Conclusions
Almost investors pay close attention to firms’ earnings, however, this number can be
distorted by management. In those cases, the earnings cannot reflect firms’ performance
accurately. A high-quality earnings number which accurately reflects the firm’s current
operating performance is a good indicator of future operating performance. It is
also a useful summary measure for assessing firm value. Earnings quality can vary among
the firms as a function of accruals even in the absence of intentional earnings manipulation.
Unlike the determination of cash flows, the determination of earnings requires estimations
and judgments, and some firms require more forecasts and estimates than others. Those
firms in growing industries will typically have high accruals. However, accruals are likely to
contain estimation errors, which reduce earnings quality because they must be corrected in
future earnings and are irrelevant for valuation. Therefore, large accruals can indicate great
underlying volatility in the firm’s operations and low-quality earnings.
Most of the existing literature focuses on the relation between financing or investment
decisions and earnings quality of the firms. However, the evidence on the dividendsearnings quality relation is limited. Prior studies find that dividend payers’ earnings quality
is higher than that of dividend non-payers. These results are obtained by examining the
relation between dividend policy and earnings quality in developed and emerging markets.
This paper investigates whether dividend policy is related to earnings quality in Vietnam,
which is a frontier market, during the period between 2010 and 2016. The empirical evidence
indicates that dividend payers have higher earnings quality than dividend payers.
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Dividend policy and earnings
quality in Vietnam
Trang Thi Ngoc Nguyen
School of Finance,
University of Economics Ho Chi Minh City, Ho Chi Minh City, Vietnam, and
Phuong Kim Bui
School of Finance and Accounting,
Van Lang University, Ho Chi Minh City, Vietnam
Abstract
Purpose – The purpose of this paper is to examine the relationship between dividend policy and earnings
quality of Vietnamese listed firms.
Design/methodology/approach – The sample includes firms listed on Vietnam stock exchange during the
period between 2010 and 2016. Two measures of earnings quality are the annual firm-specific absolute value
of residuals from Dechow and Dichev’s (2002) model and from Dechow and Dichev (2002) as modified by
McNichols’s (2002) model. The firms’ dividend policy is captured by dividend paying status. This is a dummy
variable that takes the value of 1 if the firm pays dividends and 0 otherwise. In addition, dividend yield and
dividend payout ratio, which are continuous variables, are also used in this paper as alternative proxies for
dividend policy.
Findings – Using panel data analysis, this paper documents that dividend payers have higher earnings
quality than dividend non-payers. Dividends are an indicator of earnings quality. These findings are
consistent with prior studies. After controlling for variables that may be related to earnings quality as well as
for the year and industry fixed effects, this relation remains unchanged. In addition, this result is also robust
after controlling for firm fixed effects.
Originality/value – This paper offers the empirical evidence on the relation between dividend policy and
earnings quality in Vietnam, which is a frontier market.
Keywords Earnings management, Vietnam, Earnings quality, Dividend policy, Frontier market
Paper type Research paper
1. Introduction
There are various theories developed to explain the reason why firms pay dividends. One of
these explanations is signaling theory which proposes that firms pay dividends to signal
favorable information to the capital market. Because of asymmetric information, the
managers can access information that the market cannot. To reduce these information
asymmetries, the managers can send signal to investors through corporate financial
decisions. Dividend policy is a signaling device that the managers can use to convey
information about firms’ prospects to investors. However, the empirical evidence on this
theory is mixed (Bernartzi et al., 1997; Nissim and Ziv, 2001; Grullon et al., 2002; Grullon
et al., 2005). Recent studies investigate the information content of dividends by examining
dividends-earnings quality association and find that dividends provide information about
earnings quality (Tong and Miao, 2011; Skinner and Soltes, 2011; He et al., 2017; Deng et al.,
2017). Using data of developed and emerging markets, these studies show that dividend
payers’ earnings quality is higher than that of dividend non-payers.
