% and 10% respectively.