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This paper investigates whether the audit fees of Chinese listed firms are associated with the share pledging practice of the firm’s controlling shareholders.

This study uses the audit pricing model to estimate the association between the share pledging of listed firms and audit fees. Cross-sectional analysis is conducted on a large sample of Chinese listed firms during the period 2004 to 2019. The authors further test the moderating effects of listing on the Main Board, state ownership and abnormal audit report lag on the association between share pledging and audit fees. The results remain robust to various endogeneity tests including two-stage least squares instrumental variable analysis, entropy balancing analysis and difference-in-difference analysis.

The study finds that audit fees are positively associated with the proportion of shares pledged by the listed firm’s controlling shareholder in China. The results also provide new evidence that the positive association between audit fees and the share pledging of controlling shareholders could be mitigated if the firm is listed on the Main Board and/or it is a state-owned enterprise. In contrast, pledged firms with abnormal audit report lag are found to have higher audit fees than their pledged counterparts without the excessively long audit delay.

Findings of this study have important practical implications to those charged with governance, as boards need to comprehensively understand the adverse consequences of share pledging when pursuing it as the firm’s major source of financing. The study also has policy implications for stock market regulators such as the China Securities Regulatory Commission in China. Regulators could consider developing a threshold-based share pledging disclosure and pledge ratio requirements based on factors such as a firm’s listing status and ownership structure.

This study provides new evidence on the audit-related consequences of share pledging in a significant capital market. Findings of this study also enrich the existing audit literature by introducing the share pledging activities of controlling shareholders into the audit pricing decision-making model.

Based on institutional theory, this paper aims to examine whether, and if so which, institutional forces influence the quality of China’s listed financial institutions’ (FIs) sustainability disclosures.

Using univariate statistical and multiple regression analyses, this study quantitatively examines the impacts of coercive pressure from the government and stock exchanges, imitation within subsectors and normative pressure from industry associations and regulators on the quality of China’s listed FIs’ sustainability disclosures. Assessment of the robustness of regression results uses panel random-effects and generalized methods of moments estimation.

Financial sector corporate social responsibility (CSR) disclosure quality did not increase dramatically following issue of the “Guiding Opinions on Establishing a Green Finance System.” However, a convergence in quality is found over time. State ownership concentration and state links to dominant shareholders negatively impact the quality of financial sector sustainability disclosures, whereas stock exchange index listing requirements and industry association reporting guidance have positive influences.

First, data availability limits the sample to listed financial firms with RKS quality scores. Thus, results may not be generalizable to the broader listed and unlisted financial sector. Second, this study only examines the influence of external forces based on institutional theory. However, internal institutional forces, such as corporate governance, may require examination. This study’s results indicate that coercive pressure, as represented by issue of the “Green Finance” policy, has not yet prompted the financial sector to improve reporting quality; however, normative pressure has had significant influence in influencing FIs’ CSR practices, with China’s banks potentially taking a leading role.

The financial sector has a lower direct environmental impact than traditional polluting industries and different operating and reporting structures, features often used to argue for its exclusion in prior studies. However, its indirect environmental impact via lending and investing activities is significant, suggesting evidence on the determinants of sustainability disclosure quality is required. This study uses evidence from China’s financial sector to reduce this gap in the literature.

This study aims to examine the effect of the chief executive officer (CEO) characteristics on corporate performance in private listed firms in China.

Fixed effects regressions are used to explore the connection of CEO age, tenure, political connection, duality and gender with firm performance. The final panel data sample consists of 16,010 firm-year observations from 2010 to 2020, including A-share private firms listed in the Shenzhen and Shanghai Stock Exchanges.

Five hypotheses are proposed, and results show that certain CEO characteristics, such as age, tenure and political connection, are positively related to corporate performance. Contrary to expectations, CEO duality and gender do not affect firm performance.

Findings present implications for future research on corporate governance and political connections of private listed firms.

This paper investigates the impact of financial integration on the capital structure of the firms operating in mainland China, examining the firm-level and country-level integrating variables for 2,878 listed Chinese firms over the period of 1991–2016 in regard to the firms' capital structures. Finally, the study revisits the associations for the state-owned and multinational firms in the context of China.

