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Purpose

This study aims to examine and compare the mandatory joint audit report delays across joint audit pairs between the European Union and the MENA region.

Design/methodology/approach

This study uses data from nonfinancial companies listed on the French, Moroccan and Tunisian stock exchanges from 2014 to 2023 and uses multiple regression models to analyze the data.

Findings

In France, joint audits involving two Big Four firms produce the shortest delays. In Morocco, pairs of two non-Big Four local auditors are associated with the shortest delays, whereas in Tunisia, the shortest delays occur when firms are audited by two non-Big Four international auditors. French firms generally exhibit shorter delays than Tunisian firms, except for the two non-Big Four international auditor pairs in Tunisia. Moroccan firms report faster than French and Tunisian firms, except, again, for the two non-Big Four international auditor pairs in Tunisia. Additional analyses show that differences in audit report delays across joint-audit pairings are minimal among large firms in all three countries and that the presence of at least one industry-specialized auditor has no meaningful effect in most pairings.

Practical implications

The findings provide regulators and policymakers with evidence on how joint-auditor pairings affect audit timeliness across different institutional settings and highlight important cross-country variations in mandatory joint-audit regimes.

Originality/value

To the best of the authors’ knowledge, this is the first study to examine and compare audit report delays across mandatory joint-audit regimes in the European Union and the MENA region, as well as between developed and developing countries. It also investigates the effects of firm size and auditor industry specialization on these delays. Furthermore, it is among the first to use a six-category classification of joint-auditor pairings.

Timely audited financial statements are essential for decision-making, enhance the relevance of information, attract foreign investment and serve as important indicators of audit quality (Al-Ajmi, 2008; Leventis et al., 2005; Onatuyeh et al., 2024). Numerous studies have shown that audit report delays – defined as the number of calendar days between the fiscal year-end and the date of the external auditor’s report (Wan Hussin and Bamahros, 2013) – can reduce investor confidence in financial statements, increase information asymmetry (Bamber et al., 1993) and signal problems during the audit process or difficulties in resolving sensitive audit issues (Durand, 2019). Furthermore, timely reporting is regarded as an essential mechanism for limiting the spread of rumors about a company’s financial condition and performance (Al-Ajmi, 2008).

Despite regulatory emphasis on timeliness – illustrated by shortened SEC filing deadlines, the EU Transparency Directive and repeated calls from standard-setters (Abernathy et al., 2017; EU, 2004; Securities and Exchange Commission, 2002) – audit report delays remain common in both developed and emerging markets. Building on this, joint audits may play a vital role as one mechanism to reduce these delays. This is due to the leveraging of combined resources, task division and knowledge sharing between the two audit firms in joint audit practices (Hassan et al., 2024; Onatuyeh et al., 2024).

Empirical evidence on audit report delays in joint-audit settings is scarce, with only Kuwait included (Alfraih, 2016; Almarzouq et al., 2025; Van der Zahn, 2023). Collectively, these scarce studies, along with the limitations of the traditional three-category classification of joint audit pairs (two Big Four, one Big Four with one non-Big Four and two non-Big Four), highlight the need for further studies using a more comprehensive classification. Furthermore, delays are particularly significant in emerging markets, where investors rely almost exclusively on published financial statements as alternative information sources, as channels such as press conferences, media releases and financial analyst forecasts remain underdeveloped (Al-Ajmi, 2008). Therefore, further research is warranted to investigate audit reporting delays in emerging economies, compare them with those in developed economies and assess the role of joint audits in mitigating such delays.

Despite calls for comparative research on joint audits (Hassan et al., 2024), no study has examined audit report delays across different mandatory joint-audit regimes, nor has any addressed differences in joint audit report delays between developed and developing contexts. Similarly, Hassan et al. (2024) highlight a scarcity of comparative auditing research between EU and non-EU countries. Therefore, to bridge these gaps, this study examines and compares how delays in mandatory joint audits vary across joint audit pairs in France (developed/EU) with those in Tunisia and Morocco (developing/MENA region).

The selection of these countries reflects several factors. France, Tunisia and Morocco have a longstanding joint auditing tradition dating back to the 1990s. France is the only EU country to mandate joint audits for nonfinancial firms (Nurunnabi et al., 2020), and Tunisia and Morocco are the only MENA region countries to impose this requirement on nonfinancial companies. Moreover, to the authors’ knowledge, no previous study has examined the effect of company size and auditor industry specialization on joint audit delays. Our study also addresses these research gaps by conducting an additional analysis examining the impact of both company size and industry specialization on the delays in mandatory joint audit reports. Therefore, the following research questions guide the study:

RQ1.

Are there statistically significant differences in audit report delays across the joint-audit pairings within each country (France, Morocco and Tunisia)?

RQ2.

Do audit report delays differ across joint-audit pairings when comparing a developed-country setting (France) with emerging-country settings (Morocco and Tunisia)?

RQ3.

Are there statistically significant differences in audit report delays across joint-audit pairings between the two emerging-country settings (Morocco versus Tunisia)?

To address the research questions, data were collected from 440 nonfinancial companies (359 in France, 51 in Morocco and 30 in Tunisia) over the period 2014–2023. Given the small number of firms from Morocco and Tunisia, the generalizability of results from these countries may be limited. Audit report delay was measured as the number of calendar days from the fiscal year-end to the date of the audit report. Moreover, consistent with Van der Zahn and Tebourbi (2023) and Hassan et al. (2024), joint-audit pairs were classified into six categories: both Big Four (B4B4), Big Four + non-Big Four international (B4S1), Big Four + local (B4S2), both non-Big Four international (S1S1), non-Big Four international + local (S1S2) and both local (S2S2). This study also analyzes the company samples separately for each country, dividing firms into three size groups (small, medium and large) and assessing how the inclusion of at least one industry specialist in a joint audit pair affects audit report delays relative to pairs without such a specialist.

The results indicate that the effect of Big-N participation differs markedly between developed and emerging settings. In France, the shortest delays were observed for the B4B4 pair; in Morocco, for the S2S2 pair; and in Tunisia, for the S1S1 pair. French firms generally exhibited shorter audit report delays than Tunisian firms across almost all pair types, except for the S1S1 pair, for which Tunisian firms reported significantly faster delays. However, Moroccan firms displayed shorter delays than French and Tunisian firms for nearly all pairings, with the S1S1 pair showing no significant difference between Moroccan and Tunisian firms. Additional analyses show that differences in audit report delays across joint-audit pairings are minimal among large firms in all three countries. They also found that the presence of at least one industry-specific auditor in a joint audit pair had no material effect on audit delays in most pairs. However, these findings should be interpreted cautiously, given the small sample sizes from Morocco and Tunisia.

This study contributes to the literature on audit report delays, both generally and in joint audits, in several ways. First, it clarifies the role of joint audits in reducing these delays in both developed and developing economies. In developing economies, audited financial reports are a primary source of information for stakeholders (Al-Ajmi, 2008); thus, delays matter because media outlets and press conferences are not yet well developed (Khasharmeh and Aljifri, 2010). Second, this study explains how audit report delays differ across joint audit pair compositions in different contexts. By categorizing audit pairs more broadly than prior research, this analysis covers a range of types and sizes; it shows that audit report delays depend on both the composition of joint audit pairs and the institutional context. Notably, it highlights that the institutional context strongly affects audit report delays and that big audit firms’ ability to reduce them varies across contexts. Third, the study clarifies the impact of audited firm size, showing that large firms outperform SMEs in reducing delays across most joint audit pair setups, regardless of context. Finally, it illustrates how auditors’ industry specialization affects delays in joint audits, finding that industry specialization has little effect on most joint audit pairs across contexts and suggesting it may not be a key factor in reducing delays.

Moreover, the findings of this study offer recommendations to researchers, regulators, audit firms, companies and policymakers on addressing delays in mandatory joint audit reporting, especially in weaker corporate environments. The results provide valuable insight and point to new directions for future research on joint audits. These findings also suggest that regulators should select joint audit teams based on demonstrated effectiveness, not reputation and should not assume Big-N involvement always reduces delays. They recommend strengthening auditor independence through legislation to improve efficiency and attract international investment to MENA economies. Countries with mandatory joint audits should establish clear guidelines for coordination to address collaboration challenges and maximize benefits. These findings enable audit firms to assess and improve joint audit collaboration, considering sector specialization to gain a competitive edge and achieve better results.

Furthermore, audited firms can strengthen audit strategies by adhering to reporting deadlines. For example, French companies may experience reduced delays when audit teams consist of two Big Four firms (B4B4FR). Tunisian companies may achieve improved on-time compliance by engaging international audit teams outside the Big Four (S1S1TU). In Morocco, audit report delays can be minimized when teams include at least one local firm, particularly when two local firms are involved (S2S2MO). Moreover, our findings confirm the general benefits of joint audits in timely financial report publication. This evidence can guide global decisions about adopting, enhancing or removing joint audit mandates – including measures to boost auditor independence and attract investment. The current absence of standardized joint audit guidelines suggests that standard-setters should address this gap. Similarly, the minimal differences in audit report delays among large companies indicate that policymakers could advise such firms to conduct joint audits. With these findings and implications in mind, the paper proceeds as follows: Section 2 reviews the literature and develops hypotheses; Section 3 presents the methodology; Section 4 reports the main results; Section 5 provides additional analyses and robustness tests; Section 6 concludes by discussing implications, limitations and suggestions for future research.

Users of financial statements regard annual audited reports as a reliable source of information. Nevertheless, there is a lag between the fiscal year-end and the release of these statements. Although this interval is necessary to produce high-quality information, excessive delays can impair its usefulness and relevance (Rusmin and Evans, 2017). Audit report lag (ARL; also referred to as audit report delay) is defined as the number of calendar days from the fiscal year-end to the date of the auditor’s report (Al-Ajmi, 2008). Knechel and Payne (2001) decompose total ARL into three components:

  1. scheduling delay (from fiscal year-end to the start of fieldwork);

  2. fieldwork delay (time required to complete fieldwork); and

  3. reporting delay (from the end of fieldwork to the signing of the audit report).

Consequently, audit report delays have attracted considerable research attention because the time required to complete an audit directly affects the timeliness of corporate financial reporting (Alfraih, 2016). Delays in issuing financial reports increase information asymmetry (Al-Ajmi, 2008), reduce the relevance of the reported information (Durand, 2019) and may undermine investor confidence. Prior studies have used ARL as a proxy for audit efficiency and effort (Bamber et al., 1993) and regard timeliness as an essential dimension of audit quality (Al-Ajmi, 2008). From an agency theory perspective, delays exacerbate information asymmetry between managers and shareholders, underscoring the external auditors’ monitoring role. For these reasons, accounting researchers, regulators and policymakers continue to show strong interest in factors that influence audit report timeliness.

Although audit report delays have been extensively researched within individual countries, cross-country comparative studies remain scarce. Comparative studies may lead to new and important discoveries. For instance, Toumi et al. (2025) were among the first to examine the influence of Hofstede’s cultural dimensions on audit report delays across 36 countries (2017–2018 data). They found that national culture is associated with delay, with the strength of this relation moderated by the timeliness of the disclosure regime and the nature of the legal enforcement system. Similarly, Lee et al. (2008) compared local and multinational firms. They found weak evidence that auditors need more time for multinational clients, but strong evidence that managers of multinational firms release earnings announcements earlier. More recently, Zhou et al. (2024) found that firms that apply International Financial Reporting Standards (IFRS) exhibit longer audit report delays than those that follow US Generally Accepted Accounting Principles.

Furthermore, most prior studies have been conducted in single-audit regimes. Only a handful have investigated joint-audit settings, notably Alfraih (2016), Almarzouq et al. (2025) and Van der Zahn (2023). All three examined audit report delays in Kuwait and concluded that mandatory joint audits are associated with significantly shorter delays. Additional comparative research on audit report delays is therefore needed, particularly in mandatory joint-audit environments. Hassan et al. (2024) highlighted the scarcity of studies comparing EU and non-EU countries in their systematic review of European Union audit research. Given that the cultural and institutional environments in the MENA region differ substantially from those in Western countries (Al-Hiyari et al., 2022), the present study seeks to extend the audit report delay literature by analysing and comparing the effects of different joint-audit pair compositions in two distinct institutional contexts:

  1. France – the only EU member state that mandates joint audits for nonfinancial listed companies (Hassan et al., 2024) – ; and

  2. Morocco and Tunisia, the only MENA countries with similar mandatory joint-audit requirements for certain nonfinancial firms.

External auditing plays a crucial role in the financial reporting environment. According to agency theory, the primary purpose of auditing is to verify the integrity of financial statements, thereby enhancing stakeholder confidence and facilitating informed economic decisions (Jensen and Meckling, 1976). However, the separation between ownership and management creates conflicts of interest that can delay financial reporting and impede audit procedures (Bahrawe, 2024). In this context, external auditing can help reduce both financial report delays and conflicts of interest (Chow, 1982). Despite this benefit, variations in auditors’ work quality significantly affect the objectivity, credibility and quality of reported earnings (Rusmin and Evans, 2017). Consequently, the audit period length varies depending on the auditor’s size and affiliation (Habib et al., 2019). For instance, DeFond and Zhang (2014) note that the auditing literature categorizes external audit firms into large (the Big Four) and smaller (non-Big Four) firms. Additionally, external audit firms can be classified as Big Four, international or local firms (Sutaryo and Lase, 2015).

Several studies found that companies audited by Big N, especially Big Four auditors, issue reports earlier than those audited by smaller auditors (e.g. Alfraih, 2016; Almarzouq et al., 2025; Ghafran and Yasmin, 2018; Ismail et al., 2022; Khoo et al., 2020; Rusmin and Evans, 2017; Walker and Hay, 2013; Wan Hussin et al., 2018). This earlier reporting is attributed to factors such as greater experience and competence (Ashton et al., 1989), more efficient auditing, flexible schedules (Carslaw and Kaplan, 1991), increased resources (Schroeder and Hogan, 2013), highly qualified staff, advanced technology (Leventis et al., 2005), enhanced monitoring (Al-Ajmi, 2008) and a focus on maintaining their reputations (Afify, 2009). However, although numerous previous studies have documented the pivotal role of Big N quality in reducing financial reporting delays, information on what happens in the context of joint audits is limited.

In France, Tunisia and Morocco, company law requires nonfinancial listed companies to appoint at least two separate external audit firms (Abdelmoula, 2023; Ayyash, 2025; Ratzinger-Sakel et al., 2012; Nekhili et al., 2018). These auditors work together to prepare a single audit report, which is signed by both firms. Each company is free to choose its auditors. As a result, auditor selection varies from company to company, leading to differences in reporting timeliness. In the context of mandatory joint audits, we classify auditors into three categories:

  1. Big Four (Deloitte, EY, KPMG and PwC);

  2. other international firms (not part of the Big Four); and

  3. local firms (neither Big Four nor international).

Therefore, there are six possible combinations:

  1. two Big Four;

  2. one Big Four and one other international;

  3. one Big Four and one local;

  4. two other international;

  5. one other international and one local; and

  6. or two locals.

This categorization enables a more detailed analysis of the impact of auditor type on audit delays. Therefore, in line with previous studies, it is expected that the greater the number of international audit firms, particularly the Big Four firms, the shorter the delay in issuing audit reports.

Additionally, signaling theory suggests that companies use distinct signals to assure investors of their quality (Alves and Carmo, 2022). In this study, mandatory joint audits between two audit firms may serve as a clear signal to investors regarding audit report delays. The nature of these signals depends on the audit firms forming the joint audit pair. An increase in the number of international firms, particularly the Big Four, is expected to strengthen perceptions of more timely, higher-quality financial reporting. On the other hand, compliance theory emphasizes the importance of auditors adhering to professional standards and regulations. This theory also suggests that auditors have a responsibility to complete audits and issue reports promptly so that users can make informed decisions based on financial data (Abouelela et al., 2025). Therefore, according to compliance theory, it is essential for an individual or organization, such as an auditor, to complete the audit process within the timeframe stipulated by applicable regulations (Abdillah et al., 2019). However, this obligation may vary depending on the type of audit firm involved in the joint audit. International audit firms, particularly the Big Four, may be more compliant with regulations than smaller firms regarding the timely submission of financial reports and disclosure of information.

