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This paper aims to examine the effects of corporate governance mechanisms (board chairman independence, board independent director meeting attendance, audit committee size and audit committee meetings) on the environmental, social and governance (ESG) and its individual component disclosures of listed firms in Saudi Arabia.

The study used unbalanced panel data obtained from the Bloomberg data set over 11 years, from 2010 to 2020.

The findings indicate that board chairman independence (BCI) and audit committee size (AC size) have a significant negative and positive association with ESG disclosure, respectively. However, the results show that board independent director meeting attendance (BIMA) and audit committee meetings (AC meetings) do not significantly influence ESG disclosure. Regarding the individual dimensions (components), the results show that only BIMA has a significant negative association with environmental disclosure. Besides, only BCI and AC meetings have a significant positive association with social disclosure. Also, only BIMA and AC size have a significant positive and negative relationship with governance disclosure, respectively.

The study used a sample of 29 listed companies in Saudi Arabia. Each firm has at least four years of ESG disclosures. Besides, the paper considered only four corporate governance attributes, comprising two each for the board and audit committee.

The results provide insights to regulators, boards of directors, managers and investors to enhance ESG and its components’ reporting toward the sustainable operations and better performance of Saudi firms.

This study is among the few that provide empirical evidence on how some essential corporate governance attributes that have not been given adequate attention by prior studies (board chairman independence, board independent directors’ meeting attendance, audit committee size and audit committee meetings) influence not only ESG reporting as a whole but also its individual dimensions (components).

The primary objective of this study is to unveil the relationships that interconnect ESG and three pillars disclosures with technological innovation while also investigating the moderating impact of product market competition. The paper seeks to identify the underlying mechanisms that facilitate technological innovation in sustainable management.

Using data from 8,738 Chinese firms from 2011 to 2019, this study employs quantitative analysis to examine the relationship between ESG disclosure and technological innovation and the moderating effect. Moreover, this study explores the heterogeneous impacts while considering factors such as property rights and firm size.

The findings reveal a positive correlation between ESG disclosure and technological innovation. The study also investigates the moderating role of product market competition and finds that increasing competition mitigates the positive effects of ESG disclosure on technological innovation. Additionally, the conclusions reveal that the relationship between ESG and three pillars disclosures and technological innovation, as well as the moderating role of product market competition, exhibits inconsistency across firms with different property rights and sizes.

This study offers a clear understanding of the relationship between ESG disclosures and technological innovation, and how it varies across businesses of different sizes and ownership structures. It also provides fresh perspectives on the influence of product market competition on this relationship, with implications for strategy development in corporations.

Environmental, social and governance (ESG) disclosure has gained momentum in corporate reporting. Addressing a research gap on the subject, this paper aims to explore the theories involved in ESG disclosure studies, thereby shedding light on the dominant theoretical approaches and emerging perspectives that inform this type of disclosure.

A systematic review of 142 selected accounting studies published up to June 2023 devoted to ESG – and corporate social responsibility (CSR) – disclosure was conducted. The theories underlying these studies were examined through a descriptive performance analysis complemented by a systematic qualitative text analysis using RStudio and QDA Miner software tools.

The study reveals that five dominant theories stand out among the overall 32 found: stakeholder theory first, followed by legitimacy, institutional, agency and signaling theories. Theories are often combined into an integrated theoretical framework. The findings also show an array of minor constructs – many of them unconventional – that offer fresh perspectives for studying ESG disclosure, such as upper echelons, stakeholder salience, cognitive cost and reputation theories, among others.

This paper provides an original literature contribution by offering a comprehensive overview of the mainstream and niche theoretical perspectives underpinning accounting studies focused on ESG disclosure, with a nuanced scope of discussion on the use of ESG/CSR terms.

The purpose of this paper is to provide empirical evidence on the suitability of a Bloomberg Environmental (E), Social (S) and Governance (G) (ESG) disclosure index designed for companies from the USA and to investigate the sustainability quality and stock performance of FinTech companies.

Data from all FinTech and non-FinTech firms in the USA was acquired from Bloomberg to undertake the study and evaluate the suggested hypotheses efficiently. The final sample consists of 1,672 company-year observations from 2010 to 2019. The methodology used ordinary least squares regressions of performance metrics on the Bloomberg ESG disclosure index and its components.