Journal of Asian Business and
Economic Studies
Vol. 26 No. 2, 2019
pp. 301-312
Emerald Publishing Limited
2515-964X
DOI 10.1108/JABES-07-2018-0047
Received 14 July 2018
Revised 2 November 2018
1 June 2019
Accepted 19 July 2019
The current issue and full text archive of this journal is available on Emerald Insight at:
www.emeraldinsight.com/2515-964X.htm
©Trang Thi Ngoc Nguyen and Phuong Kim Bui. Published in Journal of Asian Business and Economic
Studies. Published by Emerald Publishing Limited. This article is published under the Creative
Commons Attribution (CC BY 4.0) licence. Anyone may reproduce, distribute, translate and create
derivative works of this article (for both commercial and non-commercial purposes), subject to full
attribution to the original publication and authors. The full terms of this licence may be seen at
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This paper examines the relation between dividend policy and earnings quality in Vietnam.
There are several reasons why we use Vietnamese data. First, examining this relation may be
more significant in Vietnam because Vietnamese firms’ reported earnings quality is lower than
that in developed markets. Second, dividend policy is less stable in Vietnam, especially a
substantial decrease in the proportion of dividend payers from 2010 onward. Third, Vietnam’s
investor protection environment is weaker than developed markets. Therefore, whether
dividends are an indicator of earnings quality in Vietnam is an important question.
Moreover, this paper is also motivated by the fact that prior studies on the relation
between dividend policy and earnings quality are mostly conducted in developed and
emerging markets. Thus, examining this relation in a different institutional setting such as
Vietnam, which is a frontier market, might provide further evidence on the information
content of dividends and help generalize the results.
Specifically, Vietnamese financial market is dominated by debt. Banks are the largest
suppliers of capital for firms and thus they have a great influence on the firms’ decision
making. The average debt-to-market equity ratio of the sample firms over the study period
is 3.18, which is very high. Thus, debt is significantly higher than equity in the firms’ capital
structure. Additionally, the equity market is thin and illiquid. The yearly proportion of days
with no trading volume, which is an inverse measure of trading activity, increases
substantially from 3 percent in 2010 to 31 percent in 2016. Consequently, the transaction
costs are so high that investors want to receive income from dividends but capital gains.
In addition, because of the negative impacts of the global financial crisis, the average
reported earnings of the sample firms decrease in the period 2010–2012 but these numbers
have increased from the year 2013 onward. Moreover, the average percentage of firms that
report losses is only 6 percent. However, there is a significant change in the proportion of the
firms paying dividends over the sample period. At the beginning of this period, 85 percent of
listed firms pay dividends whereas only 65 percent of firms do so in 2016. Therefore,
examining whether dividend payers have higher earnings quality in Vietnam during this
period is of interest.
In this paper, the annual firm-specific absolute value of residuals from Dechow and
Dichev’s (2002) model and from Dechow and Dichev (2002) as modified by McNichols’s
(2002) model are two measures of earnings quality. To capture dividend policy, both dummy
and continuous variables are used. Specifically, dividend paying status, dividend yield and
dividend payout ratio are used as independent variables. In addition, other factors that
may affect the earnings quality including earnings quality of the previous year, firm
performance, growth, firm size, firm age and financial leverage are also controlled.
Based on the sample of the firms listed on Vietnam stock exchange during the period
between 2010 and 2016, this paper finds the positive relation between dividend policy and
earnings quality. This means that dividend payers have higher earnings quality than that of
dividend non-payers. This empirical evidence indicates that dividends are informative
about earnings quality and is in line with Tong and Miao (2011), Skinner and Soltes (2011),
He et al. (2017) and Deng et al. (2017).
While a growing empirical research has focused on the relation between financing/
investment decisions and earnings quality, there is limited evidence on dividends-earnings
quality association. This paper contributes to the literature on the relation between dividend
policy and earnings quality by providing empirical evidence on this relation from a frontier
market in which the earnings quality is not high and thus dividends can deliver more
significant information content.
The remainder of this paper is structured as follows. The next section presents the
literature review on the association between dividend policy and earnings quality. Data and
methodology are described in Section 3. Section 4 provides the results and discusses the
findings. Robustness tests are presented in Section 5. Finally, Section 6 concludes the paper.
