Search Results (243)

Digital transformation (DT) has emerged as a key strategic lever for enhancing firm resilience and competitiveness, yet its influence on non-productive investment behaviors, such as corporate financial investment, remains underexplored. Existing studies have largely focused on DT’s role in innovation and operational efficiency, leaving a significant gap in understanding how DT reshapes firms’ financial asset allocation. Drawing on a unique panel dataset of A-share main board-listed firms in China from 2011 to 2023, this study provides novel empirical evidence that DT significantly restrains financial investment, with pronounced heterogeneity across ownership types. More importantly, this paper uncovers a multi-layered mechanism: DT enhances the corporate information environment, which subsequently reduces financial investment. In addition, the analysis reveals a moderated mediation mechanism wherein economic uncertainty dampens the information-enhancing effect of DT. Unlike previous research that treats corporate risk-taking as a parallel mediator, this study identifies a sequential mediation pathway, where improved information environments suppress financial investment indirectly by influencing firms’ risk-taking behavior. These findings offer new theoretical insights into the financial implications of DT and contribute to the broader understanding of enterprise behavior in the context of digitalization and economic volatility. Full article

This study uses financial data from 872 Chinese listed companies (2018–2022). It tests the triple dividend effect and threshold effect of China’s environmental protection tax (EPT) using high-dimensional fixed effects models and panel threshold models. We document that (1) EPT creates an environmental dividend for Chinese listed companies. It significantly reduces pollution emissions. A 1-unit tax increase reduces LnTPPE by 2.5%. (2) EPT creates a significant innovation dividend. It forces enterprises to improve the quality of authorized patents. A 1-unit tax increase raises patent technological complexity by 0.79%. (3) EPT creates an economic dividend. It significantly improves firm performance. A 1-unit tax increase raises relative corporate revenue by 38.1%. (4) EPT exerts significant threshold effects on micro-level triple dividend outcomes among Chinese listed companies. A heterogeneity analysis shows significant differences in threshold effects between non-heavily polluting and heavily polluting industries. This study confirms that China’s EPT generates a micro-level triple dividend effect alongside coexisting threshold effects for listed companies. This provides literature references for China to design and implement differentiated policies and offers a quantitative empirical case for implementing globally sustainable EPT strategies. Full article

This study investigates the influence of corporate governance on reducing financial statement fraud (FSF) in Jordanian service and industrial companies listed on the Amman Stock Exchange from 2018 to 2022. To achieve this, the study employed the Beneish M-score model to assess the likelihood of FSF and logistic regression to examine the influence of corporate governance structure on fraud mitigation. The study identified 13 independent variables, including board size, board director’s independence, board director’s compensation, non-duality of CEO and chairman positions, board diversity, audit committee size, audit committee accounting background, number of annual audit committee meetings, external audit fees, board family business, the presence of women on the board of directors, firm size, and market listing on FSF. The study included 74 companies from both sectors—33 from the industrial sector and 41 from the service sector. Primary data was collected from financial statements and other information published in annual reports between 2018 and 2022. The results of the study revealed a total of 295 cases of fraud during the examined period. Out of the 59 companies analyzed, 21.4% demonstrated a low probability of fraud, while the remaining 78.6% (232 observations) showed a high probability of fraud. The results indicate that the following corporate governance factors significantly impact the mitigation of financial statement fraud (FSF): independent board directors, board diversity, audit committee accounting backgrounds, the number of audit committee meetings, family business involvement on the board, and firm characteristics. The study provides several recommendations, highlighting the importance for companies to diversify their boards of directors by incorporating different perspectives and experiences. Full article

This study investigates the impact of environmental, social, and governance (ESG) disclosure on value creation in a balanced panel of 100 non-financial Sharia-compliant firms listed on the Saudi Stock Exchange over the period 2014–2023. The analysis employs a combination of econometric techniques, including fixed effects models with Driscoll–Kraay standard errors, Pooled Ordinary Least Squares (POLS) with Driscoll–Kraay standard errors and industry and year dummies, and two-step system generalized method of moments (GMM) estimation to address potential endogeneity and omitted variable bias. Value creation is measured using Tobin’s Q (TBQ), Return on Assets (ROA), and Return on Equity (ROE). The models also control for firm-specific variables such as firm size, leverage, asset tangibility, firm age, growth opportunities, and market capitalization. The findings reveal that ESG disclosure has a positive and statistically significant effect on firm value across all three performance measures. Furthermore, firm size significantly moderates this relationship, with larger Sharia-compliant firms experiencing greater value gains from ESG practices. These results align with agency, stakeholder, and signaling theories, emphasizing the role of ESG in enhancing transparency, reducing information asymmetry, and strengthening stakeholder trust. The study provides empirical evidence relevant to policymakers, investors, and firms striving to achieve Saudi Arabia’s Vision 2030 sustainability goals. Full article

