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The purpose of this study is to examine determinants of profitability of non-financial firms listed small- and medium-sized enterprises (SMEs) in the UK from 2012 till 2020. It has been argued that profitability plays a key role in economic development and growth. Despite the important role that SMEs play in developed economies like UK, academic research into SMEs profitability determinants in developed countries is not extensive.

The methodologies used include dynamic panel data estimation techniques. Relationship of nine independent variables with profitability was examined. Two models are created using return on assets (ROA) and return on equity (ROE) as dependent variables. Size, age, efficiency, working capital, liquidity, leverage and volatility of the firm represent firm-specific independent variables. Two macroeconomic variables, namely, gross domestic product and inflation are also used as independent variables. Data obtained from Thomson Reuters Data Stream for 93 listed SMEs companies in the UK from 2012 to 2020. Fixed effects, random effects and generalized method of moments were used in data analysis.

All variables showed significant influence on profitability, except liquidity reflecting insignificant impact on profitability in two regression models conducted for 93 firms under study. Efficiency, liquidity and leverage are the only three independent variables with similar impact on both ROA and ROE.

Identifying determinants of profitability will help stakeholders and corporate executive make sound decisions to ensure sustainability and stability at the firm level. This is particularly important given the key role played by SMEs in economic development and growth. The findings of this study would help direct financial management practices to ensure a favorable sustainable organizational performance.

This study differs from previous studies that focused mainly on developing countries; with limited research conducted on profitability of SMEs in developed economies. To the best of the author’s knowledge, this is the first study to examine factors influencing profitability of SMEs in UK. Previous studies concentrated on service sector like insurance and hotel firms.

This study aims to investigate not only the association between corporate environmental, social and governance (ESG) performance and the cost of capital (COC) but also its impact on the company’s idiosyncratic risk. Further, it highlights that companies could manage their risk through sustainability initiatives to achieve a cheaper cost of financing.

Using an extensive Australian sample for the 2007–2017 period from the Bloomberg database, this study conducts a panel (data) regression analysis to examine the impact of the corporate ESG performance disclosure score on the COC and idiosyncratic risk. The robustness of the findings is tested and confirmed in several ways, including a sensitivity test. Furthermore, the instrumental variable approach is used to address potential endogeneity issues.

A favourable association was found between a higher corporate ESG performance disclosure score and cheaper resources financing. The evidence also supports the mitigating impact of corporate ESG performance disclosure score on the company’s idiosyncratic risk as a strong complement for access to a cheaper source of funds. The findings strongly support both hypotheses of this study.

This study extends the current body of knowledge addressing these associations. Further studies should expand the investigation to non-listed or small and medium-sized companies. Additionally, future studies could contribute to the literature by including other moderating variables, such as a country’s cultural environment and diverse economic situations.

An extensive literature review suggests that this study, to the best of the authors’ knowledge, is the first that simultaneously evaluates the impact of corporate ESG performance disclosure on a company’s COC and idiosyncratic risk.

The purpose of this study is to explore the economic impact of financial restatements by major customers on the audit opinion of their suppliers, showing that non-financial information disclosure potentially helps auditors make better assessments.

Using a sample of China’s listed firms from 2007 to 2021, the authors aim to find the relationship between customers’ financial restatements and their suppliers’ audit opinions. Heckman selection model, placebo tests and other robustness checks are used as well.

The findings reveal that customers’ financial restatements have a significant effect on the likelihood of suppliers receiving modified audit opinions. This relationship is pronounced when suppliers face a higher level of financial constraints, exhibit poorer accounting conservatism or receive more negative media coverage. Additionally, this effect occurs through increased business risk and information risk, which heightens auditors’ perceived audit risk. Moreover, the study highlights the influence of switching costs, auditor expertise and restatement severity on this relationship.

Risks originating from customers can spread along the supply chain, emphasizing the necessity for auditors to give heightened attention to both the audited firms and their customer information. Moreover, regulators should carefully consider the important impact of customer information disclosures to maximize the protection of the interests of external information users.

This study not only confirms the crucial role of customer information disclosures in annual reports for stakeholders and auditors but also contributes to the existing literature on customer–supplier relationships.

The relationship between industrial policy and exploratory innovation is imperfect.

The authors use Chinese high-tech enterprise identification policy (HTEP) as a natural experimental group to test policy impacts, spillover effects and mechanisms of action.

