There are many research literatures on the influencing factors of auditing firms’ audit fees, but their influence on audit fees is rarely studied from geographical factors. This paper studies the relationship among the number of regional accounting firms, whether they are local and audit fees, and uses the 2016 A-share listed companies as a sample to collect the number of accounting firms in the cities where the listed companies are located through the Chinese CPA industry management information system; the CPA determines whether it is a local firm. The empirical results show that the number of regional accounting firms is significantly and positively related to audit fees. The greater the number of firms in the region, the higher the audit fees the company will pay. Moreover, this phenomenon is more prominent in the companies who employ local audits. Further research found that the increase in audit fees in the region is a significant manifestation of the improvement in audit quality.
For a long time, the audit fees of accounting firms have been a hot issue in the domestic and international audit market research. Since Simunic established a classic model of audit pricing, scholars’ research on audit fees has gradually matured. Most of the literatures at home and abroad focus on the general factors affecting audit fees, such as the size of customers, the complexity of customer business, inherent risks, financial risks, whether it is international four, audit tenure, firm size, etc. The impact achieves as high as 57% [
Foreign research on audit pricing has been more than 30 years old. The empirical study of audit fees began with Simunic (1980). By constructing a multiple linear regression model of the factors affecting audit fees, he found that the customer’s asset size is the most important factor affecting audit fees, followed by the customer business complexity, asset-liability ratio, audit opinion type, company inherent risk and audit risk, etc. However there is no significant correlation between audit fees and the return on net assets (ROE), the audit term and the size of the firm. Later, based on Simunic’s classic audit fee model, scholars continued to add new variables to study the impact of a particular factor on audit fees [
Domestic research on audit fees began with Zhenlin Wang, and has also experienced more than a decade of development. Most of the research is based on foreign research results. By constructing an audit fee model, it is tested whether the general influencing factors of audit fees also affect China’s audit pricing. Zhenlin Wang (2002) conducted an empirical study through questionnaire survey. The results show that the main influencing factors of audit fees are the size and complexity of listed companies, the inherent risks of listed companies, the proportion of shares outstanding, the proportion of state-owned shares, the brand of accounting firms, and the audit term. Whether or not the accounting firm has changed also significantly affects the audit fee [
Throughout the research results of scholars at home and abroad, we can see that the general influencing factors of audit fees are the size of the client, the complexity of the business, the financial risk of the listed company, the type of audit opinion and whether the auditor is international, and the profit of the listed company. There is no significant correlation between capacity and the proportion of assets. Beginning with the classic paradigm of Simunic (1980), the research on audit fees has expanded from the general main influential factors to certain specific factors. Although many research conclusions have not yet been agreed, they have promoted the development of audit fees research. At present, most of the literature focuses on the general influential factors of audit fees, mainly to study the impact of corporate characteristics and audit firm characteristics on audit fees. Specific factors are mainly concentrated on the nature of property rights, governance structure or government control [
With regard to the definition of audit fees, foreign audit fees consist of three parts. The first is the cost of audit activities, that is, the amount spent in the audit process and the cost of issuing reports. The second is the audit risk premium, that is, the compensation caused by the audit failure of the audited unit. Risk and its impact on reputation; the third is the brand premium of accounting firms, well-known accountants represent higher audit quality, and the audit fees required are correspondingly higher. Domestically, the audit fees are subject to government-guided prices. The price standards are determined by “fixed price ± floating percentage”, “fixed price”, “price by capital and time”, etc. The price changes vary widely and there is no uniform charging standard. The empirical research was conducted by selecting the audit fees disclosed in the annual reports of listed companies. Regarding the definition of the number of regional offices, in order to unify the caliber, the county-level cities are no longer listed separately according to the classification and statistics of the prefecture-level cities to which the listed companies are located. Regarding the definition of the regional nature of accounting firms, one is directly divided by provinces, municipalities directly under the Central Government and autonomous regions. Most of the literature studies use this method to determine the local area; the other is that the listed company and the accounting firm belong to the same administrative region. And half of the total assets of all clients of the accounting firm are from the region and are recognized as local. This paper adopts the first definition method to divide the local and remote locations according to whether the area of the accounting firm that the signed auditor serves is the same as the area where the listed company is located.
• Number of accounting firms and audit fees
The more the number of accounting firms in the region and the fiercer competition in the industry, the more the accountants will improve their own practice. The better the quality control system of the accounting firm, the higher the audit cost required, and the inevitable compensation from the client’s audit fees cost. In addition, in order to ensure the sustained and healthy development of China’s economy, the CSRC’s superquality audit requirements, and audit fees will increase to ensure higher audit quality. On this basis, we propose the hypothesis:
H1: The audit fees will increase as the number of accounting firms in the region increases, while other conditions remain unchanged.
