Analyzing factors influencing the choices of accounting policies in listed companies on the HNX. The
study aimed at investigating factors affecting the selection of accounting policies based on the
quantitative research, using Ordinary Least Squares regression method (OLS). OLS is the estimate
on the data set obtained by the objects over time, so it considers that all coefficients are unchanged
between different objects and do not change over time (Gujarati, 2004). To select the research
model, Stepwise test was applied. Research data was collected from StockPlus with data of 100
companies from 2012 to 2016.
The research results are consistent with many previous studies. The author finds that there are nine
factors influencing the selection of accounting policies in firms listed on the NHX. This result is consistent
with Waweru, Ponsian Prot Ntui, Mangena (2011), Masahiro Enomoto (2015) . The difference is that
auditors have a significant influence on the selection of accounting policies in enterprises.
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ffecting profit strategy
Accounting policies Increase income Decrease income
Depreciation methods Straight line Diminishing value
method
Inventory-costing methods Fist in – first out Others
Provision for obsolete inventory Make no provision Make provision
Provision for bad debts Make no provision Make provision
Provision for devaluation of financial investment Make no provision Make provision
(Source: Kris Rowland Martin, 2002)
125
3. Results and Discussion
3.1. Descriptive statistics
Table 2: Descriptive statistics of dependent and independent variables:
Variable Mean
Std. Error
of Mean
Median
Std.
Deviation
Minimum Maximum
PERCENTAGE OF
INCOME-
INCREASING
ACCOUNTING
PROCEDURES
,6141 ,01611 ,5000 ,23120 ,17 1,00
COMPANY SIZE 2,535458 3,002256 11,318355 43,506820 0,000000 31,516161
FINANCIAL
ANALYSIS
1,50476 ,115203 1,00000 1,669449 0,000 11,000
BETA ,732474 ,0522527 ,600000 ,7202540 0,0000 3,5300
INTERNAL
FINANCING
19,4928 1,2590 15,0000 18,1137 0,0000 108,0000
CAPITAL
INTENSITY
,2686112 ,01587850 ,2163400 ,23010139 0,00000 ,89467
LABOUR FORCE
INTENSITY
,1015971 ,01796381 ,0450900 ,25720263 ,00398 3,08815
OWNERSHIP
DILUTION
2,665072 ,1119222 2,000000 1,6180399 0,0000 9,0000
PROPORTION OF
NON-EXECUTIVE
DIRECTORS
,038028 ,0055164 ,002350 ,0795594 0,0000 ,5946
PROFIT
DIRECTION
,0962624 ,04224291 ,1012650 ,61215797 -7,99570 1,00114
MANAGEMENT
TURNOVER
,26 ,030 0,00 ,439 0 1
BANK
OWNERSHIP
RATIO
,0211411 ,00549533 0,0000000 ,07963493 0,00000 ,78470
MANAGEMENT
OWNERSHIP
RATIO
,1556964 ,01480776 ,0363500 ,21458485 ,00010 ,88150
(Source: The Author)
126
Table 2 shows that the income-increasing accounting procedures accounting for
61.41% indicates that companies listed on the HNX have more income- increasing
accounting procedures than income-reducing accounting procedures. This is consistent with
positive and normative accounting theories which argue that managers choose accounting
policies to maximize their benefits. Thus, it is considered a reflection of weak management
and opportunism in companies. On the other hand, the percentage of non-executive directors
is low at 3.039%, indicating that non-executive directors may not have enough business
knowledge of the companies or they are not enough to monitor and manage business
operations effectively.
According to the Credit Department of the Central Bank, Vietnamese enterprises rely
heavily on debt financing. The leverage with mean of 1.70 indicates that the amount of debt
is 1.7 times the amount of shares.
The value of beta of 71.49% (less than 100%) proves that in this period, Vietnamese
enterprises are under high business risk, which can be derived from the 2008 global
economic crisis, hence, enterprises in Vietnam faced difficulties in expanding the market
and selling products.
““Internal financing accounted for 17.77% of total net assets, indicating that in
Vietnam a very small amount of profits is used to pay dividends. A typical evidence is
Cafef.vn, and a series of companies with large profits but not paying dividents such as Binh
Thuan Mineral (KSA), Construction Joint Stock Company No 5. (SC5), PFV Investment &
Trading Joint Stock Company, Vietinbank Securities (VietinbankSC).”
The capital intensity of 31% shows that fixed assets accounted for 31% of the total
assets in the enterprises. The capital intensity of industries at the reasonable level include:
Petroleum Exploration and Oil Production: 90%; Metallurgical Industry: 70%; Trade: 50%;
Food processing technology: 10% - 30%. Therefore, the average level of capital intensity of
enterprises of 31% is quite low, indicating that level of fixed assets in enterprises is not high.
The labour force intensity of 8.46% means that labor costs accounted for 8.46% of
renenue. In general, large annual revenue indicates that businesses pay a large amount of
salaries to employees, which implies a significant role workforce in the enterprises.