First, HTEP promotes exploratory innovation. In addition, HTEP has a greater impact on non-exploratory innovation. Second, HTEP has spillover effects in two phases: HTEP (2008) and the 2016 policy reform. HTEP affects exploratory innovation in nearby non-high-tech firms, and the policy effect decreases monotonically with increasing distance from the treatment group. Third, HTEP affects innovation capacity through financing constraints, technical personnel flow and knowledge flow, which explains not only policy effects but also spillover effects. Fourth, the analysis of policy heterogeneity shows that the 2016 policy reforms reinforce the positive effect of HTEP (2008). By deducting the effects of other policies, the HTEP effect is found to be less volatile. In terms of the continuity of policy identification, continuous uninterrupted identification has a crucial impact on the improvement of firms’ innovation capacity compared to repeated certification and certification expiration. Finally, HTEP has a crowding-out effect in state-owned enterprises and large firms’ innovation.

This paper contributes to the existing literature in several ways. First, the authors enrich the literature on industrial policy through exploratory innovation research. While previous studies have focused on R&D investment and patents (Dai and Wang, 2019), exploratory innovation helps firms break away from the inherent knowledge mindset and achieve sustainable innovation. Second, few studies have explored the characteristics of industrial policies. In this paper, the authors subdivide the sample into repeated certification, continuous certification and certification expiration according to high-tech enterprise identification. In addition, the authors compare the differences in policy implementation effects between the 2016 policy reform and the 2008 policy to provide new directions for business managers and policy makers. Third, innovation factors guided by industrial policies may cluster in specific regions, which in turn manifest externalities. This is when the policy spillover effect is worth considering. This paper fills a gap in the industrial policy literature by examining the spillover effects. Finally, this paper also explores the mechanisms of policy effects from three perspectives: financing constraints, technician mobility and knowledge mobility, which can affect not only the innovation of beneficiary firms directly but also indirectly the innovation of neighboring non-beneficiary firms.

European Parliament adopted a new directive on gender balance in corporate boards when by 2026, companies must employ 40% of the underrepresented sex into non-executive directors or 33% among all directors. Therefore, this study aims to analyze the impact of gender diversity (GD) on board of directors and the shareholders’ structure and their impact on the likelihood of company bankruptcy during the COVID-19 pandemic.

The data sample consists of 1,351 companies for 2019 and 2020, of which 173 were large, 351 medium-sized companies and 827 small companies. Three bankruptcy indicators were tested for each company size, and extreme gradient boosting (XGBoost) and logistic regression models were developed. These models were then cross-validated by a 10-fold approach.

XGBoost models achieved area under curve (AUC) over 98%, which is 25% higher than AUC achieved by logistic regression. Prediction models with GD features performed slightly better than those without them. Furthermore, this study indicates the existence of critical mass between 30% and 50%, which decreases the probability of bankruptcy for small and medium companies. Furthermore, the representation of women in ownership structures above 50% decreases bankruptcy likelihood.

This is a pioneering study to explore GD topics by application of ensembled machine learning methods. Moreover, the study does analyze not only the GD of boards but also shareholders. A highly innovative approach is GD analysis based on company size performed in one study considering the COVID-19 pandemic perspective.

This paper aims to investigate the impact of a firm’s pension insurance contributions (PIC) on its financialization (investment in risky assets) using a sample of Chinese firms.

The authors use a multiple regression model to conduct the analysis.

The findings suggest that a firm’s PIC increases its financialization. Additional analysis suggests that firms with higher PIC are more likely to have lower operating profit and higher financial risk. In addition, the impact of PIC on financialization is more salient when a firm faces high industry competitiveness, holds more cash, has high labor costs and labor intensity or is non-state owned.

The paper adds to the growing literature on the effect of social insurance on corporate policies. The findings complement those related to the relationship between defined contributions and defined benefits retirement plans and corporate policies.

The study contributes to the debate on the merits of financialization. The literature is mixed on the pros and cons of financialization. The results suggest that financialization has an adverse effect on a firm’s performance and risk in the lens of increased PIC.

China has seen a trend of financialization arising from the rapid economic development in the past decade. Moreover, the PIC premiums in China are not trivial. Thus, the significant cost of PIC and the financialization trend suggest that the answer to the research question is timely and meaningful.

Informed by the resource-based view of the firm, dynamic capabilities theory and contingency theory, this study examines the impact of Industry 4.0 (IR4.0) technologies adoption on firm performance (FP) while accounting for the mediating role of innovation ambidexterity (IA) and moderating roles of contextual and methodological factors that drive the performance gains of the phenomenon.

A random-effect model in comprehensive meta-analysis (CMA) is used to synthesize 113 studies in 115 independent samples with 192,188 observations.