The findings indicated that the Bloomberg ESG disclosure index is a valid proxy for sustainability and has a direct relationship with stock performance. Furthermore, this study suggests that non-FinTech firms outperform FinTech firms in sustainability and stock performance. The findings support stakeholder theory, which suggests that increased disclosure of ESG information will mitigate the agency problem and protect shareholders’ interests.

This study’s findings were significant because the findings emphasised ESG disclosure in FinTech and non-FinTech firms, providing information to academics, legislators, regulators, financial report users, investors, environmental unions, workers, customers and society.

This research is unique as it evaluates ESG practices in both FinTech and non-FinTech firms.

This study aims to examine how woman corporate leadership indicators and environmental, social and governance (ESG) disclosure in listed banks on Ghana Stock Exchange are related.

Data was obtained from the audited annual reports of the banks for the period 2006–2020. Empirical result estimation was achieved using Panel Corrected Standard Errors.

The result revealed that female chief executive officer (CEO), female board chairperson and board gender diversity are associated with higher disclosure of ESG issues in listed banks in Ghana in overall terms. However, in terms of individual disclosures, female board chairperson positively impacts social disclosure, whereas both female CEO and female board chairperson affect governance disclosure positively.

In this era of business where there is much emphasis on green business and investment by various stakeholders for purposes of ensuring business legitimacy, the result implies that banks must consider females to occupy the positions of CEO and board chairperson since that can help to improve ESG performance of banks.

In this era of business where there is much emphasis on green business, socially responsible investment and impact investment by various stakeholders, the result implies that banks must consider improving the representation of women in leadership since that can help to improve ESG performance of banks and hence ability to attract more investors.

To the best of the authors’ knowledge, this is the first study to provide empirical evidence from a developing country perspective in Sub-Saharan Africa that gender of bank leadership has implications for ESG disclosure.

This paper explores how the disclosure quality, measured by the abnormal tone of environmental and social report, may determine the environmental, social and corporate governance (ESG) performance of the firm. This study also investigates the impact of the moderator “board of directors” to explore the extent to which a well-balanced board of directors may affect this association within an impression management strategy.

This work uses a sample of 616 firm-year observations using a sample of French firms indexed on SBF120 index from 2010 to 2017. To test the developed hypotheses, the GLS regression is applied and to control for endogeneity issue and sample selection bias, the authors used, respectively, the two stage least square (2SLS) procedure and the Heckman model.

Findings suggest that a well-balanced board of directors moderates the relationship between the ESG performance and the disclosure quality. The positive effect of abnormal tone management on ESG is weakened by the presence of a good structure of the board, attenuating impression management initiatives.

The research provides evidence of the impact of corporate social responsibility (CSR) reporting quality, in particular disclosure tone management, on the level of ESG performance in the French context. As the board of directors may have a major impact on weakening impression management strategies in particular tone management practices, in order to improve CSR report quality, the authors recommend French companies to ensure a well-balanced board of directors.

This study helps investors to comprehensively evaluate the information disclosed on CSR reports. It unveils that a strong board composition induces better quality of CSR report and brings better ESG performance. Thus, the study results point to the importance of a well-balanced board of directors and the regulation of the narrative disclosure of CSR information.

This study aims to study the response of the stock market to the announcement of compulsory environmental, social and governance (ESG) disclosure regulation in the context of the Indian economy – one of the largest emerging economies. The study also examines the role of carbon sensitivity and pre-ESG disclosure.

Daily stock price data of 940 listed companies has been collected for 276 trading days to compute abnormal returns. The current study is based on event study methodology to analyze the announcement effect of disclosure regulations. Furthermore, to check the robustness of results, cross-sectional regression has been applied to correct for potential heterogeneity.

Results of the event study signify that the equity share market has reacted positively and significantly to the mandatory ESG disclosure regulation. Furthermore, the study also confirms the mitigating role of carbon sensitivity and pre-ESG disclosure as carbon nonsensitive (non predisclosure) firms have witnessed a more intense effect of regulation as compared to sensitive (predisclosed) corporations.

Current findings assist managers in understanding investor perception toward nonfinancial disclosures. Corporate managers can use disclosure as a tool to enhance the firm value and reduce information asymmetry by providing relevant information. Furthermore, policymakers can use the findings of present research to disseminate the advantages of adopting ESG disclosure practices thereby improving the transparency and governance among business firms.

To the best of the author’s knowledge, this study is the first to provide empirical evidence on the market response to compulsory ESG disclosure framework in the emerging context of India. Furthermore, considering the infancy stage of ESG research, the present research contributes to the body of knowledge by empirically testing the disclosure theories.

