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This chapter evaluates whether disclosures on global warming by companies from the European Union are more extensive than disclosures by Japanese and Canadian firms. The study is based on disclosures made on websites, annual reports, social, environmental and sustainability reports and on a questionnaire developed by the Carbon Disclosure Project by 282 of the largest firms from these countries. Content analysis is utilized to asses their disclosures. The results indicate that the EU firms make significantly less global warming disclosures than firms from Japan or Canada. We also find no relation between the changes in carbon emissions and global warming disclosures indicating that these disclosures do not truly reflect emission performance. These findings suggest that the EU requirements of reducing GHG pollution have not improved GHG disclosures. Regulatory disclosure requirements may be the answer to improve disclosures.

In this chapter, we conduct a metadata analysis of articles published in accounting, business and finance journals ranked by Australian Business Dean Council (ABDC), and benchmarked against the Chartered Association of Business Schools (ABS) ranking, that discuss firm- and country-level greenhouse gas (GHG) emission practices and reporting. Number of publications on GHG research, research methods, number of citations and ratio, across countries and continents are some of the topics we cover. We employ a list of articles on accounting, business and finance journals ranked A* and A in the ABDC journal rankings from 2015 to 2022. The study uses a structured literature review to analyse 74 papers on GHG reporting practices at the firm- and country level. Although this line of enquiry is still nascent and developing, the study found underrepresentation of Africa and the Middle East in GHG literature generally. In addition, majority of the articles examined also concentrate on quantitative methods. Most of the articles on GHG research are A-ranked in the ABDC ranking scheme. It was also found that few studies focus on the countries and companies with the highest emissions. While there has been some progress in interrogating GHG across the globe, there is still much room for further research. A key area of future research is exploring the GHG reporting practices in the African and the Middle Eastern sub-regions. There is also a need to examine countries and companies with high emissions. A further study needs to explore the benefits of other research methods in addition to quantitative methods, as different research methods could yield different insights that would enhance research-based conclusions.

The purpose of this chapter is to investigate the relationship between corporate governance and greenhouse gas (GHG) disclosures using evidence from the United States.

The study is based on a sample of 168 firms listed on the New York Stock Exchange (NYSE) in the United States. Panel data are used covering a period from 2017 to 2020 involving 672 observations.

The results indicate that board size has a positive and significant effect on GHG disclosures while the effect of ownership concentration and insider ownership is negative and significant. The proportion of non-executive directors is not significant. In terms of control variables, firm size and financial slack have a positive effect on GHG disclosures.

The study results add evidence to the already existing literature on the relationship between corporate governance and GHG disclosures using evidence from the United States.

It is an established document at the global level that more environmental pollution is associated with more growth of the output for some economies, and on the other hand, more pollution is associated with low growth of output in some other economies. Having the scenario of massive climate change, the global policymakers have been experimenting with drastic reductions in the use of energy and fossil fuels within the target year on 2030 for some countries and 2050 for other countries. The negative impacts of the environmental pollution and the pollution abating targets influence the decision-making processes of the households and business houses around the world. There is thus a potential nexus between the emissions of different greenhouse gases (GHGs) and consumers' and business sentiments in taking optimum decisions. Under this background, this chapter aims to investigate whether GHG emissions and consumers' and business sentiments have any association and interplays for the period 1998–2019 using appropriate econometric exercises. The correlation shows positive results with consumers' sentiments in some developing countries but negative results with business sentiments in some developed countries. Further, there are long-run relationships of GHG with consumers' sentiments and business sentiments in some countries with the mixed results of causal interplays.

Global warming is a process that takes place 11,500 years after the end of the last Ice Age. The main identified reason is the increased emissions of greenhouse gases (GHGs). Since the nineteenth century, GHG evolution has recorded a quantum leap from the previous linear development. Human is the main factor behind this evolution, through industrialization and the exponential increase of population. Based on these, the chapter’s primary goal was to highlight an original method of predicting the future evolution of GHG emissions in the domains of Energy (including Transportation), Industry Processes and Product Use, Agriculture, and Waste Management. The novelty of the research consisted of testing several variants of functions (power, exponential, inverse trigonometric) to identify, from a group of variants. This optimal function would generate those predictions, which are closest to the real values. The causes that create GHG emissions in each of the four domains were the foundation for the analysis. This chapter focuses on two main subjects: first, the identification of a smooth function to predict the evolution of GHG emissions, and second, the function’s use to estimate the projections of GHG emissions in the coming years for the four domains: Energy (including Transportation), Industry Processes and Product Use, Agriculture, and Waste Management. An observation was that the weights of these four domains remain relatively the same despite the reductions in the total GHG emissions.

