(2013) in Korea, Grubert and Altshuler (2016) in
France, Brandstetter (2017) in Germany. The income
shifting strategy that is carried out is to adjust
commercial profit and fiscal profit. The income
shifting strategy can be done by delaying revenue
recognition and accelerating the recognition of
expenses in the fiscal year one year before lower tax
rates are imposed. Referring to the results of previous
research, this research predicts that “Indonesian
public companies are suspected of implementing an
income shifting strategy in the one year period prior
to the enactment of a lower tax rate”
If it is proven management of public companies
do income shifting strategy so the next question is
which factors influences income shifting strategy?
What factors affecting tax avoidance depends on the
underlying theory. Referring to the theory of capital
structure (Ross, Westerfield, and Jaffe, 2015) said
that companies using debt in the capital structure have
lower the tax charges than others. Previous studies
found evidence that leverage have negative effects on
tax avoidance (Lin, Tong, and Tucker, 2014).
Another previous research by Kovermann (2018) also
proved that tax evasion behaviour are lower in
company with the higher level of leverage. Referring
to the capital structure theory and the results of
previous research, then this research is suggesting
that the company with higher debt was lower income
shifting.
Tax avoidance studies have also found
widespread evidence of their underlying motives, and
the implications of tax avoidance (Hanlon and
Heitzman, 2010). The conventional view holds that
management conducts tax avoidance for efficiency
purposes. This has an impact on improving the
prosperity of the owner, but the agency theory
perspective developed by Desai and Dharmapala
(2007) states that management could avoid taxes to
make personal gain. Therefore, the development of
tax avoidance research further considers corporate
governance mechanisms, and it is evident that tax
avoidance and its implications are influenced by
corporate governance mechanisms.
Based on the perspective of agency theory, Nemis
and Cetenak (2012) state that audited financial
statements are a monitoring mechanism to provide
financial information to users. The quality of the
information contained in these statements is strongly
influenced by the quality of the audit that can be
determined by two factors namely: (1) the auditors’
capabilities in running the audit process, and (2). their
independence from their clients. Richardson, Taylor,
and Lanis (2015) state that the quality of auditors has
a crucial role in reducing agency problems that arise
due to conflicts between management and owners.
Previous research that examined the influence of
the audit quality on tax avoidance, we found it is not
conclusive. The test results by Heltzer, Mindak, and
Shelton (2012) found no significant evidence of
auditor influence on tax avoidance. But another
research has proven that tax avoidance is lower in
companies that are audited by qualified auditors
(Kanagaretnam, Höglund and Sundvik, 2019).
Referring to the corporate governance mechanism
theory and the results of previous research, then this
research is suggesting that the quality of auditing
lower income shifting.
This study aims to find empirical evidence
whether Indonesian public companies implement
income shifting strategies to respond to tax rate
reduction policies, and also find empirical evidence
whether income shifting strategies are influenced by
the level of leverage and the quality of the audit. The
results of this study are expected to contribute to the
development of tax avoidance research. Our research
should be useful to regulators attempting to reduce
corporate malfeasance, to investors in being more
careful when using earnings report information and
paying attention to corporate and institutional
characteristics when investing.
2 METHODOLOGY
From 664 Indonesian public companies listed on the
Indonesian Stock Exchange (IDX) up to 2019, we
determine the following selection criteria: 1) Non
financials industry because this industry is strictly-
regulated industry; 2) Non real estate and
constructions industry because this industry has their
own accounting rules, for example revenue
recognition; 3) Non mining industry because they
have different tax arrangements to other industries
(lex-specialist); 4) Availability of financial data and
other data required to measure all the variables used
in this research. The final sample of 343 firms
represents 51.89% of all observations.
There are two models used to answer the research
questions. The value of income shifting is calculated
using the book-tax differences approach, referring to
Tang and Firth (2012), the formula used is as follows:
BTDi = αi + α1TAXi + α2FIASi + α3SALESi
+ α4OINi + εi (1)
Operational Variables of Model (1)