Search Results (848)

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

Recent theoretical and empirical studies highlight that information asymmetry and owner–manager conflict of interest can distort corporate investment decisions. Building on this premise, we hypothesize that superior environmental, social, and governance (ESG) performance mitigates these frictions by (H1) alleviating financing constraints and (H2) intensifying external analyst scrutiny. To test these hypotheses, we examine all Shanghai and Shenzhen A-share non-financial firms from 2009 to 2023. Using panel fixed-effects and two-stage least squares with an industry–province–year instrument, we find that higher ESG performance significantly reduces investment inefficiency; the effect operates through both lower financing constraints and greater analyst coverage. Heterogeneity analyses reveal that the improvement is pronounced in small non-state-owned, non-high-carbon firms but absent in large state-owned high-carbon emitters. These findings enrich the literature on ESG and corporate performance and offer actionable insights for regulators and investors seeking high-quality development. Full article

Based on firm-level data of Japanese listed companies for the period of 2013–2022, this study conducts an empirical analysis to investigate how the issuance of green bonds influences corporate environmental and financial performance. The results show that the green bond issuance demonstrates a reduction in corporate greenhouse gas emission intensity and energy consumption intensity in the long term. Moreover, the issuance of green bonds enhances the financial performance of firms in the long run. However, the positive effect of green bond issuance on corporate environmental and financial performance is significant only among firms that have set specific quantitative environmental targets. In addition, for manufacturing and transportation green bond issuers that have set specific quantitative environmental targets, the improvement in environmental performance is evident in both the long and short term. Full article

Amid intensifying global ESG regulations and the expanding influence of green finance, China’s digital economy policies have emerged as key institutional instruments for promoting corporate sustainability. Leveraging the implementation of the National Big Data Comprehensive Pilot Zone as a quasi-natural experiment, this study utilizes panel data of Chinese listed firms from 2009 to 2023 and applies multi-period Difference-in-Differences (DID) and Spatial DID models to rigorously identify the policy’s effects on corporate ESG performance. Empirical results indicate that the impact of digital economy policy is not exerted through a direct linear pathway but operates via three institutional mechanisms, enhanced information transparency, eased financing constraints, and expanded fiscal support, collectively constructing a logic of “institutional embedding–governance restructuring.” Moreover, disruptive technological innovation significantly amplifies the effects of the transparency and fiscal mechanisms, but exhibits no statistically significant moderating effect on the financing constraint pathway, suggesting a misalignment between innovation heterogeneity and financial responsiveness. Further heterogeneity analysis confirms that the policy effect is concentrated among firms characterized by robust governance structures, high levels of property rights marketization, and greater digital maturity. This study contributes to the literature by developing an integrated moderated mediation framework rooted in institutional theory, agency theory, and dynamic capabilities theory. The findings advance the theoretical understanding of ESG policy transmission by unpacking the micro-foundations of institutional response under digital policy regimes, while offering actionable insights into the strategic alignment of digital transformation and sustainability-oriented governance. Full article

The digital business environment is rapidly evolving with advancements in information technology (IT), increasing the risk of information security incidents. Grounded in the resource-based view and in contingency theory, this study adopts a different approach from prior research by conceptualizing security management activities not as mere risk control mechanisms, but as strategic innovation drivers that can enhance corporate performance (sales revenue and operating profit). The authors develop a research model with six independent variables, including internal and external security management activities, CISO role configuration (independent or dual-role with CIO), and investment levels in IT and information security. The dependent variables include sales revenue and operating profit, with ISMS or ISO certification as a moderating variable. Using information security (IS) disclosures and financial data from 545 Korean firms that have reported their security management activities to the Ministry of Science and ICT, multiple regression and moderation analyses reveal that high IT investment negatively impacts performance, but this effect is mitigated when formal security systems, like ISMS or ISO, are in place. The results suggest that integrating recognized security frameworks into management strategies can enhance both innovation and financial outcomes, encouraging a proactive approach to security management. Full article

Promoting social equity is a global issue, and common prosperity is an important goal for human society’s sustainable development. This study is the first to examine climate risks’ impacts on common prosperity from the perspective of corporate employees, providing micro-level evidence for the coordinated development of climate governance and social equity. Employing data from companies listed on the Shanghai and Shenzhen stock exchanges from 2016 to 2023, a fixed-effects model analysis was conducted, and the results showed the following: (1) Climate risks are positively associated with the common prosperity of corporate employees in a significant way, and this effect is mainly achieved through employee guarantees, rather than employee remuneration or employment. (2) Climate risk will increase corporate financing constraints, but it will also force companies to improve their ESG performance. (3) The mechanism tests show that climate risks indirectly promote improvements in employee rights and interests by forcing companies to improve the quality of internal controls and audits. (4) The results of the moderating effect analysis show that corporate size and performance have a positive moderating effect on the relationship between climate risk and the common prosperity of corporate employees. This finding may indicate the transmission path of “climate pressure—governance upgrade—social equity” and suggest that climate governance may be transformed into social value through institutional changes in enterprises. This study breaks through the limitations of traditional research on the financial perspective of the economic consequences of climate risks, incorporates employee welfare into the climate governance assessment framework for the first time, expands the micro research dimension of common prosperity, provides a new paradigm for cross-research on ESG and social equity, and offers recommendations and references for different stakeholders. Full article

