Factors that have positive impact on the quality of accounting information
of construction enterprises listed on the Vietnamese stock exchange in ascending
order are MTPL, KTV, KSNB, KTV, VTQT and NVKT with non-standardized
coefficients of 0.09, 0.175, 0.145, 0.200, and 0.241, respectively, and estimated
standardized coefficients of 0.163, 0.232, 0.236, 0.328, 0.434, respectively, at
5% significance level. These results support the hypothesis H9; H7; H5; H1; H6.
Factors that have negative impact on the quality of accounting information
of construction enterprises listed on the Vietnamese stock exchange include
DTXL (β = -0.206) supporting hypothesis 8.1 and HVQT (β = - 0.214) with
non-standardized beta coefficient of -0.247, -0.357 which supports hypothesis
2.1.
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method makes it easy to collect
information from financial statements and annual reports in listed companies;
however, it has its shortcomings: it focuses on surveying the viewpoints of users
of financial statements, making it difficult to determine the exact value of the
enterprise
Measurement through the stock market's reaction to changes in the
financial statements. This measurement is done through the changes of data on
the financial statements, determination of loss when re-creating the financial
statements, the risk of information disclosure ... There are studies by Beretta and
Bozzlan (2006), Roudakin (2011), Hirschey et al (2012), Dang Thi Thuy Hang
(2016) ... Measurement according to this viewpoint surveys financial report
makers in listed enterprises, and mention information on notes to financial
statements or non-financial information. However, the characteristics of
accounting information and the overall picture of the quality of accounting
information in financial statements have not been fully described.
2.1.2. Direct measurement of the quality of accounting information on
financial statement
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Based on the description of information characteristics to assess the quality
of accounting information, it is possible to measure according to individual
characteristics or to measure all characteristics of accounting information on the
financial statements. Viewpoints about the characteristics of accounting
information on the financial statements are regulated by professional accounting
firms (IFRS Framework, FASB, AASB, VAS ...). There are studies of WinKler
(2000), Houssain (2008), Nguyen Thi Phuong Hong and Duong Thi Khanh Linh
(2014), Beest et al (2009).This viewpoint of measurement allows a more direct
and comprehensive assessment of accounting information on the financial
statements from the perspective of the financial report issuer.
2.1.3. Selection of the viewpoint to measure the quality of accounting
information on financial statements
The chosen viewpoint in the thesis is direct measurement of the quality of
accounting information on the financial statements (according to characteristics
of accounting information) because: Ultimately, quality must be assessed based
on its responsiveness to users of information, so the accounting information is
valuable when its characteristics are fully assured. In addition, the direct
measurement viewpoint allows the determination and measurement of
accounting information in the most complete and convincing way, providing
comprehensive and multidimensional information to determine the level of
impact of accounting information on the activities of enterprises.
2.1.4. Overview of measuring the quality of accounting information by
characteristics
In this content, the thesis focuses on overview of the characteristics of
accounting information described by major professional firms (the International
Accounting Standards Council - FASB and International Accounting Standards
Board - IASB); The convergence of opinion between these two firms occurred
when issuing the International Accounting Standards. The measurement
viewpoint of several countries (Australia, China, France and in Vietnam) and the
characteristics of accounting information on the financial statements are
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described quite diversely (completeness, faithful representation, transparency,
understandability and timeliness).
In addition, an overview of characteristics of accounting information on the
financial statements is described in a number of studies applying the views of
the IASB that good-quality accounting information means “providing useful
financial information for users" and in achieving usefulness, the fundamental
and enhancing characteristics are two representative characteristics of the
quality of accounting information on the financial statements.
In addition, in a number of studies applying the views of the IASB about
the characteristics of accounting information on the financial statements, it is
shown that good-quality accounting information means “providing useful
financial information for users"; to achieve that usefulness, the fundamental and
enhancing qualitative characteristics are two representative characteristics for
the quality of accounting information on the financial statements.
