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The purpose of this paper is to expand our understanding of the motivations for corporate environmental, social and governance (ESG) reporting.

This paper provides a conceptual exploration of the motivation for corporations to provide ESG reports and proposes deterrence theory and avoidance as a complementary explanatory motivation for such reports.

Within this paper it is argued that part of the motivation for some corporations to increase ESG disclosures is to avoid, or mitigate, the risk of class actions and the associated financial penalties. This paper proposes that in Australia the deterrence impact, and ancillary avoidance behaviour, of civil litigation class action provides a further motivation for improving both corporate ESG disclosure and sustainability performance.

This paper extends the social and environmental accounting (SEA) reporting literature by proposing deterrence theory and avoidance as a corporate motivation for environmental, social and governance (ESG) reporting. Deterrence is proposed as a different, yet complementary, motivation to the oft‐cited variations of stakeholder and legitimacy theory which are dominant in the SEA reporting motivation literature.

India is an emerging economy and one of the preferred investment destinations for environmental, social and governance (ESG) fund issuers. Institutional investors invest retail investors’ money, and hence, it becomes imperative for ESG fund managers to understand the social investment preferences of retail investors. This study aims to compare the Indian socially responsible (SR) investors and conventional investors in terms of their socially responsible investment (SRI) awareness level, opinions about broad and specific ESG issues, investment behavior and demographics. In addition, this paper makes an attempt to have a deeper insight into Indian investors’ behavior toward SRI by segmenting the Indian retail investors based on their SRI awareness level, attitude toward ESG issues and intention to accept lower financial returns, and choices made by them as consumers.

After collecting the data through the survey method an independent t-test is used to compare SR investors with conventional investors. Chi-square has been used to analyze the data related to demographics, and cluster analysis is used to identify segments among Indian retail investors.

The results indicated that Indian SR investors’ SRI awareness level is more, they are more concerned about broad and specific ESG issues, they are more into faith-based investing, and are responsible consumers vis-à-vis conventional investors. As per demographic, SR investors are in the middle age group of 30–40 years, male, hold a postgraduate degree and have an annual income of 10–20 lakhs in comparison to conventional investors. The results of cluster analysis indicated that Indian retail investors can be classified into three groups based on their SRI awareness, intention to sacrifice financial return, attitude toward ESG issues and choices made by them as consumers.

Results have implications for national and international fund managers, policymakers, regulators and society. These results will help mutual fund companies to provide curated SR mutual funds as per the behavior and choice of retail investors and penetrate the Indian investment market more deeply.

This research study contributes to the literature on SRI by identifying the differentiating characteristics of Indian SR and conventional investors and segmenting Indian retail investors on the basis of their SRI awareness, the importance of ESG issues and choices made by them as investors and consumers.

This paper aims to explore any potential link between the corporate issue of a Strategic Lawsuit Against Public Participation (SLAPP) with a changed environmental, social and governance (ESG) reporting focus as part of a complementary communicative legitimation strategy.

A longitudinal content analysis of the annual reports of three sample Australian corporations was undertaken, measuring changes in ESG disclosure levels and disclosure focus around the time a SLAPP was issued by each sample firm.

This paper provides support for the contention that both the number of ESG disclosures and the type of ESG disclosures changed after the sample firms issued SLAPPs.

A number of limitations are identified within the paper, including difficulties identifying when SLAPPs are initiated.

To the authors’ knowledge, this is the first investigation of the relationship between SLAPPs and ESG reporting, and this study helps open up a new area of research into how ESG reporting is used by corporations in a strategic manner.

This study aims to investigate factors that influence the attitudes and intentions of investors towards environmental, social and governance (ESG) stocks in the presence of perceived risk as a moderator.

Data was collected through an online survey method from 341 investors with more than three years of investing experience. Smart PLS was used to analyse the data using two-stage structural equation modelling. First, a measurement model was performed for construct reliability and validity, followed by path analysis (structural model) for hypothesis testing and overall model predictability.

The findings show that both environmental concern (altruistic value) and economic concern (egoistic value) are crucial for the attitude and intention of investors to invest in ESG-backed stocks; however, environmental concern was found to be a more significant predictor of their behaviour, showing evidence of pro-environmental values in the decision-making of utility-seeking individuals. No significant impact of perceived risk was evident as a moderator of the relationship between attitude and intention towards ESG stocks.

The study's findings have implications for fund managers, policymakers, and the government. Values as antecedents were found to be influential in shaping investors’ attitudes and intentions towards the environmental cause. Fund managers could include more ESG-compliant companies in their portfolios, and the government can play an important role in encouraging investors by providing financial incentives. Corporates should also take strategic steps to adopt green production processes to secure long-term, sustainable capital funding.

To the best of the authors’ knowledge, there has been no research done in the field of ESG investing that takes into account the values (both altruistic and egoistic) of investors as potential antecedents of their attitudes and intentions.

This paper aims to examine the relationship between environmental, social and governance (ESG) performance and systemic risk sensitivity of Chinese listed companies. From the consumer loyalty and investor structure perspectives, the relationship between ESG performance and systemic risk sensitivity is analyzed.

Since Morgan Stanley Capital International (MSCI) ESG officially began to analyze and track China A-shares from 2018, 275 listed companies in the SynTao Green ESG testing list for 2015–2021 are selected as the initial model. To measure the systematic risk sensitivity, this study uses the beta coefficient, from capital asset pricing model (CPAM), employing statistics and data (STATA) software.