Moreover, communication theory examines how information is exchanged and interpreted within a specific context (Rahaman and Bhuiyan, 2024). Therefore, according to this theory, having two audit firms auditing the same client may lead to information exchange between them, potentially enabling them to overcome audit challenges and complete the audit in the shortest possible time. Therefore, the result of cooperation between the two audit firms through various joint audit pairs may increase the efficiency of audit processes within each pair, regardless of the types of firms that make up the pair, thereby reducing differences in the timing of audit reports across pairs. However, Deng et al. (2014) hypothesized that joint audits with a large and a small firm could weaken the audit process due to free riding: the less experienced auditor might rely on the more experienced one, who would then face the complete reputational loss. However, Deng et al.’s (2014) model does not expect free-riding in joint audits involving two Big Four firms. They argue that both would face reputational losses equally, given their strong standing and resources. Moreover, international audit firms, both Big Four and non-Big Four, may have similar technological skills. Therefore, the preceding discussion underscores the role of Big-N audit firms in reducing audit report delays. This may be more evident in advanced contexts such as France, where strong governance structures enable large audit firms to complete their work efficiently. Thus, this study hypothesizes the following:

H1.

Mandatory joint audit report delays are negatively associated with the number of Big-N auditing firms that audit French firms’ financial statements.

On the other hand, unlike in developed countries, audit reporting delays are particularly pronounced in emerging economies, where alternative information channels, such as press conferences, media releases and financial analyst forecasts, are underdeveloped (Abernathy et al., 2017). Also, weak governance, limited ongoing disclosure and ineffective regulation further underscore the importance of audit report delay in these contexts. Furthermore, according to reputational protection theory, big auditors focus on safeguarding their reputation and reducing the risk of lawsuits (Khoo et al., 2020). Therefore, weak governance in developing countries such as Morocco and Tunisia may prompt Big N auditors to conduct more detailed audits to protect their reputations, address governance flaws and identify material misstatements. Consequently, they might spend more time reviewing accounting systems, thereby increasing their workload and delaying the issuance of the audit report.

Moreover, Boone et al. (2010), Cassell et al. (2013) and Hogan and Martin (2009) argued that Big Four auditors do not necessarily deliver higher-quality audits than mid-tier audit firms. Also, mid-tier firms may serve as a more viable alternative to the Big Four than smaller audit firms. Consequently, auditors in the “next tier” after the Big Four can offer valuable insights into the reporting timeliness literature (Abernathy et al., 2017). In addition, local auditors likely have an information advantage and can reduce information asymmetry with clients by acquiring client-specific knowledge more efficiently than nonlocal auditors. Local auditors also access client information more often and stay informed through local media, enhancing their ability to monitor clients. This easier access to information, combined with greater awareness of regional economic and regulatory contexts, can make local audits more efficient and reduce audit delays (Dong et al., 2018). This may be particularly evident in developing economies where press conferences and media releases are not yet fully developed (Khasharmeh and Aljifri, 2010). Furthermore, approximately 72% of Moroccan companies and 90% of Tunisian companies rely on local financial reporting standards. Consequently, local auditors may play a significant role in reducing audit report delays in these contexts. Thus, this study also relies on the following hypotheses:

H2.

Mandatory joint audit report delays are positively associated with the number of Big-N auditing firms that audit the financial statements of Moroccan and Tunisian firms.

Furthermore, academics have recently applied institutional theory extensively. This theory focuses primarily on understanding organizational performance and growth within broader social and cultural systems (DiMaggio and Powell, 1983). According to this theory, organizational behavior is determined by the environment in which it operates, encompassing all its cultural, religious, political and social dimensions (Krane and Eulerich, 2020). Therefore, since this study examines the delay in joint audit reporting in Tunisia and Morocco – two under-researched institutional environments – institutional theory can help us understand how the delay in joint audit reporting varies between different pairs in these emerging institutional economies compared to advanced economies, potentially leading to different outcomes.

Additionally, institutional isomorphism posits that organizations adjust to environmental pressures, including legal frameworks and social norms, by adopting analogous structures and practices, resulting in organizational homogeneity (Torres et al., 2020). In line with this, France, Morocco and Tunisia have all implemented mandatory joint audit requirements since the 1990s, and Morocco and Tunisia have adopted elements of the French public accounting system (Khlif et al., 2020). Furthermore, the legal deadlines for publishing audited financial reports are identical at 4 months in France, Morocco and Tunisia (Moalla et al., 2024; Fakhfakh Sakka and Jarboui, 2016). As a result, these long-standing regulatory traditions may standardize professional practices across different joint audit pairs, thereby reducing substantial differences in audit report delays across countries. Nevertheless, important differences that can influence these delays remain. For instance, there is variation in the adoption of IFRS: around 89.28% of French companies adopt IFRS, while only 28.63% of Moroccan and 10% of Tunisian firms do so. Given that companies applying IFRS may experience longer delays (Zhou et al., 2024), audit delays are expected to be longer in French companies. Conversely, unlike France, neither Morocco nor Tunisia regulates the division of labor among joint auditors. Since a balanced distribution of work may help reduce audit report delays (Hassan et al., 2026), this difference could result in shorter audit report delays in France. Finally, auditor tenure also differs: French auditors serve six-year terms that can be renewed (Nekhili et al., 2018); Moroccan auditors serve three-year terms that can be renewed once for a total of six years; and Tunisian auditors serve three-year terms that can be renewed up to two times, followed by a mandatory three-year break (Lajmi et al., 2021). Because changes in auditors require time to understand a new client’s operations (DeAngelo, 1981), which may delay the issuance of audit reports, audit report delays are again predicted to be shorter in French companies. Thus, this study also relies on the following hypotheses:

H3.

Mandatory joint audit report delays for French joint audit pairs are shorter than those for Moroccan and Tunisian pairs.

On the other hand, according to institutional isomorphism, given that Tunisia and Morocco share regional and developmental characteristics, we expect joint audit pairs to exhibit organizational convergence in audit practices, potentially reducing the audit report delay gap between the two countries. However, Tunisia has faced political, economic and social instability since the Tunisian Revolution of December 17, 2010, and its aftermath (Moalla, 2017), which may delay the submission of audited financial reports by listed companies. Therefore, our research also relies on the following hypothesis:

H4.

Mandatory joint audit report delays for Moroccan joint audit pairs are shorter than those for Tunisian pairs.

To construct the sample, we begin with all nonfinancial firms available in Worldscope that were listed on the major stock exchanges in France, Morocco and Tunisia during 2014–2023. The selection of these countries is based on multiple considerations. First, the accounting systems in Tunisia and Morocco show a strong influence from French practices, stemming from their historical connections, as both countries have adopted the French public accounting system (Khlif et al., 2020). Therefore, France, Tunisia and Morocco share specific regulations, as they also boast a longstanding tradition of joint auditing, originating in the 1990s and persisting to the present. France is the only EU member state to mandate joint audits for nonfinancial firms (Nurunnabi et al., 2020). Likewise, Tunisia and Morocco are unique in the MENA region for imposing this requirement on nonfinancial companies. However, unlike France, Tunisia has not established laws governing the allocation of joint audit work (Abdelmoula and Afess, 2019). The same applies to Moroccan law. Second, however, all three countries restrict nonaudit services; French firms predominantly use IFRS, while Moroccan and Tunisian firms apply local standards, potentially contributing to cross-country differences in audit report delays. Finally, while extensive joint audit research in general has been scrutinized in France, few efforts have targeted Tunisia and Morocco. Given the scant literature on joint audit report delays in general and, especially, between developed and developing countries, this study aims to bridge that gap by focusing on these two distinct regions.

Our sample comprised 820 companies: 664 in France, 75 in Morocco and 81 in Tunisia. We excluded 100 financial firms – 50 in France, 20 in Morocco and 30 in Tunisia – because their accounting rules were too complicated. We also excluded 67 firms (55 in France, 1 in Morocco and 11 in Tunisia) that were audited only by a single auditor throughout the sample period or by a single auditor at times and more than one auditor at other times. Additionally, we excluded 213 companies for which we could not obtain the necessary financial data from Worldscope (France: 200; Morocco: 3; Tunisia: 10). The final usable sample consisted of 440 nonfinancial companies listed over 10 years. This yielded 4,400 observations: 359 companies in France (3,590), 51 in Morocco (510) and 30 in Tunisia (300). The limited sample sizes of the Moroccan and Tunisian samples may restrict the generalizability of this study’s findings.

We obtained study data from two sources:

  1. financial information was gathered from the Worldscope database, while; and

  2. other information, such as auditor type (Big Four, international or local) and ARL, was collected by hand from annual reports of companies listed on the stock markets of France, Morocco and Tunisia from 2014 to 2023.

Table 1 explains the sample selection procedure.

Table 1.

Sample selection procedures

DataFranceMoroccoTunisiaTotal
Total sample6647581820
Financials502030100
Companies with a single audit or mixed single and joint audit during the sample time5511167
Companies with missing financial data during the sample period200310213
Final sample3595130440
Total number of observations3,5905103004,400
Source(s): Authors’ own creation

France, Morocco and Tunisia have implemented mandatory joint audit requirements since the 1990s. In addition, Morocco and Tunisia have adopted elements of the French Public Accounting System (Khlif et al., 2020). However, despite these similarities, significant contextual differences persist and can influence audit practices and the outcomes of mandatory joint audits. Therefore, a comparative analysis that considers both the shared regulatory traditions and these contextual differences can address a notable gap in the existing literature. For example, because auditor characteristics and resources significantly affect audit efficiency (Sutaryo and Lase, 2015), we divided the joint audit pair affiliations into six different pairs consistent with Hassan et al. (2026) and Van der Zahn and Tebourbi (2023): two Big Four auditors (B4B4), one Big Four auditor and one non-Big Four international auditor (B4S1), one Big Four auditor and one local auditor (B4S2), two non-Big Four international auditors (S1S1), one non-Big Four international auditor and one local auditor (S1S2) and two local auditors (S2S2).

Furthermore, the presence of at least one industry- specialized auditor within a joint audit pair may reduce delays in issuing mandatory joint audit reports, as a specialized auditor understands their sector in depth. This could lead to a more comprehensive grasp of sector characteristics (Owhoso et al., 2002). As a result, joint audit pairs with at least one industry-specialized auditor can complete audits more quickly than those without industry specialization. Therefore, the auditor industry specialization was accounted for in this study using a dummy variable set to 1 if at least one audit firm was industry-specialized and 0 otherwise. Moreover, the audit opinion may vary depending on the composition of the audit pairs, and as companies receiving a qualified opinion may experience longer audit delays (Bamber et al., 1993). Thus, this study also controls for the auditor’s opinion using a dummy variable that equals 1 if the opinion is qualified, negative or a disclaimer of opinion, and 0 otherwise.

Moreover, risk assessment is a key part of the audit process, influencing both its scope and timing. For example, audit risk tends to rise when companies face financial problems, such as losses, or have high leverage or low return on assets (ROA) (Durand, 2019). Losses suggest higher business risk and thus require more detailed audits (Bamber et al., 1993). Similarly, high leverage indicates increased financial risk, a greater chance of default and higher audit risk, which can affect audit timing (Carslaw and Kaplan, 1991). Given that the study sample includes most of the listed French, Tunisian and Moroccan nonfinancial companies, we address these factors by including a dummy variable for negative annual net income (loss) and by measuring leverage with the debt-to-assets ratio (LEV) and ROA. Additionally, the presence of restatements in financial statements, which indicates misrepresentation, may increase the risk of litigation against the auditor and, in turn, elevate business risk, thereby delaying the issuance of audit reports (Durand, 2019). As a result, we incorporated this variable (Restatement) into our models, assigning 1 if the financial statements were restated in the year and 0 otherwise.

Additionally, the term of audit tenure in France differs from that in Tunisia and Morocco. Specifically, French auditors serve six-year renewable terms (Nekhili et al., 2018), while Moroccan auditors have three-year terms, renewable once, for a maximum of six years, and Tunisian auditors also serve three-year terms, but these are renewable twice, followed by a mandatory three-year break (Lajmi et al., 2021). These variations in audit tenure may impact auditor continuity. Building on this, changes in auditors can influence joint audit practices, as auditors need time to understand a new client’s operations and systems (DeAngelo, 1981). This may delay the issuance of audit reports. To reflect this, a dummy variable for auditor changes is included: 1 if the company changed at least one joint auditor during the year, and 0 otherwise (CHANGE). Furthermore, there is variation in the application of IFRS across countries. Approximately 89.28% of French companies adopt these standards. In comparison, only 28.63% of Moroccan companies and 10% of Tunisian companies do so. The application of IFRS can affect audit timing. For example, Zhou et al. (2024) found that firms adopting IFRS experienced longer delays. Therefore, to account for these differences within and between countries, a dummy variable was introduced: 1 for firms adhering to IFRS and 0 for other firms.

On the other hand, this paper is based on most of the listed French, Tunisian and Moroccan nonfinancial companies. These companies differ in several ways. For example, large companies exert greater pressure on auditors and typically have stronger internal controls. These factors reduce delays in the preparation of audit reports (Ashton et al., 1989). Therefore, to account for firm size, the LnTA variable represents the natural logarithm of total assets at year-end t. Moreover, firm age can also significantly influence audit practices, as older firms are generally less prone to bankruptcy (Haak et al., 2018). Therefore, age is adjusted using the square root of the firm’s age (Sqrt_Age). This is calculated as the square root of the number of years from incorporation to year t. In addition, the number of sectors in which a firm operates can affect audit practices, as different sectors require different audit approaches (Chan et al., 1993). An increasing number of subsidiaries leads to more inter-company transactions and a greater workload for auditors (André et al., 2016). Consequently, these factors can delay the release of the audit report. To address these complexities, the square root of the number of subsidiaries (Sqrt_Sub) of firm i at year-end t was included as a control variable. The companies in the sample may also differ in their financial position and ability to meet obligations. As a result, the audit effort required by different joint audit pairs may differ. Since audits often focus on current assets (Myers, 1977), the current-to-current-liabilities (LIQ) ratio is used to measure liquidity risk as a control variable.

Furthermore, most companies in the sample have a fiscal year-end of December 31. Since client balance sheet dates during peak periods can cause scheduling problems for auditors and potentially delay the audit process (Carslaw and Kaplan, 1991), the audit season duration (BUSY) was included as a dummy variable: companies ending their fiscal year on December 31 or January 31 were assigned a value of 1, while all others were assigned a value of 0. Ownership structures also vary across these companies; in concentrated ownership, major shareholders may closely monitor activities, reducing the need for audits and affecting their timing (Palmrose, 1986). To account for ownership concentration, the percentage of closely held shares (SHARES) was used as a control. Also, the market-to-book ratio was included as a control variable; values greater than 1 indicate greater conservatism (Elmashtawy et al., 2024). Finally, to isolate the effects of industry and year in our analyses, we included industry- and year-fixed effects in our models, as in most previous studies. Table 2 summarizes variable definitions and measurements.

Table 2.

