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This paper problematizes TCFD (Task Force on Climate-related Financial Disclosures) reporting in a way that demonstrates areas where academic research can contribute towards realizing the transformative potential of this unique form of sustainability accounting in its early stages of development.

The paper proposes a number of research agendas for impactful interdisciplinary research into new forms of corporate reporting of sustainability risks, opportunities and dependencies.

There are several major challenges that both reporting corporations and investors need to address in realizing the potential of TCFD style risks, opportunities and dependencies reporting. Key among these is developing new practices of climate-related scenario analysis and reporting.

There is potential for many different academic research studies to provide solid evidence in helping improve the practical impact of TCFD style sustainability reporting. These impacts may assist in moving corporate policies and actions towards zero carbon.

This is the first agenda-setting paper that addresses the need for, and opportunities of, academic research into TCFD reporting and its potential to transform corporate accounting and reporting of sustainability.

The paper aims to examine the climate change-related disclosure patterns of listed Indian firms and its impact on firm performance. Specifically, it strives to analyse the conformance of the selected firms with the recommendations of the Task Force on Climate-related Financial Disclosures (TCFD) established by the Financial Stability Board of G20 nations.

The study conducts content analysis of the annual reports and/or sustainability reports of 22 selected firms from the energy sector for the period spanning 2018–2019 and 2019–2020 based on the four-fold recommendations of TCFD, namely, governance, strategy, risk management and target and metrics, to compute the overall and respective climate-change disclosure scores. Further, a panel data regression model is used to appraise the impact of such disclosure on the performance of the firms.

The findings of the study indicate that the disclosure level of Indian firms in the energy sector is moderate. The regression results establish a positive relation between climate change-related financial disclosure and firm performance indicating that firms can witness improved financial performance by disclosing more information on climate change.

This is the first study in the Indian context to evaluate the climate change-related disclosure practices of the selected firms based on the TCFD’s recommendations and to trace its association with the performance of the firms. The results of the study shall hence be of relevance for the policymakers and diverse stakeholders.

The purposes of this paper are: firstly, to assess the disclosure related to climate change (CC) by major European banks to understand if the banks have grasped the most substantive aspects of the Task Force on Climate-related Financial Disclosures (TCFD) recommendations and secondly, to evaluate the contribution of a non-traditional committee (i.e. corporate social responsibility (CSR) committee) to TCFD-compliant disclosure.

Using content analysis and ordinary least squares regressions on a sample of 101 European banks, this study sought to investigate completeness, tone and forward-looking orientation of CC disclosure and explore the relationships between CSR committee and previous disclosure aspects.

This study shows that European banks have been able to reach an intermediate level of adequacy of compliance in terms of completeness of information but forward-looking orientation seems to be the aspect that needs the most improvement. The existence of a CSR committee dedicated to sustainability issues seems to constitute the difference between the banks in terms of disclosure. The results highlight vulnerabilities in disclosure and board characteristics relevant for improving CC disclosure.

Firms interested in strengthening stakeholder engagement and capturing strategic opportunities involved in CC should be encouraged to establish a CSR committee and appoint female directors in financial companies. This paper should be of interest to policymakers, governance bodies and boards of directors considering the initiative of corporate sustainable governance complementary to Directive 2014/95/EU on non-financial reporting by the European Commission.

To the best of the authors’ knowledge, no prior study has investigated the relationship between the CSR committee and the application of the TCFD’s recommendations in the European banking industry.

This paper aims to evaluate non-financial reporting (NFR) frameworks insofar as risk reporting is concerned. This is facilitated through analysis of the adequacy of climate- and pandemic-related risk reporting in three industries that are both significantly impacted by the COVID-19 pandemic and are at risk from climate change. The pervasiveness of pandemic and climate-change risks have been highlighted in 2020, the hottest year on record and the year the COVID-19 pandemic struck. Stakeholders might reasonably expect reporting on these risks to have prepared them for the consequences.

The current debate on the “complexity” of sustainability and NFR frameworks/standards is critically analysed in light of the COVID-19 pandemic and calls to “build back better”. Context is provided through analysis of risk reporting by the ten largest airlines and the five largest companies in each of the hotel and cruise industries.

