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This paper draws on the thinking of the nineteenth-century Italian philosopher and poet Giacomo Leopardi and scholars who studied his thoughts on the relationship between nature and humans. Leopardi's philosophy of nature recognizes the alienness of nature in relation to humankind, thus challenging human governance of the planet. The poet’s thoughts align with the dilemma identified in the Anthropocene literature: who speaks for nature? This dilemma has accounting implications in terms of the frameworks and disclosures to be adopted. Therefore, Leopardi’s thoughts can become the basis for a more articulated and complex understanding of some key concepts and issues at the roots of SEA.

The paper utilizes content analysis to examine four essays by Giacomo Leopardi, which serve as the source of our data.

Leopardi recognizes the alienness of nature with respect to humanity and the voicelessness of nature as a generative of conflict. He also warned of the consequences of human governance that does not take nature’s needs into account. These findings open a discussion on the complex accounting implications of the distance between humanity and nature. They can inspire SEA scholars to change the status quo by developing new accounting frameworks from the perspective of nature and adopting forms of governance of nature that recognize the need to protect it as a voiceless stakeholder.

Through Leopardi’s humanistic and poetic philosophy, the perspective of nature can be infused into SEA studies, thereby promoting the need for a multidisciplinary and complex approach to the discipline.

The purpose of this paper is to investigate the challenges faced by empirical researchers investigating a shift from taxing multinational entities using the arm’s length system to a formulary apportionment system. Theoretically, a shift should increase global tax collections as profits currently attributed to low or no tax jurisdictions are allocated to jurisdictions with true input or output factors and shift the allocation between these countries. Before any jurisdiction seriously contemplated a shift from an arm’s length allocation system to a formulary apportionment regime, however, it would want to estimate the revenue impact of such a change.

The paper systematically analyzes empirical papers that attempt to estimate the effects of formulary apportionment on country and global income revenue collected to determine the challenges faced by researchers.

The paper determines that there are both data and geo-political constraints that relate to (1) the method used to calculate the global profits of a multinational enterprise, (2) whether jurisdictions wish to adopt a global or regional formulary apportionment, (3) the weightings to be given to the factors used in the formulary apportionment, (4) the challenges of measuring sales at destination and the viability of surrogate measurements, (5) whether natural resources should be included in the measurement of the capital input factor, and (6) whether a redistribution objective should be included in the profit allocation formula.

Estimating the changes is challenging both in terms collecting the data needed for the calculations and the choice of design options to be tested. The paper provides synthesized knowledge in relation to the difficulties in estimating the effects of moving to a formulary apportionment model for taxing multinational entities.

This study aims to provide insights into US and Australian analysts' views regarding the relative importance of disclosing the direct method (DM) or indirect method (IM) statement of cash flows and forecasting firm performance.

Evidence is collected from responses to 104 surveys and 52 interviews completed by US and Australian analysts from 2017 to 2022. The survey and interview questions are developed with reference to the literature.

US and Australian analysts believe that the DM format provides incremental benefits compared to the IM for (1) confirming the reliability of earnings; (2) improving earnings confidence; (3) more accurate ex ante forecasts of operating cash flow and earnings; and (4) identifying opportunistic accruals manipulation. Analysts view that DM disclosure can lower firm-level cost of equity, although US interviewees more uniformly expect lower costs of equity under DM disclosure when firms yield low earnings quality. DM disclosure is also more important during unstable economic periods, as proxied by COVID-19.

Limited research currently exists regarding disclosure of the DM or IM and its impact on analysts' forecasting accuracy, earnings quality, economic uncertainty and cost of equity. Previous research has relied on archival research to examine differences between the DM and IM methods and are limited by data availability. Our findings are particularly relevant to the US market with few US firms reporting the DM format.

The COVID-19 pandemic was a shock to the food supply chain without modern precedent. Challenges in production, manufacturing, distribution and retailing led to the highest rates of food price inflation in the US since the 1970s. The major goal of this paper is to describe statistically the impact of the pandemic of food price inflation and volatility in the US and to discuss implications for industry and for policymakers.

We use Bureau of Labor Statistics data to investigate food prices in the US, 2020–2021. We apply 16 statistical approaches to measure price changes and volatility and three regression approaches to measure counterfactuals of food prices, had the pandemic not occurred.

Food price inflation and volatility increased substantially during the early months of the pandemic, with a great deal of heterogeneity across food products and geographic regions. Food price inflation was most pronounced for meats, and contrary to expectations, highest in the western US Forecasting approaches demonstrate that grocery prices were about 7% higher than they would have been without the pandemic as of the end of 2021.

The research on COVID-19 and the food system remains in its nascent stage. As findings on food loss and waste, employment and wages, food insecurity and more proliferate, it is vital to understand how food prices were connected to these phenomena and affected. We also motivate several ideas for future work.

