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This study aims to determine the influence of corporate governance characteristics on carbon emission disclosure in an emerging economy.

The study is based on S&P BSE 500 Indian firms for the period of 6 years from 2016–2017 to 2021–2022. The panel data regression models are used to gauge the association between corporate governance and carbon emission disclosure.

The empirical findings of the study support the positive and significant association between board activity intensity, environment committee and carbon emission disclosure. This evinced that the board activity intensity and presence of the environment committee have a critical role in carbon emission disclosure. On the contrary, findings reveal a significant and negative relationship between board size and carbon emission disclosure.

The present study provides treasured insights to regulators, policymakers, investors and corporate managers, as the study corroborates that various corporate governance characteristics exert significant influence on carbon emission disclosure.

The current research work provides novel insights into corporate governance and climate change literature that good corporate governance significantly boosts the carbon emission disclosure of firms. Previous studies examining the impact of corporate governance on carbon emission disclosure ignored emerging economies. Thus, the current work explores the role of governance mechanisms on carbon emission disclosure in an emerging context. Further, to the best of the author’s knowledge, the current study is the first of its kind to investigate the role of corporate governance on carbon emission disclosure in the Indian context.

In this study, the authors examine the relationships between market-based regulations and corporate carbon disclosure and carbon performance. The authors also investigate whether these relationships vary across emission-intensive and non-emission intensive industries.

The study sample consists of the world's 500 largest companies across most major industries over a recent five-year period. Country-specific random effect multiple regression analysis is used to test empirical models that predict relationships between market-based regulations and carbon disclosure and carbon performance.

Results indicate that market-based regulations significantly and positively affect corporate carbon performance. However, market-based regulations do not significantly affect corporate carbon disclosure. This study also finds that the association between regulatory pressures and carbon disclosure and carbon performance varies across emission-intensive and non-emission-intensive industries.

The findings of this study have key implications for policymakers, practitioners and future researchers in terms of understanding the factors that drive businesses to increase their carbon performance and disclosure. The study sample consists of only large firms, and future researchers can undertake similar studies with small and medium-sized firms.

The results of this study are expected to help business managers to identify the benefits of adopting market-based regulations. Regulators can use this study’s results to evaluate if market-based regulations effectively improve corporate carbon performance and disclosure. Furthermore, stakeholders may use this study to evaluate and improve their businesses' reporting of carbon disclosure and performance.

In contrast to current literature that has used command and control regulations as a proxy for regulation, this study uses market-based regulations as a proxy for climate change regulations. In addition, this study uses a more comprehensive measure of carbon disclosure and carbon performance compared to the previous studies. It also uses global multi-sector data from carbon disclosure project (CDP) in contrast to most current studies that use national data from annual reports of sample firms of specific sectors.

This study conducts a meta-analysis to investigate the impact of board diversity, independence and size on carbon emission disclosure.

The results of 22 empirical investigations on the association between board qualities and carbon emission disclosure are synthesised using a meta-analysis approach. Inclusion and exclusion criteria are established, and search strategies are devised to locate relevant material. Data extraction entails gathering important information such as the names of the authors, variables and correlation coefficients. Fisher's z-transformation is used to compute and synthesise effect sizes and assumptions, sensitivity testing and subgroup analysis are performed to assess the robustness of the findings.

A substantial association was discovered between board characteristics and carbon emission disclosure. Board independence and gender diversity revealed small to medium-strength positive relationships, whilst board size had a medium-strength positive correlation. The study periods varied from 2011 to 2022, with 2018 having the most studies. However, highly heterogeneous groups were discovered; further subgroup analyses were then carried out to sort out this issue.

Several limitations were recognised due to the limited number of studies and heterogeneity, although subgroup analysis was used to reduce the influence of heterogeneity. To investigate alternate outcomes, more analysis of the heterogeneity level and potential modifications to the model assumptions may be required.

Companies should consider board size, independence and gender diversity when formulating long-term competitive strategies in the climate change movement. These characteristics can aid in bridging information gaps and garnering stakeholder support for carbon-reduction initiatives.