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2. Literature review
Earnings quality is an indicator of the quality of financial reporting. The quality of earnings
consists of a discretionary and a nondiscretionary component (Francis et al., 2004). The
nondiscretionary component of the earnings quality is determined by the business model
and environment, while the discretionary component depends on the financial reporting
process. Earnings quality is both a good indicator of future operating performance, and a
useful measure of firm valuation. High-quality earnings accurately reflect the current
operating performance or intrinsic value of a firm. Thus, high-quality earnings are also
called sustainable earnings. On the contrary, earnings have low quality when they are
managed. Managed earnings are the result of management’s purposeful intervention in the
process of financial reporting to obtain some private benefits (Schipper, 1989). Healy and
Wahlen (1999) mention three groups of incentives underlying earnings management
including capital market incentives, contractual incentives and anti-trust or government
regulation incentives. Earnings management occurs when managers use judgment in
financial reporting and in structuring transactions to alter financial reports to either mislead
some stakeholders about the underlying economic performance of the company or influence
contractual outcomes that depend on reported accounting numbers. Therefore, earnings
management decreases earnings quality. In Dichev et al.’s (2013) survey, CFOs believe that it
is difficult for outside observers to unravel earnings management. In any given period,
about 20 percent of the firms manage earnings to misrepresent economic performance, and
for such firms 10 percent of EPS is managed. Only about 60 percent of earnings
management is income increasing, while 40 percent relates to income-decreasing activities.
Many studies consider earnings management around corporate events such as initial
public offerings (Teoh et al., 1998a), seasoned equity offerings (Teoh et al., 1998b; Shivakumar,
2000) and acquisitions (Bergstresser et al., 2006; Louis, 2004; Karim et al., 2016) while other
studies explore managerial incentives for earnings management (Healy, 1985; Burns and
Kedia, 2006). Another strand of literature examines whether earnings management is affected
by dividend policy.
Following Lintner (1956), managers are reluctant to increase dividends unless they believe
that dividends can be sustained at the new level. Therefore, they want to maintain a constant
stream of dividends over time. By paying dividends, managers can convey information to
investors about the quality of the earnings numbers reported in their financial statements. In
their survey of CFOs, Brav et al. (2005) support this argument as they indicate that the stability
of future earnings and a sustainable change in earnings are two of the most important factors
in determining the firms’ dividend policies. Because fraudulently reported earnings typically
reverse in future periods (Dechow et al., 1996), they are not sustainable earnings. Thus, firms
that manage earnings are less likely to increase dividends.
According to the information content of dividends hypothesis, dividends could convey
information about the firms’ earnings prospects. Specifically, dividend increases signal good
news while dividend decreases signal bad news. Brav et al. (2005) find that managers believe
dividend decisions convey information to investors, however, they do not use dividends
explicitly and deliberately as a costly signal to change market’s perceptions concerning
future earnings prospects.
The first evidence on the relation between dividend policy and earnings management is
provided by Kasanen et al. (1996). They find that the firms manage earnings upwards in
response to pressure from large institutional shareholders to pay dividends. In addition, Daniel
et al. (2008) and Atieh and Hussain (2012) support the hypothesis that the firms manage
earnings to meet dividend thresholds. Both dividend payers and dividend non-payers manage
earnings, however, the likelihood of upward earnings management is significantly greater in
dividend payers than dividend non-payers. Using earnings persistence as a proxy for earnings
quality, Skinner and Soltes (2011) find that dividend payers have more persistent earnings
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than non-dividend payers. Tong andMiao (2011) also document that dividend paying status is
indicative of firms’ earnings quality thus a potential piece of information provided by
dividends is related to earnings quality. Although dividends are informative about earnings
quality, they do not ensure that a firm is not overstating earnings. Caskey and Hanlon (2013)
find that among 330 fraud-accused firms, 72 dividend-paying firms paid out $20bn in ordinary
cash dividends. However, firms accused of fraud are less likely to pay dividends relative to
non-fraud firms and are less likely to increase dividends or maintain a consistent relation
between earnings and dividends while committing fraud. The evidence on the positive relation
between dividend policy and earnings quality is also found in emergingmarkets such as China
and Indonesia (Deng et al., 2017; Sirait and Siregar, 2014). Furthermore, this relation varies
across countries with different institutional strength and transparency (He et al., 2017).
Overall, these studies find evidence that is consistent with the information content of
dividends hypothesis. This paper examines whether dividend policy provides information
about earnings quality within Vietnam’s institutional setting. Using a sample of the firms
listed on Vietnam stock exchange, this paper documents that dividend policy is an indicator
of earnings quality. This finding is in line with those prior studies.
3. Data and methodology
3.1 Data
This paper examines the relation between dividend policy and earnings quality of the
firms listed on Vietnam stock exchange. Two measures of earnings quality are absolute
value of the regression residuals from models (1) and (2). These two models are estimated
annually by the Industry Classification Benchmark (ICB) 10-industry classifications.