Summary of variables definitions

VariableDefinition
Panel A: Audit firm classification
B4The audit firms (1) Deloitte and Associes; (2) ERNST and YOUNG; (3) KPMG and (4) Price Waterhouse Coopers (PwC) are classified as Big4 audit firms
S1Internationally affiliated audit firms: Baker tilly, BDO, Crowe Howarth, Grant Thornton, Mazars, Nexia, PKF, RSM and BM&A
S2Audit firms not identified B4 or S1 recognized as local auditing firms
Panel B: Independent variables (joint audit combinations)
B4B4If the external audit of the firm, I in year t, is conducted by a joint audit comprising Two (2) Big4 audit firms, then it is scored One (1); otherwise, it is scored zero (0)
B4S1If the external audit of the firm, I in year t, is conducted by a joint audit comprising One Big4 and One international auditing firm, then it is scored One (1); otherwise, it is scored zero (0)
B4S2If the external audit of the firm, I in year t, is conducted by a joint audit comprising One Big4 and One local auditing firm, then scored One (1); otherwise, scored zero (0)
S1S1If the external audit of the firm, I in year t, is conducted by a joint audit comprising Two international auditing firms, then scored One (1); otherwise scored zero (0)
S1S2If the external audit of the firm, I in year t, is conducted by a joint audit comprising One international and One local auditing firm, then scored One (1); otherwise scored zero (0)
S2S2If the external audit of firm I, in year t, is conducted by a joint audit comprising Two local auditing firms, then scored One (1); otherwise scored zero (0)
Panel C: Dependent variables
ARLThe number of days from the end of the financial year (i.e. 31 December) of firm i in year t to the date the independent audit report is signed and issued
Panel E: Control variables
Sqrt_SubSquare root of the number of subsidiaries of firm I in year t
LOSSan indicator variable that takes the value of 1 if net income is negative, and 0 otherwise
ROARatio of net income of firm I reported for year t to the total assets of firm i at the end of year t
LEVRatio of total debt to total assets of firm I at the end of year t
SHARESThe percentage of closely held shares
RestatementAn indicator variable equal to 1 if a financial statement restatement has been reported in the current year and 0 otherwise
OPINIONFirm i in year t is scored One (1) if the audit opinion is a qualified, adverse or disclaimer opinion; otherwise, it is scored zero (0)
MTBThe ratio of the market value of equity of firm i at the end of year t to the book value of equity of firm i at the end of year t
BUSYEquals One for firms with a fiscal year-end date between 12/31 and January, zero otherwise
LNTANatural logarithm of total assets of firm i at the end of year t
CHANGE1 if the client firm changed auditor during the year, and 0 otherwise
Sqrt_AgeSquare root of the number of years since establishment
IFRSIn year t, a firm receives a score of One (1) if it adopts IFRS standards; otherwise, it is assigned a score of zero (0)
SPECDummy variable equal to 1 if at least One audit firm is an industry specialist and zero otherwise
Source(s): Authors’ own creation

The empirical analysis relies on three primary regression specifications. Model 1 examines within-country differences in audit report delay across the six joint-audit pair types separately for France, Morocco and Tunisia. The functional form is presented below:

(1)

Model 1 runs separately for France, Morocco and Tunisia. ARL is the dependent variable and measures audit report delay as the number of calendar days from the fiscal year-end to the date the joint-audit report is signed. The model is estimated six times in each country, each time using a different joint-audit pair category as the reference (omitted) category. This approach allows pairwise comparisons across all six categories and robustly identifies which pair type(s) are associated with the shortest (or longest) delays in each country. Consistent with Hassan et al. (2026) and Van der Zahn and Tebourbi (2023), the six joint-audit pair dummy variables are defined as follows:

  • B4B4 – 1 if both auditors are Big Four, 0 otherwise;

  • B4S1 – 1 if one auditor is Big Four and the other is non-Big Four international, 0 otherwise;

  • B4S2 – 1 if one auditor is Big Four and the other is local (noninternational), 0 otherwise;

  • S1S1 –1 if both auditors are non-Big Four international, 0 otherwise;

  • S1S2 –1 if one auditor is non-Big Four international and the other is local, 0 otherwise; and

  • S2S2 –1 if both auditors are local, 0 otherwise.

One category is omitted in each estimation to avoid perfect collinearity. All other independent variables and controls are identical to those described earlier. Complete variable definitions and measurement details are provided in Table 2.

Model 2 examines differences in audit report delays between French firms and either Moroccan or Tunisian firms, while controlling for the presence of at least one Big Four auditor in the joint-audit pair. The functional form is as follows:

(2)

In this specification, France is the reference country. ARL is defined as previously described. The dummy variables are:

  • FRi,t –1 for French firm-years, 0 otherwise (reference category);

  • MOi,t –1 for Moroccan firm-years, 0 otherwise;

  • TUi,t –1 for Tunisian firm-years, 0 otherwise; and

  • ATLEASTONE_BIG4i,t – 1 if at least one of the two auditors is Big Four, 0 otherwise.

All other control variables are identical to those used in Model 1 (see Table 2 for complete definitions and measurements). Moreover, Model 3 combines country and joint-audit pair indicators to provide a comprehensive comparison of audit report delays across the three countries and the six pair types. The functional form is presented below.

(3)

Model 3 provides a complete pairwise comparison of audit report delays across the six joint-audit pair types and the three countries. The specification is estimated separately for each country-pair combination (France–Morocco, France–Tunisia and Morocco–Tunisia).

Within each country-pair analysis, the model is run six times, each time using a different joint-audit pair from the reference country as the omitted (baseline) category. This allows direct statistical comparison of every joint-audit pair in one country against all pairs in the other country. For example:

  • One specification uses B4B4FR as the reference and compares all six Moroccan pairs (B4B4MO … S2S2MO) to it.

  • The next uses B4S1FR as the reference and again compares all six Moroccan pairs to it, and so forth.

The same rotating-reference procedure is applied to the France–Tunisia and Morocco–Tunisia comparisons. The dependent variable (ARL), control variables and measurement details remain the same as in Models 1 and 2 (see Table 2 for complete variable definitions and measurements).

4.1.1 The allocation of joint audit pairings across nations.

Figure 1 presents the distribution of joint-audit pair types across the three countries. The Big Four dominate the French market: 74.82% of French firm-year observations are audited by one of the three pair types that include at least one Big Four auditor (B4B4, B4S1, B4S2), leaving only 25.18% audited exclusively by non-Big Four firms. In contrast, the Big Four are far less dominant in Morocco and Tunisia, where only 48.04% and 59.00% of observations, respectively, involve at least one Big Four auditor. This indicates a more balanced audit market in the two MENA countries.

Figure 1.
Bar chart compares joint audit pair distributions across France, Morocco, and Tunisia.The bar chart presents joint audit pair percentages for France, Morocco, and Tunisia. For B 4 B 4, the values are 19.92, 10, and 7. For B 4 S 1, they are 30.42, 17.06, and 17. For B 4 S 2, they are 24.48, 20.98, and 35. Total B 4 pairs are 74.82, 48.04, and 59. For S 1 S 1, the values are 5.96, 11.18, and 3.33. For S 1 S 2, they are 11.06, 21.96, and 8. For S 2 S 2, they are 8.16, 18.82, and 29.67. Total non B 4 pairs are 25.18, 51.69, and 41.

Distribution of joint audit combinations over three countries

Source: Authors’ own creation

Figure 1.
Bar chart compares joint audit pair distributions across France, Morocco, and Tunisia.The bar chart presents joint audit pair percentages for France, Morocco, and Tunisia. For B 4 B 4, the values are 19.92, 10, and 7. For B 4 S 1, they are 30.42, 17.06, and 17. For B 4 S 2, they are 24.48, 20.98, and 35. Total B 4 pairs are 74.82, 48.04, and 59. For S 1 S 1, the values are 5.96, 11.18, and 3.33. For S 1 S 2, they are 11.06, 21.96, and 8. For S 2 S 2, they are 8.16, 18.82, and 29.67. Total non B 4 pairs are 25.18, 51.69, and 41.

Distribution of joint audit combinations over three countries

Source: Authors’ own creation

Close modal

4.1.2 The distribution of audit delay days over countries.

Table 3 reports the proportion of firms that publish audited financial statements within four months (approximately 120 days) of the fiscal year-end. Compliance is high in France (81.73% of firm-years) and particularly high in Morocco (91.76%). In sharp contrast, only 42.99% of Tunisian firm-years meet this four-month threshold (Fakhfakh Sakka and Jarboui, 2016). These results underscore marked cross-country differences in reporting timeliness.

Table 3.

Distribution of audit delay days over three countries

Table Summary:** The table is titled “Audit Delay Days” and consists of three main columns representing different countries: France, Morocco, and Tunisia. Each country has separate sub-columns for the number of instances (N), percentage (%), and cumulative percentage (CUM). The data is arranged in 7 rows corresponding to the range of audit delay days, from 21 to 348, with an additional row for the total. The rows show a mixture of numerical values and percentages, along with a significant value highlighted for the range of 106 to 120 days in both France and Morocco. The data flows from left to right across the countries and from top to bottom with the increasing audit delay days. Each country's entries are independently calculated and presented without repeating header titles for subsequent sections.  **:** A table displaying audit delay days with data for France, Morocco, and Tunisia, showing counts and percentages across different delay ranges.
Source(s): Authors’ own creation

4.1.3 Sample descriptive statistics.

Table 4 reports descriptive statistics for all continuous and dummy variables separately by country. Mean audit report delay is 103.75 days in France, 96.13 days in Morocco and 144.01 days in Tunisia. The shortest observed delays are 21 days (France), 35 days (Morocco) and 54 days (Tunisia), whereas the longest are 311 days (France), 148 days (Morocco) and 348 days (Tunisia). Standard deviations are 29.35 days, 24.22 days and 55.58 days, respectively. These comparisons indicate that Moroccan firms, on average, publish audited reports fastest, followed by French firms; Tunisian firms exhibit the longest delays and the greatest dispersion. However, differences in firm characteristics, regulatory deadlines and market practices across the three countries preclude direct causal attribution of these disparities solely to the joint-audit regime.

Table 4.

Sample descriptive statistics

VariablesMeanSDMinp25Medianp75Max
Panel A: France (N = 3,590; 359 companies)
Panel A1 Continuous variables
ARL103.75129.3462185110119311
LNTA13.242.3843.17811.52513.02214.89618.833
SHARES52.32726.0120.0133.7356.80471.6499.97
LEV27.54717.8090.1213.4425.9638.6976.15
ROA−0.07712.230−41.19−0.043.145.8917.1
MTB1.8981.7460.020.791.352.377.54
Sqrt_SUB6.9096.41902.64658.48552.431
Sqrt_Age6.8222.5032.64656.1648.42613.191
VariablesYES%
Panel A2: Dummy variables
LOSS101528.27
IFRS320589.28
BUSY292781.53
OPINION352198.08
Restatement79822.23
CHANGE2456.82
Panel B: Morocco (N = 510; 51 companies)
Panel B1 Continuous variables
ARL96.12724.217358292117148
LNTA12.1061.5848.53710.84112.0513.35815.741
SHARES70.05915.3995.5662.4971.41580.2697.91
LEV21.00317.2080.026.7918.82530.8671
ROA5.6726.045−8.282.385.379.4518.79
MTB2.3841.7420.1311.9753.486.74
Sqrt_SUB1.5211.7570012.4498.66
Sqrt_Age7.0221.84435.4776.7828.60210.247
Panel B2: Dummy variables
VariablesYes%
LOSS8516.67
IFRS14628.63
BUSY50098.4
OPINION48695.29
Restatement448.63
CHANGE5210.20
Panel C: Tunisia (N = 300; 30 companies)
Panel C1 Continuous variables
ARL144.01355.58354115130.5160.5348
LNTA11.5831.0698.6510.81811.47712.30214.181
SHARES69.31813.12424.8261.46773.06176.15396.37
LEV36.94824.3580.0214.7938.53555.20591.94
ROA5.227.236−9.851.4755.3110.1321.23
MTB1.6621.3360.120.5951.4552.435.12
Sqrt_SUB1.8151.937001.5732.6469.487
Sqrt_Age5.9561.8012.6464.5835.9167.1069.95
VariablesYES%
Panel C2: Dummy variables
LOSS10133.67
IFRS3010
BUSY300100
OPINION29698.67
Restatement4515
CHANGE3612
Source(s): Authors’ own creation

4.2.1 Regression results for the effect of different joint audit pairs on audit report delays in the French, Moroccan and Tunisian companies.

Table 5 presents the results of Model 1 estimated separately for France, Morocco and Tunisia. For each country, the model is run six times, each time omitting a different joint-audit pair as the reference category (Models 1–6). This rotating-reference approach permits full pairwise comparisons of delay across all six pair types. The statistical significance of these pairwise differences is summarized in Figures 2 (France), 3 (Morocco) and 4 (Tunisia).

Table 5.

Regression results for the effect of different joint audit pairs on audit report delays in French, Moroccan and Tunisian companies