Risk reporting on two significant issues, pandemics and climate change, is woefully inadequate. While very little consideration has been given to pandemic risks, disclosures on climate-related risks focus predominantly on “risks” of increased regulation rather than physical risks, indicating a short-term focus. The disclosures are dispersed across different corporate reporting media and fail to appreciate the long-term consequences or offer solutions. Mindful that a conceptual framework for NFR must address this, the authors propose a new definition of materiality and recommend that sustainable development risks and opportunities be placed at the core of a future framework for connected/integrated reporting.

For sustainable development risks to be perceived as “real” by managers, further research is needed to determine the nature and extent of key sustainable development risks and the most effective mitigation strategies.

This paper highlights the importance of recognising the complexity of the issues facing organisations, society and the planet and addressing them by encouraging robust consideration of the interdependencies in evolving approaches to corporate reporting.

This study contributes to the current debate on the future of corporate reporting in light of two significant interconnected crises that threaten business and society – the pandemic and climate change. It provides evidence to support a long-term oriented and holistic approach to risk management and reporting.

The paper aims to provide companies with a better understanding of the needs of institutional investors to improve the disclosure of sustainability information by companies. The study investigates the changed information needs of institutional investors resulting from the Sustainable Finance Disclosure Regulation (SFDR).

This study uses an internet-based survey instrument amongst institutional investors to gain insights into their needs regarding sustainability information. The authors received 155 responses in total and use descriptive statistics and t-tests to analyse the survey data.

The results demonstrate that the implementation of the SFDR challenges institutional investors, as it affects their decision process. Additionally, the findings still indicate a lack of available corporate sustainability information, making it even more challenging for institutional investors to make appropriate investment decisions. Respondents suggest that information on climate-related risks is more important than the European Union (EU) Taxonomy metrics for meeting the SFDR requirements.

The findings are mainly restricted to the opinion of European investors. However, the evidence contributes to the existing literature by investigating institutional investors' information needs in the new regulatory landscape.

As the study provides insights into institutional investors' needs, reporting companies recognise the relevance of transparently providing sustainability information to be further considered in the investment process of institutional investors despite the regulation. The findings can help regulators develop uniform and global sustainability reporting standards.

This paper is the first to provide evidence on sustainability information requested on the institutional investors' side. The survey gathers primary data from professional investment members unavailable in databases or reports.

The purpose of this paper is to reflect on how climate change risk reporting might evolve in various world regions in the post COVID-19 pandemic era.

Using a multiple-case study approach and adopting an institutional theory lens, we assess whether the pandemic is likely to strengthen or weaken institutional pressures for climate change risk disclosures and predict how climate-related risk reporting will evolve post-pandemic.

The authors find that climate change risk reporting is likely to evolve differently according to geographical location. The authors predict that disclosure levels will increase in regions with ambitious climate policy and where economic stimulus packages support sustainable economic recovery. Where there has been a weakening of environmental commitments and economic stimulus packages support resource intensive business, climate change risk reporting will stagnate or even decline. The authors discuss the scenarios for climate change risk reporting expected to play out in different parts of the world.

The authors contribute to the nascent literature on climate change risk disclosure and identify future directions in the wake of the COVID-19 pandemic.

This paper aims to explore current trends in how companies disclose climate-related risks and opportunities in their financial statements. As part of the authors’ analysis, they examine: whether forward-looking assumptions and judgements are typically considered in reporting climate-related risks/opportunities; whether there are differences in the reporting practices of firms in carbon-intensive industries versus non-carbon-intensive industries; and whether negative media reports have an influence on the levels of disclosure a firm makes.

The authors chose content analysis as their methodology and examined the financial statements published by firms listed on the UK’s FTSE 100 between 2016 and 2020. This analysis is framed by Suchman’s three dimensions of legitimacy, being pragmatic, cognitive and moral.

Climate-related disclosures in the notes and financial accounts of these firms did increase over the period. Yet, overall, the level the disclosures was inadequate and the quality was inconsistent. From this, the authors conclude that pragmatic legitimacy is not a particularly strong driving factor in compelling organisations to disclose climate-related information. The firms in carbon-intensive industries do provide greater levels of disclosure, including both qualitative and quantitative (monetary) content, which is consistent with cognitive legitimacy. However, from a moral legitimacy perspective, this study finds that firms did not adapt responsively to negative media coverage as a way of reflecting their accountability to broader public norms and values. Overall, this analysis suggests that regulatory enforcement and a systematic reporting framework with adequate guidance is going to be critical to developing transparent climate-related reporting in future.

