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The purpose of this paper is to describe, illustrate and provide a deeper understanding of team composition and labor allocation in audit teams by quantifying the exact value of resources at different levels of the audit production. Audit teams have been considered as a black box in audit research. Therefore, this paper reports descriptive statistics on (levels and proportions of) hours and costs allocated to auditor ranks (and the number and value, i.e. billing rates, of auditors for different ranks and the entire team) to shed new light on audit teams.

This study uses a proprietary data set containing disaggregated information on hours, costs and billing rates for each team member in each of 908 audit engagements. The data are provided by a Swedish Big 4 audit firm. The study uses a purely descriptive approach and categorizes auditors into seven ranks. As size and the publicly listed status are crucial determinants of audit production, the paper splits engagements in public and private companies and reports statistics for size quartiles of both public and private clients.

The paper provides descriptive statistics for (1) client size, (2) audit team members, (3) audit hours, (4) audit costs, (5) proportion of audit hours, (6) proportion of audit costs, (7) billing rates and (8) variation of billing rates. Results show that compared to private clients, the audit firm allocates higher effort from auditors in higher ranks and lower effort from auditors in lower ranks to public clients. Another finding is that allocation varies with client size for private clients, but less so for public clients.

In an area with sparse literature, this descriptive study serves as a first step to improve our understanding and guide future research. It provides concrete support for previously known theory.

The purpose of this paper is to examine the role family identity and reputational concerns plays when private family firms engage in earnings management.

The paper is conducted as an archival study using data from private limited liability firms in Norway over the period from 2002 to 2015. The dataset includes financial accounting data and data on family relationships between shareholders, board members and CEOs, where family relationships are determined through bloodlines, adoption and marriage, tracing back four generations and extending out to third cousins. To investigate the incidence of earnings management, the authors employ a measure of accrual-based earnings management (AEM) (Dechow and Dichev, 2002; McNichols, 2002) and a measure of real earnings management (REM) (Roychowdhury, 2006). They use whether or not the family name is included in the firm name (i.e. family name congruence) as a proxy for family members' identification with the family firm and their sensitivity to reputational concerns.

The authors’ results show that AEM is lower for family-named family firms. Moreover, their findings also indicate that family-named family firms are more likely to select REM over AEM, compared to nonfamily named family firms. This is even more pronounced when detection risk is high (high quality audit proxied by Big 4).

The quality of the authors’ findings is limited to the validity of their proxy for family firm identification and reputational concerns (the family name included in the firm name). Even though findings from prior research suggest that family name congruence is a valid proxy for identity and reputational concerns (e.g. Kashmiri and Mahajan, 2010, 2014; Rousseau et al., 2018; Zellweger et al., 2013), future research should investigate the validity of these results using alternative proxies for family firm identification. Future research should also investigate whether the authors’ findings are generalizable to public family firms.

The authors’ results suggest that the risk of AEM is lower for family-named family firms, whereas the risk of REM is somewhat higher, compared to nonfamily named family firms. These results might be relevant for financial accounting users, auditors and supervisory and monitoring bodies when assessing the risk of earnings management.

The paper is, as far as the authors are aware of, the first to investigate the role of family name congruence and detection risk when private family firms select between AEM and REM.

The purpose of this paper is to examine the effect on earnings quality in private firms caused by a negative shock to fundamental performance, while simultaneously addressing methodological challenges measuring fundamental performance present in prior accrual-based earnings management literature.

Fundamental performance is unobservable and, therefore, difficult to measure. Existing research has used proxies that are subject to estimation errors and endogeneity concerns (e.g. DeFond and Park, 1997, Balsam et al., 1995). This study attempts to overcome these issues by taking advantage of the exogenous shock in oil price which occurred in 2014 and by using a difference-in-differences approach to investigate the effect on earnings management caused by a negative shift in fundamental performance.

The results suggest that a negative shock in fundamental performance, indicated by the oil price shock in 2014, reduces earnings quality. This result holds for various robustness tests such as the use of propensity score matching, and the inclusion of firm fixed effects. Additional analysis suggests that the reduction in earnings quality is driven by an increase in positive discretionary accruals, suggesting that managers of private firms experiencing poor performance manage earnings upwards to conceal true performance.

This study contributes to the literature by examining the effect of a negative shock to performance in a setting of private firms and by addressing methodological challenges in prior literature. Private firms are fundamentally different from public firms, with the consequence that results from public firms may not be generalizable to private firms (e.g. Hope et al., 2012, Burghstahler et al., 2006, Ball and Shivakumar, 2005).

This study aimed to estimate the economic benefits of PM2.5 emission abatement by Red Pine, Pinus Koraiensis and Quercus, using a metering model analyzing the amount of PM2.5 absorption in Korea.

To estimate the economic effects of PM2.5 adsorptions by trees, the frequency of hospital visits resulting from respiratory and circulatory diseases was estimated using a Probit model based on the data from National Health and Nutrition Survey.

The results show that Quercus and Pinus Koraiensis absorb and eliminate the largest amount of PM2.5. Reducing 1 ton of PM2.5 emission through the planting of trees leads to lower incidences of respiratory and circulatory diseases equivalent to the amount of 95 million won. When the trees planted are 2-year-old Red Pine, Pinus Koraiensis and Quercus, the resulting economic benefits of the PM2.5 abatement would amount to 481 million won, 173 million won and 1,027 million won, respectively. If the trees are 80 years old, the economic benefits are estimated to be 73 billion won for Red Pine, 103 billion won for Pinus Koraiensis and 38 billion won for Quercus.

One limitation of this study is that the weight of PM2.5 adsorbed by each leaf area entirely depended on the experimental results from a prior study and the values are likely to be different from those actually absorbed in natural surroundings. In addition, because of the lack of data from a domestic survey on the surface of leaf area or the reload flow rate of PM2.5, this study referred to data from foreign research. Unfortunately, this specific data may not reflect climatic and terrain characteristics specific to the target country. We used the annual wind speed to calculate the reload flow rate and elimination volume; however, the figures could be more accurate with hourly or daily climate variations. When estimating the health benefits of changes in PM2.5 emissions on respiratory and circulatory diseases, more segmented access to patients' hospital visits and hospital admissions are desirable. Finally, the study focused on the three major tree species of Korea, however, a more detailed study of PM2.5 reduction by various tree types is needed in the future.

This paper quantitatively assessed the amount of PM2.5 adsorption by each of the three tree species. Then, the economic benefits were calculated in terms of how much money would be saved on hospital visits thanks to the reduced PM2.5 levels and lower incidences of respiratory and circulatory system diseases. The net contribution of this study was to prove the trees' function of reducing PM2.5 as it relates to human health. We focused on the most common trees in Korea and compared them to provide new information on the species.