Following Daniel et al. (2008), Skinner and Soltes (2011), Tong and Miao (2011) and Atieh
and Hussain (2012), financial firms and utilities are excluded from the sample. In addition,
following Daniel et al. (2008), this paper requires at least five observations for each year
and each industry. To meet this requirement, two industries of oil and gas and
telecommunications are also excluded thus the number of industries is 6. Panel A of
Table I reports the number and percentage of observations per industry. Data are
extracted from Datastream. The final sample includes listed firms from 2010 to 2016,
resulting in 2,727 firm-year observations.
Variables Definition
Dependent variables
EQDD Absolute value of the regression residuals estimated using Dechow and Dichev’s (2002) model
EQDDM Absolute value of the regression residuals estimated using Dechow and Dichev’s (2002) model as
modified by McNichols (2002)
Independent variables
DIV Dividend paying status that takes the value of 1 if a firm pays cash dividends in year t and 0 otherwise
DY Dividend yield defined as dividends per share scaled by stock price
DIVE Dividend payout ratio defined as dividends per share scaled by earnings per share
Control variables
ROA Return on assets defined as net income plus interest expense scaled by total assets
SALESG Sales growth defined as change in sales scaled by previous year sales
BEME Book value of equity scaled by market value of equity
LNME Natural logarithm of market capitalization
AGE Number of years since a firm has been listed on Vietnam stock exchange
LTDA Long-term liabilities scaled by total assets
Table I.
Variables definition
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3.2 Earnings quality
Earnings quality is a multi-dimensional concept. Francis et al. (2004, 2005) identify seven
measures of earnings quality, including accruals quality, persistence, predictability, smoothness,
value relevance, timeliness and conservatism. Based on the underlying assumptions about the
function of financial reporting, these seven measures of earnings quality are classified into
accounting-based and market-based measures. The accounting-based measures are accruals
quality, persistence, predictability and smoothness, which are estimated using accounting data.
The market-based measures are value relevance, timeliness and conservatism. These measures
are estimated using both accounting data and returns data. Specifically, accounting-based
earnings quality measures assume that the function of earnings is to allocate cash flows to
reporting periods via accruals, while market-based earnings quality measures assume that the
function of earnings is to reflect economic income as represented by stock returns. In addition,
Francis et al. (2004, 2005) distinguish between innate and discretionary determinants of earnings
quality. Innate determinants derive from business models and operating environments, whereas
discretionary determinants are associated with accounting choices, implementation decisions,
managerial error, auditing, governance and enforcement. CFOs believe that about half of
earnings quality is determined by business model, industry and macroeconomic conditions
(Dichev et al., 2013).
Due to the availability of data, this paper uses accruals quality as a measure of earnings
quality. This measure is based on the view that earnings that map more closely into cash
flows are of better quality. Dechow and Dichev’s (2002) measure of earnings quality
captures the mapping of working capital accruals into last-period, current-period and
next-period cash flows from operations. Specifically, the first measure of earnings quality
(EQDD) is the absolute value of the residuals from Dechow and Dichev’s (2002) model:
DWCi;t ¼ g0þg1CFOi;t1þg2CFOi;tþg3CFOi;tþ 1þZi;t ; (1)
where ΔWCi,t is the change in working capital. CFOi,t-1, CFOi,t and CFOi,t+1 are cash flow
from operations of firm i for year t−1, year t and year t+1, respectively. All variables are
deflated by average total assets.
In additional, McNichols (2002) suggests adding variables capturing the change in
current period sales and level of property, plant and equipment to increase the explanatory
power of Dechow and Dichev’s (2002) model. Specifically, the second measure of earnings
quality (EQDDM) can be estimated from the following model:
DWCi;t ¼ g0þg1CFOi;t1þg2CFOi;tþg3CFOi;tþ 1þg4DSalesi;tþg5PPEi;tþZi;t ; (2)
where ΔSalesi,t is the change in sales and PPEi,t is property, plant and equipment. All variables
in Equation (2) are also deflated by average total assets. The firm-specific absolute value of the
residuals is estimated annually by the ICB from both Equations (1) and (2). Larger values of
residuals imply lower earnings quality because there is less precision about the mapping of
current accruals into current-period, last-period and next-period operating cash flows.