A large sample of unbalanced data from firms were used to explore the relationship firm-level and country-level integrating variables has with firm leverage and maturity; this is accomplished using the fixed effect model. For robustness, a system-generalised method of moments was used.

The results indicate that internationalisation positively impacts the leverage and debt maturity of all listed Chinese firms and multinational firms and that state-owned firms are financed mainly by the state. For country-level integration, the authors find that credit and equity markets are negatively related to a firm's leverage. A negative relation with credit markets suggests that Chinese firms have much cheaper financing options than the benefits that arise from credit market integration. Moreover, the effect of equity market integration is more pronounced on Chinese firms' capital structure and debt maturity than credit market integration.

The results provide valuable implications of financial integration for policymakers as well as capital structure decision-making for managers in China.

Few studies have examined the impact of integration on firms' capital structures in developing countries. After controlling for unobserved heterogeneity and endogeneity, this study adds new multilevel integration evidence on the capital structure of Chinese firms.

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.

Chinese-listed firms with Belt and Road Initiatives (BRI) play a crucial role in advancing the outward investment policy of China. Board diversity can be vital, and intellectual capital disclosure (ICD) showing future earnings can build investor confidence in these firms. This study examines these two relationships in Chinese-listed firms with BRI projects during a predictable business outlook period (2019, pre-Covid period) and unpredictable business outlook period (2020, Covid period).

The study used least squares regression that analysed the target population comprising 79 listed Chinese firms with BRI projects in 2019 and 2020. The China Stock Market and Accounting Research (CSMAR) database provided board diversity data. Analysing annual reports using content analysis provided the ICD data, collected by following an established intellectual capital (IC) coding framework in the literature. After collecting board-related data, the study calculated the diversity between boards in firms (diversity of boards – DOB) using cluster analysis. The study estimated the diversity within each board (diversity in boards – DIB) using Blau's Index.

The findings indicate that in the predictable business outlook environment, DOB positively associates with ICD, and DIB negatively associates with ICD. In the unpredictable business outlook environment, the DIB and DOB interaction negatively associates with ICD, and DOB positively associates with ICD.

The findings apply to Chinese-listed firms with BRI projects and further research is required to generalise findings beyond them. This study used annual reports to collect ICD, but a future study could examine BRI firms' social media and website disclosures. The attributes selected for board diversity dimensions can contribute to bounded findings, and future studies could expand the board diversity attributes included.

The findings provide insights into firms' board composition and structure associated with ICD.

This is one of the first studies providing empirical evidence about board diversity and ICD of Chinese-listed firms with BRI projects.

This study aims to explore how earnings management techniques are affected by corporate financial debt risk (FDR), internal control (IC) effectiveness and CEO education.

The study uses a sample from listed firms in China from 2010 to 2017, comprising different industries, including agriculture, forestry, livestock farming and fishing; mining; manufacturing; electric power, gas and water production and supply; construction; transport and storage; information technology; the real estate industry; social services; and communication and cultural. The regression analysis is used to test the hypotheses. The two-stage least squares technique is used to check for endogeneity issues.

The study finds that firms are less likely to manage real earnings when they have more robust IC and FDR. Likewise, companies with weak ICs are more likely to manipulate real earnings. Besides, the study finds an influence of CEO education on the relationship between IC, FDR and real earnings management (REM). These results can be applied to the sectors in the sample covered by the research, and the authors do not overlook the energy industry sector for the importance of its role in the economy.

There are some limitations for the researcher when performing any research, and this study is no exception. Researchers are urged to take these circumstances into consideration when generalizing or comparing the results because the methods used to calculate the measurement variables in each study may differ somewhat from those used in other research. In addition, expanding the current research design to incorporate additional nations may be an area of interest for future research and could aid in evaluating the effects of nation-specific elements (such as inflation, culture, legal systems and political considerations) on the usefulness of IC and decreasing FDR. Second, the current study focuses on the impact of IC and FDR on REM; this paper does not dissect the “black box” of IC and consider how each element affects earnings management. Future research may need to focus specifically on how effective IC would affect earnings management and precisely what IC mechanisms would discourage the management of earnings.