The main objective of this study is to analyse the relevance of financial performance as an accurate predictor of ESG scores for French companies from 2010 to 2022. To this end, Machine Learning techniques such as linear regression, polynomial regression, Random Forest, and Support Vector Regression (SVR) were employed to provide more accurate and reliable assessments, thus informing the ESG rating attribution process. The results obtained highlight the excellent performance of the Random Forest method in predicting ESG scores from company financial variables. In addition, the approach identified specific financial variables (operating income, market capitalisation, enterprise value, etc.) that act as powerful predictors of companies’ ESG scores. This modelling approach offers a robust tool for predicting companies’ ESG scores from financial data, which can be valuable for investors and decision-makers wishing to assess and understand the impact of financial variables on corporate sustainability. Also, this allows sustainability investors to diversify their portfolios by including companies that are not currently rated by ESG rating agencies, that do not produce sustainability reports, as well as newly listed companies. It also gives companies the opportunity to identify areas where improvements are needed to enhance their ESG performance. Finally, it facilitates access to ESG ratings for interested external stakeholders. Our study focuses on using advances in artificial intelligence, exploring machine learning techniques to develop a reliable predictive model of ESG scores, which is proving to be an original and promising area of research. Full article

Demands for companies to comply with environmental, social, and governance (ESG) requirements are growing, and companies are also expected to play a role in promoting sustainable development. For companies to achieve sustainable growth while addressing ESG, it must be understood whether ESG activities promote improved corporate financial performance. We conducted a five-year panel data analysis of 635 Japanese firms from FY 2019 to FY 2023, using the PBR, PER, and ROE financial indicators as the dependent variables and CSR ratings in the human resource utilization (HR), environment (E), governance (G), and social (S) categories as the independent variables. The results revealed that, depending on the combination of ESG field and financial indicators, companies with advanced ESG initiatives had greater financial performance, with some cases showing a nonlinear relationship; differences in the results between manufacturing and nonmanufacturing industries were also observed. For companies to effectively advance ESG activities, it is important to clarify the objectives and results for each ESG category. For policymakers to consider measures to encourage companies’ ESG activities, it is also important to design finely tuned regulations and incentives according to the ESG category and industry characteristics. Full article

China’s internal control framework follows the Committee of Sponsoring Organizations (COSO) framework, emphasizing enterprise risk management and encompassing financial reporting, operations, compliance, and strategies. The authors review research that uses the COSO-based Internal Control Index to assess internal control quality among all publicly listed firms in China. Unlike the binary classification of internal control weaknesses under the Sarbanes-Oxley Act Section 404, this continuous index captures more nuanced variations in internal control effectiveness and provides two key advantages over traditional assessment of internal control over financial reporting (ICFR). First, while financial reporting can enhance a firm’s monitoring and decision-support systems, the underlying information is determined by operations. Thus, internal control over operations has a greater impact on a firm’s performance than ICFR. While U.S.-based research argues that the effects of ICFR extend to operations, the COSO-based index includes operational controls, allowing for a more direct study of internal control effects. Second, many U.S. corporations fail to report internal control weaknesses, particularly during misstatement years. In contrast, the COSO-based index, compiled by independent scholars, avoids managerial incentives to withhold negative internal control information. Covering institutional background and research evidence from China, the authors survey a wide range of internal control studies related to various aspects of enterprise risk management, such as earnings quality, crash risk, stock liquidity, resource extraction, cash holdings, mergers and acquisitions, corporate innovation, receivable management, operational efficiency, tax avoidance, and diversification strategy. Full article

