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(1)

Analysis of Tax Aggressiveness and

Financial Reporting Aggressiveness on

Public Companies in Indonesia

2010-2014

(2)

Agenda

Introduction

Introduction

Literature Review

Literature Review

Research Method

Research Method

Empiricial Result

Empiricial Result

Conclusion

Conclusion

(3)

Introduction

The quality of financial statements is important to stakeholder in making

decisions related to investment, credit and improves market efficiency.

• The intended use of the financial statements may create incentives for the

management company to manipulate financial statements in order to report the company's best performance and meet the expectations of stakeholders. Companies are trying to manage their net income profit which is often called by financial reporting aggressiveness.

• Financial reporting aggressiveness actions can have negative impacts for the

company through the payment of taxes.

Frank et al (2009) states that the tax planning by lowering the value of the

taxable income, either through tax evasion or not, is referred to tax aggressiveness.

Tax aggressiveness can be done in various ways, including finding a gap

(loopholes) contained in the tax laws so often referred to as tax avoidance, tax sheltering and tax management (Hanlon and Heitzman, 2010).

(4)

Introduction

Frank et al (2009) conducted a research on the relationship of

tax and financial reporting aggressiveness in America using

residual permanent differences (DTAX) as the measurement. He found that there is a strong positive relation between these two constructs. It means that the company able to increase the level of corporate profits but reported a low tax payment.

Tanya and Fifth (2012) developed another way to measures tax

aggressiveness, that called abnormal book tax differences (ABTD).

The purpose:

Expand the Frank et al (2009) by using Indonesian capital market data

Using the other proxy of tax aggressiveness that developed by Tanya and Fifth (2012)

(5)

Literature Review

Quality of Financial Reporting

• Financial statements contains a lot of information that can be used by stakeholders to assist the decision making process.

• High financial statements quality can be used to make the right decision.

To meet stockholder expectation, management used to do the

earning management to maximize profits and increase the value of the company's market value.

This earnings management activities will impact the difference in

taxable income and hide the actual condition of the company.

At which time the company reported accounting profit is higher than

the burden of the tax to be paid will be higher also.

Such conditions indicate a tradeoff between earnings management

activities and management of corporate taxes.

(6)

Literature Review

Financial Reporting Aggressiveness

• Frank et al (2009) states that the activities aimed at increasing the

company's profit with earnings management, whether appropriate or not in accordance with generally accepted accounting principles known as the financial reporting aggressiveness.

• In this study, financial reporting aggressiveness have the same context with earnings management.

• Aggressive financial reporting can be measured by discretionary accruals.

• Several measure that usually used in detected aggressive financial are Model Jones (1991), Dechow et al (1995), Kasznik (1999) and Kothari (2005).

(7)

Literature Review

Tax Aggressiveness

Tax avoidance is define as the reduction of explicit taxes ( Hanlon and

Heitzman, 2010 ;Dyreng et al., 2008).

The tax aggressiveness represents a continuum of tax planning strategies of the

company.

Different people will have different opinions about the degree of aggressiveness

of a transaction.

• Tax planning behavior of the company and can be discuss in various terms such

as tax aggressiveness, tax sheltering, tax evasion or non-compliance.

Hanlon and Heitzman (2010) emphasizes that the definition of tax

aggressiveness are not limited to specific measurement methods.

Tax avoidance measure by several methods such as effective tax rate, long run

effective tax rate, book tax differences, discretionary or abnormal measure of tax avoidance, unrecognized tax benefits and tax shelter firms.

(8)

Literature Review

Tax Aggressiveness Measurement

• Frank et al (2009) is the first literature conducted research about the relationship of tax and financial reporting aggressiveness.

• Using their own of proxy of discretionary permanent differences (DTAX), Frank et al (2009) include that tax and financial reporting aggressiveness are significantly and positively related.

• It indicates that there is nonconformity between financial

accounting standards and tax law allows firm to manage book income upward and taxable income downward.

Similar studies have also been carried out in Indonesia by

Kamila (2014) and Ridha (2014). The results show that there is no tradeoff between tax and financial reporting aggressiveness in Indonesia’s manufacturing company.

(9)

Literature Review

Tax Aggressiveness Measurement

• Tang and Fifth (2012) develop ABTD and NBTD measures.

• Tang and Firth (2012) using estimation models that can divide the book-tax differences into two sources, normal and abnormal book book-tax

differences. Normal book-tax differences (NBTD) is estimated by regression of total BTDs on discretionary items and using the unexplained portion of BTDs as measure of ABTD.

• Tang and Firth (2012) proved that ABTD negative effect on earnings

because it contains information of relevance earnings management and tax management.

(10)

Literature Review

Hyphotesis

10 H1 Tax aggressiveness measured by discretionary permanent

differences (DTAX) positively related to financial reporting aggressiveness.

H2 Financial reporting aggressiveness positively related with tax aggressiveness measured by discretionary permanent

differences (DTAX).

H3. Tax aggressiveness measured by abnormal book tax

differences (ABTD) positively related to financial reporting aggressiveness.