VariablesFrench subsampleMoroccan subsampleTunisian subsample
123456123456123456
B4B4−4.233*** (1.110)−9.834*** (1.307)−7.195*** (1.679)−11.08*** (1.650)−18.86*** (1.724)−1.083 (3.199)9.630** (4.377)3.107 (3.971)10.27** (4.194)17.78*** (4.452)68.10*** (11.86)49.47*** (11.13)71.98*** (16.55)56.92*** (17.24)58.25*** (10.66)
B4S14.233*** (1.110)−5.601*** (1.016)−2.962** (1.503)−6.844*** (1.456)−14.63*** (1.525)1.083 (3.199)10.71*** (3.769)4.190 (3.437)11.35*** (3.375)18.86*** (3.739)−68.10*** (11.86)−18.64** (8.230)3.880 (13.55)−11.19 (15.08)−9.855 (8.149)
B4S29.834*** (1.307)5.601*** (1.016)2.639* (1.485)−1.243 (1.358)−9.026*** (1.466)−9.630** (4.377)−10.71*** (3.769)−6.523 (3.987)0.635 (3.528)8.151** (3.520)−49.47*** (11.13)18.64** (8.230)22.52 (15.37)7.451 (16.15)8.782 (7.757)
S1S17.195*** (1.679)2.962** (1.503)−2.639* (1.485)−3.881** (1.738)−11.67*** (1.847)−3.107 (3.971)−4.190 (3.437)6.523 (3.987)7.158** (3.267)14.67*** (3.937)−71.98*** (16.55)−3.880 (13.55)−22.52 (15.37)−15.07 (17.30)−13.73 (14.74)
S1S211.08*** (1.650)6.844*** (1.456)1.243 (1.358)3.881** (1.738)−7.784*** (1.718)−10.27** (4.194)−11.35*** (3.375)−0.635 (3.528)−7.158** (3.267)7.516** (3.247)−56.92*** (17.24)11.19 (15.08)−7.451 (16.15)15.07 (17.30)1.331 (16.20)
S2S218.86*** (1.724)14.63*** (1.525)9.026*** (1.466)11.67*** (1.847)7.784*** (1.718)−17.78*** (4.452)−18.86*** (3.739)−8.151** (3.520)−14.67*** (3.937)−7.516** (3.247)−58.25*** (10.66)9.855 (8.149)−8.782 (7.757)13.73 (14.74)−1.331 (16.20)
SPEC5.777*** (2.001)5.777*** (2.001)5.777*** (2.001)5.777*** (2.001)5.777*** (2.001)5.777*** (2.001)−2.069 (2.816)−2.069 (2.816)−2.069 (2.816)−2.069 (2.816)−2.069 (2.816)−2.069 (2.816)18.58*** (6.600)18.58*** (6.600)18.58*** (6.600)18.58*** (6.600)18.58*** (6.600)18.58*** (6.600)
LNTA−3.961*** (0.319)−3.961*** (0.319)−3.961*** (0.319)−3.961*** (0.319)−3.961*** (0.319)−3.961*** (0.319)−3.900*** (1.277)−3.900*** (1.277)−3.900*** (1.277)−3.900*** (1.277)−3.900*** (1.277)−3.900*** (1.277)−15.32*** (4.944)−15.32*** (4.944)−15.32*** (4.944)−15.32*** (4.944)−15.32*** (4.944)−15.32*** (4.944)
BUSY−2.718*** (0.927)−2.718*** (0.927)−2.718*** (0.927)−2.718*** (0.927)−2.718*** (0.927)−2.718*** (0.927)−58.86*** (4.508)−58.86*** (4.508)−58.86*** (4.508)−58.86*** (4.508)−58.86*** (4.508)−58.86*** (4.508)
IFRS−4.580*** (1.244)−4.580*** (1.244)−4.580*** (1.244)−4.580*** (1.244)−4.580*** (1.244)−4.580*** (1.244)−8.139** (3.644)−8.139** (3.644)−8.139** (3.644)−8.139** (3.644)−8.139** (3.644)−8.139** (3.644)0.936 (12.19)0.936 (12.19)0.936 (12.19)0.936 (12.19)0.936 (12.19)0.936 (12.19)
OPINION5.325* (2.757)5.325* (2.757)5.325* (2.757)5.325* (2.757)5.325* (2.757)5.325* (2.757)−8.214* (4.401)−8.214* (4.401)−8.214* (4.401)−8.214* (4.401)−8.214* (4.401)−8.214* (4.401)67.94*** (21.54)67.94*** (21.54)67.94*** (21.54)67.94*** (21.54)67.94*** (21.54)67.94*** (21.54)
CHANGE2.076 (1.407)2.076 (1.407)2.076 (1.407)2.076 (1.407)2.076 (1.407)2.076 (1.407)−1.073 (2.998)−1.073 (2.998)−1.073 (2.998)−1.073 (2.998)−1.073 (2.998)−1.073 (2.998)−0.452 (8.224)−0.452 (8.224)−0.452 (8.224)−0.452 (8.224)−0.452 (8.224)−0.452 (8.224)
LOSS1.851* (1.092)1.851* (1.092)1.851* (1.092)1.851* (1.092)1.851* (1.092)1.851* (1.092)4.452 (2.789)4.452 (2.789)4.452 (2.789)4.452 (2.789)4.452 (2.789)4.452 (2.789)13.53 (9.203)13.53 (9.203)13.53 (9.203)13.53 (9.203)13.53 (9.203)13.53 (9.203)
LEV−0.0144 (0.0246)−0.0144 (0.0246)−0.0144 (0.0246)−0.0144 (0.0246)−0.0144 (0.0246)−0.0144 (0.0246)−0.0410 (0.0606)−0.0410 (0.0606)−0.0410 (0.0606)−0.0410 (0.0606)−0.0410 (0.0606)−0.0410 (0.0606)0.462*** (0.161)0.462*** (0.161)0.462*** (0.161)0.462*** (0.161)0.462*** (0.161)0.462*** (0.161)
ROA0.0837* (0.0464)0.0837* (0.0464)0.0837* (0.0464)0.0837* (0.0464)0.0837* (0.0464)0.0837* (0.0464)−0.277 (0.253)−0.277 (0.253)−0.277 (0.253)−0.277 (0.253)−0.277 (0.253)−0.277 (0.253)−0.0758 (0.536)−0.0758 (0.536)−0.0758 (0.536)−0.0758 (0.536)−0.0758 (0.536)−0.0758 (0.536)
MTB−1.327*** (0.222)−1.327*** (0.222)−1.327*** (0.222)−1.327*** (0.222)−1.327*** (0.222)−1.327*** (0.222)0.000622 (0.643)0.000622 (0.643)0.000622 (0.643)0.000622 (0.643)0.000622 (0.643)0.000622 (0.643)−2.267 (2.251)−2.267 (2.251)−2.267 (2.251)−2.267 (2.251)−2.267 (2.251)−2.267 (2.251)
Sqrt_Sub−0.134 (0.0986)−0.134 (0.0986)−0.134 (0.0986)−0.134 (0.0986)−0.134 (0.0986)−0.134 (0.0986)3.936*** (0.756)3.936*** (0.756)3.936*** (0.756)3.936*** (0.756)3.936*** (0.756)3.936*** (0.756)2.456* (1.372)2.456* (1.372)2.456* (1.372)2.456* (1.372)2.456* (1.372)2.456* (1.372)
LIQ−0.0223*** (0.00492)−0.0223*** (0.00492)−0.0223*** (0.00492)−0.0223*** (0.00492)−0.0223*** (0.00492)−0.0223*** (0.00492)0.0135 (0.0113)0.0135 (0.0113)0.0135 (0.0113)0.0135 (0.0113)0.0135 (0.0113)0.0135 (0.0113)−0.179*** (0.0278)−0.179*** (0.0278)−0.179*** (0.0278)−0.179*** (0.0278)−0.179*** (0.0278)−0.179*** (0.0278)
Sqrt_Age−0.617*** (0.162)−0.617*** (0.162)−0.617*** (0.162)−0.617*** (0.162)−0.617*** (0.162)−0.617*** (0.162)−1.809*** (0.637)−1.809*** (0.637)−1.809*** (0.637)−1.809*** (0.637)−1.809*** (0.637)−1.809*** (0.637)2.074 (1.477)2.074 (1.477)2.074 (1.477)2.074 (1.477)2.074 (1.477)2.074 (1.477)
SHARES0.129*** (0.0167)0.129*** (0.0167)0.129*** (0.0167)0.129*** (0.0167)0.129*** (0.0167)0.129*** (0.0167)0.0438 (0.0832)0.0438 (0.0832)0.0438 (0.0832)0.0438 (0.0832)0.0438 (0.0832)0.0438 (0.0832)−0.0895 (0.237)−0.0895 (0.237)−0.0895 (0.237)−0.0895 (0.237)−0.0895 (0.237)−0.0895 (0.237)
Restatement1.017 (0.896)1.017 (0.896)1.017 (0.896)1.017 (0.896)1.017 (0.896)1.017 (0.896)2.442 (3.398)2.442 (3.398)2.442 (3.398)2.442 (3.398)2.442 (3.398)2.442 (3.398)5.752 (5.698)5.752 (5.698)5.752 (5.698)5.752 (5.698)5.752 (5.698)5.752 (5.698)
Year FEYesYesYesYesYesYesYesYesYesYesYesYesYesYesYesYesYesYes
Industry FEYesYesYesYesYesYesYesYesYesYesYesYesYesYesYesYesYesYes
Constant152.4*** (5.512)156.6*** (5.399)162.2*** (5.218)159.6*** (5.341)163.5*** (5.190)171.3*** (5.240)215.6*** (20.33)216.7*** (19.97)206.0*** (18.38)212.5*** (19.83)205.3*** (18.82)197.8*** (17.77)294.2*** (58.47)226.1*** (54.65)244.8*** (53.09)222.3*** (61.17)237.3*** (57.11)236.0*** (53.37)
Observations3,5903,5903,5903,5903,5903,590510510510510510510300300300300300300
R-squared0.3640.3640.3640.3640.3640.3640.4510.4510.4510.4510.4510.4510.4570.4570.4570.4570.4570.457
Note(s):

***, **, * indicates significant at 1, 5, and 10% significance levels, respectively

Source(s): Authors’ own creation
Figure 2.
Bar chart compares audit report delay differences across six French joint audit pair categories.The bar chart presents differences in audit report delays among French firms. The horizontal axis lists six joint audit pair categories, B 4 B 4 F R, B 4 S 1 F R, B 4 S 2 F R, S 1 S 1 F R, S 1 S 2 F R, and S 2 S 2 F R. Each category contains multiple bars. Bar heights vary above and below the baseline, indicating different delay values across the audit pair categories.

Differences in audit report delays in the French firms across joint audit pairs

Source: Authors’ own creation

Figure 2.
Bar chart compares audit report delay differences across six French joint audit pair categories.The bar chart presents differences in audit report delays among French firms. The horizontal axis lists six joint audit pair categories, B 4 B 4 F R, B 4 S 1 F R, B 4 S 2 F R, S 1 S 1 F R, S 1 S 2 F R, and S 2 S 2 F R. Each category contains multiple bars. Bar heights vary above and below the baseline, indicating different delay values across the audit pair categories.

Differences in audit report delays in the French firms across joint audit pairs

Source: Authors’ own creation

Close modal

The results in Table 5 and Figure 2 show that French companies audited by two Big Four firms (B4B4FR) have the shortest delays. This is followed by companies audited by B4S1FR, B4S2FR, S1S1FR, S1S2FR, and finally S2S2FR, with the longest delays. Most pairwise differences are statistically significant, confirming H1: more international auditors, especially Big Four, on an audit team reduce delays, especially in advanced contexts such as the French context. This is consistent with prior evidence linking greater Big Four involvement to faster completion (Khoufi and Khoufi, 2018; Alfraih, 2016). Consequently, these findings highlight the quality and rigor of external audits in minimizing delays and indicate that Big Four auditors finish audits more quickly than non-Big Four firms, likely due to superior resources, expertise and greater reputational incentives (Al-Ajmi, 2008; Afify, 2009). These outcomes also align with those of Deng et al. (2014), who assumed that free-riding does not occur in B4B4 pairs, suggesting that multiple perspectives facilitate better decision-making and reduce audit delays.

Furthermore, unlike in France, Table 5 and Figures 3 and 4 show that audit report delays are longer when Moroccan or Tunisian companies are audited by a pair of Big Four firms (B4B4MO/TU) than in other joint auditor pairings. These findings confirm the second hypothesis: in developing contexts such as Tunisia and Morocco, pairs involving two Big Four firms may increase delays as they protect reputations and mitigate litigation risks by expanding audit scope to compensate for weak governance. For Moroccan firms, Table 5 and Figure 3 show the shortest delays among those audited by two local auditors (S2S2MO), followed by one non-Big Four international and one local (S1S2MO), then one Big Four and one local auditor (B4S2MO). This pattern supports the second hypothesis, suggesting that local auditors outside the Big Four may reduce delays by maintaining ongoing access to client information and greater regional awareness. Table 5 and Figure 4 also indicate that Tunisian firms audited by two non-Big Four international auditors (S1S1TU) experience significantly shorter delays than those audited by any other pair. This underscores the substantial role international auditors can play in reducing delays. Therefore, results confirm that delays in the mandatory joint audit report vary not only with joint audit pair composition but also with institutional context. However, caution is warranted due to small sample sizes in Morocco and Tunisia, which may limit generalizability.

Figure 3.
A bar graph displays differences in audit report delays for Moroccan firms across several joint audit pair categories.The graph illustrates differences in audit report delays among various joint audit pairs of Moroccan firms. It consists of several vertical bars grouped by different audit pair designations, including B 4 B 4 M O, B 4 S 1 M O, B 4 S 2 M O, S 1 S 1 M O, S 1 S 2 M O, and S 2 S 2 M O. Each group contains multiple bars representing different categories. The bars are arranged from left to right across the audit pair combinations. The height of each bar corresponds to the delay value, with bars extending above and below the baseline to show positive and negative differences.

Differences in audit report delays in the Moroccan firms across joint audit pairs

Source: Authors’ own creation

Figure 3.
A bar graph displays differences in audit report delays for Moroccan firms across several joint audit pair categories.The graph illustrates differences in audit report delays among various joint audit pairs of Moroccan firms. It consists of several vertical bars grouped by different audit pair designations, including B 4 B 4 M O, B 4 S 1 M O, B 4 S 2 M O, S 1 S 1 M O, S 1 S 2 M O, and S 2 S 2 M O. Each group contains multiple bars representing different categories. The bars are arranged from left to right across the audit pair combinations. The height of each bar corresponds to the delay value, with bars extending above and below the baseline to show positive and negative differences.

Differences in audit report delays in the Moroccan firms across joint audit pairs

Source: Authors’ own creation

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Figure 4.
A bar chart shows differences in audit report delays for Tunisian firms across various joint audit pair categories.The chart presents differences in audit report delays among Tunisian firms across different joint audit pairs. The horizontal axis displays audit pair categories labelled B 4 B 4 T U, B 4 S 1 T U, B 4 S 2 T U, S 1 S 1 T U, S 1 S 2 T U, and S 2 S 2 T U. Each category has a set of vertical bars representing different comparison groups. The vertical axis indicates the degree of delay, with bars extending above and below the baseline to show positive and negative differences. The bars vary in height across the joint audit pair categories.

Differences in audit report delays in the Tunisian firms across joint audit pairs

Source: Authors’ own creation

Figure 4.
A bar chart shows differences in audit report delays for Tunisian firms across various joint audit pair categories.The chart presents differences in audit report delays among Tunisian firms across different joint audit pairs. The horizontal axis displays audit pair categories labelled B 4 B 4 T U, B 4 S 1 T U, B 4 S 2 T U, S 1 S 1 T U, S 1 S 2 T U, and S 2 S 2 T U. Each category has a set of vertical bars representing different comparison groups. The vertical axis indicates the degree of delay, with bars extending above and below the baseline to show positive and negative differences. The bars vary in height across the joint audit pair categories.

Differences in audit report delays in the Tunisian firms across joint audit pairs

Source: Authors’ own creation

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4.2.2 Regression results for the effect of different joint audit pairs on audit report delays across French, Moroccan and Tunisian companies.

Table 6 reports the results of Model 2 and Model 3, which provide pairwise cross-country comparisons of audit report delays (France vs Morocco, France vs Tunisia and Morocco vs Tunisia). For each country-pair comparison, the model is estimated six times, each time using a different joint-audit pair from the reference country as the omitted benchmark. We summarized the statistical significance of these cross-country comparisons in Figures 5 and 6.

Table 6.

Regression results for the effect of different joint audit pairs on audit report delays across French, Moroccan and Tunisian companies