This study examines the influence of ethical leadership on corporate sustainability and financial performance, highlighting the moderating effect of firms’ commitment to the United Nations Sustainable Development Goals (SDGs). Utilizing panel data from 420 automotive companies spanning 2015 to 2024, the analysis applies the System Generalized Method of Moments (GMM) to control for endogeneity and unobserved heterogeneity. All data were gathered from the Refinitiv Eikon Platform (LSEG) and annual reports. Panel GMM regression is used to estimate the relationship to deal with the endogeneity problem. The results reveal that ethical leadership significantly improves corporate sustainability performance—measured by ESG scores from Refinitiv Eikon and Bloomberg—as well as financial indicators like Return on Assets (ROA) and Tobin’s Q. Additionally, firms that demonstrate breadth (the range of SDG-related themes addressed), concentration (the distribution of non-financial disclosures across SDGs), and depth (the overall volume of SDG-related information) in their SDG disclosures gain greater advantages from ethical leadership, resulting in enhanced ESG performance and higher market valuation. This study offers valuable insights for corporate leaders, policymakers, and investors on how integrating ethical leadership with SDG alignment can drive sustainable and financial growth. 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

This study examines the impact of cost stickiness on research and development (R&D) investment and corporate performance in Japanese firms. Additionally, it investigates the moderating effect of managerial overconfidence and financial slack. To do so, we analysed a sample of 4877 observations from Japanese firms listed on the Tokyo Stock Exchange between 2014 and 2020. The results show that cost stickiness generally promotes R&D investment while negatively affecting corporate performance. Further, although managerial overconfidence does not moderate the relationship between cost stickiness and R&D investment, it weakens the negative effect of cost stickiness on corporate performance. Meanwhile, financial slack strengthens the positive impact of cost stickiness on R&D investment, but it does not moderate the relationship between cost stickiness and corporate performance. These findings provide strategic insights into resource allocation behaviour in driving innovation and influencing corporate outcomes in the Japanese market context. Full article

This study investigates the relationship between CEO characteristics and firm performance across emerging and developed economies using both panel regression and machine learning techniques. Drawing on Upper Echelons Theory, we examine whether CEO age, tenure, gender, founder status, and appointment origin influence Return on Assets (ROA), Return on Equity (ROE), and market-to-book ratio. We apply the fixed and random effects models for inference and deploy random forest and XGBoost models to determine the feature importance of each CEO trait. Our findings show that CEO tenure consistently predicts improved ROE and ROA, while CEO age and founder status negatively affect firm performance. Female CEOs, though not consistently significant in the baseline models, positively influence market valuation in emerging markets according to interaction models. Firm-level characteristics such as size and leverage dominate CEO traits in explaining performance outcomes, especially in machine learning rankings. By integrating machine learning feature importance, this study contributes an original approach to CEO evaluation, enabling firms and policymakers to prioritise leadership traits that matter most. The findings have practical implications for succession planning, diversity policy, and performance-based executive appointments. Full article

This study addresses critical Environmental, Social, and Governance (ESG) research gaps in Asia by developing a validated and holistic framework tailored to Taiwanese listed companies. Integrating the Resource-Based View (RBV), Institutional Theory, and Stakeholder Theory, the framework encompasses five key dimensions relevant to ESG commitment: Corporate Governance, Regulatory Pressure, Stakeholder Influence, Financial Performance, and ESG Implementation. This study adopts a two-round Delphi method involving 15 cross-sector ESG experts and uses a 7-point Likert scale questionnaire to validate 40 ESG sub-indicators. The research offers significant theoretical and practical contributions. Academically, it integrates multiple theoretical perspectives, providing a more comprehensive and enriched understanding of the key drivers influencing ESG commitment. It offers robust empirical validation within the specific Taiwanese context, thereby contributing to the body of knowledge in ESG research. Practically, it provides structured guidance for enhancing ESG readiness, empowering companies to implement more effective and impactful ESG strategies, and offers a practical tool for improving ESG performance. Furthermore, this framework’s adaptability positions it as a scalable model for ESG assessment and strategic alignment across Asia, providing valuable insights for policymakers and businesses seeking to advance sustainable development in the region. Full article

This research explores the impact of ownership structure on the financial performance of Leveraged Buyout (LBO) transactions in the MENA region, a key emerging market region. Drawing on agency theory by Jensen & Meckling and the capital structure theory of Modigliani and Miller, the study investigates how different shareholder configurations, particularly managerial equity participation, influence LBO outcomes. Based on a sample of 233 transactions conducted between 2000 and 2023, the research adopts a quantitative methodology grounded in a hypothetico-deductive approach. The analysis focuses on the interactions between managerial ownership, leverage, target firm size, and operational performance. The findings support the agency theory premise that managerial ownership aligns interests and enhances performance, showing a positive relationship between managerial equity stakes and financial outcomes. Conversely, the effect of leverage, central to Modigliani and Miller’s propositions, proves more nuanced, reflecting the region’s unique financial constraints and market imperfections. Firm size, meanwhile, shows no direct correlation with performance improvement. These insights underscore the complex mechanisms behind LBO success in the MENA context and offer practical and theoretical implications, particularly regarding governance practices and institutional frameworks. The study also outlines avenues for future research, including a deeper examination of regional governance dynamics. Full article