Because each measure has both strengths and weaknesses (Dechow et al., 2011), almost
studies that examine the effect of dividend policy on earnings quality use various measures
of earnings quality simultaneously. The measures of earnings quality estimated from the
Dechow and Dichev (2002) model and the Dechow and Dichev (2002) model as modified by
McNichols (2002) are used in many studies, such as Daniel et al. (2008), Tong and Miao
(2011), He et al. (2017) and Deng et al. (2017). Therefore, this paper also uses these two
measures to proxy for earnings quality.
3.3 Dividend policy
The main independent variable is dividend policy. It is proxied by dividend paying
status (DIV), which is a dummy variable that takes the value of 1 if the firm pays dividends,
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and 0 otherwise. In robustness tests, two alternative continuous proxies for dividend policy
are used instead of dividend paying status (DIV). Specifically, those are dividend yield (DY)
and dividend payout ratio (DIVE).
3.4 Control variables
In addition to dividend policy, other factors might also affect earnings quality. Following
previous studies, firm performance (ROA), growth (SALESG, BEME), firm size (SIZE),
financial leverage (LTDA) and firm age (AGE) are included in the model. Specifically, Doyle
et al. (2007) document that firms with poor performance will have incentives to manage
earnings. However, DeAngelo et al. (1994) suggest that poor performance can limit
opportunities to manage earnings whereas Francis et al. (1996) do not find an association
between poor performance and write-offs.
Besides that, Dechow et al. (2011) show a negative relation between growth and earnings
quality. In addition, Watts and Zimmerman (1990) argue that larger firms might have more
incentives to manage earnings than smaller firms. Therefore, larger firms are expected to
have higher earnings quality. According to DeFond and Jiambalvo (1994), managers in firms
with high leverage have incentives to manage earnings to avoid violating debt covenants.
Such actions can reduce earnings quality. LaBelle (1990) also shows that debt levels are
associated with earnings quality.
Furthermore, McNichols (2002) argues that growth firms have lower earnings quality
than mature firms. The maturity of the firms is positively related to earnings quality. He
et al. (2017) and Deng et al. (2017) support this argument whereas Sirait and Siregar (2014)
find that the relation between firm age and earnings quality is negative. Finally, following
He et al. (2017), prior year’s earnings quality is positively related to current year’s earnings
quality. Thus, the lagged dependent variable (EQL) is also included in the regression model.
In addition, all regressions include industry and year fixed effects.
3.5 Empirical model
To examine the relation between dividend policy and earnings quality, two measures of
earnings quality (EQDD and EQDDM) are regressed on dividend policy (DIV), while
controlling other variables that may affect earnings quality including earnings quality of
the previous year (EQL), firm performance (ROA), growth (SALESG and BEME), firm size
(SIZE), firm age (AGE) and financial leverage (LTDA).
In addition, to mitigate the potential endogeneity concerns, all other independent
variables are lagged by one year, following Skinner and Soltes (2011), Atieh and Hussain
(2012), Caskey and Hanlon (2013) and He et al. (2017). Thus, the empirical model takes the
following form:
EQi;t ¼ b0þb1DIVi;t1þb2EQi;t1þb3ROAi;t1þb4SALESGi;t1þb5BEMEi;t1
þb6SIZEi;t1þb7AGEi;t1þb8LTDAi;t1þmi;t : (3)
Table I presents definitions of all variables used in this paper.
To eliminate the influence of outliers, all variables are winsorized at the top and bottom
1 percent.
4. Empirical findings
The structure of the sample, by number and percentage of observations per industry, is
provided in Panel A. Panel B presents descriptive statistics of all variables used in the
regression model. The mean of DIV shows that the average percentage of observations paying
dividends is 70.1 percent. Additionally, Panel B of Table II shows that earnings quality
(EQDD) has an average value of 0.072. Compared with prior studies of Tong and Miao (2011),
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He et al. (2017) and Deng et al. (2017), Vietnamese firms’ earnings quality is lower than US
firms but higher than Chinese firms. The range of variation of most variables is not wide.
Thus, the dispersion is relatively narrow among all firms in the sample.