This paper contributes to existing studies on climate-related disclosures, which have mainly examined the ‘front-half’ of annual reports. Conversely, this study aims to shed light on these practices in the “back-half” of these reports, exploring the underlying reasons for reporting climate-related risks and opportunities in financial accounts. The authors’ insights into the current disclosure practices make a theoretical contribution to the literature. Practitioners can also draw on these insights to improve how they report on climate-related risks and opportunities in their financial statements.

This paper aims to quantify the (syndicated) loan exposure to elevated environmental risk sectors of the banking system in the USA, EU, China, Japan and Switzerland at US$1.6tn and to highlight its importance, which ranges from 3.8 (USA) to 0.5 per cent (China) in terms of total national banking assets. The paper highlights the relevance of exploring prudential policy responses, including a harmonized taxonomy, statistical and reporting framework that could contribute to internalizing the negative externalities associated with climate risks by both banks and their supervisors. Among the prudential supervisory tools, credit registers facilitate the assessment of environmental risk drivers in “carbon stress tests.” This paper also presents a framework of analysis for the regulatory treatment of climate-related risks.

Similarly to Weyzig et al. (2014), this paper uses financial databases on the banks’ role as book runners for syndicated loans; that is, as the lead arrangers who also provide a large share of the actual lending. Loans are outstanding on December 31, 2014, and the paper assumes linear amortization of loans issued before that date and with maturity after that date. This study includes the largest banks from the above-mentioned countries with financial information available in SNL Financial and EU banks with financial information available in the ECB database on December 31, 2014. By assessing the relative share of the ten largest (or total reporting if less) banks’ exposure to each high environmental risk sector in relation to their total assets, these findings can be extrapolated across sectors in the respective country.

This paper quantifies the loan exposure to elevated environmental risk sectors of the banking system in the USA, EU, China, Japan and Switzerland in US$1.6tn, broadly in line with the findings of Battiston et al. (2017) and Weyzig et al. (2014). This paper also explores prudential policy approaches and tools. In addition to the lack of taxonomy of “brown” vs “green,” the paper identifies the limitations to assess the risks involved in the transition to a low-carbon economy: supervisory reports that do not make full use of the existing international statistical framework (e.g. EU COREP and FINREP); lack of harmonized reporting requirements of environmental risks; lack of credit registers as tools to perform carbon stress-testing; and supervisors’ governance framework that do not internalize environmental risks (e.g. proposed revision of the Basel Core Principles of Banking Supervision). As per the stress-testing, the paper presents two examples. The paper presents a framework of analysis for the regulatory treatment of climate-related risks. The author identifies two critical elements of such framework if prudential regulation of environmental risks is to be considered: the consideration or not of climate risk as credit risk and the impact of environmental risks over probabilities of default over the entire business cycle.

No internationally accepted “official” taxonomy of high environmental risk sectors exists. This paper uses Moody’s (2015a) classification of sectors according to their environmental risk exposure. This paper’s exposures do not reflect the real risk exposure of these institutions and the banking industry as a whole because, as explained in Page 6, these values are without regard to bilateral loans and guarantees and securitizations of loans; in the case of loans to power generation companies, renewable sources are not excluding and, similarly, for the production of electric vehicles, loans are not excluded. Furthermore, this paper does not assess banks’ exposures to sovereigns subject to high environmental risks and bonds and equity issued by corporations operating in high environmental risk sectors.

Contribution to the present policy debate on how to regulate banks’ exposure to high environmental risk and how to manage the transition to a low-carbon economy.

This paper can increase awareness of the banking sector transition risks to a low-carbon economy.

This paper quantifies banks direct exposures to high environmental risk sectors using an ample definition of sectors exposed to environmental risk. The author suggests policy actions to assess the environmental risks. The author defines a regulatory framework for banks to internalize the negative externalities of environmental risks.

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.