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Status distinctions matter among heterogeneous organizations within a socio-environmental field. This is exemplified in the food waste field, where six types of organizations employ different excess strategies to address the issue. Theoretically, we propose that status is constructed internally through advice relationships and externally through evaluations. We posit that organizations conducting evaluations and advocating legitimate principles based on expertise (i.e., Others) are status winners. Our mixed-method study confirms that Others hold privileged positions and identifies status inconsistencies. By critically illuminating these status dynamics, we contribute to a better understanding of the roles of organizations and status in tackling socio-environmental issues.

This study aims to understand how climatic drivers of change will affect rural communities living in the hot semiarid region of Bhokardan Taluka of Jalna district in the Indian state of Maharashtra. In the context of the economic and social change they are experiencing, the concern is to evolve ways that enable them to cope with, adapt to and benefit from these challenges.

The focus of most of the climate change studies is on the short- to long-term trends of weather parameters such as rainfall, temperature and extreme weather events. The impact of climate variability and changing patterns on the local communities, the local economy, livelihoods and social life in specific geographies is less explored.

As the impacts of climatic and nonclimatic drivers of change are cross-sectoral, diverse, multidimensional, interlinked and dynamic, this study has adopted a transdisciplinary “research-in-use” approach involving multidisciplinary teams covering the aspects such as changes in land use and land cover, surface and groundwater status, edaphic conditions, crops and livestock, climate analysis including projected changes, socioeconomic analysis, people’s experience of climate variability and their current coping strategies and resilience (vulnerability) analysis of communities and various livelihood groups.

The study was based on the peoples’ perspective and recommendation based on the local communities ability to cope up with climate change. However, a statistical analysis perspective is missing in the present study.

Based on these findings, a set of implementation-focused recommendations are made that are aimed at conserving and enhancing the resilience of the foundations that uphold and sustain the social and economic well-being of the rural communities in Bhokardan taluka, namely, land, water, agriculture, livestock, food and nutrition security, livelihoods, market access and social capital.

Food waste (FW) is a significant problem in the hospitality sector worldwide. The Covid-19 pandemic has imposed a health protocol on the hospitality sector to protect the customers and the community. This paper aims to evince a new understanding of the tourist city during the Covid-19 pandemic by exploring the effects of the new health protocol on FW management at the consumption stage in the hospitality sector in Dubai.

In this study, the authors use a scale assessment method and a survey distributed to 202 tables in 35 restaurants offering open buffet catering in Dubai.

The paper’s findings provide evidence that: first, the tourist city has faced substantial changes during the pandemic as the new health protocol imposed by the Covid-19 circumstances has mitigated the waste of food in the open buffet services. Second, the highest waste has been observed for vegetables, followed by grains (especially rice) and bread. The lowest waste has been observed for meat and fruits. Third, FW per table varies considerably by consumer groups. The FW quantity of residents is significantly higher than that of tourists. Family gathering tables with an essential number of children waste more food than the other group types. Fourth, consumers claimed to become more conscious about the quantum of FW as a direct response to the socio-economic circumstances imposed by the lockdown such as food availability, salary reduction, economic uncertainty and employment instability. Fifth, the attitude to keeping food on the plate does not change considerably.

This paper offers many practical implications. Using newly discovered pieces of evidence from practitioners, hoteliers and policymakers, this paper highlights current hospitality practices that can reduce the waste of food in a postpandemic world. Furthermore, our paper suggests a set of actions for restaurants offering open-buffet services to reduce FW at the consumption stage.

This paper adds significance to the extant tourist city literature. The tourist city served as an example of a recent urban development characterized mainly by tourist consumption. This research advances the understanding of FW management and customers’ behavior during the Covid-19 pandemic in an important touristic city “Dubai” and suggests a set of actions.

The purpose of this paper is to demonstrate the efficacy of machine learning (ML) in managing natural language processing tasks, specifically by developing two ML models to systematically classify a substantial number of food waste interventions.

A literature review was undertaken to gather global food waste interventions. Subsequently, two ML models were designed and trained to classify these interventions into predefined supply chain-related groups and intervention types. To demonstrate the use of the models, a meta-analysis was performed to uncover patterns amongst the interventions.

The performance of the two classification models underscores the capabilities of ML in natural language processing, significantly enhancing the efficiency of text classification. This facilitated the rapid and effective classification of a large dataset consisting of 2,469 food waste interventions into six distinct types and assigning them to seven involved supply chain stakeholder groups. The meta-analysis reveals the most dominant intervention types and the strategies most widely adopted: 672 interventions are related to “Process and Operations Optimisation”, 457 to “Awareness and Behaviour Interventions” and 403 to “Technological and Engineering Solutions”. Prominent stakeholder groups, including “Processing and Manufacturing”, “Retail” “Government and Local Authorities” and “NGOs, Charitable Organisations and Research and Advocacy Groups”, are actively involved in over a thousand interventions each.

This study bridges a notable gap in food waste intervention research, a domain previously characterised by fragmentation and incomprehensive classification of the full range of interventions along the whole food supply chain. To the best of the authors’ knowledge, this is the first study to systematically classify a broad spectrum of food waste interventions while demonstrating ML capabilities. The study provides a clear, systematic framework for interventions to reduce food waste, offering valuable insight for practitioners in the food system, policymakers and consumers. Additionally, it lays the foundation for future in-depth research in the food waste reduction domain.