Table III compares dividend payers to dividend non-payers using univariate tests of the
difference between these two groups of firms. Means and medians of earnings quality
(EQDD), as well as other control variables including firm performance (ROA), sales growth
(SALESG), book-to-market equity ratio (BEME), firm size (LNME), firm age (AGE) and
financial leverage (LTDA) are reported in Table III. Table III shows the p-values of the t-test
for the difference in mean values and the Wilcoxon test for the difference in median values
between dividend payers and dividend non-payers.
Both the t-tests and Wilcoxon tests show that earnings quality (EQDD), firm performance
(ROA), sales growth (SALESG), book-to-market equity ratio (BEME), firm size (LNME) and
financial leverage (LTDA) are significantly different across dividend payers and dividend
non-payers. Specifically, Table III shows that means and medians of earnings quality (EQDD)
Panel A: number and percentage of observations per industry
Industry No. of observations Percentage of observations
Technology 125 5
Industrials 1,331 49
Consumer services 285 10
Health care 106 4
Consumer goods 471 17
Basic materials 409 15
Total 2,727 100
Panel B: descriptive statistics of variables
Variable Mean Median SD Min. Max.
EQDD 0.072 0.052 0.072 0.000 0.666
DIV 0.701 1.000 0.458 0.000 1.000
ROA 0.091 0.078 0.085 −0.150 0.416
LNME 11.754 11.639 1.458 8.811 15.871
SALESG 0.134 0.088 0.383 −0.645 1.946
BEME 1.691 1.449 1.026 0.335 5.936
AGE 5.582 5.000 2.615 2.000 16.000
LTDA 0.087 0.027 0.129 0.000 0.578
No. of observations 2,727
Table II.
Summary statistics
Measure of earnings quality
Dividend payers Dividend non-payers Tests for differences
Variable Nobs Mean Median Nobs Mean Median Mean Median
EQDD 1,912 0.070 0.049 815 0.078 0.057 −0.008*** −0.008**
Control variables
Dividend payers Dividend payers Tests for differences
Variable Nobs Mean Median Nobs Mean Median Mean Median
ROA 1,912 11.530 9.324 815 3.521 3.508 8.009*** 5.816***
SALESG 1,912 14.776 10.346 815 10.198 2.575 4.577*** 7.771***
BEME 1,912 1.500 1.305 815 2.140 1.928 −0.640*** −0.623***
LNME 1,912 11.908 11.792 815 11.393 11.215 0.515*** 0.577***
AGE 1,912 5.565 5.000 815 5.620 5.000 −0.055 0.000
LTDA 1,912 8.029 2.391 815 10.299 4.017 −2.270*** −1.626***
Notes:The sample includes 2,727 firm-year observations in the period from 2010 to 2016. Nobs is the number
of firm-year observations. **,***Statistical significant at the 5 and 1 percent levels, respectively
Table III.
Dividend payers and
dividend non-payers
comparisons
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of dividend payers are significantly smaller than those of dividend non-payers. Both dividend
payers and dividend non-payers manage their earnings, however, dividend payers have
higher earnings quality than dividend non-payers.
In addition, Table III also presents other differences between dividend payers and
dividend non-payers. Dividend payers’ financial leverage (LTDA) is much lower than that of
dividend non-payers. In contrast, firm performance (ROA) and firm size (LNME) of dividend
payers are significantly higher than those of dividend non-payers. This means that dividend
payers are larger, more profitable and less leveraged than dividend non-payers, consistent
with Tong and Miao (2011) and He et al. (2017). However, dividend payers have higher sales
growth (SALESG) and lower book-to-market equity ratio (BEME) than dividend non-payers
whereas these two groups of firms have no difference in age (AGE).
Table IV presents the correlation coefficients of all variables used in this paper. The
measure of earnings quality (EQDD) is negatively correlated with dividend policy (DIV).
Similarly, earnings quality (EQDD) is also negatively correlated with book-to-market equity
ratio (BEME), firm size (LNME), firm age (AGE) and financial leverage (LTDA). In contrast,
earnings quality (EQDD) is positively correlated with sales growth (SALESG). Additionally,
the correlation coefficients between the remaining variables are relatively low. Thus, it can
be concluded that multicollinearity is not a concern in the model.
To examine the relation between dividend policy and earnings quality, this paper uses two
measures of earnings quality, these are the absolute value of the residuals from the Dechow
and Dichev (2002) model and from the Dechow and Dichev (2002) model as modified by
McNichols (2002). These two measures of earnings quality (EQDD and EQDDM) are regressed
on dividend paying status (DIV). In addition, other determinants of earnings quality are also
controlled, including prior year’s earnings quality (EQL), firm performance (ROA), growth
(SALESG and BEME), firm size (LNME), firm age (AGE) and financial leverage (LTDA).