• Whether the local affirm and the audit fee
The audit cost is significantly and positively related to the audit workload and audit difficulty. The audit workload is generally determined by the size of the audited entity and the complexity of the business. The audit difficulty is related to the auditor’s familiarity with the listed company and the difficulty of conducting substantive tests. Relevant to the extent, the local accounting firm is close to the listed company, has a natural geographical advantage, can save audit costs such as accommodation expenses and travel expenses, and the auditor knows more about the listed company, understands the local fiscal tax law system, and communicates with the audit process. More convenient, audit evidence is more accessible, which will lead to a significant reduction in audit costs, improved audit efficiency, and a corresponding reduction in audit fees for listed companies. If the accounting firm is in the same area as the listed company, it can effectively reduce information asymmetry, and various financial and tax law information can be shared. It is easier to find the risks that listed companies may have, reduce the risk of audit failure, and compensate for the risk premium and reputation risk. The premium is correspondingly reduced, which in turn reduces audit costs. Therefore, we propose the hypothesis:
H2: The audit fees of local accounting firms are lower when other conditions remain unchanged.
• The number of firms, whether they are local and audit fees
Non-audit services also have a certain impact on audit fees. Simunic (1984) found through empirical research that the audit fees paid by customers who purchase audit services and non-audit services in the same accounting firm are higher than the audit fees paid by customers who only purchase audit services [
H3: Under other conditions, the more the number of regional accounting firms audited locally, the higher the audit fees, and the local audits increase the impact of the number of firms on audit fees.
The data in this paper comes from the Wind database and the Chinese CPA industry management information system. Taking the 2016 Shanghai and Shenzhen A-share listed companies as samples, it excludes: 1) financial listed companies; 2) the listed companies that have not disclosed audit fees. The final valid sample data is 2717. This paper collects the number of accounting firms in the provinces and municipalities where the listed companies are located in the Chinese CPA industry management information system through the registration of the listed companies; and queries the accounting firms served by the certified CPA through the industry management information system to determine Whether the accounting firm it serves belongs to the local office. When the signed CPA does not belong to the same firm, it is judged whether it belongs to the local office by the address of the audit institution disclosed in the annual report. In this paper, 1% of the continuous variables involved in the model are truncated.
• Dependent variable: the natural logarithm of the audit fee (Lnfee)
This paper selects all the listed company data that disclosed the audit fees in the 2016 Shanghai and Shenzhen A-share market, and takes its natural logarithm as the explanatory variable.
• Independent variable
This paper studies the relationship between the number of regional accounting firms and the audit fees, and selects the number of firms in the city where the listed company is registered and whether it is a local test variable. The arguments in this paper are described as follows:
Lnnum: The natural logarithm of the number of urban accounting firms. The number of provincial and municipal accounting firms is based on the statistics of the Chinese CPA Industry Management Information System on December 31, 2017;
Local: is a dummy variable. When the signature auditor and the listed company belong to the same city, it is the local office, Local takes 0; when the signature auditor is off-site firm, Local takes 1.
• Control variables
Combined with the research results of the existing literature, in order to control other related variables that may affect audit fees, this paper selects the total assets size, long-term capital debt ratio, total return on assets, asset-liability ratio, receivable ratio, and inventory ratio of listed companies. Whether it is a loss, whether it is issued a non-standard audit opinion, whether the accounting firm belongs to the “International Big Four” as a control variable. The control variables involved in the model are described below:
Lnasset: the natural logarithm of the total assets of the listed company at the end of 2016, representing the size of the audited unit;
Lev: measuring the financial risk of listed companies for the long-term debt-to-liability ratio;
Opinion: a dummy variable, which represents the type of audit opinion. When issuing a non-standard audit opinion, take 1 and when the standard is unqualified, take 0;
Big4: it is a dummy variable, which represents the size of an accounting firm. When the firm is international, it will take 1 and the firm will take 0 when it is not international.
This paper draws on Simunic’s audit fee model, uses multiple linear regression equations to study the relationship between the number of regional accounting firms and audit fees, and integrates the above research design to construct the following model:
Lnfee = α 0 + α 1 × Lnnum + α 2 × Local + α 3 × Lnasset + α 4 × Lev + α 5 × Opinion + α 6 × Big 4 + ∑ Industry + ε (1)
Lnfee = β 0 + β 1 × Lnnum + β 2 × Local + β 3 × Local × Lnnum + β 4 × Lnasset + β 5 × L e v + β 6 × Opinion + β 7 × Big 4 + ∑ Industry + ε (2)
After controlling the general influencing factors, the industry and the residual ε, this paper predicts that the audit fees will be affected by the number of accounting firms and whether they belong to the local. The more accounting firms in the region, the higher the audit fees; but the negative correlation between local auditing and audit fees, and the local the audit will strengthen the impact of the number of accounting firms on audit fees. If this assumption holds, α1 should be a positive number, α2 be a negative number, with β3 > 0 expected.