2.2. Overview of studies on factors affecting the quality of accounting
information on financial statements
2.2.1. Overview of research viewpoint on factors affecting the quality of
accounting information on financial statements
The presented viewpoints on factors affecting the quality of accounting
information are: viewpoint that highly regards the relevance of information to
users, viewpoint that highly regards the information creation process and
viewpoint on Total Quality Management (TQM). Based the analysis of each
research viewpoint’s pros and cons, in this thesis, the TQM viewpoint is selected
in to study factors affecting the quality of accounting information on the
financial statements and approach factors with comprehensive and systematic
impact on the internal characteristics of enterprises and the external impacts on
the quality of accounting information on the financial statements.
2.2.2. Overview of empirical studies on factors affecting the quality of
accounting information on financial statements
Regarding studies related to the thesis topic in Vietnam and in the world
during the period of 1995-2018, two basic groups of factors can be generalized: the
8
group of internal factors (including factors of governance, human being,
information technology application, operational capacity, internal control
mechanisms, characteristic of listing, training activities, corporate culture ...) and
the group of external factors (political environment, legal environment, listing on
many stock exchanges ...). In addition, the overview shows that studies on this topic
produce quite diverse results; with different research areas and angles, there may be
similar results, but there are also results that negate each other.
2.3. Research gap
From the literature review process, the author found that there exist the
following gaps in previous studies in the world and in Vietnam:
Firstly: The viewpoints to measure the quality of accounting information
on the financial statements in previous studies have only focused on the indirect
measurement method. In spite of some studies on this topic according to the
direct method, up to now, there are very few comprehensive studies on
fundamental and enhancing qualitative characteristics) from the point of view of
measurement of the IASB 2018.
Secondly: In the overview of factors affecting the quality of accounting
information on the financial statements from domestic and foreign studies, it is
shown that these factors are quite diverse. Currently, studies have not been
conducted to identify and measure the impact level of factors on the quality of
accounting information on the financial statements in listed construction
companies. In addition, there is no study mentioning the impact of distinctive
operational characteristic of the construction industry on the process of
supplying and presenting accounting information on the financial statements.
Thirdly: Empirical studies mainly apply descriptive statistics and SPSS
software. No study has conducted verification of the linear structural model to
measure factors affecting the quality of accounting information on the financial
statements in this field. Therefore, verifying the impact and impact level of
factors on the quality of accounting information on the financial statements of
listed enterprises is a gap that requires further studies.
9
CHAPTER 3: THEORETICAL BASIS AND RESEARCH MODEL
3.1. Theory of the quality of accounting information on financial statements
3.1.1. Concept of accounting information
According to Accounting Law No. 88/2015/QH13, accounting information
on the financial statements “is information about the business and production
process of the enterprise that reflects the financial situation, results and
operation of the enterprise, are expressed in the form of value, material and
labor, is obtained from the accounting system, and is shown on the financial
statements to meet the needs of related subjects”.
3.1.2. Concept of quality of accounting information on financial statements
Based on the International Accounting Standard 1 (IAS 01), the thesis
builds the concept of quality of accounting information on financial statements
as “providing useful financial information about enterprises for current, potential
investments, lenders and other creditors in making decision.”
3.1.3. Characteristics of accounting information described from the viewpoint
of international accounting standards
Characteristics specified in the IAS 01 — Presentation of Financial
Statements include fundamental and enhancing characteristics.
Fundamental characteristics include: relevance and truthful presentation
Relevance: It is understood as information that helps users to easily adjust
their decisions to suit the circumstances. To determine the value of accounting
information to decisions of users, accounting information must ensure predictive
value and confirmatory value. Regarding predictive value, user uses the input
information to predict future results. Regarding confirmatory value, information
provided will confirm events that have occurred or revise previous plans.
Truthful presentation: Information shown on financial statements about
economic operations is understood to be complete, neutral, and free from error
with no additions, omissions or adjustment. Specifically:
Completeness: Information must fully reflect the nature of the economic
phenomenon to be depicted.
10
Neutrality: Information must be depicted without bias or manipulation to
achieve the desired personal outcome or influence the decision of users into a
particular direction.
