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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 paper aims to investigate the relationship between corporate environmental, social and governance (ESG) ratings and leverage manipulation and the moderating effects of internal and external supervision.

The authors draw on a sample of Chinese non-financial A-share-listed firms from 2013 to 2020 to explore the effect of ESG ratings on leverage manipulation. Robustness and endogeneity tests confirm the validity of the regression results.

ESG ratings inhibit leverage manipulation by improving social reputation, information transparency and financing constraints. This effect is weakened by internal supervision, captured by the ratio of institutional investor ownership, and strengthened by external supervision, captured by the level of marketization. The effect is stronger in non-state-owned firms and firms in non-polluting industries. The governance dimension of ESG exhibits the strongest effect, with comprehensive environmental governance ratings and social governance ratings also suppressing leverage manipulation.

Firms should strive to cultivate environmental awareness, fulfil their social responsibilities and enhance internal governance, which may help to strengthen the firm’s sustainability orientation, mitigate opportunistic behaviours and ultimately contribute to high-quality firm development. The top managers of firms should exercise self-restraint and take the initiative to reduce leverage manipulation by establishing an appropriate governance structure and sustainable business operation system that incorporate environmental and social governance in addition to general governance.

Policymakers and regulators should formulate unified guidelines with comprehensive criteria to improve the scope and quality of ESG information disclosure and provide specific guidance on ESG practice for firms. Investors should incorporate ESG ratings into their investment decision framework to lower their portfolio risk.

This study contributes to the literature in four ways. Firstly, to the best of the authors’ knowledge, it is among the first to show that high ESG ratings may mitigate firms’ opportunistic behaviours. Secondly, it identifies the governance factor of leverage manipulation from the perspective of firms’ subjective sustainability orientation. Thirdly, it demonstrates that the relationship between ESG ratings and leverage manipulation varies with the level of internal and external supervision. Finally, it highlights the importance of governance in guaranteeing the other two dimensions’ roles by decomposing overall ESG.

This chapter is a study of the impact of environmental, social, and governance (ESG) issues on credit rating in India. It will help issuers, investors, and other market participants understand rating agencies' approach to incorporating the sustainability-related factors in its analysis. This will provide an overall perspective on the considerations that are usually the most important. Under environment considerations, climate change, waste recycling, air pollutants, and natural capital sustainability can be important factors. Social considerations are becoming more and more important among investors and consumers and are raising awareness about prosperous and failing communities. Moreover, COVID-19 pandemic has further highlighted the need for redirecting capital flows toward sustainable activities, making our economy and society more resilient against shocks. Governance factors primarily involve the corporate governance practices prevalent in the entity reflecting the different rights and responsibilities among its different stakeholders management, board of directors, employees, lenders, shareholders, customers, and suppliers. It also encompasses the corporate's business conduct and practices related to transparency and disclosure. This chapter will focus on the contemporary issues of including ESG in credit rating and what are the probable impacts of doing the same.

With favorable rating, companies can access international debt market easily. Moreover a favorable sovereign rating is beneficial for the overall economy of a country as better rating enables the government of the country to access the international debt market. Even capital allocation by foreign institutional investors increases which is beneficial for the equity market too.

The purpose of this study is to develop a method to assess social performance. Traditionally, environment, social and governance (ESG) rating providers use subjectively weighted arithmetic averages to combine a set of social performance (SP) indicators into one single rating. To overcome this problem, this study investigates the preconditions for a new methodology for rating the SP component of the ESG by applying machine learning (ML) and artificial intelligence (AI) anchored to social controversies.

This study proposes the use of a data-driven rating methodology that derives the relative importance of SP features from their contribution to the prediction of social controversies. The authors use the proposed methodology to solve the weighting problem with overall ESG ratings and further investigate whether prediction is possible.

The authors find that ML models are able to predict controversies with high predictive performance and validity. The findings indicate that the weighting problem with the ESG ratings can be addressed with a data-driven approach. The decisive prerequisite, however, for the proposed rating methodology is that social controversies are predicted by a broad set of SP indicators. The results also suggest that predictively valid ratings can be developed with this ML-based AI method.