This meta-analysis addresses a gap in the literature by addressing prior studies' conflicting and inconsistent findings on the association between board characteristics and carbon emission disclosure. It employs a rigorous approach and synthesis strategy to provide a thorough and robust understanding of the crucial role of board characteristics in carbon emission disclosure.

The purpose of this study is to examine the impact of carbon performance on carbon disclosure among nonfinancial French-listed firms, while also considering the corporate board’s characteristics as a secondary objective.

This study uses a sample of Société des Bourses Françaises 120 Index (SBF-120) French-listed firms to investigate the effect of multiple carbon performance proxies on carbon disclosure based on random effects models for the period 2010–2021. Generalized method of moments regressions are used to encounter endogeneity problems.

Drawing on stakeholder theory, this paper finds that greater carbon performance leads to greater carbon disclosure. Given the growing societal awareness about climate-change issues, carbon-responsible firms are likely to disseminate relevant carbon-related information through disclosures to respond to the information demands of a varied stakeholder group. Coherent with signaling theory, large firms that undertake carbon-reduction initiatives tend to disclose more information about their enhanced carbon performance to equity participants to distinguish themselves and highlight their decarbonization efforts.

This study offers significant insights given that SBF-120 firms are involved in climate-change activities as a response to the growing institutional and societal pressure to perform better and disclose reliable environmental information in their sustainability reports.

This study examines the effects of corporate governance mechanisms on voluntary corporate carbon disclosure in Bangladeshi firms.

To investigate the association between corporate governance mechanisms and corporate carbon disclosures, this study employs ordinary least square (OLS) methods. To mitigate the potential endogeneity concerns, the authors also introduce firm fixed effect (FE) and random effect (RE). Primarily, the study sample includes 250 firm-year observations over the period 2015–2019 for listed companies on the Dhaka Stock Exchange (DSE) in Bangladesh. Subsequently, corporate governance mechanisms that influence voluntary carbon disclosure were examined using both univariate and OLS models.

The findings of this study suggest that firms with a larger board size and more independent directors have a positive impact on the firm's intensity to disclose carbon-related information. However, no evidence has been found of the existence of an environmental committee, and the presence of female directors on the board tends to be associated with a higher level of voluntary corporate carbon disclosure.

The study offers necessary evidence of the determinants of corporate carbon disclosures, which will be useful for managers, senior executives, policymakers and regulatory bodies. To improve corporate governance practices and formulate separate sets of regulations and reporting criteria, disclosing extensive and holistic carbon-related information obligatory. Further, the outcomes of this study based on Bangladeshi firms can be comprehensive for other developing countries to take precautions to tackle the effect of global climate change.

This study seeks to investigate the impact of board attributes on environmental, social and governance (ESG) performance, along with exploring the mediating role of carbon emissions in this relationship.

To address this objective, the panel data approach was used to analyze the data were collected from 1,621 European companies from 2017 to 2021.

This study shows that board gender diversity, audit committee independence, expertise and board meeting attendance help enhance ESG performance. On the contrary, board size and composition do not affect ESG performance. The findings also showed that board gender diversity, audit committee independence, expertise and board meeting attendance are negatively related to carbon emissions performance. However, board size is related positively to carbon emissions performance. This indicates that the larger boards of directors may have diverse experiences that enhance the environmental performance of companies. Furthermore, the finding showed companies that contribute to lowering carbon emissions are more willing to improve their ESG performance. Also, carbon emissions mediate the relationship between the board's attributes and ESG performance.

The study's results have significant implications for firm managers in enhancing the efficiency of board decisions in determining environmental practices that matter to various groups of stakeholders. In addition, this study provides valuable input to regulators and policymakers regarding strengthening the regulations and controlling tools that enhance environmental performance.

This study aims to examine the reaction of stakeholders (i.e. capital providers) to climate-related corporate reporting. Climate-related corporate reporting is captured by the level of voluntary carbon disclosure, while the recognition and appreciation of capital providers are captured through the cost of equity capital (COE).

This study uses a sample including the 350 largest companies by market capitalization on the London Stock Exchange, UK (FTSE350) from 2015 to 2019. The authors use fixed-effects regression models to examine the effect of climate-related corporate reporting on the COE.

