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Table 11 Cross-sectional tests based on market power and ETCs

From: Does access to credit reduce SMEs’ tax avoidance? Evidence from a regression discontinuity design

 

Higher market power

Lower market power

(1)

(2)

(3)

(4)

(5)

(6)

\(BTD\)

\(SA\)

\(CASH\)

\(BTD\)

\(SA\)

\(CASH\)

Panel A: Cross-sectional tests based on market power

Results based on 2SLS

 \(TRC\)

0.089`

0.374

 − 0.876

 − 0.335**

 − 0.801**

 − 0.420**

 

(0.112)

(0.928)

(1.355)

(0.144)

(0.317)

(0.214)

 Sample size

1224

1054

865

1240

1860

2564

Results based on Sharp RDD

 \(SME\)

0.010

0.040

 − 0.081

 − 0.070***

 − 0.180***

 − 0.070**

 

(0.009)

(0.057)

(0.049)

(0.020) `

(0.045)

(0.030)

 Sample size

1264

1249

776

1116

1331

2582

 

Higher ETCs

Lower ETCs

(1)

(2)

(3)

(4)

(5)

(6)

\(BTD\)

\(SA\)

\(CASH\)

\(BTD\)

\(SA\)

\(CASH\)

Panel B: Cross-sectional tests based on ETCs

Results based on 2SLS

 \(TRC\)

− 0.262*

− 0.668*

− 0.538**

− 0.165

− 0.331

− 0.433

 

(0.148)

(0.394)

(0.633)

(0.125)

(0.633)

(0.380)

 Sample size

1586

1976

2460

625

828

593

Results based on Sharp RDD

      

\(SME\)

− 0.040***

− 0.113**

− 0.083***

− 0.027

− 0.046

− 0.070

 

(0.015)

(0.045)

(0.031)

(0.017)

(0.065)

(0.047)

Sample size

1712

1912

2328

571

819

668

  1. This table reports RDD results of cross-sectional tests for tax avoidance, financial constraints and cash dependence. Panel A presents cross-sectional tests based on market power. Panel B represents cross-sectional tests based on ETCs. The dependent variables are tax avoidance (\(BTD\)), financial constraints (\(SA\)) and cash dependence (\(CASH\)). Market power is measured as the gross profit margin. ETCs is calculated as entertainment and travel costs scaled by operation revenue. We divide the full sample into two groups respectively based on the medians of market power and ETCs to exercise the cross-sectional tests. \(TRC\) is an indicator variable that is equal to one if the firm's bank loan raise after TRRRCs. \(SME\) is an indicator variable that is equal to one if the firm's operation revenue was below the threshold of operation revenue. The discontinuity estimates are based on local linear regressions. Standard errors are in the parentheses. *, **, and *** represent statistical significance level at the 1%, 5% and 10% levels, respectively