No errors: There is no material misstatement in the information presented.
Free from error: Information must be depicted without substantial
inaccuracies.
Enhancing characteristics include:
Comparability: This is the requirement to quantify information according to
a unified criterion to help users realize the similarities and differences between
economic phenomena. Therefore, when measuring and recording, accountants
must be consistent in use accounting methods and procedures over the
accounting periods without changing arbitrarily.
Verifiability: The connotation of this characteristics means when
information is presented in a truthful manner, it must be supported by evidence
rather than without any basis.
Understandability: Information must be provided in time to be useful for
users before it is no longer capable of influencing their decisions.
Understandability: accounting information must be presented clearly and
concisely, avoid being lengthy and using polymorphic words that make it
Limitations of information quality
Materiality: This refers to the impact level of omission or misstatement of
financial information when presenting information that is significant enough to
impact the decisions that users make. This characteristic is considered to be a
limitation because it affects all characteristics of information quality.
Costs: The benefits of financial statements are expressed in qualitative and
quantitative aspects, which must be proven for the costs incurred when
preparing and presenting the accounting statements.
3.2. Fundamental theory for identifying factors
3.2.1 Agency Theory
Representative theory refers to the gap of interests between principals and
their agents that gives rise to negative behaviours; in addition, it also mentions
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external monitoring mechanisms to reduce such behaviours. In applying this
theory, the author builds groups of factors that can affect the quality of
accounting information on financial statements, including: Profit management
behaviour, independent audit, the role of internal control.
3.2.2. Resource dependency theory
This theory determines the contribution of managers and employees in
enterprises in the process of bridging the gap with the surrounding environment.
This theory raises expectations that the factors of the role of managers and
competency of accounting staff affect the quality of accounting information on
financial statements.
3.2.3. Information processing theory
This theory refers to the ability to regulate within the organizational
structure, the ability to increase information processing capacity to minimize
environmental risks. This theory is applied to propose the relationship of how
the role of information technology application, training and enhancement of
accounting staff affects the quality of accounting information on financial
statements.
3.2.4. Institutional theory
This theory specifies that the change of the legal environment will create
pressure leading to changes in management and even in the operational scale of
the operations, which more or less affects effect accounting. This theory is
applied to explain the impact of the legal environment on the quality of
accounting information on financial statements.
3.3. Distinctive operational characteristics of construction enterprises on
the Vietnamese stock exchange
In this section, the author analyzes the basic distinctive characteristics of
listed construction enterprises that affect the process of acquiring and providing
accounting information on financial statements. The basic distinctive
characteristics to be analyzed here are: product, production process,
consumption and capital structure.
12
3.4. Research model and hypotheses
3.4.1. Proposed research model
Figure 3.1. Proposed research model
3.4.2. Research hypotheses
The author's research hypotheses are summarized in the following table:
Table 3.1: Synthesis of research hypotheses and theoretical basis
Hypothesis Content Theoretical basis
H1
The role of managers has a positive
impact on the quality of accounting
information on the financial statement
Agency theory
Resource dependency
theory
H2
Profit management behaviour has a
negative impact on of accounting
Agency theory
Role of managers
Earning management
behaviour
Training activities
Accounting software
Internal control
Competency of
accountants
Independent audit
organization
Distinctive operational
characteristics of the
construction industry
Legal environment
Accounting
information
quality
Fundamental
characteristic
Enhancing
characteristic
13
information on the financial statement
H3
Skill training and enhancement for
accounting staff has positive impact
on the quality of accounting
information on the financial statement
Agency theory
Information processing
theory
H4
The accounting software has
positive impact on the quality of
accounting information on the
financial statement
Information processing
theory
H5
The internal control system has
positive impact on the quality of
accounting information on the
financial statement
Agency theory
Information processing
theory
H6
The competency of the accounting
staff has positive impact on the
quality of accounting information on
the financial statement
Information processing
theory
Resource dependency
theory
H7
The role of independent auditing
firms has positive impact on the
quality of accounting information on
the financial statement
Information processing
theory
H8
Distinctive characteristics of the
construction industry has negative
impact on the quality of accounting
information on the financial statement
H9
The legal environment has positive
impact on the quality of accounting
information
Institutional theory
14
CHAPTER 4: RESEARCH METHODOLOGY
4.1. Building the research process
To verify the research models and hypotheses, the author uses a
combination of qualitative and quantitative research methods.