The average number of firms is 162, which shows that the regional development of accounting firms is uneven. The average size of the company’s total assets is 15.4 billion yuan, with a maximum value of 2.4 trillion yuan, and a large number of small and medium-sized listed companies. The average long-term debt-to-equity ratio of listed companies is 14.60%, and the financial risks that may be encountered are small. There are 96 listed companies that have been issued non-standard audit opinions. The audit opinions of the annual reports of most listed companies are standard without reservation. There are 153 listed companies audited by the international four major auditors. The vast majority of listed companies employ domestic accounting firms. It can be seen that the development of local accounting firms has been recognized by the market.
First, it is necessary to verify whether the model is reliable. The reliability of the parameters is determined by collinear diagnosis and measuring the heteroscedasticity of the residual. Generally, tolerance, variance expansion factor (VIF, reciprocal of tolerance) are used as a collinear diagnosis index. The tolerance value is between 0 and 1. If the value is too small, this independent variable and other self are described. There is a collinear problem between variables. The larger the VIF value, the more obvious the collinear problem is. We can see from
Equal variance is the basic assumption of simple linear regression. It can be tested by the residual and regression fit values or the scatter plot between the normalized residual and the normalized predictive value. If there is equal variance, the residuals corresponding to different fitted values the difference
Variable | Obs | Min. | Max. | Mean | SD |
---|---|---|---|---|---|
fee | 2717 | 100,000.00 | 51,580,000.00 | 1,236,375.88 | 2,392,096.67 |
Lnfee | 2717 | 11.51 | 17.76 | 13.68 | 0.67 |
Local | 2717 | 0 | 1 | 0.40 | 0.49 |
num | 2717 | 0 | 674 | 161.99 | 192.06 |
Lnnum | 2717 | 0 | 6.51 | 4.22 | 1.53 |
asset | 2717 | 5.26E+07 | 2.40E+12 | 1.54E+10 | 7.42E+10 |
Lnasset | 2717 | 17.78 | 28.51 | 22.17 | 1.33 |
Lev | 2717 | −149.47 | 114.91 | 14.60 | 18.41 |
Opinion | 2717 | 0 | 1 | 0.03 | 0.18 |
Big4 | 2717 | 0 | 1 | 0.05 | 0.22 |
Dependent variable: Lnfee | Collinear statistic | Dependent variable: Lnfee | Collinear statistic | ||
---|---|---|---|---|---|
Tolerance | VIF | Tolerance | VIF | ||
(constant) | Lnnum | 0.323 | 3.097 | ||
Lnnum | 0.664 | 1.506 | Lnasset | 0.587 | 1.705 |
Local | 0.700 | 1.428 | Lev | 0.591 | 1.692 |
Lnasset | 0.587 | 1.704 | Big4 | 0.860 | 1.163 |
Lev | 0.591 | 1.692 | Opinion | 0.957 | 1.045 |
Big4 | 0.862 | 1.160 | A | 0.972 | 1.029 |
Opinion | 0.957 | 1.045 | B | 0.933 | 1.071 |
A | 0.972 | 1.028 | C1 | 0.903 | 1.107 |
B | 0.933 | 1.071 | C4 | 0.962 | 1.039 |
C1 | 0.903 | 1.107 | C9 | 0.813 | 1.229 |
C4 | 0.963 | 1.039 | D | 0.865 | 1.156 |
C9 | 0.814 | 1.228 | E | 0.920 | 1.087 |
D | 0.866 | 1.154 | F | 0.905 | 1.105 |
E | 0.920 | 1.087 | G | 0.915 | 1.093 |
F | 0.906 | 1.103 | H | 0.987 | 1.013 |
G | 0.915 | 1.092 | I | 0.853 | 1.173 |
H | 0.987 | 1.013 | K | 0.812 | 1.232 |
I | 0.853 | 1.173 | L | 0.971 | 1.030 |
K | 0.812 | 1.231 | M | 0.979 | 1.022 |
L | 0.971 | 1.030 | N | 0.971 | 1.030 |
M | 0.980 | 1.020 | P | 0.993 | 1.007 |
N | 0.975 | 1.025 | Q | 0.994 | 1.006 |
P | 0.993 | 1.007 | R | 0.971 | 1.030 |
Q | 0.994 | 1.006 | S | 0.982 | 1.019 |
R | 0.971 | 1.030 | Local | 0.027 | 37.415 |
S | 0.982 | 1.019 | Lnnum × Local | 0.021 | 46.618 |
should be approximately the same, that is, the points in the figure are evenly distributed, and no special distribution shape will appear. If the residual points are not evenly distributed, forming a funnel or a fan shape, then the regression does not have equal variance. In
As can be seen from the following histogram (
From
In
The regression results of model (1), model (2) are shown in
audit fees. The relationship between these variables and audit fees is consistent with previous research results, further indicating that the model constructed is reasonable.