This study investigates the impact of geopolitical risk, firm characteristics, and macroeconomic variables on the performance of non-financial firms listed on the Egyptian Stock Exchange. The study analyzes a panel dataset consisting of 182 Egyptian firms over the period 2014–2023. Using the panel Generalized Method of Moments (GMM) regression technique, the study examines the effect of geopolitical risk on the return on assets. This study controls for firm characteristics such as liquidity, leverage, and growth opportunities and controls for macroeconomic variables such as inflation and GDP. This empirical evidence investigates the moderating role of FinTech on such relationship. The results reveal a significant and negative relationship between geopolitical risk and firms’ performance. Liquidity, growth opportunities, and inflation show positive and significant impacts. In contrast, leverage and GDP demonstrate significant negative relationships. Remarkably, FinTech moderates the relationship significantly and positively. Therefore, investors ought to proceed with prudence when positioning cash within elevated political volatility. The significant positive moderating effect of FinTech on this connection provides a vital strategic insight: enterprises with enhanced FinTech integration may demonstrate increased resilience to geopolitical shocks. Full article

As Chinese firms play pivotal roles in global supply chains, multinational corporations face increasing pressure to ensure ESG accountability across their sourcing networks. Current ESG rating systems lack transparency in incorporating China’s unique industrial, economic, and cultural factors, creating reliability concerns for stakeholders managing supply chain sustainability risks. This study develops an explainable artificial intelligence framework using SHAP and permutation feature importance (PFI) methods to predict the ESG performance of Chinese firms. We analyze comprehensive ESG data of 1608 Chinese listed companies over 13 years (2009–2021), integrating financial and non-financial determinants traditionally examined in isolation. Empirical findings demonstrate that random forest algorithms significantly outperform multivariate linear regression in capturing nonlinear ESG relationships. Key non-financial determinants include patent portfolios, CSR training initiatives, pollutant emissions, and charitable donations, while financial factors such as current assets and gearing ratios prove influential. Sectoral analysis reveals that manufacturing firms are evaluated through pollutant emissions and technical capabilities, whereas non-manufacturing firms are assessed on business taxes and intangible assets. These insights provide essential tools for multinational corporations to anticipate supply chain sustainability conditions. Full article

Climate change risk has significant impacts on corporate financial activities. Using firm-level data from A-share listed companies in China from 2010 to 2022, we examine how climate risk affects corporate debt financing capacity. We find that climate change risk significantly weakens firms’ ability to raise debt, leading to lower leverage and higher financing costs. These results remain robust across various checks for endogeneity and alternative specifications. We also show that reducing corporate carbon emission intensity can mitigate the negative impact of climate risk on debt financing, suggesting that supply-side credit policies are more effective than demand-side capital structure choices. Furthermore, we identify three channels through which climate risk impairs debt capacity: reduced competitiveness, increased default risk, and diminished resilience. Our heterogeneity analysis reveals that these adverse effects are more pronounced for non-state-owned firms, firms with weaker internal controls, and companies in highly financialized regions, and during periods of heightened environmental uncertainty. We also apply textual analysis and machine learning to the measurement of climate change risks, partially mitigating the geographic biases and single-dimensional shortcomings inherent in macro-level indicators, thus enriching the quantitative research on climate change risks. These findings provide valuable insights for policymakers and financial institutions in promoting corporate green transition, guiding capital allocation, and supporting sustainable development. Full article

One of the key challenges in financial distress data is class imbalance, where the data are characterized by a highly imbalanced ratio between the number of distressed and non-distressed samples. This study examines eight resampling techniques for improving distress prediction using the XGBoost algorithm. The study was performed on a dataset acquired from the CSMAR database, containing 26,383 firm-quarter samples from 639 Chinese A-share listed companies (2007–2024), with only 12.1% of the cases being distressed. Results show that standard Synthetic Minority Oversampling Technique (SMOTE) enhanced F1-score (up to 0.73) and Matthews Correlation Coefficient (MCC, up to 0.70), while SMOTE-Tomek and Borderline-SMOTE further boosted recall, slightly sacrificing precision. These oversampling and hybrid methods also maintained reasonable computational efficiency. However, Random Undersampling (RUS), though yielding high recall (0.85), suffered from low precision (0.46) and weaker generalization, but was the fastest method. Among all techniques, Bagging-SMOTE achieved balanced performance (AUC 0.96, F1 0.72, PR-AUC 0.80, MCC 0.68) using a minority-to-majority ratio of 0.15, demonstrating that ensemble-based resampling can improve robustness with minimal impact on the original class distribution, albeit with higher computational cost. The compared findings highlight that no single approach fits all use cases, and technique selection should align with specific goals. Techniques favoring recall (e.g., Bagging-SMOTE, SMOTE-Tomek) are suited for early warning, while conservative techniques (e.g., Tomek Links) help reduce false positives in risk-sensitive applications, and efficient methods such as RUS are preferable when computational speed is a priority. Full article