4.2. Performing qualitative research
In qualitative research, the author conducts discussions with experts. The
goal of this method is to determine the suitability of factors in the research
model. To implement this method, the author design the questionnaire with 3
parts:
(1) Discussing about the factor of "quality of accounting information on
financial statements" and the impact level of 9 factors in the research model on
the quality of accounting information on financial statements of listed
companies in the Vietnamese stock exchange.
(2) Discussing hypotheses of relationships in the proposed research model.
(3) Discussing measurement scales of factors in the proposed research
model.
12 participants are selected for the discussion who satisfy one of the
following criteria: Having knowledge and experience in financial accounting,
having a direct or indirect role in accounting in listed construction enterprises.
Specifically, they include: lecturers in accounting, representatives of accounting
management, supervision, auditing departments, auditors of independent
auditing firms participated in auditing at listed construction enterprises,
accountants, chief accountants, managers, representatives of Supervisory Board
in listed construction enterprises.
4.3. Performing quantitative research
4.3.1. Data collection tools
To build information for the expected questionnaire, the author uses the 5-
point Likert scale in the survey tool.
4.3.2. Design of study sample and data collection
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In this content, the author determines the minimum sample size in the study
is 250. To compensate for a percentage of information to be removed, the author
decides to interview 720 subjects.
Structure of research sample: The author surveyed 60 listed construction
enterprises on HNX and HOSE (23 enterprises on HOSE, and 37 enterprises on
HNX, accounting for 37.7% and 62.3%, respectively) .
Surveyed subjects: accountants, chief accountants, representatives of the
Supervisory Board, managers. In each construction enterprises, the author
interviews 12 staff members, specifically as follows: 4 managers, 2 officers of
the Supervisory Board, 5 accountants, and 1 chief accountant.
Sampling method: The author uses the convenient non-random sampling
method.
Method of data collection: Data are collected by direct interviewing
techniques and via email. The results of the interview, after selection (removing
questionnaires with many missing information cells, or having more than one
answer in a box, or being identified as unreliable with proofs) are entered into
the data matrix on the SPSS 20.0 and AMOS 20.0 software.
4.3.3. Analytical method
Based on the received questionnaires that are eligible, the author encodes
collected data, applies the descriptive statistics of the sample, and processes with
SPSS and AMOS software to perform descriptive statistics, verification of the
measurement scale's reliability, Exploratory Factor Analysis (EFA),
Confirmatory Factor Analysis (CFA) and verification of the structural model.
16
CHAPTER 5: RESEARCH RESULTS
5.1. Overview of listed construction companies on the Vietnamese stock
exchange
The thesis has outlined the establishment characteristics of the Vietnamese
stock exchange, the role and the data showing the development speed of the
construction industry in Vietnam. At the same time, the thesis analyzes the
industry factor and distinctive characteristics of construction activities.
5.2. Descriptive statistics of research sample
The study presented the descriptive statistic results of research sample in
terms of listing time, firm size, listed exchange, independent auditing firms and
job position.
5.3. Analysis of factors affecting the quality of accounting information on
financial statements of listed construction companies on the Vietnamese
stock exchange
5.3.1. Analysis of the measurement scale's reliability
Upon completing the analysis of the measurement scale's reliability, the
author removes 6 scales; there are 46 scales left representing 9 independent
variables and 1 dependent variable. These scales are included in EFA analysis.