Table V presents the relation between dividend policy and earnings quality. In the first
column, the absolute value of the residuals from the Dechow and Dichev (2002) model is
regressed on dividend paying status. The coefficient of DIV is negative and statistically
significant at 1 percent level. This negative relation between DIV and EQDD implies that
dividend payers’ reported earnings quality is higher. Dividend payers often have a more
stable cash flow, resulting in higher earnings quality. Therefore, dividends can convey
additional information to investors about earnings. The similar results are obtained for the
residuals from the Dechow and Dichev (2002) model as modified by McNichols (2002) in the
second column. These results are consistent with Tong and Miao (2011), Sirait and Siregar
(2014), He et al. (2017) and Deng et al. (2017).
This paper finds evidence that dividend payers’ earnings quality is higher than that of
dividend non-payers. Dividends are an indicator of earnings quality in Vietnam, which is a
more opaque information environment than in developed markets. Therefore, dividend
policy can be a reliable information source in decision making for investors.
EQDD DIV ROA SALESG BEME SIZE AGE
DIV −0.056***
ROA −0.028 0.431***
SALESG 0.101*** 0.055*** 0.153***
BEME −0.034* −0.286*** −0.334*** −0.054***
LNME −0.041** 0.162*** 0.283*** 0.105*** −0.449***
AGE −0.065*** −0.010 −0.057*** −0.067*** 0.020 0.119***
LTDA −0.045** −0.081*** −0.176*** 0.031 0.035* 0.357*** −0.055***
Notes: *,**,***Statistical significant at the 10, 5 and 1 percent levels, respectively
Table IV.
Correlation matrix
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In addition, the coefficients of EQL are positive at the 1 percent level, meaning that the prior
year’ earnings quality is closely related to the current year’ earnings quality. Besides that,
the results on the other control variables are consistent with previous studies such as Barth
et al. (2008), Tong and Miao (2011), He et al. (2017) and Deng et al. (2017). Specifically, the
coefficients of book-to-market equity ratios (BEME), firm size (LNME) and financial
leverage (LTDA) are negative. Correspondingly, the firms that have higher book-to-market
equity ratios, larger and highly leveraged have higher earnings quality. However, the
coefficients of firm performance (ROA), sales growth (SALESG) and firm age (AGE) are
statistically insignificant. Therefore, this paper finds no relation between these firm
characteristics and earnings quality.
5. Robustness tests
To test whether the above results are robust and reliable, two alternative proxies for
dividend policy are used as explanatory variables. Specifically, two measures of earnings
quality (EQDD and EQDDM) are regressed on dividend yield (DY) and dividend payout
ratio (DIVE), respectively. The results presented in Table VI are obtained by replicating
the baseline regressions in Table V. In Tables VI and VII, only coefficients of dividend
policy are presented for conserving space.
Table VI presents the results where dividend yield (DY) and dividend payout ratio
(DIVE) are used to proxy for dividend policy. As reported in Table VI, both coefficients of
EQDD EQDDM
DIV −1.204*** (0.334) −1.551*** (0.374)
EQL 0.092*** (0.020) 0.129*** (0.027)
ROA −0.016 (0.019) −0.020 (0.020)
SALESG 0.008 (0.006) 0.008 (0.005)
BEME −0.473*** (0.168) −0.324* (0.172)
LNME −0.370*** (0.120) −0.399*** (0.121)
AGE −0.067 (0.058) −0.111* (0.063)
LTDA −0.035*** (0.011) −0.029** (0.012)
Constant 0.154*** (0.018) 0.147*** (0.018)
F 32.62*** 11.71***
R2 14.52% 8.36%
Industry fixed effects Yes Yes
Year fixed effects Yes Yes
No. of observations 2,727 2,727
Notes: The values in parentheses are standard errors clustered by firm. *,**,***Statistical significant at the
10, 5 and 1 percent levels, respectively
Table V.