What is the relationship between audit fees and the number of firms? What is the number of firms in the region that affects audit fees? In the past, scholars
Ln fee | (1) | (2) | (3) | (4) | (5) |
---|---|---|---|---|---|
Constant | 13.518*** (378.483) | 13.675*** (856.009) | 5.659*** (30.553) | 5.646*** (30.396) | 5.704*** (30.603) |
Lnnum | 0.046*** (5.783) | 0.016*** (2.803) | 0.019*** (2.837) | 0.009 (1.169) | |
Local | 0.091*** (3.620) | −-0.019 (−0.922) | −0.267*** (−3.238) | ||
Lnnum × Local | 0.050*** (3.105) | ||||
Opinion | 0.168*** (3.656) | 0.167*** (3.624) | 0.169*** (3.669) | ||
Lnasset | 0.356*** (42.144) | 0.357*** (42.151) | 0.356*** (42.071) | ||
Lev | −0.0004 (−0.573) | −0.0004 (−0.600) | −0.0004 (−0.564) | ||
Big 4 | 0.543*** (13.921) | 0.543*** (13.913) | 0.534*** (13.679) | ||
Industry | control | control | control | ||
Durbin-Watson | 1.925 | 1.927 | |||
Adj.R2 | 0.012 | 0.004 | 0.567 | 0.567 | 0.568 |
F | 143.215 | 138.291 | |||
No.of obs. | 2716 | 2716 | 2716 | 2716 | 2716 |
Note: ***, **, and * indicate that the regression coefficient is significant at the 1%, 5%, and 10% levels, respectively.
believed that the higher the audit quality, the higher the audit fees, and the positive correlation between audit quality and audit fees. In order to further explore the relationship, the author used the excess charge to replace the audit quality, and conducted an empirical study on the relationship between the excess charge and the number of regional firms. The results showed that the more the number of accounting firms in the region, the more serious the overcharge was, and the local audit increased the excess. The fee indicates that the increase in audit fees is an indication of the improvement in audit quality. The specific regression results are shown in
From
In order to ensure the reliability of the model, we also carried out a robustness test. Firstly, according to whether the province is defined as a local institution, the relationship between the number of accounting firms in the province where the listed company is located and the audit fees are examined. After controlling other relevant variables, a consistent conclusion is obtained. Hypothesis 1 and Hypothesis 3 are established, and hypothesis 2 is not established. As shown in
Overcharge | (1) | (2) | (3) |
---|---|---|---|
constant | −10.164*** (−33.139) | −10.147*** (−32.989) | −10.062*** (−30.582) |
Lnnum | 0.028*** (2.978) | 0.023** (2.073) | 0.008 (0.643) |
Local | 0.024(0.696) | −0.338** (−2.480) | |
Lnnum × Local | 0.074*** (2.745) | ||
Opinion | 0.217*** (2.85) | 0.219*** (2.871) | 0.222*** (2.910) |
Lnasset | 0.450*** (32.114) | 0.449*** (32.072) | 0.448*** (31.985) |
Lev | 0.0003 (0.338) | 0.0004 (0.358) | 0.0004 (0.391) |
Big 4 | 1.333*** (20.627) | 1.334*** (20.63) | 1.321*** (20.408) |
Industry | control | control | control |
Adj.R2 | 0.479 | 0.479 | 0.481 |
No. of obs. | 2716 | 2716 | 2716 |
Note: ***, **, and * indicate that the regression coefficient is significant at the 1%, 5%, and 10% levels, respectively.