This study examines the interplay of financial performance, corporate governance, and sustainability reporting quality (SRQ), addressing the need to enhance corporate transparency and accountability in an emerging market context. Guided by agency and stakeholder theories, this study investigated the effects of board size, independence, diversity, and experience on SRQ, along with the moderating role of governance in the financial performance–SRQ relationship. Using an explanatory research design and quantitative approach, data from 88 listed firms in premier markets from 2015 to 2024 were analyzed using ordered logistic regression. All data were gathered from the Refinitiv Eikon Platform (LSEG), annual reports. Panel GMM regression is used to estimate the relationship to deal with the endogeneity problem. The findings reveal that board size and experience positively influence SRQ, highlighting the role of diverse expertise and seasoned directors in fostering sustainability. Financial performance alone was not significantly associated with SRQ. However, robust governance structures enhanced the translation of financial resources into improved reporting quality. Firm size emerged as a key determinant, with larger firms exhibiting higher SRQ, while financial firms lagged compared to non-financial sectors. This study concludes that corporate governance is pivotal in shaping SRQ, particularly in resource-constrained environments. This study contributes to the literature by bridging governance, financial performance, and sustainability, offering practical insights for policymakers and corporate leaders to improve SRQ through regulatory frameworks and governance reforms. Full article

As participants in sustainable development, corporations face the important and controversial issue of whether they can promote corporate sustainability through environmental, social, and governance (ESG) practices. To address this issue, we examine the relationship between ESG performance and corporate sustainability, measured by green total factor productivity (GTFP). Using a panel dataset of 17,559 firm-year observations from non-financial firms listed on the Shanghai and Shenzhen stock exchanges in China between 2011 and 2019, we employ fixed-effects regression models and two-stage least squares (2SLS) with instrumental variables to empirically test the impact of ESG ratings on GTFP, identify the underlying mechanisms, and examine potential heterogeneity across firms. The results show that higher ESG ratings are significantly associated with increased GTFP. Mediation analysis further reveals that this positive relationship operates through reduced financing constraints and enhanced green innovation. Notably, the mediating role of financing constraints is more pronounced for firms with greater reliance on external capital. Heterogeneity analysis indicates that ESG ratings exert stronger effects in eastern regions, pollution-intensive sectors, and state-owned enterprises. These findings provide empirical support for the role of ESG performance as an effective mechanism to advance corporate sustainability through ethics-driven financial access and innovation capability. Full article

This study investigated how corporate maturity—measured through firm age and lifecycle stage—moderates the value relevance of Environmental, Social, and Governance (ESG) disclosures in a frontier market context, using Bangladesh as a case study. Drawing on panel data from 2011–2012 to 2023–2024 for 86 publicly listed non-financial firms, the study employed a modified Ohlson valuation framework, panel regression analysis, and multiple robustness techniques (2SLS, PSM). ESG disclosure was measured using a researcher-developed index aligned with international reporting standards (GRI, SASB, TCFD, UN SDGs). ESG disclosures are positively associated with firm value, but this relationship is significantly moderated by corporate maturity. Younger firms exhibit a stronger valuation effect from ESG transparency, driven by higher signaling and legitimacy needs. In contrast, mature firms experience a diminished marginal benefit, reflecting routine compliance rather than strategic differentiation. These findings challenge the uniform application of ESG assessment models and suggest the need for lifecycle-adjusted disclosure ratings, particularly in nascent regulatory environments like Bangladesh. Investors and regulators should tailor ESG evaluation criteria by firm age and industry sustainability exposure. Younger firms, often overlooked, may carry outsized ESG signaling value in emerging markets. Enhancing ESG transparency among younger firms can foster greater stakeholder trust, support inclusive growth, and strengthen social accountability in emerging economies. This study contributes to the ESG literature by introducing corporate maturity as a key moderating variable in value relevance analysis. It provides new empirical insights from a developing economy and proposes lifecycle-based adaptations to global ESG rating methodologies. Full article