(11)

Research Method

Models

11

DACCit : dicretionary accrual

DTAXit : dicretionary permanent differences

ABTDit : abnormal book tax differences

PTROAit : pretax income divide by total asset at year t-1

LEVit : sum of long term debt divided by total asset

LCF_Dit : dummy variable that equals 1 when an entity reported loss

carry forwards

FOR_Dit : dummy that equals 1 when the value of foreign income > 0

(12)

Research Method

Models

12 DACCit : discretionary accrual

DTAXit : discretionary permanent differences ABTDit : abnormal book tax differences

PTROAit : pretax income divide by total asset at year t-1 LEVit : sum of long term debt divided by total asset

LCF_Dit : dummy variable that equals 1 when an entity reported loss carryforwards

FOR_Dit : dummy that equals 1 when the value of foreign income > 0

SIZEit : natural log of total assets

(13)

Research Method

Financial Reporting Aggressiveness Measurement

13

TACCit : total accruals = ((EBEIit +TTEit) – (CFOit+ITPit)) EBEIit : earning before extra ordinary item

TTEit : total tax expense

CFOit : cash flow from operating activities ITPit : income tax paid

∆REVit : change in sales from year t-1 to year t

∆ARit : change in account receivables from year t-1 to year t

PPEit : gross property, plant and equipment

ԑit discretionary accruals

(14)

Research Method

Tax Aggressiveness Measurement

14 BTD it = β0 + β1 ∆INVit + β2 ∆REV it + β3 NOL it + β4 TLU it + β5 BTD it-1 + ԑ it

BTDit : book tax differences

∆INVit : changes in gross fixed asset from year t-1 to

year t

∆REVitt : change in sales from year t-1 to year t

TLUit : the value of tax losses utilized

NOLit : net operating loss

BTDit-1 : book tax differences from year t-1

it

Ԑ : error term

(15)

Research Method

Tax Aggressiveness Measurement

15 PERMDIFFit = α0 + α1INTANGit + α2UNCONit + α3MIit + α4CSTEit +

α5∆NOLit + α6LAGPERMit + εit

The proxy used in this study are DTAX adopted by Frank et al (2009) and Kamila (2014). The discretionary permanent differences is the residual value of PERMDIFF’s equation regression.

PERMDIFFit : permanent differences divided by total aset at t-1

INTANGit : goodwill and other intangibles divided by total aset at t-1

UNCONit : consolidated net income (loss) divided by total aset at t-1

MIit : Minority net income or loss divided by total aset at t-1

CSTEit : current state tax expense divided by total aset at t-1

∆NOLit : changes in net operating loss carryforward divided by total

aset at t-1

LAGPERMit : permanent differences in year t-1 divided by total aset at t-1

(16)

Research Method

16 • Listed company in IDX on 2010 – 2014

• Not industry specific that have a special treatment in taxation ie: construction, oil and gas, shipping.

• Not financial industry • No corporate action

(17)

Empirical Result

(18)

Empirical Result

(19)

Empirical Result

19

Hypothesis DPERM ABTD

Coeff p-value Coeff p-value

DPERM/ABTD + .3002203 0.000*** .2521715 0.000***

PTROA - .174766 0.000*** .1827347 0.000***

LEV + -.0078229 0.333 -.0063209 0.030**

LCF-D + -.0130299 0.043** -.0169055 0.001***

FOR-D + .0033923 0.365 .0038373 0.003***

SIZE - -.0040113 0.050** -.0045051 0.009***

CONS .0632194 0.074 .0835633 0.000

N 785 785

R-square 0.1435 0.1445

(20)

Empirical Result

20 Hypothesis

DPERM ABTD

Coeff p-value Coeff Coeff

DACC + .0442028 0.000*** .0572474 0.000***

PTROA - .1570568 0.000*** .1543425 0.000***

LEV + -.0105168 0.030** -.0184254 0.004***

LCF-D + -.0111278 0.001*** .0021973 0.320

FOR-D + .0115501 0.003*** .0119543 0.011**

SIZE - -.0025043 0.009*** -.0010009 0.224

CONS .0759007 0.000 .0092842 0.368

N 785 785

R-square 0.2150 0.1450

(21)

Empirical Result

21

Tax aggressiveness influence the financial reporting

aggressiveness and vice versa.

Both measurement DPERM and ABTD consistently have positive

influence to financial reporting aggressiveness.

ABTD as proxy to measuring tax aggressiveness show the

consistent result with DPERM .

Control variables effect on the research results also show a similar

value between DPERM and ABTD proxy.

The result refers to prior research by Hanlon and Heitzman (2010 )

which states that the various method of measurement of tax aggressiveness with permanent differences content show consistent results.

But in this study, ABTD can not be said to be better in measuring

(22)

Conclusion

22

Conclusion

• The results show that there is a positive and significant relation between tax

and financial reporting aggressiveness.

• This indicates that in accordance with the study of Frank et al (2009), a

public company in Indonesia does not face the problem of trade-offs in decision making related to the value of net income and tax payment.

• This may be an indication that the accounting rules and taxation Indonesia

has loopholes that can be exploited by companies to manage their book and tax income.

• The results also showed that aggressiveness measurement using a

permanent tax differences (DPERM) or abnormal book tax differences (ABTD) showed consistent results.

• This proves that the content of permanent differences in both proxies are

(23)

Conclusion

23

Implication

• The results show that in accordance with previous studies that

companies in Indonesia does not have a trad off in doing the tax and financial reporting aggressiveness.

• This indicates that the company can reduce taxable income without reducing net income for accounting purposes.

• So the regulator needed to increase awareness in examinations

because of of tax and financial reporting aggressiveness increasingly difficult to detect.

(24)

Conclusion

24

Limitation

Due to limited time , the study was conducted within only 5 years

period. Further research is recommended to add the study period for the activities of tax and financial reporting aggressiveness can be seen more reliably.

The model is limited research on the model of aggressiveness taxes

by Frank et al (2009 ) and Tang and Fifth ( 2012) as well as a model of financial reporting aggressiveness by modified Jones (Dechow et al, 1995). Further research can be done using different measuring methods.

This study also limited to controlling only five control variables, which

are PTROA , LEV , LCF_D , FOR_D and SIZE.

Further research can exploit the other variables such as family

(25)

THANK YOU

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