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In this paper, the authors examine the association between the amount of continuing professional education (CPE) hours per staff and audit quality in terms of discretionary accruals and audit opinion.

Several methodologies are adopted to test the hypotheses, including the ordinary least square (OLS) and logistic regression (Logistic). The authors also employ instrument variables regression with two least square (IVREG with 2SLS) and instrument variables probit model (IVProbit) to address the possible endogeneity and strengthen the validity of the main estimation results.

The main results show that there is a positive and significant relationship between CPE hours per staff and audit quality. As the authors grouped CPE into four areas (finance, auditing and accounting, tax, law and regulations and others) the results are more robust for the sub-sample “accounting and audit” and “others”. Moreover, the findings of this study suggest that CPE hours per staff do not affect audit quality significantly for Big4 audit firms compared to non-Big4 firms.

The sample size of the present study is quite small because the transparency reports of the audit firms in Turkey have been available since 2013 and the authors could not reach some auditor demographics at the individual level and some attributes at the audit firm level. Besides, some alternative audit quality measures, such as audit effort, audit fees are not employed because they are not disclosed.

This study contributes to the audit literature using Turkish audit firms. The authors believe that the setting of Turkey may yield interesting results because of the data it provides.

Recent studies regarding auditor experience generally focus on auditor overall experience in accounting, auditing, finance and related fields (Hardies et al., 2014), auditor sector and domain experience (Bedard and Biggs, 1991; Hammersley, 2006), auditor experience as CPA (Ye et al., 2014; Sonu et al., 2016) or big N experience (Chi and Huang, 2005; Gul et al., 2013; Zimmerman, 2016) or auditors’ international working experience (Chen et al., 2017). But there is little attention paid to where auditors obtained their experience from? And how do auditors with government experience affect audit quality (AQ)? This paper aims to present the effect of auditors with government experience on AQ.

The authors used Turkish publicly traded firms in Borsa Istanbul between the year 2008 and 2015 to test the hypothesis. The sample comprises 1,067 observations and eight years. Two main proxies of government experience are used in this paper. The first proxy is auditor’s government experience in the past. The second proxy is the continuous variable which is “the logarithmic value of the number of years of government experience”. Further, auditor overall experience in auditing, accounting, finance and other related fields are also used as a control variable. Audit reporting aggressiveness, audit reporting lag and discretionary accruals are used as proxies of AQ. Besides this, the authors adopted the model to estimate the probability of selecting a government-experienced auditor, and they presented the regression results with the addition of inverse Mills ratio.

The main findings are consistent with conjecture. Government-experienced auditors do not enhance AQ. They are aggressive, and they complete audit work slowly and they cannot detect discretionary accruals effectively. Spending more time in a government agency makes them more aggressive and slow, and they do not detect earnings management practices. The Heckman estimation results regarding the variable of interest are also consistent with the main estimation results. In addition, the authors found in predicting government-experienced auditor choice that family firms, domestic firms and firms that reported losses (larger firms, older firms) are more (less) likely to choose government-experienced auditors.

This study has some limitations. The authors used a small sample to test the impact of government-experienced auditors on AQ because of data access problems. Much data used in this study were collected manually. Earnings quality was calculated using only discretionary accruals. Real activities manipulation was not used as the proxy of AQ in this paper. The findings from emerging markets might not generalize to the developed countries because the Turkish audit market is developing compared to Continental Europe or USA.

The findings are considered for independent audit firms. Audit firms may employ new graduates and train them to offer more qualified audit work for their clients. The results do not mean that government-experienced auditors should not work in an audit firm, or that they should not establish an audit firm. It is clear that government-experienced auditors provide low AQ in terms of audit reporting aggressiveness, audit report lag and discretionary accruals. But as they operate more in the independent audit sector, they will become successful and provide qualified audit work. One other thing we can say is that it is perhaps better for government-experienced auditors to work in the tax department of independent audit firms.

This paper tries to fill the gap in the literature regarding the effect of auditor experience on AQ and concentrates on a different type of experience: Auditors with government experience.

The purpose of the article is to examine the effect of life cycle stages on capital expenditures, using Borsa Istanbul-listed companies.

The panel data estimation procedure was used as the primary method to test the hypothesis. The authors used four additional analyses to check the robustness of the results. The model was tested for endogeneity using the generalized method of moments (GMM) estimation. Quantile regression was utilized for the non-parametric test of the model. In the third robustness test, the sample was divided into two using financial constraints with the Size-Age (SA) Index proposed by Hadlock and Pierce (2010). The last analysis removed the global financial crisis (GFC) years from the sample.

Borsa Istanbul-listed companies tend to invest less as they move forward in their life cycle stages. The results show that market capitalization, operating cash flow levels and leverage positively affect capital expenditure investments. The empirical evidence also revealed that cash holding levels have a negative effect on capital expenditure decisions. Robustness tests support the results.

The findings are potentially useful for investors and managers. Having the information that decreasing capital expenditures signals that the company is in the last stages of its life would be a sign for managers to improve their investment strategies to avoid getting out of business and survive. They need to find options and solutions to propel their companies back on a path of growth. Additionally, the same information could be vital for investors' investment decisions.

This paper contributes to the literature by providing evidence about the effect of life cycle stages on capital expenditures from an emerging market. To the best of the authors’ knowledge, it is the first paper to investigate empirically how moving forward in the life cycle stages affects capital expenditures in an emerging market.