  France vs Morocco  France VS TunisiaMorocco VS Tunisia
Variables123456712345671234567
Morocco/Tunisia−17.21*** (1.619)18.91*** (2.967)33.23*** (3.811)
B4B4−6.914** (2.967)−10.32*** (2.844)−15.74*** (2.876)−13.58*** (3.048)−17.11*** (3.036)−24.19*** (3.059)57.57*** (8.387)53.12*** (8.330)47.45*** (8.298)50.04*** (8.387)46.33*** (8.339)37.83*** (8.287)56.67*** (9.410)54.58*** (8.759)70.87*** (8.912)58.41*** (8.539)69.46*** (8.512)68.69*** (8.158)
B4S1−4.546 (2.880)−7.953*** (2.741)−13.38*** (2.748)−11.21*** (2.955)−14.74*** (2.914)−21.82*** (2.904)19.03*** (5.594)14.58*** (5.548)8.909 (5.499)11.50** (5.588)7.794 (5.593)−0.712 (5.571)12.00 (8.273)9.913 (7.725)26.20*** (6.720)13.74* (7.428)24.79*** (6.960)24.02*** (6.305)
B4S2−5.504* (3.241)−8.911*** (3.102)−14.33*** (3.069)−12.17*** (3.234)−15.70*** (3.216)−22.78*** (3.208)26.74*** (4.271)22.28*** (4.179)16.62*** (4.135)19.21*** (4.315)15.50*** (4.255)6.994* (4.219)28.57*** (6.841)26.48*** (5.970)42.77*** (5.771)30.30*** (5.667)41.36*** (5.537)40.58*** (4.603)
S1S1−4.510 (2.970)−7.916*** (2.812)−13.34*** (2.806)−11.18*** (3.024)−14.70*** (2.985)−21.79*** (2.959)−9.484*** (3.518)−13.94*** (3.391)−19.61*** (3.423)−17.02*** (3.575)−20.72*** (3.558)−29.23*** (3.613)−5.008 (5.916)−7.100 (5.247)9.186* (5.416)−3.276 (4.481)7.780* (4.527)7.003 (5.228)
S1S2−13.26*** (2.853)−16.67*** (2.658)−22.09*** (2.604)−19.93*** (2.850)−23.45*** (2.755)−30.54*** (2.710)33.84*** (11.07)29.39*** (11.03)23.72** (10.98)26.31** (11.08)22.60** (11.00)14.10 (10.98)24.42** (12.10)22.33* (11.77)38.62*** (11.39)26.15** (11.99)37.21*** (11.96)36.43*** (11.29)
S2S2−18.54*** (3.067)−21.95*** (2.917)−27.37*** (2.855)−25.21*** (3.061)−28.73*** (3.004)−35.82*** (2.968)33.52*** (5.982)29.07*** (5.940)23.40*** (5.831)25.99*** (6.002)22.29*** (5.850)13.78** (5.756)22.19** (9.863)20.10** (8.781)36.38*** (7.479)23.92*** (8.349)34.98*** (7.636)34.20*** (6.985)
SPEC−0.245 (1.620)0.383 (1.643)0.383 (1.643)0.383 (1.643)0.383 (1.643)0.383 (1.643)0.383 (1.643)7.877*** (2.408)12.09*** (2.476)12.09*** (2.476)12.09*** (2.476)12.09*** (2.476)12.09*** (2.476)12.09*** (2.476)4.411 (3.363)8.702** (3.519)8.702** (3.519)8.702** (3.519)8.702** (3.519)8.702** (3.519)8.702** (3.519)
LNTA−4.689*** (0.287)−3.955*** (0.304)−3.955*** (0.304)−3.955*** (0.304)−3.955*** (0.304)−3.955*** (0.304)−3.955*** (0.304)−5.019*** (0.312)−4.071*** (0.330)−4.071*** (0.330)−4.071*** (0.330)−4.071*** (0.330)−4.071*** (0.330)−4.071*** (0.330)−1.588 (1.221)−4.066*** (1.487)−4.066*** (1.487)−4.066*** (1.487)−4.066*** (1.487)−4.066*** (1.487)−4.066*** (1.487)
BUSY−4.665*** (0.948)−3.674*** (0.939)−3.674*** (0.939)−3.674*** (0.939)−3.674*** (0.939)−3.674*** (0.939)−3.674*** (0.939)−3.679*** (0.962)−2.673*** (0.942)−2.673*** (0.942)−2.673*** (0.942)−2.673*** (0.942)−2.673*** (0.942)−2.673*** (0.942)−50.17*** (6.078)−52.07*** (6.224)−52.07*** (6.224)−52.07*** (6.224)−52.07*** (6.224)−52.07*** (6.224)−52.07*** (6.224)
IFRS−5.143*** (1.187)−4.393*** (1.204)−4.393*** (1.204)−4.393*** (1.204)−4.393*** (1.204)−4.393*** (1.204)−4.393*** (1.204)−6.807*** (1.485)−4.703*** (1.501)−4.703*** (1.501)−4.703*** (1.501)−4.703*** (1.501)−4.703*** (1.501)−4.703*** (1.501)−12.92*** (3.916)−12.08*** (3.924)−12.08*** (3.924)−12.08*** (3.924)−12.08*** (3.924)−12.08*** (3.924)−12.08*** (3.924)
OPINION−1.051 (2.475)−0.197 (2.501)−0.197 (2.501)−0.197 (2.501)−0.197 (2.501)−0.197 (2.501)−0.197 (2.501)5.553** (2.658)6.578** (2.709)6.578** (2.709)6.578** (2.709)6.578** (2.709)6.578** (2.709)6.578** (2.709)−1.226 (3.777)−1.477 (4.042)−1.477 (4.042)−1.477 (4.042)−1.477 (4.042)−1.477 (4.042)−1.477 (4.042)
CHANGE3.084** (1.326)2.876** (1.327)2.876** (1.327)2.876** (1.327)2.876** (1.327)2.876** (1.327)2.876** (1.327)1.523 (1.751)1.366 (1.709)1.366 (1.709)1.366 (1.709)1.366 (1.709)1.366 (1.709)1.366 (1.709)0.855 (4.535)−0.668 (4.470)−0.668 (4.470)−0.668 (4.470)−0.668 (4.470)−0.668 (4.470)−0.668 (4.470)
LOSS2.135** (1.063)2.621** (1.044)2.621** (1.044)2.621** (1.044)2.621** (1.044)2.621** (1.044)2.621** (1.044)5.263*** (1.289)5.246*** (1.259)5.246*** (1.259)5.246*** (1.259)5.246*** (1.259)5.246*** (1.259)5.246*** (1.259)19.48*** (4.354)17.47*** (4.310)17.47*** (4.310)17.47*** (4.310)17.47*** (4.310)17.47*** (4.310)17.47*** (4.310)
LEV−0.0341 (0.0237)−0.0362 (0.0236)−0.0362 (0.0236)−0.0362 (0.0236)−0.0362 (0.0236)−0.0362 (0.0236)−0.0362 (0.0236)0.0489* (0.0284)0.0386 (0.0290)0.0386 (0.0290)0.0386 (0.0290)0.0386 (0.0290)0.0386 (0.0290)0.0386 (0.0290)0.0924 (0.0759)0.141* (0.0854)0.141* (0.0854)0.141* (0.0854)0.141* (0.0854)0.141* (0.0854)0.141* (0.0854)
ROA0.0630 (0.0460)0.0689 (0.0457)0.0689 (0.0457)0.0689 (0.0457)0.0689 (0.0457)0.0689 (0.0457)0.0689 (0.0457)0.127** (0.0517)0.116** (0.0507)0.116** (0.0507)0.116** (0.0507)0.116** (0.0507)0.116** (0.0507)0.116** (0.0507)−0.205 (0.325)−0.223 (0.330)−0.223 (0.330)−0.223 (0.330)−0.223 (0.330)−0.223 (0.330)−0.223 (0.330)
MTB−1.502*** (0.211)−1.437*** (0.211)−1.437*** (0.211)−1.437*** (0.211)−1.437*** (0.211)−1.437*** (0.211)−1.437*** (0.211)−1.756*** (0.233)−1.470*** (0.230)−1.470*** (0.230)−1.470*** (0.230)−1.470*** (0.230)−1.470*** (0.230)−1.470*** (0.230)−0.793 (0.914)−1.153 (0.902)−1.153 (0.902)−1.153 (0.902)−1.153 (0.902)−1.153 (0.902)−1.153 (0.902)
Sqrt_Sub0.000364 (0.0997)0.0141 (0.0988)0.0141 (0.0988)0.0141 (0.0988)0.0141 (0.0988)0.0141 (0.0988)0.0141 (0.0988)−0.114 (0.104)−0.135 (0.101)−0.135 (0.101)−0.135 (0.101)−0.135 (0.101)−0.135 (0.101)−0.135 (0.101)2.115*** (0.641)3.143*** (0.695)3.143*** (0.695)3.143*** (0.695)3.143*** (0.695)3.143*** (0.695)3.143*** (0.695)
LIQ−0.0113** (0.00474)−0.0116** (0.00463)−0.0116** (0.00463)−0.0116** (0.00463)−0.0116** (0.00463)−0.0116** (0.00463)−0.0116** (0.00463)−0.0353*** (0.00547)−0.0374*** (0.00533)−0.0374*** (0.00533)−0.0374*** (0.00533)−0.0374*** (0.00533)−0.0374*** (0.00533)−0.0374*** (0.00533)−0.0590*** (0.0134)−0.0618*** (0.0133)−0.0618*** (0.0133)−0.0618*** (0.0133)−0.0618*** (0.0133)−0.0618*** (0.0133)−0.0618*** (0.0133)
Sqrt_Age−0.860*** (0.167)−0.779*** (0.163)−0.779*** (0.163)−0.779*** (0.163)−0.779*** (0.163)−0.779*** (0.163)−0.779*** (0.163)−0.474*** (0.174)−0.439** (0.171)−0.439** (0.171)−0.439** (0.171)−0.439** (0.171)−0.439** (0.171)−0.439** (0.171)−0.387 (0.714)−1.097 (0.850)−1.097 (0.850)−1.097 (0.850)−1.097 (0.850)−1.097 (0.850)−1.097 (0.850)
SHARES0.170*** (0.0159)0.137*** (0.0163)0.137*** (0.0163)0.137*** (0.0163)0.137*** (0.0163)0.137*** (0.0163)0.137*** (0.0163)0.164*** (0.0167)0.122*** (0.0172)0.122*** (0.0172)0.122*** (0.0172)0.122*** (0.0172)0.122*** (0.0172)0.122*** (0.0172)−0.0887 (0.0978)−0.130 (0.0952)−0.130 (0.0952)−0.130 (0.0952)−0.130 (0.0952)−0.130 (0.0952)−0.130 (0.0952)
Restatement1.335 (0.889)1.565* (0.877)1.565* (0.877)1.565* (0.877)1.565* (0.877)1.565* (0.877)1.565* (0.877)0.317 (0.975)0.639 (0.955)0.639 (0.955)0.639 (0.955)0.639 (0.955)0.639 (0.955)0.639 (0.955)0.629 (3.621)2.372 (3.573)2.372 (3.573)2.372 (3.573)2.372 (3.573)2.372 (3.573)2.372 (3.573)
Year FEYesYesYesYesYesYesYesYesYesYesYesYesYesYesYesYesYesYesYesYesYes
Industry FEYesYesYesYesYesYesYesYesYesYesYesYesYesYesYesYesYesYesYesYesYes
Constant174.2*** (4.908)156.5*** (5.234)159.9*** (5.138)165.3*** (4.953)163.2*** (5.086)166.7*** (4.928)173.8*** (5.004)171.3*** (5.381)148.8*** (5.786)153.3*** (5.682)159.0*** (5.464)156.4*** (5.591)160.1*** (5.453)168.6*** (5.453)177.5*** (18.70)221.9*** (26.45)224.0*** (25.61)207.7*** (23.61)220.2*** (25.25)209.1*** (24.62)209.9*** (22.62)
Observations4,1004,1004,1004,1004,1004,1004,1003,8903,8903,8903,8903,8903,8903,890810810810810810810810
R-squared0.2980.3260.3260.3260.3260.3260.3260.3740.4040.4040.4040.4040.4040.4040.4780.5100.5100.5100.5100.5100.510
Note(s):

***, **, * indicates significant at 1, 5, and 10% significance levels, respectively

Source(s): Authors’ own creation
Figure 5.
A graph displays the differences in audit report delays between French and Moroccan firms, using various labels on the x-axis, with negative values on the y-axis.The graph illustrates differences in audit report delays between French and Moroccan firms. The x axis is labelled with B 4 B 4 F R, B 4 S 1 F R, B 4 S 2 F R, S 1 S 1 F R, S 1 S 2 F R, and S 2 S 2 F R. The y axis ranges from 0 to negative 35. The bars extend below the zero baseline and show negative delay differences for all categories.

Differences in audit report delays between French and Moroccan firms across joint audit pairs

Source: Authors’ own creation

Figure 5.
A graph displays the differences in audit report delays between French and Moroccan firms, using various labels on the x-axis, with negative values on the y-axis.The graph illustrates differences in audit report delays between French and Moroccan firms. The x axis is labelled with B 4 B 4 F R, B 4 S 1 F R, B 4 S 2 F R, S 1 S 1 F R, S 1 S 2 F R, and S 2 S 2 F R. The y axis ranges from 0 to negative 35. The bars extend below the zero baseline and show negative delay differences for all categories.

Differences in audit report delays between French and Moroccan firms across joint audit pairs

Source: Authors’ own creation

Close modal
Figure 6.
A bar graph illustrates differences in audit report delays for France, Tunisia, and Morocco across various categories.The graph represents differences in audit report delays for France, Tunisia, and Morocco. The x axis includes category labels such as B 4 B 4 F R, B 4 S 1 F R, B 4 B 4 T U, and S 2 S 2 M O, among others. Each category includes multiple vertical bars corresponding to different country and firm-pair data sets. The y axis measures delay differences, ranging from minus 20 to 80. The bars vary in height above and below the baseline, allowing comparison across the categories.

Differences in audit report delays between Tunisian firms and French and Moroccan firms across joint audit pairs

Source: Authors’ own creation

Figure 6.
A bar graph illustrates differences in audit report delays for France, Tunisia, and Morocco across various categories.The graph represents differences in audit report delays for France, Tunisia, and Morocco. The x axis includes category labels such as B 4 B 4 F R, B 4 S 1 F R, B 4 B 4 T U, and S 2 S 2 M O, among others. Each category includes multiple vertical bars corresponding to different country and firm-pair data sets. The y axis measures delay differences, ranging from minus 20 to 80. The bars vary in height above and below the baseline, allowing comparison across the categories.

Differences in audit report delays between Tunisian firms and French and Moroccan firms across joint audit pairs

Source: Authors’ own creation

Close modal

Table 6 and Figure 5 show that audit reporting delays are significantly shorter in Moroccan companies than in French companies, both overall and across almost every pair of joint audits (statistically significant at the 1% level), contradicting H3. In partial agreement with H3, both Table 6 and Figure 6 indicate French firms have shorter delays than Tunisian firms at the 1% significance level, except for the Tunisian pair S1S1TU (two international auditors from outside the Big Four), which submits reports faster than all French pairs. Table 6 and Figure 6 further show that Tunisian firms generally experience longer delays than Moroccan ones, with the same S1S1TU exception, which is not significantly different from Moroccan pairs, thus confirming H4. Therefore, these findings also confirm the argument that international auditors can play a significant role in the reporting delays literature (Abernathy et al., 2017). Moreover, while these findings are unique in the audit delays literature, they are consistent with the institutional theory framework and highlight the role of institutional context in reporting delays. However, small sample sizes in Morocco and Tunisia warrant cautious interpretation, as they may limit generalizability.

Although firm size is controlled for in the main models, we further examine its effects by partitioning firms in each country into small, medium and large terciles based on total assets (Simunic, 1980) and re-estimating the models separately for each tercile. For brevity, the full regression tables are not presented; instead, the key results are summarized in Figures 712.

Figure 7.
Bar chart compares audit report delay differences across French firm sizes and joint audit pair categories.The bar chart presents audit report delay differences in French firms across small, medium, and large firms. The horizontal axis groups six joint audit pair categories, B 4 B 4 F R, B 4 S 1 F R, B 4 S 2 F R, S 1 S 1 F R, S 1 S 2 F R, and S 2 S 2 F R, within each firm-size group. The vertical axis ranges from negative 40 to 40. Bars extend above and below the baseline to show positive and negative delay differences. Small firms range from about negative 17 to positive 17, medium firms from about negative 20 to positive 20, and large firms from about negative 28 to positive 29. A data table below the chart lists the numerical values.

Differences in audit report delays in the French firms across joint audit pairs across firm sizes

Source: Authors’ own creation

Figure 7.
Bar chart compares audit report delay differences across French firm sizes and joint audit pair categories.The bar chart presents audit report delay differences in French firms across small, medium, and large firms. The horizontal axis groups six joint audit pair categories, B 4 B 4 F R, B 4 S 1 F R, B 4 S 2 F R, S 1 S 1 F R, S 1 S 2 F R, and S 2 S 2 F R, within each firm-size group. The vertical axis ranges from negative 40 to 40. Bars extend above and below the baseline to show positive and negative delay differences. Small firms range from about negative 17 to positive 17, medium firms from about negative 20 to positive 20, and large firms from about negative 28 to positive 29. A data table below the chart lists the numerical values.

Differences in audit report delays in the French firms across joint audit pairs across firm sizes

Source: Authors’ own creation

Close modal
Figure 8.
Bar chart compares audit report delay differences across Moroccan firm sizes and joint audit pair categories.The bar chart presents audit report delay differences in Moroccan firms across small, medium, and large firms. The horizontal axis groups six joint audit pair categories, B 4 B 4 M O, B 4 S 1 M O, B 4 S 2 M O, S 1 S 1 M O, S 1 S 2 M O, and S 2 S 2 M O, within each firm-size group. The vertical axis ranges from negative 40 to 40. Bars extend above and below the baseline to show positive and negative delay differences. Small firms range from about negative 23 to positive 23, medium firms from about negative 33 to positive 33, and large firms from about negative 20 to positive 20. A data table below the chart lists the numerical values.

Differences in audit report delays in the Moroccan firms across joint audit pairs across firm sizes

Source: Authors’ own creation

Figure 8.
Bar chart compares audit report delay differences across Moroccan firm sizes and joint audit pair categories.The bar chart presents audit report delay differences in Moroccan firms across small, medium, and large firms. The horizontal axis groups six joint audit pair categories, B 4 B 4 M O, B 4 S 1 M O, B 4 S 2 M O, S 1 S 1 M O, S 1 S 2 M O, and S 2 S 2 M O, within each firm-size group. The vertical axis ranges from negative 40 to 40. Bars extend above and below the baseline to show positive and negative delay differences. Small firms range from about negative 23 to positive 23, medium firms from about negative 33 to positive 33, and large firms from about negative 20 to positive 20. A data table below the chart lists the numerical values.

Differences in audit report delays in the Moroccan firms across joint audit pairs across firm sizes

Source: Authors’ own creation

Close modal
Figure 9.
Grouped bar chart compares audit report delay differences across firm sizes and six category pairings.The grouped bar chart presents audit report delay differences for small, medium, and large firms. Six category pairings appear in each firm-size group: B 4 B 4 T U, B 4 S 1 T U, B 4 S 2 T U, S 1 S 1 T U, S 1 S 2 T U, and S 2 S 2 T U. Values range from about negative 320 to positive 320. Small firms show relatively small differences, mostly between negative 61 and positive 61. Medium firms show larger variation, ranging from about negative 110 to positive 110. Large firms show the greatest variation, with positive values reaching about 319 and negative values reaching about negative 319. A table below the chart lists the corresponding numerical values for each firm size and category pairing.

Differences in audit report delays in the Tunisian firms across joint audit pairs across firm sizes

Source: Authors’ own creation

Figure 9.
Grouped bar chart compares audit report delay differences across firm sizes and six category pairings.The grouped bar chart presents audit report delay differences for small, medium, and large firms. Six category pairings appear in each firm-size group: B 4 B 4 T U, B 4 S 1 T U, B 4 S 2 T U, S 1 S 1 T U, S 1 S 2 T U, and S 2 S 2 T U. Values range from about negative 320 to positive 320. Small firms show relatively small differences, mostly between negative 61 and positive 61. Medium firms show larger variation, ranging from about negative 110 to positive 110. Large firms show the greatest variation, with positive values reaching about 319 and negative values reaching about negative 319. A table below the chart lists the corresponding numerical values for each firm size and category pairing.

