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The United Nations' sustainable development goals (SDGs) put together a global framework in an attempt to address environmental, social and governance (ESG) concerns. Measuring a company’s contribution to the SDGs relies heavily on ESG reporting. This paper aims to examine the impact of ESG reporting on the corporate profitability of listed companies in Thailand over the period of 2019–2021.

Using 147 listed firms in the ESG group, content analysis was used to quantify the ESG reporting (within 11 themes), while corporate profitability was measured by return on asset and return on equity. Descriptive analysis, correlation matrix and panel regression are used to analyze the data of this study.

Consistent with the legitimacy, stakeholder and signaling theories, the authors found a statistically significant and positive impact of ESG reporting on corporate profitability in Thailand.

The findings highlight the importance of incorporating ESG considerations into companies’ reporting and decision-making processes, as these can enhance firm profitability and performance, attract stakeholders, improve their competitive advantage and step toward sustainability.

This paper aims to analyze the effect of family control and influence dimension of the socioemotional wealth (SEW) on capital structure of large listed firms in the North African region.

The study uses panel data of the top 98 largest listed firms in the North African capital markets over the period from 2018 to 2022. The analysis is conducted employing random effects models.

Findings suggest that large listed firms in North African region rely on more use of equity rather than debt financing. Further, results show that family control and influence dimension of the SEW, has no significant impact on the capital structure of North African large listed firms. This implies that the financing behavior of large firms listed in the North African countries is driven by financial and rationale factors rather than non-economic considerations. Indeed, findings support assumptions of the pecking order theory.

This transnational study provides new insights into relevancy of socioemotional theory in explaining capital structure decisions within large family businesses in emerging markets. Findings have the potential to enhance analysts', investors' and practitioners' understanding of financing decisions by large listed firms in this region. This, in turn, can aid in conceiving adapted financing solutions.

This article analyses the recent inverse transition from goodwill impairment to goodwill amortisation implemented in Spain in 2016. The authors contribute to the existing literature by describing their differing impact over goodwill and impairment figures and testing the impact of goodwill on balances over stock prices.

First, using a database with all Spanish non-financial firms with positive goodwill on their balance sheets, the authors describe the impact of the regulatory change over goodwill and impairment figures. Second, focussing on listed firms only, the authors study the impact of financial reporting of goodwill and impairment on stock prices.

Average goodwill per company and the share of goodwill over total assets significantly reduced after 2016, but the results cannot be easily extrapolated to listed firms due to lack of data. When testing the impact of potentially inflated goodwill balances on prices, the authors find that investors kept overvaluing firms with inflated goodwill balances also with the amortisation method.

The lack of data for listed firms with goodwill in Spain makes it difficult to obtain statistically sound evidence, the results could be biased by the cultural traits of the country and related to the intensity of enforcement and monitoring.

This might suggest that the effects of the impairment method linger, so the authors conform to the interpretation that the systematic amortisation paired with a periodic impairment test may lead to accounting that better reflects the underlying economics of goodwill.

To the best of the authors' knowledge, there are no recent articles that analyse this new “turn-around” requiring again the systematic amortisation of goodwill.

This paper examines how firms respond to local government’s environment initiatives through textual analysis of government work reports (GWRs). This study aims to provide insights into how firms strategically respond to government’s environmental initiatives through their disclosure and investment practices.

This study uses a textual analysis of GWRs from China’s provinces. The frequency and change rate of environmental keywords in these reports are used as a measure of the government’s environmental initiatives.

This study finds that environmental disclosure scores in environmental, social and governance (ESG) reports increase with the frequency or change rate of environmental keywords in provincial GWRs. This effect is more pronounced for non-state-owned enterprises, firms in highly marketized provinces or those listed in a single capital market. However, there is no significant relationship between firms’ environmental investments and government initiatives, except for cross-listed firms in provinces with consistently high frequency of environmental keywords in their GWRs.

The findings indicate that government environmental initiatives can shape firms’ disclosure behaviors, yet have limited influence on investment decisions, suggesting that environmental disclosure could potentially be opportunistic. This underscores the need for more effective strategies to stimulate firms’ environmental investments.

This study provides valuable insights into the differential impacts of government environmental initiatives on firms’ disclosure and investment behaviors, contributing to the understanding of corporate environmental responsibility in the context of government initiatives.