This study aims to examine the effect of the COVID-19 pandemic in comparison to the global financial crisis (GFC) on the gross domestic product (GDP) growth rate of China.

Empirical analyses are conducted through alternative methods such as ordinary least squares, Markov regime switching (MRS) and mixed data sampling (MIDAS) regressions. The flexibility of MIDAS regression enables us to use different variables with quarterly (GDP), monthly (export sales and foreign-exchange reserves) and daily frequencies (foreign exchange rates and Brent oil price).

The results indicate that the COVID-19 pandemic has had a considerable negative effect on China’s GDP growth, while the dummy variables used for the GFC are found to be insignificant. Further, the forecast accuracy test statistics exhibited a superior performance from MIDAS regression compared to the alternative models, such as MRS regression analysis. According to the forecast results, the authors expect a recovery in China’s economic growth in the second quarter of 2020.

This is one of the earliest studies to examine the effect of the COVID-19 pandemic on the Chinese economy, and to compare the impact of COVID-19 with the GFC. The authors provide further evidence regarding the performance of MIDAS regression analysis vs alternative methods. Findings obtained shed light on policymakers, corporations and households to update their consumption, saving and investment decisions in the chaotic environment of this pandemic.

Sharia compliance states that the compliant company operates not only under regulations but also to the restrictions and permission of Islam. This study aims to reveal whether Sharia compliance enhances the financial reporting quality.

The sample is constructed from 15 Muslim majority countries, 2,300 companies for the periods between 2005 and 2017 with 23,810 firm*year observations. Financial reporting quality is measured with discretionary accruals and audit aggressiveness. Discretionary accruals is the absolute of Kothari, Leone and Wasley’s (2005) “performance matched discretionary accruals model.” Audit aggressiveness is calculated with Gul, Wu and Yang’s (2013) model.

This study reveals the behavioral differences in financial reporting quality between Sharia-compliant and non-compliant companies. According to the analyzes, Sharia compliance increases the financial reporting quality by decreasing the discretionary accruals and audit aggressiveness. This result is supported by the robustness tests.

Sharia compliance is not limited to business activity, financial restrictions and supervisory board for Sharia-compliant companies. It also enhances the companies’ financial reporting quality. Robustness analysis also showed that the International Financial Reporting Standards (IFRS) increases the financial reporting quality by reducing discretionary accruals and audit aggressiveness.

This study contributes to the accounting literature by providing an insight on the use of Islamic financial instruments. The empirical results also show that the use of IFRS and Islamic financial instruments decreases the discretionary accruals and audit aggressiveness.

Today’s financial reporting inherits its origin in money, numbers and accounting dated back 7,000 years in Mesopotamia. The Italian Luca Pacioli, “first person to publish a work on double-entry bookkeeping”¹ is regarded as the father of accounting and bookkeeping. In USA, SEC issued its first Accounting Series Release which appeared to be Commission’s views on auditing and accounting, later, in 1982 has become known as Financial Reporting Releases. Today more than 100 countries permit publicly held companies to use International Financial Reporting Standards. This meteoric rise for use of financial reporting was due to a worldwide demand from regulators, lenders, trade partners, businesses, investors and policy makers. “The Companies Act of 1994 mandates requirement for financial reporting by all companies in Bangladesh.”² Banks’ reporting formats and disclosures in Bangladesh based on BAS 30 is similar to the requirements of the Companies Act of 1994. The research depicts how the two banking institutions of Bangladesh – Islami Bank Bangladesh Limited (IBBL) and Grameen Bank having two philosophical objectives – uniquely present their results of operation under a uniform financial reporting system and how they differ in their financial operations.

Lean construction (LC) consists of very effective techniques; however, its implementation varies considerably from one industry to another. Although numerous lean initiatives do exist in the construction industry, the research topic related to LC implementation is still unexplored due to the scarcity of validated assessment frameworks. This study aims to provide the first attempt in developing a structural model for successful LC implementation.

This study developed a Lean construction model (LCM) by critically reviewing seven previous LC frameworks from different countries, defining 18 subprinciples grouped into 6 major principles and formulating testable hypotheses. The questionnaire was pre-tested with 12 construction management experts and revised by 4 specialized academics. A pilot study with 20 construction units enhanced content reliability. Data from 307 Moroccan construction companies were collected to develop a measurement model. SPSS V. 26 was used for Exploratory Factor Analysis, followed by confirmatory factor analysis using AMOS version 23. Finally, a structural equation model statistically assessed each construct's contribution to the success of LC implementation.

This work led to the development of an original LCM based on valid and reliable LC constructs, consisting of 18 measurement items grouped into 6 LC principles: Process Transparency, People involvement, Waste elimination, Planning and Continuous improvement, Client Focus and Material/information flow and pull. According to the structural model, LC implementation success is positively influenced by Planning and Scheduling/continuous improvement (β = 0.930), followed by Elimination of waste (β = 0.896). Process transparency ranks third (β = 0.858). The study demonstrates that all these factors are mutually complementary, highlighting a positive relationship between LC implementation success and the holistic application of all LC principles.

To the best of the authors’ knowledge, this study is the first attempt to develop a statistically proven model of LC based on structural equation modelling analysis, which is promising for stimulating construction practitioners and researchers for more empirical studies in different countries to obtain a more accurate reflection of LC implementation. Moreover, the paper proposes recommendations to help policymakers, academics and practitioners anticipate the key success drivers for more successful LC implementation.