The relation between
dividend policy and
earnings quality
EQDD EQDDM
DY −0.045** (0.021) −0.058*** (0.021)
DIVE −1.147*** (0.333) −1.354*** (0.344)
F 32.54*** 32.69*** 12.11*** 12.19***
R2 14.23% 14.43% 7.67% 7.98%
Industry fixed effects Yes Yes Yes Yes
Year fixed effects Yes Yes Yes Yes
Number of observations 2,727 2,727 2,727 2,727
Notes: The values in parentheses are standard errors clustered by firm. **,***Statistical significant at the
5 and 1 levels, respectively
Table VI.
The regression results
with other two proxies
for dividend policy
309
Dividend
policy and
earnings
quality
DY and DIVE are negative, consistent with the results presented in Table V. Thus, the
positive relation between dividend policy and earnings quality is robust when two
continuous explanatory variables are used instead of dividend paying status (DIV).
In addition, to obtain consistent estimates for regression parameters, the panel data
methodology is used in this paper to control unobservable heterogeneity. By including the
individual effect into the regression (unobservable firm characteristics), fixed-effects models
mitigate the omitted variable problem by capturing unobservable firm characteristics.
Table VII presents the results when the firm fixed effects are controlled. The research results
are robust with three proxies for dividend policy (DIV, DY and DIVE) as well as two measures
of earnings quality (EQDD and EQDDM). Therefore, both the original tests and the robustness
tests find the positive relation between dividend policy and earnings quality in Vietnam.
In summary, the above results find that the relation between dividend policy and earnings
quality is positive and statistically significant at 1 percent level. Specifically, firms paying
dividends have higher earnings quality. After controlling for variables that may be related to
earnings quality as well as for the year and industry fixed effects, this relation remains
unchanged. In addition, the findings are not affected by the firm fixed effects.
6. Conclusions
Almost investors pay close attention to firms’ earnings, however, this number can be
distorted by management. In those cases, the earnings cannot reflect firms’ performance
accurately. A high-quality earnings number which accurately reflects the firm’s current
operating performance is a good indicator of future operating performance. It is
also a useful summary measure for assessing firm value. Earnings quality can vary among
the firms as a function of accruals even in the absence of intentional earnings manipulation.
Unlike the determination of cash flows, the determination of earnings requires estimations
and judgments, and some firms require more forecasts and estimates than others. Those
firms in growing industries will typically have high accruals. However, accruals are likely to
contain estimation errors, which reduce earnings quality because they must be corrected in
future earnings and are irrelevant for valuation. Therefore, large accruals can indicate great
underlying volatility in the firm’s operations and low-quality earnings.
Most of the existing literature focuses on the relation between financing or investment
decisions and earnings quality of the firms. However, the evidence on the dividends-
earnings quality relation is limited. Prior studies find that dividend payers’ earnings quality
is higher than that of dividend non-payers. These results are obtained by examining the
relation between dividend policy and earnings quality in developed and emerging markets.
This paper investigates whether dividend policy is related to earnings quality in Vietnam,
which is a frontier market, during the period between 2010 and 2016. The empirical evidence
indicates that dividend payers have higher earnings quality than dividend payers. Although
Vietnam’s institutional settings are different from those of developed markets, the positive
EQDD EQDDM
DY −0.110*** (0.028) −0.118*** (0.028)
DIV −1.211** (0.511) −2.081*** (0.547)
DIVE −1.606*** (0.434) −1.789*** (0.422)
F 20.35*** 14.31*** 14.26*** 11.21*** 7.20*** 7.12***
R2 6.76% 6.39% 6.12% 3.84% 3.87% 3.38%
Firm fixed
effects
Yes Yes Yes Yes Yes Yes
No. of
observations 2,727 2,727 2,727 2,727 2,727 2,727
Notes: The values in parentheses are robust standard errors. **,***Statistical significant at the 5 and 1 percent levels, respectively
Table VII.
The regression results
with firm fixed effects
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relation between dividend policy and earnings quality still holds. This result is robust with
three proxies for dividend policy and remains unchanged after controlling other factors as
well as the firm fixed effect. The reported earnings of dividend payers are more reliable than
that of dividend non-payers, thus, investors can refer to dividend policy for assessing financial
health of firms. Therefore, understanding the relation between dividend policy and earnings
quality can help investors make right decisions.
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Further reading
Pinkowitz, L., Stulz, R. and Williamson, R. (2006), “Does the contribution of corporate cash holdings
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Corresponding author
Phuong Kim Bui can be contacted at: buikimphuong@vanlanguni.edu.vn
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