This study aims to examine the impact of board characteristics on firm performance while also exploring the influential mechanisms that help Chinese listed companies establish effective boards of directors and strengthen their corporate governance mechanisms.

This paper uses machine learning methods to investigate the predictive ability of the board of directors' characteristics on firm performance based on the data from Chinese A-share listed companies on the Shanghai and Shenzhen stock exchanges in China during 2008–2021. This study further analyzes board characteristics with relatively strong predictive ability and their predictive models on firm performance.

The results show that nonlinear machine learning methods are more effective than traditional linear models in analyzing the impact of board characteristics on Chinese firm performance. Among the series characteristics of the board of directors, the contribution ratio in prediction from directors compensation, director shareholding ratio, the average age of directors and directors' educational level are significant, and these characteristics have a roughly nonlinear correlation to the prediction of firm performance; the improvement of the predictive ability of board characteristics on firm performance in state-owned enterprises in China performs better than that in private enterprises.

The findings of this study provide valuable suggestions for enriching the theory of board governance, strengthening board construction and optimizing the effectiveness of board governance. Furthermore, these impacts can serve as a valuable reference for board construction and selection, aiding in the rational selection of boards to establish an efficient and high-performing board of directors.

The study findings unequivocally demonstrate the superiority of nonlinear machine learning approaches over traditional linear models in examining the relationship between board characteristics and firm performance in China. Within the suite of board characteristics, director compensation, shareholding ratio, average age and educational level are particularly noteworthy, consistently demonstrating strong, nonlinear associations with firm performance. Within the suite of board characteristics, director compensation, shareholding ratio, average age and educational level are particularly noteworthy, consistently demonstrating strong, nonlinear associations with firm performance. The study reveals that the predictive performance of board attributes is generally more robust for state-owned enterprises in China in comparison to their counterparts in the private sector.

Foreign directors from developed nations are significant brain gains for Chinese firms because they improve board competency and board diversity. Therefore, the purpose of this study is to explore the relationship between foreign directors from developed countries on Chinese listed firms and firms’ green commitment.

For the empirical analysis, first, this study applies ordinary least square regression and firm fixed model to explore the relationship between foreign directors and green commitment. For the endogeneity concerns, this study first added more control variable in the main model, then applied instrumental variable approach and propensity score matching technique.

This study predicts and finds that percentage of foreign directors from developed countries on Chinese listed firms’ board positively enhances the firms’ green commitment. Furthermore, this study also finds that the positive relationship between foreign directors and firms’ green commitment is more significant when firms are in a low competitive industry, have no financial constraints and are overseas-listed. This study’s findings are robust after controlling for endogeneity concerns.

This is new research on the impact of foreign directors on corporate green commitment.

This paper aims to investigate the impact of audit mechanisms on earnings management (EM) practices in listed Saudi Arabian companies. Specifically, it examines the association between audit committee (AC) characteristics, external audit quality and EM before and after the revision of Saudi Regulations on Corporate Governance (SRCGs) in 2017.

The study analyzes a data set comprising 135 Saudi-listed companies observed from 2013 to 2020. EM practices are measured using the absolute value of discretionary accruals, and external audit quality is assessed by the involvement of BIG 4 auditors. The authors also consider four variables to gauge AC characteristics: independence, size, meeting frequency and expertise. To test the hypotheses, the authors use multivariate regression on panel data.

The findings provide robust evidence regarding the impact of audit mechanisms on EM practices. The presence of accounting and finance experts within the AC is shown to have a substantial and statistically significant effect in reducing EM practices. Similarly, AC independence demonstrates a negative association with EM after the implementation of the SRCGs 2017. However, the study does not uncover any statistically significant impact of AC size and meeting frequency on EM practices. Moreover, the research highlights a noteworthy positive relationship between EM practices and engagement with BIG 4 audit firms before the SRCGs 2017. However, this relationship ceases to exist following the regulatory amendment.

The practical implications of this research are significant for policymakers and companies operating in Saudi Arabia, as well as for practitioners and auditors working in the region. The findings underscore the importance of high-quality auditing work to prevent EM practices and promote transparent financial reporting. The study recommends increasing the number of independent members and financial experts on the AC, as well as rigorous monitoring of AC size and meetings. It also emphasizes the need for compliance with governance regulations to focus on effective monitoring of the AC rather than mere fulfillment of requirements.