Differences in audit report delays in the Tunisian firms across joint audit pairs across firm sizes

Source: Authors’ own creation

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Figure 10.
Bar chart compares audit report delay differences between French and Moroccan firms across firm sizes.The bar chart presents audit report delay differences between French and Moroccan firms, grouped by small, medium, and large firms. The vertical axis ranges from about negative 40 to 80 in unspecified units. The horizontal axis lists abbreviated firm-pair categories. Multiple data series compare categories including B 4 B 4 F R, B 4 S 1 F R, S 2 S 2 F R, and related Moroccan firm categories. A data table below the chart lists the numerical values for each category and firm size.

Differences in audit report delays between French and Moroccan firms across joint audit pairs across firm sizes

Source: Authors’ own creation

Figure 10.
Bar chart compares audit report delay differences between French and Moroccan firms across firm sizes.The bar chart presents audit report delay differences between French and Moroccan firms, grouped by small, medium, and large firms. The vertical axis ranges from about negative 40 to 80 in unspecified units. The horizontal axis lists abbreviated firm-pair categories. Multiple data series compare categories including B 4 B 4 F R, B 4 S 1 F R, S 2 S 2 F R, and related Moroccan firm categories. A data table below the chart lists the numerical values for each category and firm size.

Differences in audit report delays between French and Moroccan firms across joint audit pairs across firm sizes

Source: Authors’ own creation

Close modal
Figure 11.
Bar chart compares audit report delay differences between French and Tunisian firms across firm sizes.The bar chart presents audit report delay differences between French and Tunisian firms for small, medium, and large firms. The vertical axis ranges from negative 200 to 200. The horizontal axis groups five comparison categories, B 4 B 4 T U, B 4 S 1 T U, B 4 S 2 T U, S 1 S 2 T U, and S 2 S 2 T U, within each firm-size group. Six data series, B 4 B 4 F R, B 4 S 1 F R, B 4 S 2 F R, S 1 S 1 F R, S 1 S 2 F R, and S 2 S 2 F R, are represented by separate bars. Small and medium firms contain values both above and below zero, generally between about negative 70 and positive 70. Large firms show the widest variation, including values near negative 140 and positive 143. A data table below the chart lists the numerical values for each category and firm-size group.

Differences in audit report delays between French and Tunisian firms across joint audit pairs across firm sizes

Source: Authors’ own creation

Figure 11.
Bar chart compares audit report delay differences between French and Tunisian firms across firm sizes.The bar chart presents audit report delay differences between French and Tunisian firms for small, medium, and large firms. The vertical axis ranges from negative 200 to 200. The horizontal axis groups five comparison categories, B 4 B 4 T U, B 4 S 1 T U, B 4 S 2 T U, S 1 S 2 T U, and S 2 S 2 T U, within each firm-size group. Six data series, B 4 B 4 F R, B 4 S 1 F R, B 4 S 2 F R, S 1 S 1 F R, S 1 S 2 F R, and S 2 S 2 F R, are represented by separate bars. Small and medium firms contain values both above and below zero, generally between about negative 70 and positive 70. Large firms show the widest variation, including values near negative 140 and positive 143. A data table below the chart lists the numerical values for each category and firm-size group.

Differences in audit report delays between French and Tunisian firms across joint audit pairs across firm sizes

Source: Authors’ own creation

Close modal
Figure 12.
Bar chart compares audit report delay differences between Moroccan and Tunisian firms across firm sizes.The bar chart presents audit report delay differences between Moroccan and Tunisian firms for small, medium, and large firms. The vertical axis ranges from negative 150 to 150. The horizontal axis groups five comparison categories, B 4 B 4 T U, B 4 S 1 T U, B 4 S 2 T U, S 1 S 2 T U, and S 2 S 2 T U, within each firm-size group. Six data series, B 4 B 4 M O, B 4 S 1 M O, B 4 S 2 M O, S 1 S 1 M O, S 1 S 2 M O, and S 2 S 2 M O, are represented by separate bars. Small firms contain values ranging from about negative 88 to positive 91. Medium firms range from about negative 74 to positive 91. Large firms range from about negative 99 to positive 74. Most B 4 B 4 T U comparisons include both the largest positive and negative values within each firm-size group. A data table below the chart lists the numerical values for each category and firm-size group.

Differences in audit report delays between Moroccan and Tunisian firms across joint audit pairs across firm sizes

Source: Authors’ own creation

Figure 12.
Bar chart compares audit report delay differences between Moroccan and Tunisian firms across firm sizes.The bar chart presents audit report delay differences between Moroccan and Tunisian firms for small, medium, and large firms. The vertical axis ranges from negative 150 to 150. The horizontal axis groups five comparison categories, B 4 B 4 T U, B 4 S 1 T U, B 4 S 2 T U, S 1 S 2 T U, and S 2 S 2 T U, within each firm-size group. Six data series, B 4 B 4 M O, B 4 S 1 M O, B 4 S 2 M O, S 1 S 1 M O, S 1 S 2 M O, and S 2 S 2 M O, are represented by separate bars. Small firms contain values ranging from about negative 88 to positive 91. Medium firms range from about negative 74 to positive 91. Large firms range from about negative 99 to positive 74. Most B 4 B 4 T U comparisons include both the largest positive and negative values within each firm-size group. A data table below the chart lists the numerical values for each category and firm-size group.

Differences in audit report delays between Moroccan and Tunisian firms across joint audit pairs across firm sizes

Source: Authors’ own creation

Close modal

Audit services for large companies can be time-consuming due to the complexity of their financial reports (Hamdallah et al., 2021). However, Figures 7–9 indicate that most joint audit pairs exhibit comparable delays in audit reporting between large firms in France, Morocco and Tunisia. These findings are consistent with institutional theory, which suggests that large firms are generally more compliant with regulatory requirements and professional standards, likely due to coercive pressures and the diversity of stakeholder expectations (DiMaggio and Powell, 1983). Furthermore, strong internal controls in large firms may reduce year-end audit work (Ashton et al., 1989), leading these firms to demand timely audit reports. These factors, taken together, may explain why delays in joint audit reports are minimal among most joint audit pairs in large firms. However, while the B4B4MO/TU pair’s role in reducing audit report delays is generally weak compared to other pairs in both Morocco and Tunisia in the main analysis, this pair plays a key role in reducing audit report delays compared to other pairs in large Moroccan and Tunisian firms, and this advantage persisted in reducing audit report delays in the French context. These findings thus highlight the role of the Big Four audit firms in large companies in completing audits on time to maintain their reputation and standing (Afify, 2009). Nevertheless, given the small sample sizes in Morocco and Tunisia, we interpret these results with caution, as they may limit their generalizability.

Furthermore, as illustrated in Figures 10–12, the audit report delay comparisons between different joint audit pairs across French, Tunisian and Moroccan firms did not differ significantly from the results presented in Section 4.2.2, which may support and confirm these findings. However, the results show that the Tunisian pair comprising two non-Big Four international auditors (S1S1TU) exist only among large firms. This result may likely explain why S1S1TU is the most effective pair in reducing delays, both among Tunisian firms (Table 5) and between Tunisian firms and French or Moroccan firms (Table 6). Nevertheless, given the small sample sizes in Morocco and Tunisia, we interpret these results with caution, as they may limit their generalizability.

This analysis tests whether having at least one industry specialist among six joint audit pairs reduces audit delay in France, Morocco and Tunisia by comparing cases with and without industry expertise.

5.2.1 Model design.

Industry specialization is not directly observable, so prior research relies on proxies such as market share, portfolio share or weighted share (Audousset-Coulier et al., 2016). The market-share approach is the most common, as frequent service of a sector is assumed to build expertise (Yeboah et al., 2023). While Palmrose (1986) designated specialists as the top three providers in a sector, Audousset-Coulier et al. (2016) review five common market-size proxies (audit fees, total assets, sales, number of clients and the square root of assets or sales). Given the limited fee disclosure in the present sample, total client assets are used here. Following Audousset-Coulier et al. (2016), the auditor with the largest asset-based market share in each two-digit industry is classified as the industry specialist:

(4)

where: MS is the market share of auditor i in industry k, i = 1, 2,… indexes audit firms, j = 1,2,… indexes client firms and k = 1,2,… indexes industries. Aijk represents the total assets of client j in industry k audited by auditor i. The auditor with the largest market share (by client assets) in each two-digit industry is designated the industry specialist. To examine the effect of industry specialization on audit report delay in a joint-audit setting, the following model is estimated:

(5)

The dependent and control variables in this model are identical to those used in the main models. The variables B4B4_SPECi,t, B4S1_SPECi,t, B4S2_SPECi,t, S1S1_SPECi,t, S1S2_SPECi,t and S2S2_SPECi,t test audit report delay when at least one auditor in the respective joint-audit pair is an industry specialist (coded 1) versus when neither auditor is a specialist (coded 0).

As shown in Table 7, the model is estimated six times independently for each country (France, Morocco and Tunisia), each time using a different one of these six variables as the test variable. We summarized the statistical significance of these delay differences in Figure 13 within each country.

Table 7.

Regression results for the effect of auditor industry specialization on audit report delays in the French, Moroccan and Tunisian companies

VariablesFrenchMoroccanTunisian
123456123456123456
B4_B4_SPEC−2.184 (4.630)−20.18 (38.94)
B4_S1_SPEC7.776*** (2.428)6.136 (6.090)26.50* (15.05)
B4_S2_SPEC−0.625 (4.839)−77.51*** (14.23)9.721 (6.978)
S1_S1_SPEC19.18*** (6.347)54.81 (46.94)
S1_S2_SPEC4.341 (3.895)10.53 (9.227)53,953 (0)
S2_S2_SPEC−30.18 (63.79)−22.10 (24.19)
LNTA−2.026*** (0.690)−4.538*** (0.585)−5.165*** (0.625)−4.141** (1.630)−2.909** (1.346)1.111 (1.776)−7.247 (16.42)−13.30*** (2.351)−4.847 (3.172)0.656 (7.934)5.130 (3.109)9.301 (6.331)64.23 (0)−90.68** (42.13)−28.38*** (10.68)32.28 (0)1,912 (0)−1.019 (14.40)
BUSY−9.562*** (2.228)3.880** (1.755)−2.883* (1.653)−10.62* (5.518)−8.605*** (3.077)9.592*** (2.339)−66.28 (217.1)
IFRS−17.43** (6.942)−13.23*** (2.954)−2.141 (1.814)5.954 (4.748)−14.58*** (3.549)1.700 (3.453)−71.12 (84.35)−3.719 (15.26)8.062 (6.348)−143.2 (154.4)−26.60*** (8.351)−39.05 (134.4)−59.85 (281.5)−42.53*** (10.24)−46,143 (0)109.9*** (33.89)
OPINION4.154 (7.959)4.259 (3.383)−4.514 (6.125)2.606 (10.51)−14.10 (11.41)15.02 (9.245)8.819 (6.984)−16.41*** (5.293)13.34* (7.509)19.66** (8.210)−17.08 (117.0)2.508 (24.00)
CHANGE6.486* (3.353)2.588 (2.761)−2.186 (2.773)0.912 (4.565)1.954 (3.438)0.488 (4.237)10.07 (11.10)−0.964 (4.770)−9.338 (9.059)4.539 (6.074)−9.439 (7.325)6.265 (11.42)46.99 (0)−19.39 (21.51)8.434 (8.619)18.01 (0)271.6 (0)−3.056 (10.44)
LOSS−2.998 (2.763)−1.598 (1.886)3.929** (1.977)17.38*** (3.685)2.846 (3.613)1.858 (4.105)10.10 (9.135)5.040 (7.012)−9.953* (5.952)−17.09 (24.27)0.204 (6.601)7.665 (8.311)122.3 (0)36.58*** (12.04)−22.28* (13.18)−938.6 (0)23.29* (13.34)
LEV0.112* (0.0635)−0.110*** (0.0384)0.00202 (0.0446)−0.360*** (0.0942)0.115 (0.0786)−0.251*** (0.0721)−0.205 (0.435)0.377*** (0.118)0.939*** (0.206)0.425 (0.290)−0.302 (0.316)0.182 (0.236)−4.553 (0)3.382 (2.482)0.913*** (0.321)−12.87 (0)177.5 (0)0.152 (0.395)
ROA−0.583*** (0.198)−0.00800 (0.0807)0.335*** (0.0723)0.479** (0.218)−0.110 (0.171)−0.0341 (0.174)1.158 (1.376)0.218 (0.553)−0.944** (0.397)−1.290 (1.409)−1.222 (0.755)0.820 (0.516)−0.317 (0)1.003 (1.055)−1.675* (0.880)−0.984 (0)−64.00 (0)0.482 (0.795)
MTB−2.745*** (0.595)−2.161*** (0.417)0.671* (0.378)−0.608 (1.088)−1.497* (0.880)−0.492 (0.879)−2.403 (3.794)1.100 (2.065)0.867 (1.103)−2.925 (1.741)−7.343** (3.632)−3.589* (1.960)−18.41 (0)8.546 (6.496)7.090* (3.657)21.02 (0)−689.2 (0)0.942 (5.555)
Sqrt_Sub−0.496*** (0.130)−0.0615 (0.191)1.192*** (0.193)0.568 (0.442)−0.174 (0.622)−1.648*** (0.629)−165.5 (139.5)9.215** (4.293)5.252*** (1.239)30.24 (27.20)−7.487*** (1.644)−1.149 (56.56)295.5 (0)−188.3 (335.5)−0.530 (3.400)−26,906 (0)28.91*** (6.150)
LIQ−0.0457*** (0.0131)−0.00165 (0.00833)−0.0307*** (0.00856)−0.0139 (0.0164)−0.0119 (0.0193)0.00219 (0.0150)−0.156 (0.123)0.0349 (0.0299)0.0125 (0.0291)0.150*** (0.0494)−0.141*** (0.0391)−0.0178 (0.0226)−0.961 (0)−0.107 (0.170)−0.271*** (0.0605)−0.265 (0)5.974 (0)−0.115* (0.0582)
Sqrt_Age−1.664*** (0.393)0.632* (0.322)−0.406 (0.294)−3.216*** (0.989)0.595 (0.529)−1.866*** (0.549)−67.68 (67.70)−7.530** (2.985)11.16** (4.686)7.406 (5.889)−4.857** (2.274)−2.845 (37.99)−123.5 (0)−82.58 (327.8)7.451*** (2.022)0.666 (0)4,017 (0)−2.454 (13.68)
SHARES0.240*** (0.0305)0.0849*** (0.0298)−0.0404 (0.0381)−0.151*** (0.0570)0.167** (0.0727)0.195** (0.0757)0.190 (0.751)−0.132 (0.178)−0.411*** (0.108)−0.539 (0.442)0.484*** (0.146)−0.00613 (0.0680)1.884 (0)0.692 (1.243)−0.200 (0.214)3.535 (0)−12.32 (0)−0.00799 (0.422)
Restatement−0.0684 (1.872)−0.131 (1.523)4.262*** (1.563)−0.414 (3.828)1.043 (2.916)0.500 (3.229)10.60 (6.862)−9.494* (5.150)5.510 (4.085)−0.598 (7.360)3.190 (5.230)−7.912 (6.046)373.8 (0)−15.24 (11.88)7.947 (6.392)67.97 (0)−7.665 (10.23)
Year FEYesYesYesYesYesYesYesYesYesYesYesYesYesYesYesYesYesYes
Industry FEYesYesYesYesYesYesYesYesYesYesYesYesYesYesYesYesYesYes
Constant168.0*** (14.31)161.2*** (7.967)168.6*** (10.31)187.4*** (21.77)177.3*** (19.50)95.91*** (25.34)881.1 (690.6)305.6*** (49.20)96.83* (58.12)20.66 (141.7)60.21 (38.03)78.84 (453.1)−165.8 (0)1,452 (1,893)438.6*** (140.3)−263.1 (0)−11,141 (0)144.5* (80.49)
Observations7151,092879214397293518710757112962151105102489
R-squared0.4360.3570.1860.4790.3570.3300.8270.7860.8170.7460.7040.9251.0000.7190.7991.0001.0000.839
Note(s):

***, **, * indicates significant at 1, 5, and 10% significance levels, respectively

Source(s): Authors’ own creation
Figure 13.
Bar chart compares audit report delays by auditor industry specialisation across France, Morocco, and Tunisia.The bar chart presents the effect of auditor industry specialisation on audit report delays across France, Morocco, and Tunisia. The horizontal axis lists six categories, B 4 B 4 S P E C, B 4 S 1 S P E C, B 4 S 2 S P E C, S 1 S 1 S P E C, S 1 S 2 S P E C, and S 2 S 2 S P E C. The vertical axis shows audit report delays with negative and positive values in 20 unit intervals. Each category contains three bars for France, Morocco, and Tunisia. The bar heights vary across countries and specialisation categories.