5.3.2. EFA analysis
After removing the variable MTPL1 (load factor <0.5), EFA analysis is
performed for the second time with KMO test results according to Table 5.5:
Table 5.5. Results of KMO test
* EFA is done using Promax rotation
KMO and Bartlett’s Test
KMO value 0.844
Bartlett’s Test of Sphericity
Approx, Chi-Square 11032.091
Df 990
Sig, 0.000
17
- The results shows that after eliminating the scales that do not satisfy
reliability, remaining scales are placed into 11 groups explaining 59.467% of the
variation of the data.
- For the results of EFA analysis above, the total variance extracted is
59.467%, greater than 50% and the eigenvalues values of the factors are all
greater than 1; therefore, it is appropriate to use the EFA method.
5.3.3. CFA analysis
* Testing the suitability of the model shows the indexes CMIN / DF =
1.885 ( 0.9; GFI ≈ 0.9; RMSEA = 0.043 (<0.08) are compatible
between the model and research data.
* Composite Reliability (CR) and Average Variance Extracted (AVE): The
groups of factors in the research model all have (CR)> 0.5 and AVE are> 0.5;
therefore, the scales of the observed variables are satisfactory.
* Convergence test: Analytical results show all non-standardized and
standardized coefficients are greater than 0.5 and AVE values are greater than or
equal to 0.5; so it can be concluded that all factors achieve convergent values.
* Unidimensionality: From the obtained results, the model achieves
Unidimensionality. Hence, from all the above results, it can be confirmed that
the concepts or measurement scales achieve discriminant validity.
5.3.4. Analysis of the linear structural model
Table 5.13. Analysis results of the SEM linear structural model
Correlation relationship
among factors
Estimate S.E. C.R. P
Normalized
coefficient
CLaccounting <-- KSNB 0.145 0.051 2.808 0.005 0.236
CLaccounting <-- NVKT 0.241 0.048 5.079 *** 0.434
CLaccounting <-- DTXL -0.206 0.061 -3.384 *** -0.247
CLaccounting <-- KTV 0.175 0.054 3.264 0.001 0.232
CLaccounting <-- HVQT -0.214 0.037 -5.847 *** -0.375
CLaccounting <-- MTPL 0.090 0.037 2.428 0.015 0.163
CLaccountin <-- HDDT 0.078 0.043 1.798 0.072 0.137
CLaccountin <-- PMK 0.058 0.033 1.757 0.079 0.110
CLaccounting <-- VTQT 0.200 0.046 4.367 *** 0.328
18
CB <-- CLacc 1,000 0.569
BS <-- CLacc 0.957 ,112 8,580 *** 0.627
Results of the linear structural model analysis shows factors affecting the
quality of accounting information on financial statements of listed construction
enterprises on the Vietnamese stock exchange have a significant level of 5%,
including: KSNB, NVKT , DTXL, KTV, HVQT, MTPL, VTQT. The factors
that are not statistically significant include: HDDT, PMKT. Specifically:
Factors that have positive impact on the quality of accounting information
of construction enterprises listed on the Vietnamese stock exchange in ascending
order are MTPL, KTV, KSNB, KTV, VTQT and NVKT with non-standardized
coefficients of 0.09, 0.175, 0.145, 0.200, and 0.241, respectively, and estimated
standardized coefficients of 0.163, 0.232, 0.236, 0.328, 0.434, respectively, at
5% significance level. These results support the hypothesis H9; H7; H5; H1; H6.
Factors that have negative impact on the quality of accounting information
of construction enterprises listed on the Vietnamese stock exchange include
DTXL (β = -0.206) supporting hypothesis 8.1 and HVQT (β = - 0.214) with
non-standardized beta coefficient of -0.247, -0.357 which supports hypothesis
2.1.
The research results from Table 5.13 show that the "enhancement"
characteristics have has greater meaning and role than fundamental
characteristics in creating good-quality accounting information on financial
statements of listed construction enterprises on the Vietnamese stock exchange
with
5.3.5. Testing the difference in the quality of accounting information on the
financial statements of listed construction companies
* Listed exchange: sig value (listed exchange) = 0.199 (> 0.05), meaning
there is no statistically significant difference in the quality of accounting
information among listed construction enterprises on HNX and HOSE.
* Auditing firm: sig value
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