This study finds that voluntary carbon disclosure proxied by carbon disclosure score is negatively associated with COE. This suggests that firms’ superior quality disclosure of carbon information could contribute to a lower COE. This implies that the market and stakeholders positively appreciate the involvement in climate-related reporting by businesses.

The finding provides insights to regulators, investors and other stakeholders in terms of the positive economic implication of actively engaging in reducing climate change impact through voluntary carbon disclosure. These findings also motivate corporates to be proactively involved in climate-related reporting by extending the quality of carbon information disclosure.

The purpose of this study is to determine if blockchain-supported carbon offset information provision and shipping options with different cost and environmental footprint implications impact consumer perceptions toward retailers and logistics service providers. Blockchain and carbon neutrality, each can be expensive to adopt and complex to manage, thus getting the “truth” on decarbonization may require additional costs for consumers.

Experimental modeling is used to address these critical and emergent issues that influence practices across a set of supply chain actors. Three hypotheses relating to the relationship between blockchain-supported carbon offset information and consumer perceptions and intentions associated with the product and supply chain actors are investigated.

The results show that consumer confidence increases when supply chain carbon offset information has greater reliability, transparency and traceability as supported by blockchain technology. The authors also find that consumers who are provided visibility into various shipping options and the product's journey carbon emissions and offset – from a blockchain-supported system – they are more willing to pay a premium for both the product and shipping options. Blockchain-supported decarbonization information disclosure in the supply chain can lead to organizational legitimacy and financial gains in return.

Understanding consumer action and sustainable consumption is critical for organizations seeking carbon neutrality. Currently, the literature on this understanding from a consumer information provision is not well understood, especially with respect to blockchain-supported information transparency, visibility and reliability. Much of the blockchain literature focuses on the upstream. This study focuses more on consumer-level and downstream supply chain blockchain implications for organizations. The study provides a practical roadmap for considering levels of blockchain information activity and consumer interaction.

This study investigates the association between debt overhang and carbon emissions (both direct and indirect emissions) using a sample of US publicly listed firms.

The study applies generalized least squares (GLS) regression analyses to a sample of 2,043 US firm-year observations over a period of 14 years from 2007 to 2020. The methods include contemporaneous effect, lagged effect, alternative measures of carbon emissions and debt overhang, intensive versus non-intensive analysis, channel analysis, firm fixed effects, change analysis, controlling for credit rating analysis, propensity score matching approach, instrumental variable analysis with industry and year fixed effect.

This study's findings reveal that the debt overhang problem increases carbon emissions. This finding holds when the authors use alternative measures of carbon emissions and debt overhang. The authors find that carbon abatement investment is a channel that is negatively impacted by debt overhang, which in turn increases carbon emissions. This study's results are robust for several endogeneity tests, including firm fixed effects, change analysis, propensity score matching approach and two-stage least squares (2SLS) instrumental variable analysis.

The outcome of this research has policy implications for several stakeholders, including investors, firms, market participants and regulators. This study's findings offer insights for investors and firms, helping them allocate resources effectively and make financing decisions aimed at reducing carbon emissions. Regulators and policymakers can also use the findings to formulate policies that promote alternative sustainable finance practices.

The outcome of this research is likely to help firms develop their understanding of the debt overhang problem and undertake strategies that yield a significant amount of funding to invest in reducing carbon emissions.

The paper aims to review prior literature on the impact of audit quality and climate change reporting on corporate performance. It also aims to offer avenues for future research.

Based on the systematic literature review, bibliometric investigation and forest plot, the authors systematized the scientific knowledge from 183 papers.

Earlier studies either focused on audit quality and corporate performance or discussed the link between climate change and corporate performance. However, the way that audit quality and climate change can together influence corporate performance is yet to be examined. The authors fill the gap by examining the possible link between audit quality and climate change and establishing the influence of it on corporate performance from the existing literature.

Because of the immense importance of the company's contribution to climate change, the research findings will open up avenues for future research. In addition, findings will be useful for world policymakers in strengthening or modifying existing corporate responsibility policies.