Effect of auditor industry specialization on audit report delays in the French, Moroccan and Tunisian companies across joint audit pairs

Source: Authors’ own creation

Figure 13.
Bar chart compares audit report delays by auditor industry specialisation across France, Morocco, and Tunisia.The bar chart presents the effect of auditor industry specialisation on audit report delays across France, Morocco, and Tunisia. The horizontal axis lists six categories, B 4 B 4 S P E C, B 4 S 1 S P E C, B 4 S 2 S P E C, S 1 S 1 S P E C, S 1 S 2 S P E C, and S 2 S 2 S P E C. The vertical axis shows audit report delays with negative and positive values in 20 unit intervals. Each category contains three bars for France, Morocco, and Tunisia. The bar heights vary across countries and specialisation categories.

Effect of auditor industry specialization on audit report delays in the French, Moroccan and Tunisian companies across joint audit pairs

Source: Authors’ own creation

Close modal

5.2.2 Regression results.

Table 7 and Figure 13 show that industry specialization generally does not affect audit report delays in the French, Moroccan or Tunisian samples. For most joint-audit pairs, the presence or absence of a specialized auditor yields no significant difference in delay. This finding is consistent with prior research (e.g. Abdillah et al., 2019; Bhuiyan and D’Costa, 2020). One possible explanation, in line with communication theory, is that collaboration between the two audit firms may facilitate information exchange and error detection, regardless of auditor industry specialization. However, a few country-specific exceptions are noteworthy. In France, the absence of a specialist in the B4S1 and S1S1 pairs is associated with significantly shorter delays (coefficients of 7.776 and 19.18, both significant at the 1% level). In Morocco, the presence of a specialist in the B4S2 pair is linked to substantially shorter delays (coefficient −77.51, significant at the 1% level). No meaningful effects are observed in Tunisia. These contrasting patterns indicate that the impact of auditor industry specialization on audit report delays in mandatory joint audits varies across national contexts. Given the small subsamples for Morocco and Tunisia and the known sensitivity of specialization measures (Audousset-Coulier et al., 2016), these results should be interpreted with caution.

Several additional tests were conducted to verify the robustness of the main findings. First, multicollinearity was assessed using variance inflation factors (VIFs). All VIF values were well below the conventional threshold of 10, indicating no serious multicollinearity concerns. Second, the main regressions were reestimated after (i) taking the natural logarithm of audit report delay and (ii) winsorizing or excluding extreme outliers in delay duration. The untabulated results were materially unchanged in terms of coefficient magnitude, sign and statistical significance.

Third, to address potential endogeneity arising from nonrandom auditor selection, Heckman’s (1979) two-stage procedure was applied. In the first stage, a probit model was estimated separately for each country to predict the likelihood of having zero, one or two Big Four auditors, using firm size, leverage, loss incidence, closely held shares, ROA and number of subsidiaries as instruments. The resulting inverse Mills ratios (IMR1 and IMR2) were then included in the second-stage audit-delay regressions. The untabulated Heckman-corrected results were virtually identical to the main findings, confirming that self-selection bias does not drive the reported associations. Overall, these robustness checks reinforce the reliability of the study’s conclusions. (Tables available on request.)

This study examines audit report delays under mandatory joint-audit regimes using data on 440 nonfinancial firms (359 French, 51 Moroccan, 30 Tunisian) from 2014 to 2023. Results reveal distinct country patterns: in France, B4B4 pairs produce the shortest delays, followed by B4S1; in Morocco, two local auditors (S2S2) are fastest, followed by S1S2; in Tunisia, two non-Big Four international auditors (S1S1) perform best. French firms generally report faster than Tunisian firms across almost all pairings, except for the Tunisian S1S1 pair, which outperforms every French combination. Moroccan firms consistently show shorter delays than French and Tunisian firms (again, excepting S1S1TU). Additional tests reveal that differences across joint-audit pairs largely disappear among large firms in all three countries, and auditor industry specialization has no material effect on most of the joint audit pairs’ delay.

This study contributes to the literature on audit report delays, both in general and in joint audits, by clarifying the role of joint audits in reducing them. It considers their impact not only in advanced economies but also in developing economies. In such economies, audited financial reports are a primary source of information for various stakeholders (Al-Ajmi, 2008). Delays in issuing audit reports are significant because media outlets and press conferences are not yet sufficiently developed (Khasharmeh and Aljifri, 2010). This study also contributes by examining how audit report delays vary by joint audit pair composition across developed and developing contexts. It classifies these pairs into broader categories than previous studies. This classification enables examination of different types and sizes of joint audit pairs, and shows that delays vary with pair composition and across institutional contexts. The study emphasizes the significant role of institutional context in audit report delays and shows that the effectiveness of large audit firms in reducing delays varies across contexts. Furthermore, this study offers a deeper analysis of firm size, showing that large firms have an advantage over small and medium-sized enterprises in reducing audit report delays across most pair types and contexts. Finally, the study assesses the role of industry specialization in reducing delays in joint audits and finds that it rarely affects delays, suggesting it may not be central to joint audits.

The findings of this study offer practical implications and recommendations for researchers, regulators, audit firms, companies and policymakers regarding delays in mandatory joint audit reporting, especially in weaker corporate environments. The results provide valuable insight and point to new directions for future research on joint audits. These findings also suggest that regulators should select joint audit pairs based on demonstrated effectiveness, not reputation and should not assume Big-N firms’ involvement always reduces delays. It also recommends strengthening auditor independence through legislation to improve efficiency and attract international investment to MENA economies. Countries with mandatory joint audits should establish clear guidelines for coordination to address collaboration challenges and maximize benefits. These findings also enable audit firms to assess and improve joint audit collaboration, considering industry specialization to gain a competitive edge and achieve better results. Moreover, audited firms can enhance audit strategies by meeting reporting deadlines. For instance, French companies may experience reduced delays when audit teams consist of two Big Four firms (B4B4FR). Tunisian companies may achieve better on-time compliance with international audit teams outside the Big Four (S1S1TU). Moroccan companies are likely to minimize audit report delays when teams include at least one local firm, especially when two local firms are involved (S2S2MO).

Furthermore, our findings confirm the general benefits of joint audits in timely financial report publication. This evidence can guide global decisions about adopting, enhancing or removing joint audit mandates, including boosting auditor independence and attracting investment. The lack of standardized joint audit guidelines suggests that standard-setters should update audit standards. Minimal differences in audit report delays across large companies suggest that policymakers can recommend joint audits for large companies. Our study also indicates a lack of direct disclosure of audit fees in published Tunisian financial reports, which limited our ability to include audit fees as a control variable. Therefore, we recommend that regulators and policymakers increase the disclosure of audit fees in Tunisian companies. This would allow researchers to examine variations in audit fees across the three countries studied and their impact on audit reporting delays.

Like all research, this study has limitations that identify directions for further investigation. The sample covers only 2014–2023, focuses solely on audit report delays, and is constrained by small subsamples in Morocco and Tunisia. Future research could extend the analysis and replicate the study in other mandatory joint-audit jurisdictions (e.g. Taiwan) or compare mandatory versus voluntary joint audits. Moreover, this study focused only on the nonfinancial sector; future research can replicate it by extending it to the financial sector, especially the banking sector.