Lnfee | Prov.(1) | Prov.(2) | Manu.(3) | Manu.(4) | Big10(5) | Big10(6) |
---|---|---|---|---|---|---|
Constant | 5.471*** (27.574) | 5.657*** (26.194) | 6.278*** (28.018) | 6.302*** (28.105) | 4.953*** (27.281) | 5.038*** (27.613) |
Lnnum | 0.042*** (3.114) | 0.009 (0.453) | 0.02** (2.536) | 0.013 (1.486) | 0.024*** (3.486) | 0.011 (1.419) |
Local | 0.024 (1.353) | −0.317** (−2.006) | −0.007 (−0.262) | −0.204* (−1.936) | −0.028 (−1.322) | −0.340*** (−4.036) |
Lnnum × Local | 0.058** (2.170) | 0.04* (1.932) | 0.063*** (3.825) | |||
Opinion | 0.176*** (3.820) | 0.179*** (3.873) | 0.151*** (2.845) | 0.156*** (2.934) | 0.170*** (3.606) | 0.173*** (3.663) |
Lnasset | 0.356*** (42.062) | 0.356*** (42.102) | 0.328*** (32.038) | 0.328*** (32.061) | 0.385*** (46.225) | 0.383*** (46.039) |
Lev | −0.0001 (−0.245) | −0.0001 (−0.156) | 0.0005 (0.594) | 0.0004 (0.541) | −0.001 (−1.134) | −0.001 (−1.081) |
Big4 | 0.551*** (14.145) | 0.546*** (14.015) | 0.498*** (9.506) | 0.493*** (9.402) | 0.126*** (7.304) | 0.124*** (7.234) |
Industry | control | control | − | − | control | control |
Adj. R2 | 0.568 | 0.568 | 0.518 | 0.519 | 0.545 | 0.547 |
No. of obs. | 2716 | 2716 | 1717 | 1717 | 2716 | 2716 |
Note: ***, **, and * indicate that the regression coefficient is significant at the 1%, 5%, and 10% levels, respectively. In column (5) & (6), Big4 means Big 10.
and the audit fees is significant at the 1% level, and the coefficient of the intersection is 95% reliability.
Secondly, we verify the sub-samples by industry. Take the listed companies in the manufacturing industry as an example to control the impact of industry and other related variables on audit fees. Multivariate linear regression is performed. The regression results are shown in
Also, we change the control variables from whether it is international or not to the top ten in China. The top ten rankings are based on the information of the top 100 accounting firms disclosed in 2016. After controlling other identical variables, the results are still very significant. In
In addition, the empirical explanatory variables used in this paper are municipal data, and there may be endogenous problems caused by the imbalance of development in various cities. The results of previous empirical studies indicate that the better the regional economic situation, the higher the audit fees. To control the impact of the city’s economic development on the number of firms, we used a placebo test to test such problems. Drawing on the placebo test method of Li et al. (2016), this paper chooses to reorganize the number of firms, and the number of firms after random allocation no longer implied the level of economic development of the city. The number of randomly assigned firms is returned to the financial data of the listed company. If the positive correlation between the number of firms and the audit fees is still significant, it indicates that the regional economic development level will not affect the audit fees. Pseudo-correlation. On the contrary, if the number of firms no longer significantly affects audit fees, it indicates that there is no endogenous problem caused by the imbalance of economic development.
The regression analysis of the model (1) is performed using 10,000 randomly assigned data. As shown in
In view of the lack of statistics on the number of accounting firms in different provinces and cities in different years, this paper selects the number of firms in December 2017, combined with the financial data of 2016 A-share listed companies, to conduct research on the number of regional firms and audit fees. The conclusions of the study are as follows: The number of accounting firms in the region is positively related to the audit fees. The more the number of firms, the higher the audit fees; whether the local firm does not affect the audit fee, but if the local audit is selected, the number of firms will be strengthened. The audit fees paid by listed companies in the region will increase as the number of firm increases. The increase in audit fees is the performance of high-quality audit. In the standardized audit market, the more the number of regional accounting firms, the more intense the competition, the more helpful the audit quality in the region. It is suggested that China’s government system policy encourage the establishment of accounting firms, at the same time strengthen market supervision, improve the auditing information disclosure system, allow accounting firms to participate in healthy competition, and prevent the occurrence of vicious low-price competition, which will benefit the development of audit market. At the same time, from the research of this paper, we can see that the international four major and domestic top ten audit fees are higher. The size and brand of accounting firms have a significant impact on audit fees. China should speed up the pace of accounting firms to become bigger and stronger. Promote mergers and acquisitions between firms, carry out brand building, improve the quality of audit services, and thus improve the market competitiveness of local accounting firms in China.
The author declares no conflicts of interest regarding the publication of this paper.
Fang, H.Y. (2019) Number of Regional Accounting Firms and Audit Fees―Based on the Experience Data of Listed Companies in China in 2016. American Journal of Industrial and Business Management, 9, 592-608. https://doi.org/10.4236/ajibm.2019.93041