The bank ownership ratio is low at 2.53%. This suggests that banks are not playing a
significant role in running Vietnamese businesses. In Vietnam, banks often play the role of
lenders, with little role of investors or capital contributors.
127
3.2. Regression analysis and discussion
Table 3: Regression results
Coefficientsa
Model
Unstandardized
Coeffcients
Standardized
Coeffcients
t Sig,
Collinearity
Statistics
B
Std.
Error
Beta Tolerance VIF
9 (Constant)
.709 .020 40.192
.00
0
MANAGEMEN
T TURNOVER
.071 .015 .142 4.653
.00
0
.179
5.57
8
MANAGEMEN
T
OWNERSEHIP
RATIO
-.265 .031 -.185 -8.628
.00
0
.363
2.75
5
RENEVUE -
0.070
.000 -.202
-
14.189
.00
0
.824
1.21
3
AUDITORS
-.177 .015 -.341
-
11.508
.00
0
.197
5.08
7
FINANCIAL
DISTRESS
.029 .005 .145 5.857
.00
0
.276
3.62
0
BETA
-.039 .008 -.115 -4.762
.00
0
.280
3.57
5
CAPITAL
INTENSITY
-.048 .015 -.048 -3.160
.00
2
.703
1.42
2
FINANCIAL
LEVERAGE
.006 .002 .081 3.812
.00
0
.354
2.82
3
BANK
OWNERSHIP
RATIO
-.131 .052 -.062 -2.545
.01
1
.281
3.56
2
Dependent variable: % income-increasing procedures
(Adjusted R - square): 0.842
Durbin - Watson: 1.475
Akaike (AIC): 0.00708
(Source: The Author)
The model of analyzing the factors influencing income-increasing accounting
policies is as follows:
128
% IIAP = 0,709 + 0.142MT - 0.185MOR - 0.202CS - 0.341AU + 0.145FD -
0.115Beta - 0.048CI+ 0.081FL + 0.062BOR
Table 3 shows that the adjusted R2 of the model is 0.842, which means that the model
explains 84.2% of the factors influencing the income-increasing accounting procedures.
Research shows that leverage is a factor explaining the choice of accounting policies,
so the hypothesis H2 is supported. This is not consistent with studies of Aitken and Lotus
(2009); Missonier (2004); Tawfik (2006). However, it is supported by Astami and Tower
(2006).
The higher the level of labour force intensity, the more likely that managers will
select accounting policies to increase income, hypothesis H3 is supported. This research is
consistent with studies of Liberty and Zimmerman (1986); Elias (1990); Cullian and
Knoblett (1994);
The greater the business risk, managers are more likely to choose the income-
reducing accounting policies, the hypothesis H7 is supported. This study is consistent with
study of R.L.Hugerun and M.E. Zmijewxki (1978).
The higher the level of financial distress, the more likely it is that managers will
choose income-increasing accounting procedures, hypothesis H9 is supported. It is
consistent with studies of Schwartz (1982) and Lillien et al.(1988); Sude et al. (2007);
Masahiro Rnomoto (2015).
The new appointed managers will choose income-increasing accounting procedures,
hypothesis H10 is supported. This is contradict to studies of Beatty and Weber (2003);
Strong and Meyer (1987); Elliot and Shaw (1988); Yamaguchi (2013), but consistent with
study of Shuto (2010).
The higher the bank ownership ratio, the more likely it is that managers choose
income-increasing accounting procedures, hypothesis H11 is supported. This is
contradictory studies of Aoki and Patrick (1994); Hamamoto (2001); Okabe (1994);
The higher the management ownership ratio, the more likely it is that managers will
choose income-decreasing accounting policies, hypothesis H12 is supported. This research
result is consistent with study of Jensen and Meckling (1976); Warfield et al. (1995); Okabe
(1994).
In companies audited by big audit firms, managers tend to choose accounting policies
to reduce income, hypothesis H13 is supported. This is consistent with DeAngelo (1981) and
Nelson et al (2002).
In enterprises with high capital intensity, managers prefer accounting policies to
reduce income, hypothesis H16 is supported. This is consistent with study of R.L.Hugerun
and M.E.Zmijewxki (1978).
4. Conclusions and Policy Implications
129
This paper aimed at investigating factors affecting selection of accounting policies
of managers in 100 companies listed on the HNX. The author examined 16 factor: Company
size; Leverage; Labour force intensity; Ownership dilution; Internal financing; Proportion
of non-executive directors; Risk; lncentive plans; Financial Distress; Management
Turnover; Bank Ownership Ratio; Management Ownership Ratio; Auditors; Profit direction;
Govermental Equity; Capital intensity which may impact choices of accounting policies of
executives. The results showed that 9 factors influence selecting of accounting policies in
which 4 factors are associated with income-increasing accounting policies: management
turnover; financial distress; leverage; bank ownership management; 05 factors are associated
with income-decreasing accounting policies. Especially, among 9 influential factors, aditors
has the most significant impact (Beta of 0.341).
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