The purpose of this study is to explore the effect of managerial ability on voluntary environmental, social and governance (ESG) disclosure and assurance. By focusing on managerial ability, this study provides a more nuanced understanding of the factors influencing a firm’s ESG disclosure and assurance practices. This study contributes to a relatively unexplored area of study regarding the role of top management in promoting ESG reporting.

This study draws on a sample of publicly listed firms from 2014 to 2019 in Taiwan and applies the data envelopment analysis method to measure managerial ability. Heckman’s (1979) two-step model is used to estimate the primary models to prevent the results from being affected by possible bias because of self-selection.

The empirical evidence suggests that managerial ability is positively related to voluntary ESG disclosure and intention to seek third-party assurance of the report. Overall, managerial ability determines whether a firm will use voluntary ESG disclosure and assurance as a corporate strategy to respond effectively to stakeholders’ needs. The findings are robust after using alternative measures of managerial ability.

Investors and other stakeholders keen on seeking ESG information offered by companies could find the findings of this study valuable. By better comprehending how managerial competence impacts voluntary ESG disclosure and assurance, stakeholders may be better equipped to hold companies responsible for their ESG disclosure practices and make informed investment decisions.

In the ESG decision-making process, managers with better abilities have a higher tendency to use voluntary disclosure and assurance as a part of the company’s sustainable policy.

Unlike previous studies of the determinant factors of ESG disclosure, which mainly explore factors at the national or corporate level, this study focuses on factors at the individual level (i.e. managerial ability) to fill the gap in the literature. This study also presents empirical evidence that corroborates the idea that managerial competence can influence not only ESG disclosure but also the voluntary assurance of ESG information.

This study investigates the impact of environmental, social and governance (ESG) disclosure on firm financial performance under a mandatory disclosure regime in Hong Kong.

The authors examine the largest 109 firms listed on the Hong Kong Exchange (HKEX) as of the financial year of 2019. The authors use a manually constructed index based on the most current 2019 ESG Reporting Guide launched by HKEX, followed by quantitative statistical methods using a model that follows the valuation framework by Ohlson.

The authors find a significant positive association between total ESG disclosure level and firm financial performance in the main tests. However, when the total ESG scores are partitioned into environmental and social subscores, the results show that only social disclosures are value relevant. Moreover, the results demonstrate that environmental and social subscores are both significant when return on assets (ROA) is used as a dependent variable. Furthermore, the robustness tests show that only qualitative ESG information is value relevant to share prices, while both quantitative and qualitative ESG information are relevant to ROA. In addition, the disclosure quality of annual reports alone is good in explaining the firm financial performance in this study.

This study contributes to existing non-financial reporting literature using hand-collected data as well as examining the firm financial performance of ESG reporting under the mandatory disclosure regime in the Hong Kong context.

Environmental, social and governance (ESG) factors have become increasingly important in investment decisions, leading to a surge in ESG investing and the rise of sustainable investment assets. Nevertheless, challenges in ESG disclosure, such as quantifying unstructured data, lack of guidelines and comparability, rampantly exist. ESG rating agencies play a crucial role in assessing corporate ESG performance, but concerns over their credibility and reliability persist. To address these issues, researchers are increasingly utilizing machine learning (ML) tools to enhance ESG reporting and evaluation. By leveraging ML, accounting practitioners and researchers gain deeper insights into the relationship between ESG practices and financial performance, offering a more data-driven understanding of ESG impacts on business communities.

The authors review the current research on ESG disclosure and ESG performance disagreement, followed by the review of current ESG research with ML tools in three areas: connecting ML with ESG disclosures, integrating ML with ESG rating disagreement and employing ML with ESG in other settings. By comparing different research's ML applications in ESG research, the authors conclude the positive and negative sides of those research studies.

The practice of ESG reporting and assurance is on the rise, but still in its technical infancy. ML methods offer advantages over traditional approaches in accounting, efficiently handling large, unstructured data and capturing complex patterns, contributing to their superiority. ML methods excel in prediction accuracy, making them ideal for tasks like fraud detection and financial forecasting. Their adaptability and feature interaction capabilities make them well-suited for addressing diverse and evolving accounting problems, surpassing traditional methods in accuracy and insight.

The authors broadly review the accounting research with the ML method in ESG-related issues. By emphasizing the advantages of ML compared to traditional methods, the authors offer suggestions for future research in ML applications in ESG-related fields.