This study offers practical solutions to ESG rating problems that have implications for investors, ESG raters and socially responsible investments.

The proposed ML-based AI method can help to achieve better ESG ratings, which will in turn help to improve SP, which has implications for organizations and societies through sustainable development.

To the best of the authors’ knowledge, this research is one of the first studies that offers a unique method to address the ESG rating problem and improve sustainability by focusing on SP indicators.

The purpose of this paper is to investigate the relationship between a company’s environmental, social and governance (ESG) performance and its financial performance. This paper also investigates the relationship between ESG performance and a company’s market valuation. This paper provides convincing empirical evidence that delivering superior ESG performance pays off financially.

The financial data and ESG scores of 150 publicly traded companies listed in the Standard and Poor’s 500 index for 2017–2020, comprising 5,750 observations, were collected. STATA was used to run a fixed-effect regression and a weighted least squares model to analyze the panel data.

The results of the empirical analysis suggest that companies with superior ESG performance perform better financially and are valued higher in the market compared to their industry peers. The ESG rating score impacts both return-on-capital-employed as a proxy for financial performance and Tobin’s Q as a proxy for the market valuation of a company.

This study contributes to the existing research on ESG performance and financial performance relationship by providing empirical evidence to resolve confusion in the existing literature caused by contradictory evidence. Taking advantage of worldwide crisis caused by the COVID-19 pandemic, this study shows that a positive relationship between ESG performance and a company’s market valuation holds even during times of unexpected crises. Further, this study contributes to business practitioners’ knowledge by showing that ESG aspects constitute highly relevant non-financial information that impact the market’s perception of a company and that investing in sustainability positively impacts a company’s bottom line.

This paper aims to investigate how a US firm’s political landscape affects the integration of environmental, social and governance (hereafter ESG) measures in CEO compensation contracts, thereby affecting the firm’s ESG performance and credit rating.

Based on the results of state senatorial and presidential elections and the location of a US firm’s headquarters, the authors categorize whether a firm has a political environment that is predominantly Democratic (blue) or Republican (red). The empirical analyses are based on a sample of US firms in the period 2014–2021.

The authors find that firms in blue states are more likely to link CEO compensation to ESG performance measures. Further, the results show that firms in blue states with ESG-linked compensation contracts have better ESG performance. Lastly, the authors find evidence that a firm’s ESG performance has a positive impact on its credit rating, but the impact is weakened if firms in red states link ESG performance to executive compensation.

To the best of the authors’ knowledge, this is the first research that explores how a firm’s political environment affects the use of ESG performance measures in CEO compensation contracts. Furthermore, the authors contribute to the literature by showing evidence that the political environment interacts with the impact of ESG-linked compensation incentives on the firm’s ESG performance and, thus, its credit rating.

The authors examine the effect of split environmental, social and governance (ESG) ratings on information asymmetry, corporate value and trading behavior. The authors test the risk-based hypothesis and the optimism-bias hypothesis on the relationship between diverging opinions and future stock prices. The authors results show that split ESG ratings is positively related to idiosyncratic volatility, an alternative measure for information asymmetry. Further, the negative effect of split ESG ratings on cumulative abnormal return under short-selling constraints is consistent with the optimism bias hypothesis. The authors find a negative relationship between split ESG ratings and the net purchase ratio (NPR) of pension funds. Considering that the NPR is a direct measure of net demand, ESG disagreement may hinder socially responsible investing (SRI) in a firm. This study directly demonstrates the negative effect of ESG disagreement on firm value and investment by Korea's National Pension Service (NPS). The results offer valuable insights into policymakers, as the wide divergence in ESG ratings requires urgent attention to expand SRI.