This study aims to explore the process of identifying and defining multiple capitals in the integrated report (IR) of a government-owned tourism company.

Interventionist research was conducted using a case study design. The researcher was directly involved in developing the first IR of Zètema, a heritage and tourism company owned by the Municipality of Rome. The research team analyzed internal reports, business model (BM), strategic plan and marketing plan, and collected data through semistructured interviews and participation in company meetings.

A template based on a step-by-step deductive process to select and define relevant capitals was derived. Following this process, an appropriate form of capital emerged: “cultural capital”. Furthermore, this study emphasizes a novel awareness of the different meanings that capitals can assume as inputs and outcomes of a BM.

This study meets the demand for empirical research that investigates real information in integrated reports intended for those for whom value is created. Thus, the paper contributes to the existing knowledge on integrated reporting by examining the partially explored concept of capital, particularly its identification process. Furthermore, this study provides support to preparers of integrated reports by defining a conceptual reference model for the disclosure of significant capitals and underlining the importance of distinguishing capitals as input or outcome.

Globally, the landscape of corporate carbon disclosures (CCD) is continually evolving as societal, environmental and regulatory expectations change over time. The goal of this study is to examine the challenges faced by Indian firms’ corporate carbon reporting (CCR). The literature recognized the hurdles to reaching net zero emissions and decarbonization, which are equally applicable to carbon disclosure (CD).

The scope 3 emission disclosure barriers (S3EDBs) identified from the literature were ranked, and their relationships were discovered using the “Grey-based decision-making trial and evaluation laboratory” (Grey- DEMATEL) technique.

The key findings are the S3EDBs, the most prominent barriers, their interrelationships and important insights for managers of organizations in prioritizing the action area for scope 3 CD. Eight S3EDBs were categorized in terms of cause and effect, threshold value is calculated as 0.78. “Quality, and reliability of data,” “Government policies and statutory requirement on emission disclosure” and “Traceability and managing supply chain partners” are the most prominent S3EDBs.

The results will help industry people in countries with emerging economies that have significant scope 3 carbon footprints. The managers can plan to deal with top S3EDBs as a step towards decarbonization and ultimately fighting climate change (CC).

This study is one of the first to rank these barriers to CD so that industry practitioners can prioritize their actions. The core contribution of this research is to detect the most significant S3EDBs and their interdependencies.

This study aims to empirically investigate the impact of adopting big data and data analytics (BD&A) on audit quality (AQ).

A questionnaire was distributed among audit practitioners working at audit firms in Egypt and 205 responses were collected. Partial least square structural equation modeling (PLS-SEM) was used to analyze and test research hypotheses.

The results reveal that BD&A has a direct significant positive effect on the audit process (AP) and auditor competence (AC). However, an insignificant impact of BD&A is found on audit fees (AF). In addition, the results indicate that BD&A has significant positive direct and indirect impacts on AQ.

The results of this study will benefit several auditing stakeholders, such as audit firms, audit regulators, novice financial auditors and academic scholars.

This research is one of the earliest to empirically address the role of BD&A in enhancing AQ. It incorporates AP, AC and AF as mediators into a single model to explain the impact of BD&A on AQ. Also, it attempts to provide empirical evidence from a developing country with a less-regulated audit environment.

This paper aims to explore how the term “mental health literacy” (MHL) is defined and understand the implications for public mental health and educational interventions.

An extensive search was conducted by searching PubMed, ERIC, PsycINFO, Scopus and Web of Science. Keywords such as “mental health literacy” and “definition” were used. The publication year ranges from 1997 to 2023.

In total, 17 papers met the inclusion criteria. Three distinct themes characterise the definitions of MHL: cognitive understanding; affective empowerment; and behavioural change. In the mental health educational context, inspiration, transformation and practice can be viewed as three stages for curriculum development.

Despite conducting a systematic literature review, there remains the possibility that certain relevant studies may not have been identified. Specifically, the selection criteria prioritise papers that explicitly addressed MHL.

Traditional educational approaches prioritise knowledge dissemination and attitude change; integrating MHL into mental health well-being curriculum advocates for action-oriented intervention to address mental health challenges.

Understanding different definitions and concepts in a field can be valuable for consolidating shared understandings, highlighting tensions and contradictions, and enhancing communication among researchers. Ironically, perhaps, the process also highlights the provisional nature of these definitions.

The exploration of MHL with three themes of definitions sheds light on the understanding of this concept. Three core themes in MHL definitions guide future curriculum development. This study underscores the importance of prioritise action-oriented intervention in mental health education, emphasising the need to move beyond knowledge dissemination towards transformative practices that promote holistic mental well-being.

This chapter focuses on the US Civil War of 1861–1864, the application of the laws of war to a civil war, and gives great attention to US Army General Order 100 (aka The Lieber Code), the first set of laws to direct and constrain the behavior of troops in the field.