Abdelmoula
,
L.
(
2023
), “
Assessment of the quality of joint audit missions in Tunisia
”,
EuroMed Journal of Business
, Vol.
18
No.
1
, pp.
68
-
84
, doi: .
Abdelmoula
,
L.
and
Afess
,
H.
(
2019
), “
Determining factors of the quality of joint audit: tunisian context
”,
Journal of Accounting and Management Information Systems
, Vol.
18
No.
4
, doi: .
Abdillah
,
M.R.
,
Mardijuwono
,
A.W.
and
Habiburrochman
,
H.
(
2019
), “
The effects of company and auditor characteristics on audit report lag
”,
Asian Journal of Accounting Research
, Vol.
4
No.
1
, pp.
129
-
144
, doi: .
Abernathy
,
J.L.
,
Barnes
,
M.
,
Stefaniak
,
C.
and
Weisbarth
,
A.
(
2017
), “
An international perspective on audit report lag: a synthesis of the literature and opportunities for future research
”,
International Journal of Auditing
, Vol.
21
No.
1
, pp.
100
-
127
, doi: .
Abouelela
,
O.
,
Diab
,
A.
and
Saleh
,
S.
(
2025
), “
The determinants of the relationship between auditor tenure and audit report lag: Evidence from an emerging market
”,
Cogent Business and Management
, Vol.
12
No.
1
, p.
2444553
, doi: .
Afify
,
H.A.E.
(
2009
), “
Determinants of audit report lag: does implementing corporate governance have any impact? Empirical evidence from Egypt
”,
Journal of Applied Accounting Research
, Vol.
10
No.
1
, pp.
56
-
86
, doi: .
Al-Ajmi
,
J.
(
2008
), “
Audit and reporting delays: evidence from an emerging market
”,
Advances in Accounting
, Vol.
24
No.
2
, pp.
217
-
226
, doi: .
Alfraih
,
M.M.
(
2016
), “
Corporate governance mechanisms and audit delay in a joint audit regulation
”,
Journal of Financial Regulation and Compliance
, Vol.
24
No.
3
, pp.
292
-
316
, doi: .
Al-Hiyari
,
A.
,
Kolsi
,
M.C.
and
Muqattash
,
R.
(
2022
), “
Big N auditors and the quality of earnings: evidence from Middle Eastern and North African countries
”,
Journal of General Management
, Vol.
47
No.
4
, pp.
195
-
212
, doi: .
Almarzouq
,
M.N.
,
Alazemi
,
S.
,
Alrefai
,
A.
and
Alawadhi
,
A.
(
2025
), “
Timeliness in financial reporting in emerging markets: Investigating the effect of joint audits
”,
Asian Journal of Accounting Research
, Vol.
10
No.
2
, pp.
186
-
199
, doi: .
Alves
,
S.
and
Carmo
,
C.
(
2022
), “
Audit committee, external audit and accounting conservatism: does company’s growth matter?
”,
Journal of Governance and Regulation
, Vol.
11
No.
3
, pp.
17
-
27
, doi: .
André
,
P.
,
Broye
,
G.
,
Pong
,
C.
and
Schatt
,
A.
(
2016
), “
Are joint audits associated with higher audit fees?
”,
European Accounting Review
, Vol.
25
No.
2
, pp.
245
-
274
, doi: .
Ashton
,
R.H.
,
Graul
,
P.R.
and
Newton
,
J.D.
(
1989
), “
Audit delay and the timeliness of corporate reporting
”,
Contemporary Accounting Research
, Vol.
5
No.
2
, pp.
657
-
673
, doi: .
Audousset-Coulier
,
S.
,
Jeny
,
A.
and
Jiang
,
L.
(
2016
), “
The validity of auditor industry specialization measures
”,
AUDITING: A Journal of Practice and Theory
, Vol.
35
No.
1
, pp.
139
-
161
, doi: .
Ayyash
,
M.A.
(
2025
), “
The impact of using the joint audit method in enhancing the quality of the external audit report
”,
Account and Financial Management Journal
, Vol.
10
No.
1
, doi: .
Bahrawe
,
S.
(
2024
), “
The impact of audit quality on timeliness of financial reporting: Evidence from GCC market
”,
Journal of Islamic Accounting and Business Research
, doi: .
Bamber
,
E.M.
,
Bamber
,
L.S.
and
Schoderbek
,
M.P.
(
1993
), “
Audit structure and other determinants of audit report lag: an empirical analysis
”,
AUDITING: A Journal of Practice and Theory
, Vol.
12
No.
1
,
available at:
Link to Audit structure and other determinants of audit report lag: an empirical analysisLink to the cited article
Bhuiyan
,
B.U.
and
D’Costa
,
M.
(
2020
), “
Audit committee ownership and audit report lag: Evidence from Australia
”,
International Journal of Accounting and Information Management
, Vol.
28
No.
1
, pp.
96
-
125
, doi: .
Boone
,
J.P.
,
Khurana
,
I.K.
and
Raman
,
K.K.
(
2010
), “
Do the big 4 and the second-tier firms provide audits of similar quality?
”,
Journal of Accounting and Public Policy
, Vol.
29
No.
4
, pp.
330
-
352
, doi: .
Carslaw
,
C.A.P.N.
and
Kaplan
,
S.E.
(
1991
), “
An examination of audit delay: further evidence from New Zealand
”,
Accounting and Business Research
, Vol.
22
No.
85
, pp.
21
-
32
, doi: .
Cassell
,
C.A.
,
Giroux
,
G.
,
Myers
,
L.A.
and
Omer
,
T.C.
(
2013
), “
The emergence of second‐tier auditors in the US: evidence from investor perceptions of financial reporting credibility
”,
Journal of Business Finance and Accounting
, Vol.
40
Nos
3-4
, pp.
350
-
372
, doi: .
Chan
,
P.
,
Ezzamel
,
M.
and
Gwilliam
,
D.
(
1993
), “
Determinants of audit fees for quoted UK companies
”,
Journal of Business Finance and Accounting
, Vol.
20
No.
6
, pp.
765
-
786
, doi: .
Chow
,
C.W.
(
1982
), “
The demand for external auditing: size, debt and ownership influences
”,
The Accounting Review
, Vol.
57
No.
2
, pp.
272
-
291
,
available at:
Link to The demand for external auditing: size, debt and ownership influencesLink to the cited article
DiMaggio
,
P.J.
and
Powell
,
W.W.
(
1983
), “
The iron cage revisited: Institutional isomorphism and collective rationality in organizational fields
”,
American Sociological Review
, Vol.
48
No.
2
, p.
147
, doi: .
DeAngelo
,
L.E.
(
1981
), “
Auditor size and audit quality
”,
Journal of Accounting and Economics
, Vol.
3
No.
3
, pp.
183
-
199
, doi: .
DeFond
,
M.
and
Zhang
,
J.
(
2014
), “
A review of archival auditing research
”,
Journal of Accounting and Economics
, Vol.
58
Nos
2-3
, pp.
275
-
326
, doi: .
Deng
,
M.
,
Lu
,
T.
,
Simunic
,
D.A.
and
Ye
,
M.
(
2014
), “
Do joint audits improve or impair audit quality?
”,
Journal of Accounting Research
, Vol.
52
No.
5
, pp.
1029
-
1060
, doi: .
Dong
,
B.
,
Robinson
,
D.
and
Xu
,
L.
(
2018
), “
Auditor-client geographic proximity and audit report timeliness
”,
Advances in Accounting
, Vol.
40
, pp.
11
-
19
, doi: .
Durand
,
G.
(
2019
), “
The determinants of audit report lag: a meta-analysis
”,
Managerial Auditing Journal
, Vol.
34
No.
1
, pp.
44
-
75
, doi: .
Elmashtawy
,
A.
,
Che Haat
,
M.H.
,
Ismail
,
S.
and
Almaqtari
,
F.A.
(
2024
), “
The moderating effect of the interaction between joint audit and accounting conservatism on the association between corporate governance and corporate performance
”,
Cogent Business and Management
, Vol.
11
No.
1
, doi: .
EU
(
2004
), “
Directive 2004/109/EC on the harmonisation of transparency requirements in relation to information about issuers whose securities are admitted to trading on a regulated market and amending directive
”,
Official Journal of the European Union, L
, Vol.
390
/ No.
38
,
available at:
Link to Directive 2004/109/EC on the harmonisation of transparency requirements in relation to information about issuers whose securities are admitted to trading on a regulated market and amending directivehttps://eur-lex.europa.eu/eli/dir/2004/109/oj/engLink to the cited article
Fakhfakh Sakka
,
I.
and
Jarboui
,
A.
(
2016
), “
Audit reports timeliness: empirical evidence from Tunisia
”,
Cogent Business and Management
, Vol.
3
No.
1
, p.
1195680
, doi: .
Ghafran
,
C.
and
Yasmin
,
S.
(
2018
), “
Audit committee chair and financial reporting timeliness: a focus on financial, experiential and monitoring expertise
”,
International Journal of Auditing
, Vol.
22
No.
1
, pp.
13
-
24
, doi: .
Haak
,
M.
,
Muraz
,
M.
and
Zieseniß
,
R.
(
2018
), “
Joint audits: does the allocation of audit work affect audit quality and audit fees?
”,
Accounting in Europe
, Vol.
15
No.
1
, pp.
55
-
80
, doi: .
Habib
,
A.
,
Bhuiyan
,
B.U.
,
Huang
,
H.J.
and
Miah
,
M.S.
(
2019
), “
Determinants of audit report lag: a meta‐analysis
”,
International Journal of Auditing
, Vol.
23
No.
1
, pp.
20
-
44
, doi: .
Hamdallah
,
M.E.
,
Srouji
,
A.F.
and
Abed
,
S.R.
(
2021
), “
The nexus between reducing audit report lags and divining integrated financial report governance disclosures: should ASE directives be more conspicuous?
”,
Afro-Asian J. of Finance and Accounting
, Vol.
11
No.
1
, p.
81
, doi: .
Hassan
,
M.I.A.
,
Borbély
,
K.
and
Tóth
,
Á.
(
2024
), “
The development of the European Union auditing research over the past decade: a systematic literature review and future research opportunities
”,
Journal of Financial Reporting and Accounting
, doi: .
Heckman
,
J.J.
(
1979
), “
Sample selection bias as a specification error
”,
Econometrica
, Vol.
47
No.
1
, p.
153
, doi: .
Hogan
,
C.E.
and
Martin
,
R.D.
(
2009
), “
Risk shifts in the market for audits: an examination of changes in risk for “second tier” audit firms
”,
AUDITING: A Journal of Practice and Theory
, Vol.
28
No.
2
, pp.
93
-
118
, doi: .
Ismail
,
R.
,
Mohd-Saleh
,
N.
and
Yaakob
,
R.
(
2022
), “
Audit committee effectiveness, internal audit function and financial reporting lag: evidence from Malaysia
”,
Asian Academy of Management Journal of Accounting and Finance
, Vol.
18
No.
2
, pp.
169
-
193
, doi: .
Jensen
,
M.C.
and
Meckling
,
W.H.
(
1976
), “
Theory of the firm: managerial behavior, agency costs and ownership structure
”,
Journal of Financial Economics
, Vol.
3
No.
4
, pp.
305
-
360
, doi: .
Khasharmeh
,
H.A.
and
Aljifri
,
K.
(
2010
), “
The timeliness of annual reports in Bahrain and the United Arab Emirates: an empirical comparative study
”,
The International Journal of Business and Finance Research
, Vol.
4
No.
1
, pp.
51
-
71
.
Khlif
,
H.
,
Ahmed
,
K.
and
Alam
,
M.
(
2020
), “
Accounting regulations and IFRS adoption in francophone north african countries: the experience of Algeria, Morocco, and Tunisia
”,
The International Journal of Accounting
, Vol.
55
No.
1
, p.
2050004
, doi: .
Khoo
,
E.S.
,
Lim
,
Y.
and
Monroe
,
G.S.
(
2020
), “
Corporate reputation and the timeliness of external audit and earnings announcement
”,
International Journal of Auditing
, Vol.
24
No.
3
, pp.
366
-
395
, doi: .
Khoufi
,
N.
and
Khoufi
,
W.
(
2018
), “
An empirical examination of the determinants of audit report delay in France
”,
Managerial Auditing Journal
, Vol.
33
Nos
8-9
, pp.
700
-
714
, doi: .
Knechel
,
W.R.
and
Payne
,
J.L.
(
2001
), “
Additional evidence on audit report lag
”,
AUDITING: A Journal of Practice and Theory
, Vol.
20
No.
1
, pp.
137
-
146
, doi: .
Krane
,
R.
and
Eulerich
,
M.
(
2020
), “
Going global: factors influencing the internationalization of the internal audit function
”,
Journal of International Accounting, Auditing and Taxation
, Vol.
41
, p.
100353
, doi: .
Lajmi
,
A.
,
Khiari
,
W.
and
Ouertani
,
O.
(
2021
), “
Legal audit quality and fraud risk: the case of tunisian listed companies
”,
International Journal of Accounting and Finance Review
, Vol.
6
No.
2
, pp.
1
-
15
, doi: .
Lee
,
H.
,
Mande
,
V.
and
Son
,
M.
(
2008
), “
A comparison of reporting lags of multinational and domestic firms
”,
Journal of International Financial Management and Accounting
, Vol.
19
No.
1
, pp.
28
-
56
, doi: .
Leventis
,
S.
,
Weetman
,
P.
and
Caramanis
,
C.
(
2005
), “
Determinants of audit report lag: some evidence from the Athens stock exchange
”,
International Journal of Auditing
, Vol.
9
No.
1
, pp.
45
-
58
, doi: .
Moalla
,
H.
(
2017
), “
Audit report qualification/modification: impact of financial variables in Tunisia
”,
Journal of Accounting in Emerging Economies
, Vol.
7
No.
4
, pp.
468
-
485
, doi: .
Moalla
,
M.
,
Bouaziz
,
D.
and
Jarboui
,
A.
(
2024
), “
The impact of workforce environment on CSR audit report lag: the moderating role of media coverage
”,
Journal of Financial Reporting and Accounting
, doi: .
Myers
,
S.C.
(
1977
), “
Determinants of corporate borrowing
”,
Journal of Financial Economics
, Vol.
5
No.
2
, pp.
147
-
175
, doi: .
Nekhili
,
M.
,
Javed
,
F.
and
Chtioui
,
T.
(
2018
), “
Gender-diverse audit partners and audit fee premium: the case of mandatory joint audit. International
”,
Journal of Auditing
, Vol.
22
No.
3
, pp.
486
-
502
, doi: .
Nurunnabi
,
M.
,
Donker
,
H.
and
Jermakowicz
,
E.
(
2020
), “
Joint audits and mutual ties of audit firm networks
”,
Business Horizons
, Vol.
63
No.
4
, pp.
435
-
449
, doi: .
Onatuyeh
,
E.
,
Aniefor
,
S.
,
Orife
,
C.
,
Ogbolu
,
L.
and
Osevwe-Okoroyibo
,
E.
(
2024
), “
The impact of auditor attributes and firm size on financial reporting timeliness of listed firms
”,
Investment Management and Financial Innovations
, Vol.
21
No.
4
, pp.
116
-
127
, doi: .
Owhoso
,
V.E.
,
Messier
,
W.F.
and
Lynch
,
J.G.
(
2002
), “
Error detection by industry‐specialized teams during sequential audit review
”,
Journal of Accounting Research
, Vol.
40
No.
3
, pp.
883
-
900
, doi: .
Palmrose
,
Z.-V.
(
1986
), “
Audit fees and auditor size: further evidence
”,
Journal of Accounting Research
, Vol.
24
No.
1
, pp.
97
-
110
, doi: .
Rahaman
,
M.M.
and
Bhuiyan
,
M.B.U.
(
2024
), “
Audit report lag and key audit matters in Australia
”,
International Journal of Disclosure and Governance
, Vol.
22
No.
2
, pp.
532
-
554
, doi: .
Ratzinger-Sakel
,
N.
,
Audousset-Coulier
,
S.
,
Kettunen
,
J.
and
Lesage
,
C.
(
2012
), “
What do we know about joint audit?
”,
The Institute of Chartered Accountants of Scotland
, pp.
1
-
49
.
Rusmin
,
R.
and
Evans
,
J.
(
2017
), “
Audit quality and audit report lag: case of Indonesian listed companies
”,
Asian Review of Accounting
, Vol.
25
No.
2
, pp.
191
-
210
, doi: .
Schroeder
,
J.H.
and
Hogan
,
C.E.
(
2013
), “
The impact of PCAOB AS5 and the economic recession on client portfolio characteristics of the big four audit firms
”,
AUDITING: A Journal of Practice and Theory
, Vol.
32
No.
4
, pp.
95
-
127
, doi: .
Securities and Exchange Commission
(
2002
), “
Final rule: Acceleration of periodic report filing dates and disclosure concerning website access to reports (release nos. 33-8128; 34-46464”, IC-25722)
,
available at:
Link to Final rule: Acceleration of periodic report filing dates and disclosure concerning website access to reports (release nos. 33-8128; 34-46464”, IC-25722)www.sec.gov/rules/final/33-8128.htmLink to the cited article
Simunic
,
D.A.
(
1980
), “
The pricing of audit services: theory and evidence
”,
Journal of Accounting Research
, Vol.
18
No.
1
, pp.
161
-
190
, doi: .
Sutaryo
,
S.
and
Lase
,
Y.
(
2015
), “
Auditors’ characteristics and audit delay: evidence from Indonesian regional governments
”,
Corporate Ownership and Control
, Vol.
13
No.
1
, pp.
66
-
73
, doi: .
Torres
,
L.
,
Royo
,
S.
and
García-Rayado
,
J.
(
2020
), “
Social media adoption by audit institutions. A comparative analysis of Europe and the United States
”,
Government Information Quarterly
, Vol.
37
No.
1
, p.
101433
, doi: .
Toumi
,
F.
,
Khlif
,
H.
and
Khelil
,
I.
(
2025
), “
National culture and audit report lag: cross-country investigation
”,
Journal of Economic and Administrative Sciences
, Vol.
41
No.
1
, pp.
282
-
299
, doi: .
Van der Zahn
,
J.L.W.M.
(
2023
), “
Abolition of mandated joint-audit requirements: impact on audit reporting lag in an emerging capital market
”,
International Journal of Auditing
, Vol.
27
No.
1
, pp.
45
-
68
, doi: .
Van Der Zahn
,
M.
and
Tebourbi
,
I.
(
2023
), “
Audit quality and abolition of mandated joint-audits: evidence from Kuwait
”,
Journal of Applied Accounting Research
, Vol.
24
No.
1
, pp.
70
-
105
, doi: .
Walker
,
A.
and
Hay
,
D.
(
2013
), “
Non‐audit services and knowledge spillovers: an investigation of the audit report lag
”,
Meditari Accountancy Research
, Vol.
21
No.
1
, pp.
32
-
51
, doi: .
Wan Hussin
,
W.N.
,
Bamahros
,
H.M.
and
Shukeri
,
S.N.
(
2018
), “
Lead engagement partner workload, partner-client tenure and audit reporting lag: evidence from Malaysia
”,
Managerial Auditing Journal
, Vol.
33
No.
3
, pp.
246
-
266
, doi: .
Wan Hussin
,
W.N.
and
Bamahros
,
H.M.
(
2013
), “
Do investments in and the sourcing arrangement of the internal audit function affect audit delay?
”,
Journal of Contemporary Accounting and Economics
, Vol.
9
No.
1
, pp.
19
-
32
, doi: .
Yeboah
,
E.N.
,
Addai
,
B.
and
Appiah
,
K.O.
(
2023
), “
Audit pricing puzzle: do audit firm industry specialization and audit report lag matter?
”,
Cogent Business and Management
, Vol.
10
No.
1
, p.
2172013
, doi: .
Zhou
,
Y.
,
Liu
,
J.
and
Lei
,
D.
(
2024
), “
The effect of financial reporting regimes on audit report lags and audit fees: evidence from firms cross-listed in the USA
”,
Journal of Financial Reporting and Accounting
, Vol.
22
No.
4
, pp.
917
-
941
, doi: .
Abbott
,
L.J.
,
Parker
,
S.
,
Peters
,
G.F.
and
Raghunandan
,
K.
(
2003
), “
The association between audit committee characteristics and audit fees
”,
AUDITING: A Journal of Practice and Theory
, Vol.
22
No.
2
, pp.
17
-
32
, doi: .
Al-Araj
,
R.
(
2023
), “
Characteristics of ACs and their impact on the period of issuing the auditor’s report: an empirical study on Jordanian public shareholding companies
”,
Uncertain Supply Chain Management
, Vol.
11
No.
2
, pp.
503
-
512
, doi: .
Al-Ghanem
,
W.
and
Hegazy
,
M.
(
2011
), “
An empirical analysis of audit delays and timeliness of corporate financial reporting in Kuwait
”,
Eurasian Business Review
, Vol.
1
No.
1
, pp.
73
-
90
, doi: .
Aljouan
,
M.
(
2021
),
An Understanding of the Joint Audit Role in Enhancing the External Audit Practices in Kuwait
,
University of Salford
.
Bajary
,
A.R.
,
Shafie
,
R.
and
Ali
,
A.
(
2023
), “
COVID-19 pandemic, internal audit function and audit report lag: evidence from emerging economy
”,
Cogent Business and Management
, Vol.
10
No.
1
, p.
2178360
, doi: .
Benmoussa
,
S.
,
Benchekara
,
M.
and
Errabih
,
S.
(
2023
), “
Statutory auditor in Morocco between theory and practical reality: empirical study
”,
International Journal of Performance and Organizations
, Vol.
2
No.
1
, pp.
37
-
45
, doi: .
Ettredge
,
M.L.
,
Li
,
C.
and
Sun
,
L.
(
2006
), “
The impact of SOX section 404 internal control quality assessment on audit delay in the SOX era
”,
AUDITING: A Journal of Practice and Theory
, Vol.
25
No.
2
, pp.
1
-
23
, doi: .
Freeman
,
R.E.
and
Dmytriyev
,
S.
(
2017
), “
Corporate social responsibility and stakeholder theory: learning from each other
”,
Symphonya. Emerging Issues in Management
, Vol.
1
No.
1
, pp.
7
-
15
, doi: .
Habib
,
A.
and
Huang
,
H.J.
(
2019
), “
Abnormally long audit report lags and future stock price crash risk: evidence from China
”,
International Journal of Managerial Finance
, Vol.
15
No.
4
, pp.
611
-
635
, doi: .
Hay
,
D.C.
,
Knechel
,
W.R.
and
Wong
,
N.
(
2006
), “
Audit fees: a meta‐analysis of the effect of supply and demand attributes
”,
Contemporary Accounting Research
, Vol.
23
No.
1
, pp.
141
-
191
, doi: .
Miles
,
S.
(
2019
), “Stakeholder theory and accounting”, in
Harrison
,
J. S.
,
J. B.
Barney
,
R. E.
Freeman
. and
R. A.
Phillips
(Eds),
The Cambridge Handbook of Stakeholder Theory (1st Ed
,
Cambridge University Press
, pp.
173
-
188
, doi: .
Morris
,
R.D.
(
1987
), “
Signalling, agency theory and accounting policy choice
”,
Accounting and Business Research
, Vol.
18
No.
69
, pp.
47
-
56
, doi: .
Mubarok
,
F.
,
Pahala
,
I.
and
Perdana
,
P.N.
(
2022
), “
The influence of audit fees, the complexity of the company’s operations, and audit tenure on audit report lag
”,
Jurnal Akuntansi, Perpajakan Dan Auditing
, Vol.
3
No.
3
, pp.
797
-
819
, doi: .
Musah
,
A.
,
Okyere
,
B.
and
Osei-Bonsu
,
I.
(
2023
), “
The influence of the COVID-19 pandemic on audit fees and audit report timeliness of listed firms in Ghana
”,
Cogent Business and Management
, Vol.
10
No.
2
, p.
2217571
, doi: .
Sarhan
,
A.A.
,
Ntim
,
C.G.
and
Al-Najjar
,
B.
(
2019
), “
Antecedents of audit quality in MENA countries: the effect of firm- and country-level governance quality
”,
Journal of International Accounting, Auditing and Taxation
, Vol.
35
, pp.
85
-
107
, doi: .
Shin
,
I.-H.
,
Lee
,
H.-Y.
,
Lee
,
H.-A.
and
Son
,
M.
(
2017
), “
How does human resource investment in internal control affect audit reporting lag?
”,
Asia-Pacific Journal of Accounting and Economics
, Vol.
24
Nos
1-2
, pp.
195
-
215
, doi: .
Suwardi
,
E.
and
Saragih
,
A.H.
(
2023
), “
The effect of tax risk on audit report delay: empirical evidence from Indonesia
”,
Cogent Business and Management
, Vol.
10
No.
1
, p.
2192315
, doi: .
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