There is growing recognition that numerous business drivers contribute to financial performance and investment returns but they are not included in a company's profit and loss statements. In the investment industry, these wider sets of value drivers are known as environment-social- governance (ESG) factors. A small number of specialized ESG rating agencies provide information to investors about the extent to which firms' behaviors are socially responsible. However, a major criticism of these rating agencies is the lack of transparency in their methods. This paper aims to examine the issues of subjectivity, transparency and uniformity of ESG ratings by exploring the methods used to assess ethics performance by an Australian rating agency.

A case study was conducted on an Australian ESG rating provider, Regnan. The data for the analysis were sourced from internal Regnan documents.

The paper found that a level of subjectivity is inevitable in ESG ratings and the call for uniformity may inhibit innovation, but these issues can be addressed by increased transparency of the rating methods.

Further research is required to understand what level and, combination of, uniformity and transparency is sufficient to satisfy stakeholder requirements for ESG information.

The discussion of the factors underlying the ethics performance rating may prompt more open and transparent debate on how to assess ethical performance of companies, and increase investor confidence in ESG ratings. It may also provide more direction to companies on how to strengthen their ethical performance.

There is growing recognition that numerous business drivers contribute to financial performance and investment returns but they are not included in a company's profit and loss statements. These “ESG” factors can account for up to 66 percent of the market value of globally listed companies. In response to calls for more transparency on how ESG factors are assessed, and how ethical performance is appraised, this paper attempts to lift the veil on ESG rating methods.

This study aims to examine the combined impact of environmental, social and governance (ESG) ratings on the market and financial performance of Egyptian companies during the period from 2007 to 2016 and, thereby, determines the influence of the recent political revolutions –that broke out in the MENA region in early 2011 – on the association between ESG practices and corporate performance.

The present work uses data from the S&P/EGX ESG index, which is the first of its kind in the MENA region. The ESG index is designed to increase the profile of companies listed on the Egyptian Exchange and is expected to boost the level and quality of ESG practices in the Egyptian context. The sample includes the 100 most active Egyptian companies in the Egyptian Stock Exchange as measured by the EGX 100 index in the financial year that ended in 2016. The sample begins in 2007, concurrent with the start of the ESG index, and ends in 2016. The period from 2007 to 2010 represents the pre-revolution period, and the period from 2012 to 2016 is the post-revolution period.

Firms with high ESG ratings are found to enjoy a better financial and market performance. The authors found some evidence that the influence of ESG ratings on financial performance is more obvious after the revolutions than before the revolutions.

This study provides insights regarding the impact of political events on the market in the Middle East region. Despite its increasing economic and political importance, this region still suffers from inadequate attention in the literature. The present work investigates the variances that evolved out of the events that started in early 2011 and the implications of these events on the market. The results of this study have implications for regulators and investors in the Egyptian stock market. The authors believe that the relatively new S&P/EGX ESG index provides a way to enhance ESG ratings in Egypt.

The results of the present study provide insights for policymakers regarding the usefulness of the sustainability indices.

The present results contribute to the growing literature on the economic consequences of ESG ratings, especially in relation to a context characterized by intense political/revolutionary changes. In particular, this study contributes to the few works that have addressed the economic implications of ESG ratings in emerging markets.

This paper examines the effect of ESG ratings and its dimensions (environmental, social and governance) on the financial performance of JSE-listed firms included in FTSE/JSE Responsible Investment Index.

The paper employs panel data covering 40 JSE-listed firms included in FTSE/JSE Responsible Investment Index between 2015 and 2019. The paper employs the two-stage least squares (2SLS) instrumental variable regression technique to estimate the effect of ESG ratings and its dimensions (environmental, social and governance) on both accounting- and market-based performance indicators.

The results of the two-stage least squares instrumental estimation analysis reveal that investment in ESG initiatives improves both accounting- and market-based indicators of financial performance. Of the ESG pillars, the paper finds environmental initiatives improves firms' financial bottom line and market performance, while a firm's social and governance practices are observed to have no effect on a firm's accounting and market performance measures.

The insights from this study proffers policy implications for firms' management, investors and regulatory authorities.

As far as the authors are concerned, this paper presents the first empirical analysis on the contribution of ESG ratings on financial performance in South Africa.