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公司避稅與金字塔結構

26

Among firms with similar tax avoidance opportunities, firms with lower effective tax rate

can be considered to be engaged in more tax avoidance (Balakrishnan et al., 2012). Table

4 presents the results of our multivariate analyses using industry-adjusted effective tax

rates as dependent variables. Specifically, using

IND_GAAP_ETR

as a dependent variable,

we find that the coefficient on

LYEAR

is -0.011 (p-value < 0.01); using

IND_CASH_ETR

as a dependent variable, the coefficient on

LAYER

is -0.010 (p-value < 0.01). Firms which

have more number of layers tend to be engaged in more tax avoidance activities. We also

get the qualitatively similar results using

IND_LT_ETR_3Y

and

IND_LT_ETR_5Y

.

Overall, these results suggest that the controlling shareholders (along with managers) can

conduct tax avoidance activities by creating complex structures to obscure the underlying

intent and to avoid detection by the government. The increase in the number of layer

grants pyramidal firms more opportunities to take tax avoidance without being detected.

Table 5 presents the regression model (2). The definition of tax haven countries is

based on Durnev et al. (2017). In columns (1), (2), (3), and (4), we report the results of

estimating equation (2) using

GAAP_ETR, CASH_ETR, LT_ETR_3Y

, and

LT_ETR_5Y

as

the dependent variables respectively. In column (1) and (2), We find that the coefficient on

LAYER

is -0.019 (p-value < 0.001) and -0.022 (p-value < 0.01), which is consistent with

the results of model (1), suggesting that firms which have more number of layers tend to

be engaged in more tax avoidance activities. Moreover, the coefficient on

LAYEAR*TAXH1

is -0.024 (p-value < 0.05) and -0.044 (p-value < 0.01), suggesting that

the positive association between tax avoidance activities and having subsidiaries in tax

haven countries becomes more pronounced as the number of layers in corporate pyramids

increased. Likewise, in column (3) and (4), we find that the coefficient on LYEAR is

-0.024 (p-value < 0.001) and -0.030 (p-value < 0.001), which is consistent with the results

of model (1). Moreover, the coefficient on

LAYEAR*TAXH1

is -0.049 (p-value < 0.01) and

-0.047 (p-value < 0.01).

Table 6 presents the results using the definition of tax haven countries as in Dyreng

and Lindsey (2009). The results qualitatively lead to similar inferences. Overall, these

results suggest that the positive association between tax avoidance activities and having

subsidiaries in tax haven countries become more pronounced as the number of layers in

corporate pyramids increases.