This chapter explores the issues in estimating the greenhouse gas (GHG) emissions from the tourism industry and related activities in Australia. A production-based approach is employed and its rationale is explained. The scope of tourism consists of the economic activities of tourism-characteristic and tourism-connected sectors as defined in the Australian Tourism Satellite Account (TSA). The GHG emissions have been estimated for 2003–04, the latest year for which detailed industry GHG emissions data are available in a form suitable for this type of estimate. Tourism's GHG emissions are compared with other industries in the Australian economy. The policy implications of the results are discussed. It should be possible to adopt a broadly similar method for any destination with a TSA, enabling tourism stakeholders to play an informed role in assessing appropriate climate change mitigation and adaptation strategies for their destination.

This chapter outlines the need for global actions on mitigating greenhouse gas (GHG) emissions and introduces the six chapters contained in this issue. The impact of GHG emissions on the environment undoubtedly exacerbates the consequence of climate change and is not constrained within the borders of the emitting countries and companies. Emitting countries (and companies) export much of the harm created by GHG emissions given that the earth's atmosphere intermixes globally. GHG top emitters are not necessarily the victims of its consequences, since the extent to which each country is affected by adverse weather such as floods depends on the distribution of climate vulnerability rather than jurisdictional emission. Hence, global collective actions are required to find plausible solutions to reduce GHG emissions. This issue consists of one literature review and five empirical chapters. The insight from the literature review highlights the dearth of studies addressing GHG emissions reporting and management in Africa and the Middle East. The first three empirical chapters examine the efficacy of corporate governance in facilitating GHG disclosures and performance in China, the United States and India. The fifth chapter examines the effect of the Paris Agreement on climate change disclosures in South Africa. There is mixed evidence as to how corporate governance affects GHG disclosure, but it is clear that the Paris Agreement had a positive impact on climate change disclosures in South Africa. The sixth chapter examines the social determinants of GHG in top 100 emitting countries and documents evidence that energy use determines the extent of GHG emissions in both developed and developing countries. However, the results show that other social determinants such as urbanisation, literacy and corruption contribute in varying ways to GHG emissions in developing countries. Taken together, the collection of chapters in this issue provides incremental understanding to the effect of GHG emissions and necessary actions that can help in mitigating them.

Greenhouse gas (GHG) emission has a detrimental impact on climate change. There is an increasing trend for firms to use disclosure to signal stakeholders about its environmental responsibilities and performance in dealing with climate change. China is one of the countries producing the most carbon emissions. Over the last decade, Chinese state-owned enterprises (SOEs) are becoming important players in international trade. However, the existing literature provides limited evidence on how Chinese SOEs influence GHG disclosure. Through the lens of stakeholder–agency theory, this chapter studies the top 300 listed firms to examine the relationship between Chinese SOEs and the likelihood of GHG disclosure. The result suggests a negative relationship between Chinese SOEs and the likelihood of GHG disclosure. This could be explained as a consequence of the managers' political self-interests, economic and policy-oriented decision-making process and the power differentials between the government and SOE managers. This research extends the GHG literature to Chinese SOEs context, providing direct evidence on how state ownership impacts on GHG disclosure.

This chapter investigates the social determinants (urbanisation, population, literacy and corruption) of greenhouse gas (GHG) emissions in the top 100 developed and developing emitting countries. The data were collected from central repositories for the different variables explored for the period 2012–2020 in a cross-country analysis. Fixed effects ordinary least squares (OLS) regression was used to analyse the data. The results for all top 100 countries and developing countries show that urbanisation and corruption are significantly positive and negative determinants of GHG emissions, respectively. In addition, literacy is a significant positive determinant of GHG emissions in developing countries but not in the top 100 and developed countries. Population is not significant in the top 100 developed and developing countries. The results for the control variables suggest that primary energy consumption is a positive significant determinant of GHG emissions in the top 100 developed and developing countries. However, gross domestic product (GDP) is not a significant determinant of GHG emissions. The findings have important policy implications.