The study enhances the existing literature on the effectiveness of ACs and external audit quality in mitigating EM by providing evidence from a unique and Islamic context that has not been extensively studied before. This can help in validating or challenging the findings of previous studies and provide a more comprehensive understanding of the factors that impact EM in different contexts.

Although publicly listed firms in Sri Lanka have been increasingly adapting sustainability reporting into their annual reporting practices, a limited number of firms prepare sustainability reports by integrating sustainable development goals (SDGs) into reporting mechanisms. This study attempts to develop an index to monitor firms' sustainability reporting practices based on Global Reporting Institute (GRI) guidelines integrating SDGs.

This paper develops a sustainability score index using the 17 SDGs utilising the results of content analysis of corporate annual reports of a selected sample of 100 firms listed on the Colombo Stock Exchange (CSE). Principal component analysis was employed to examine the reliability of data in the developed index.

Findings show that the developed scoring index is efficient for evaluating the contents of the sustainability reports of Sri Lankan firms. Sustainability reporting practises with regard to the SDGs were observed to have a turbulent period from 2015 to 2019 and the SDGs 12 and 15 were identified to be mostly reported in Sri Lankan corporate sustainability reports.

The results of the study add to knowledge on the monitoring of sustainability reporting practises with reference to SDGs. The study outcomes are useful for the investors, stakeholders, and statutory bodies to measure the sustainable performance of business firms and assess the firm’s commitment towards the global sustainability agenda.

To the best of our knowledge, this is the first study that constructs a sustainability reporting score index integrating SDGs.

This study aims to investigate whether gender diversity in audit committees affects the purchase of nonaudit services in China. Results from family and nonfamily firms are compared and the critical mass participation of females are further examined.

The sample comprises 1,834 Chinese listed companies from 2012 to 2021, among which 910 are family firms. The Heckman (1979) two-stage model is used to mitigate the potential endogeneity issue in the selection of gender diversity. Propensity score matching is also used to further alleviate the endogeneity problem in relation to family firms.

Results show a significant and negative correlation between the gender diversity in audit committees and nonaudit service fees. This association is more apparent in nonfamily than in family firms. Findings are consistent and robust to endogeneity tests and sensitivity analyses. The analysis of critical mass and symbolic participation shows that three female directors can more significantly restrain nonaudit fees than one to two females on the board.

This study contributes to literature on resource dependence theory, which posits that audit committees help enterprises establish contact with auditors, improve the company legitimacy, assist in communication and provide relevant expertise. This study also relates to agency theory, which holds that differences in the severity of types I and II agency problems between family and nonfamily firms lead to differences in auditor selection and related costs.

Extending from previous research on the relation between the gender diversity in audit committees and nonaudit fees, the present study delves into this connection within the context of China, an emerging economy. As a result, this investigation offers novel insights and expands upon current knowledge. In addition, the correlation between the gender diversity of audit committees and nonaudit fees is explored for family and nonfamily firms.

This paper explores the connection between capital structure and financial performance within European listed firms. The primary objective is to demonstrate an inverse U-shaped relationship between these two variables and pinpoint an optimal debt-equity mix.

In this study, we adopt a dynamic modeling approach to investigate the relationship between a firm’s capital structure and financial performance. Drawing on well-established theories and prior empirical studies, our model examines 3,121 dividend-paying firms from 41 European countries over 14 years, from 2008 to 2021. To enhance the reliability of our findings, we employ two distinct estimation techniques: the fixed effect model (FE) and the system generalized method of moments (System-GMM).

This study reveals an inverse U-shaped relationship between the firm’s financial performance, measured by the return on equity (ROE) and its capital structure (total liability to total assets ratio). Furthermore, an optimal capital structure of about 29% is determined for all firms in the sample, and about 21%, 28% and 41% industry-specific capital structure for manufacturing, real estate and wholesale trade, respectively.

This paper contributes to existing knowledge by empirically determining an optimal capital structure for listed firms across various industries in Europe, which very few studies have attempted to do in the past. An optimal capital structure is an invaluable benchmark for managers and other stakeholders, informing their decision-making.