Apples have always been considered a healthy product able to provide curative properties to consumers. In Italy, there is a long tradition of apple consumption and production both as a fresh product and as processed food. However, as with many other products, the consumption of fruits and vegetables and, more specifically apples, has been drastically affected by the first lockdown in 2020. In this project, the authors investigate whether the change in consumption habits had long-lasting consequences beyond 2020 and what are the main eating motivations, food-related behavior and socio-demographic affecting the consumption of fruits and vegetables after the pandemic.

The authors ran two online surveys with 1,000 Italian consumers across a year (from October 2021 to December 2022). In the study, participants answered questions about their consumption habits and their eating motives. Out of 1,000 consumers, the authors included in the final analysis only the participants who answered both surveys, leaving a final sample of 651 consumers.

The results show that participants have allocated more budget to fruit and vegetables after the lockdown than before it. Moreover, consumers reported an average increase in the consumption of apples. However, the increase was more pronounced for people aged between 30 and 50 years old and identified as female. After showing the difference across time, a cluster analysis identified three main segments that differ in their eating motives, place of purchase and area of residence.

Overall, the results contribute to a better understanding of how the global pandemic is still affecting people's daily life. Moreover, the findings can be used to guide the marketing and communication strategies of companies in the food sector.

To the best of the authors' knowledge, this is the first study that investigates changes in the consumption of fruits and vegetables, and, more specifically, apples, in Italy more than one year after the beginning of the COVID-19 pandemic. Moreover, the study proposes a classification of consumers based on their habits in a time frame during which the COVID-19 wave was at its bottom which is not currently present in the literature.

In a world that is more competitive on a global scale, technologically advanced and demanding than ever before, global situations such as climate change, poverty and inequality, health, migration or security are challenging for decision-makers in political, social or environmental contexts. The interplay of these and other tendencies is referred to as wicked problems, as their increasing complexity can often not be understood or distinguished anymore. Too many different crises, such as climate, economic, political or societal crises, are challenging the vulnerability and resilience of political, economic and community-based systems. Accordingly, focussing on battling single challenges without considering the bigger picture or interconnected processes or circumstances has not led to satisfactory results throughout the past decades. In a tourism industry that is traditionally closely interlinked with numerous sectors or stakeholder groups and therefore often associated with these problems, those in responsibility are particularly required to consider various interests and utilise the synergy potentials between the tourism and non-tourism sector. Accordingly, integrative tourism policy-making needs to include many political areas that are relevant within tourism as well as beyond, such as urban or regional development. As a holistic spatial development approach, the ‘ecosystem of hospitality’ (EoH) can facilitate the identification of interfaces between tourism and these political areas and help to foster a cross-stakeholder collaboration.

This chapter examines the explosion in International Humanitarian Law between the US Civil War and World War I. The primary foci are the Hague Conventions on land warfare and the Geneva Conventions for the sick and wounded. This body of treaties is the foundation of IHL and the modern laws of war. Most of central issues in the international laws of war emerge in this period.

This study aims to investigate the motivations behind the issuance of financial instruments with characteristics of equity (FICE), economic consequences associated with their issuance and accounting classifications based on a value-relevance approach.

Using a sample of 169 financial and nonfinancial firms from 10 jurisdictions that adopted International Financial Reporting Standards, the authors use a difference-in-differences econometric approach.

The findings reveal that FICE issuers are more leveraged companies with higher costs of equity and, in some cases, lower effective tax rates. This evidence corroborates the hypothesis that issuers of FICEs seek to increase their book values of equity (accounting treatment as equity) and, simultaneously, generate deductible expenses for tax purposes (tax treatment as liability).

This finding suggests that market participants do not treat these instruments as regular equity but rather as quasi-equity. The findings suggest that a binary classification of FICE as debt or equity may not be the accounting treatment that best represents the underlying economic substance of these contracts. Furthermore, this study reinforces the IASB indication regarding to increase the FICE disclosure to allow stakeholders to better understand the economic essence of these bonds.

This study assesses the economic outcomes and market evaluation of a specific type of FICE that has not been previously studied, which is similar to the examples provided by the IASB in their materials on the subject.

With the rise of mandating climate-related disclosures (CRD), this paper aims to investigate how energy and agriculture markets are exposed to climate disclosure risk.

Using the multivariable simultaneous quantile regression and data from 1 January 2017 to 29 February 2024, the authors examine daily and monthly responses of energy and agriculture markets to climate disclosure risk, energy risk, market sentiment, geopolitical risk and economic policy risk. The sample covers the global market, Australia, Canada, European Union (EU), Hong Kong, Japan, New Zealand, Singapore, the UK and the USA.

The results show that climate disclosure risk creates both positive and negative shocks in the energy and agriculture markets, and the impacts are asymmetric across quantiles in different economies. The higher the climate disclosure risk, the greater impact of crude oil future on the energy sector in North America (Canada and the USA) and Europe (EU and the UK), but no greater effects in Asia Pacific (Australia, New Zealand and Singapore). The agriculture sector can hedge against economic policy and geopolitical risks, but it is highly exposed to climate disclosure and energy risks.

This study timely contributes to the modest literature on the asymmetric effects of climate disclosure risk on the energy and agriculture markets at the global and national levels. The findings offer practical implications for policymakers and investment practitioners in understanding financial effects of mandating CRD to diversify risks depending upon market conditions and policy uncertainty.