The study reveals that high ESG rating companies have high corresponding consumer loyalty and healthy trading structure of institutional investors, thereby the systemic risk sensitivity is lower. This paper reveals that companies with high ESG rating are significantly less sensitive to systemic risk than those with low ESG rating. At the same time, ESG has a weaker impact on the systemic risk of high-cap companies than low-cap companies.

The study helps the companies understand the influence of market value on the relationship between ESG performance and systemic risk sensitivity. Moreover, this paper explains explicitly why ESG performance insulates a firm’s stock from market downturns with the lens of consumer loyalty theory and investor structure theory.

The paper provides new insights on the company’s ESG performance that significantly affects the company’s systemic risk sensitivity.

This study investigates the influence of social trust on the attainment of corporate environmental, social and governance (ESG) objectives.

This study conducts panel regression analysis on a distinctive dataset for 2009–2017 on Chinese firms.

The analysis reveals a significant positive association between social trust and firm-level ESG practices. Moreover, the impact of social trust on shaping ESG outcomes is further amplified by factors such as economic growth, corporate governance standards and institutional quality. This relationship remains statistically positive when the authors employ alternative measures and methodologies, such as the instrumental variables, propensity score matching and difference-in-differences approaches. Notably, the results of heterogeneity tests indicate that the Trust–ESG nexus is more prominent for state-owned enterprises and firms with substantial market capitalization, superior profitability and higher leverage.

This study expands the comprehension of the determinants of ESG and underscores the influential role of social trust as an informal institution in enhancing a firm's ESG performance.

The purpose of this study is to investigate whether the corporate environmental, social and governance (ESG) performance of companies is influenced by the barriers and opportunities created by three factors characterising a country’s governance landscape: democracy, political stability and regulatory quality. Additionally, this study separately explains the influence of the three country governance factors on the ESG performance of companies and how they are affected by the profitability of the company.

Fixed effects multiple linear regression is performed on 6,035 firm-year observations drawn from 27 countries relating to 1,207 unique constituents of the S&P Global 1200 index for a five-year period from 2015 to 2019. Clustered standard errors robust to heteroscedasticity and serial correlation are estimated for a specification that includes Refinitiv ESG scores as the dependent variable, selected Worldwide Governance Indicators as the independent variables and several country- and firm-level controls.

The study finds that companies’ ESG performance is higher in countries with a lower level of democracy and political stability, and corporate governance performance is higher in countries with higher regulatory quality. A component-level analysis finds significant variation in the results across the different ESG pillars. Firm profitability moderates the relationship between country-level governance factors and companies’ ESG performance.

The study reveals that national governments can prompt companies to enhance their governance performance, invariably leading to greater engagement in sustainability by improving their regulatory environment and enforcement mechanisms. Thus, the implementation of regulations targeting corporate environmental and social performance is not always needed to prompt better corporate ESG performance.

This study shows that internationalised companies proactively work towards achieving sustainability in countries where the country governance landscape is ineffective and inadequate to enable it.

This study addresses the association between country-level governance and firm-level ESG performance, in contrast to firm-level corporate social responsibility disclosure that has been the focus of prior research. As disclosures can be symbolic and may not reflect actual ESG performance, the results of prior studies examining the relationship between country-level governance performance and corporate social responsibility disclosure is inappropriate to explain the factors affecting the ESG performance of companies.

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.

The current chapter deals with the environmental, social, and governance (ESG) integration issue that should contribute to the higher expected investment returns as different kinds of risk are managed in a better and more sufficient way. The goal is to study the ESG risks integration into the decision-making process and test the results. The research chapter intends to contribute to the existing discussion by evaluating some integration techniques. Following the development of the European Taxonomy, one can expect increased interest in integrating ESG risks into the financial forecast and asset valuation. The current chapter deals with Berger and UniCredit Bank’s (2010) proposal to include the ESG data as factors influencing the foretasted financial data in terms of direct costs (like energy, waste, water, and paper expenses; payments for sick leaves and employees’ turnover costs); externality costs (like CO₂ compliance costs) and opportunity costs (ESG provisions; expenses for board compensations). The chapter provides an overview of some integration approaches and discusses the idea of incorporating the ESG criteria into the stock valuation and portfolio management process. It is evident that the classical value investing approach is no more suitable. Nevertheless, the tested sample does not show significantly different results based on the backtesting. The research results could be interesting for authors preparing research on the field of sustainability and risk management as well as for portfolio managers considering the ESG integration to achieve the positive alpha.

This study aims to conduct an empirical investigation to assess the hedge, diversifier and safe-haven properties of different environmental, social and governance (ESG) assets (i.e. green bonds and ESG equity index) vis-à-vis conventional investments (namely, equity index, gold and commodities).

The authors examine the sample period 2007–2021 using the bivariate cross-quantilogram (CQG) analysis and a dynamic conditional correlation (DCC) multivariate generalized autoregressive conditional heteroskedasticity (GARCH) experiment with several extensions.

The evidence shows that the analyzed ESG investments exhibit mainly diversifying features depending on the asset class taken as a reference, with some potential hedging/safe-haven qualities (for the green bond) in peculiar timespans. Therefore, the results suggest that investors might consider sustainable investing as a new measure of risk reduction, which has interesting implications for both portfolio allocation and policy design.

To the best of the authors’ knowledge, this study is the first that empirically investigates at once the dependence between different ESG investments (i.e. equity and green bond) with different conventional investments such as gold, equity and commodity market indices over a large sample period (2007–2021). Well-suited methodologies like the bivariate CQG and the DCC multivariate GARCH are used to capture the spillover effect and the hedging/diversifying nature, even in temporary contexts. Finally, a global perspective is used.