This analysis demonstrates that IR4.0 digital technologies are directly related to financial and non-financial performance, disclosing that the performance effect on non-financial is the largest. Moreover, there is a complementary partial mediation role of the impacts of IR4.0 on FP by IA. Furthermore, this focal relationship is moderated by boundary-spanning conditions: contextual factors – firm size, business type, economic development, industry sector and methodological factors – proxy of FP, sample size and study type.

The results imply that IR4.0 produces financial and non-financial benefits by enabling firms to develop dynamic capabilities like innovation ambidexterity, which informs managers and practitioners that unless IR4.0 technologies and IA strategies are combined together to generate superior FP, IR4.0, in and of itself, would produce a less positive impact on FP than the combined impact of IR4.0 and IA. Therefore, managers should focus on converting IR4.0 resources to dynamic capabilities like IA by leveraging open innovation strategies or building IR4.0-based coordination mechanisms by creating cross-unit business synergies.

To the best of the authors' knowledge, per the literature review, this is the first meta-analysis structural equation modeling study on the interplay between IR4.0, innovation ambidexterity and firm performance.

Research on gender and finance finds that women chief executive officers (CEOs) are relatively risk-averse and more ethical than their male counterparts. These differences are often presented as reasons for lower earnings management by firms led by women. A strand of contrasting literature however finds the notions of women being risk-averse and ethical not necessarily true for women occupying top leadership positions as women successful in shattering the glass ceiling adopt behaviors like men. This study attempts to understand the differences between the ethical tendencies of the two genders by examining if CEO power impacts the relation between CEO gender and earnings management.

The authors begin the analysis using standard regressions using the propensity score matched (PSM) samples and examine if CEO power mediates or amplifies relationship between CEO gender and earnings management. The authors use ordinary least squares (OLS) regression approach and instrumental variables (IV) estimation to address the endogeneity concerns.

This study’s results suggest that the relationship between CEO gender and earnings management is mediated by CEO power. The authors find that women CEOs with lower power engage in lower earnings management. However, women CEOs with more power tend to engage in greater levels of earnings management than their male counterparts.

This study contributes the finance literature by showing women leaders successful in occupying top leadership positions are not necessarily more risk averse and more ethical. Less powerful women CEOs are subjected to potentially higher levels of scrutiny and are forced into an environment where they have to be seen as ethical. However, powerful women face the same concerns as their male counterparts and not necessarily more ethical.

In theory, the impact of debt liquidity risk (DLR) on the firm's future growth is ambiguous. This study aims to examine the empirical relationship between the DLR and firms' growth rate using annual data for USA companies from 1976 to 2020.

Given the longitudinal nature of the data, the author uses OLS (ordinary least squares) regression methodology with fixed effects to control for unobserved characteristics that might affect the dependent variable. Instrument variable regression is also used to address the potential endogeneity problem.

The results show that firms having higher DLR, as proxied by more short-term debt, experience lower growth rate. An increase in firms' short-term debt decreases the firms' future growth rate as evidenced by lower assets, revenue and employee growth rate. Moreover, the authors' results show that small firms or firms with more investment opportunities grow fast if the firms take higher DLR. Finally, cyclical firms with higher DLR exhibit lower growth rate during the credit tighten period. The authors' results hold for both the pre-zero lower bound (ZLB) era and ZLB period.

To the authors' best knowledge, this is one of the earliest studies to carefully examine the effects of DLR on firms' growth rate. While prior research finds that firms with higher growth potential, measured by market-to-book (MTB) ratio, use more short-term debt, the authors' research directly addresses whether DLR affects firms' future growth rate. The authors’ findings also help explain why firms with high growth potential use more short-term debt.

Introduction: Why companies pay dividends and the determinants of dividend policy are considered an unresolved dividend puzzle. To reach a consensus over the puzzle, researchers must investigate the factors affecting dividend policy by incorporating all the determinants into a single research effort.

Purpose: We examine the dividend policy determinants of Sri Lankan firms, explicitly focusing on the banking, finance, and insurance (BFI) sectors.

Methodology: This study uses the quantitative approach applying the Generalized Method of Moments (GMM) system to examine the dividend policy determinants by obtaining secondary data from 51 listed BFI organisations in Sri Lanka.

Findings: The analysis disclosed that the variables of changes in revenues, firm size, liquidity, corporate tax, business risk, and profitability have a positive relationship with dividend yield, whereas investment opportunities, leverage, change in revenues, corporate tax, and firm size impact positively on the propensity to pay dividends in BFI organisations in Sri Lanka. Our findings opine that managers in the BFI industries should prioritise changing their dividend policies by paying close attention to factors, such as dividend yield, changes in revenue, firm size, liquidity, corporate tax ratio, business risk, and profitability because the dividend policy is critical to retaining current investors and luring new ones.