As freshwater scarcity becomes increasingly severe under climate change, physical water risk has emerged as a critical financial concern for firms in water-intensive industries. This study explores whether and how physical water risk influences firms’ cost of equity, and whether corporate social responsibility (CSR)—both its overall level and structural differentiation—modulates this relationship. Using panel data from 849 Chinese listed companies in water-intensive sectors between 2011 and 2022, we find that physical water risk significantly elevates equity capital costs. While a strong CSR performance buffers this effect, CSR differentiation—reflected in uneven CSR engagement across different domains—undermines or even reverses this moderating role. Additional heterogeneity analyses show that these patterns are more pronounced in large and non-state-owned enterprises. These findings deepen our understanding of how environmental risks are priced in capital markets and offer strategic insights for firms seeking to manage sustainability-related financial exposures. Full article

As ESG practices become increasingly embedded in global capital markets, their impact on firm financing costs remains an open question in emerging economies, where regulatory divergence and rating inconsistency complicate investor perceptions, particularly in China’s rapidly evolving financial environment. This study examines the impact of Environmental, Social, and Governance (ESG) performance on financing costs among Chinese non-financial listed firms, with a focus on the moderating roles of financial regulation and ESG rating divergence. Using a panel dataset of 4493 firms across 33,773 firm–year observations from 2011 to 2022, we employ a two-way fixed effects model, along with Propensity Score Matching and Difference-in-Differences (PSM-DID) techniques, to address endogeneity concerns and enhance causal inference. The findings reveal that improvements in ESG performance significantly reduce financing costs, substantially affecting debt relative to equity. Moreover, the cost-saving benefits of ESG are amplified in industries with stronger regulatory oversight, while high ESG rating divergence undermines these benefits by increasing uncertainty. These results highlight the importance of standardizing ESG rating systems and enhancing regulatory consistency. Such efforts can lower capital costs and improve financial access for firms, particularly in capital-intensive and environmentally sensitive sectors, offering actionable guidance for policymakers shaping disclosure frameworks and corporate managers optimizing ESG investment strategies. Full article

This paper examines the impacts of observed versus uncertain (stochastic) institutional quality of corporate debt financing. This paper compares the impacts of two distinct levels of institutional quality in developed and developing economies. World governance indicators (WGIs) are used as proxies for institutional quality. Stochastic Geometric Brownian Motion (GBM) is used to quantify the institutional uncertainty of WGIs. The results of GLS estimates using a sample of 309 nonfinancial listed firms in G8 countries and 373 nonfinancial listed firms in MENA countries covering the years 2016–2022 show (a) positive (negative) stochastic impacts of voice and accountability (government effectiveness and political stability) on debt financing in the G8 and MENA regions; (b) although potential improvements in institutional quality are shared concerns among G8 and MENA countries, the former outperforms the latter in terms of creditors’ contract protection and enforcement, paving the way for public policy makers in the MENA region to enhance regulations that protect debt contractual obligations; (c) macroeconomic variables have sporadic impacts; GDP growth is significant in G8 but not in MENA countries; (d) the negative impacts of inflation rates are consistent in both regions; and (e) unemployment plays a negative signaling role in the G8 region only. This paper contributes to the related literature by examining the uncertain impact of institutional quality on corporate debt financing. This paper offers implications for policy makers, directing them to focus on institutional endeavors in a way that helps companies secure the debt financing required to support investment growth. Full article

The enhancements of tax policies and their coordination have emerged as a significant way to promote corporate sustainability, especially in developing economies worldwide. Using panel data from Chinese non-financial A-share listed companies from 2009 to 2022, this study empirically explores the promoting effects of corporate income tax (CIT) incentives and environmental protection tax (EPT) levies on corporate ESG performance. We find that the CIT incentive has a notable positive impact on firms’ ESG behavior, acting on the micro-mechanisms of increasing corporate cash flow and reducing agency costs, and its promoting effect is more salient with regard to the social and governance dimensions. This study also traces the interactive effects between the EPT levy and CIT incentive policies, which boost corporate ESG behavior synergistically. Heterogeneity analyses reveal that these effects are more noticeable in manufacturing firms and non-state-owned firms with severe financing constraints. Environmental tests show that CIT incentive policies have positive effects on green technological innovation, and Chinese enterprises are still experiencing relatively serious negative impacts. The conclusions of this study are conducive to providing theoretical support and policy suggestions for encouraging the sustainable development of companies through the policy combination of environmental regulation and tax incentives. Full article