Helping companies listed in China to make decisions and improve investors’ vision of the results of real companies’ businesses, as well as helping management to avoid falling into debt risk and the consequent effects and manipulation of earnings.

By highlighting the significance of IC and debt risk in enhancing information quality in China, the results contribute to the body of work examining the relationship between IC, FDR and REM. In addition, this study uses a CEO’s education to moderate this link.

This study empirically investigates the impact of directors' and officers' liability insurance on corporate environmental investment.

This paper takes A-share listed firms in the most polluting industries from 2013 to 2019 as the research sample. The authors perform multiple regression analysis to examine the research question, and other approaches such as PSM and Heckman two-stage model are applied to test the robustness of the main results.

The authors find that D&O insurance insured firms significantly decrease the level of corporate environmental investment. The results keep consistent after alleviating potential endogenous concerns. Further analysis shows that the negative association between D&O insurance and environmental investment is more pronounced in firms facing greater environmental pressure and stronger market supervision, and firms located in regions with a rich legal environment.

This research extends the literature on the antecedents of corporate environmental investment and the consequences of D&O insurance.

The study may deepen people's understanding of D&O insurance and inform them of its negative effects. This research sheds light on the potential factor resulting in a relatively low level of corporate environmental investment in China, which has an important policy implication for government to carry out some regulations to make a difference.

Against the backdrop that more importance has been attached to environmental protection globally, this paper is the first study to examine the impact of D&O insurance on corporate environmental investment in the context of the transitional and emerging market-China.

“Metaverse” has become a buzzword in the Chinese stock market. However, it remains unclear whether a firm's metaverse-related announcements will elicit positive stock market reactions. Whether and how stakeholder reactions are influenced by a firm's metaverse-related readiness also needs to be further explored. This study aims to discuss the aforementioned objective.

The authors derived a set of factors based on readiness theory and business ecosystem literature and extend them into the context of the metaverse. The authors used a sample of 642 Chinese listed firms in 2021 to investigate the hypotheses through the event study.

The study’s findings show that metaverse coverage induces a positive stock market reaction, but it is subject to three moderating effects. The authors introduce the novel concepts of IT readiness, ecosystem readiness and digital infrastructure readiness as the moderators. Stakeholders perceive metaverse announcements as overhyped, and stock prices do not fluctuate significantly after a metaverse announcement when the listed firms are not ready to embrace the metaverse.

This study is one of the first that introduces the event study method into the metaverse research, and it reveals that different levels of readiness influence stakeholders' evaluations and reactions to corporate metaverse coverage. This provides empirical evidence on metaverse development in China from the stock market's perspective.

This study aims to investigate whether and how auditors responded to the documented increases in earnings management after split-share structure reform (SSSR) in China, as manifested in auditors’ propensity to issue modified audit opinions (MAOs) after the SSSR. This study further investigates how client importance and auditor size influence auditors’ response to earnings management after the SSSR.

This study adopts logit regression models to investigate auditors’ propensity to issue MAOs to their clients that appear to manage earnings after the SSSR. Initially, including all Chinese publicly listed firms from the CSMAR database, the sample for final analyses consists of 21,904 firm-year observations for 1,290 unique listed firms during the period 2001–2020. The sample period surrounds the implementation of the SSSR, which started in 2005, allowing the examination of auditors’ propensity to issue MAOs after vis-à-vis before the SSSR.

The authors find that non-Big10 auditors in China were less likely to issue MAOs to their economically important clients who appear to manage earnings after SSSR. However, in the years of non-tradeable shares being released to the markets, both Big10 and non-Big10 auditors were less likely to issue MAOs to their economically important clients who appear to manage earnings. The findings suggest that auditors may have compromised auditor independence in response to earnings management after the SSSR, likely due to the pressure from their economically important clients.

This paper contributes to the literature, specifically the practice and theory in auditing, by shedding light on ever-changing auditors’ reporting behaviour, especially with regard to auditor independence. It also adds to the growing body of literature on the impact of institutional changes on auditing practices worldwide. The findings of this study further suggest that the recently documented declining demand for high-quality audits after the SSSR may be motivated by the clients’ intention to manage earnings after the SSSR.