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The purpose of this paper is to examine the determinants of catastrophic household health expenditure in Nigeria, with particular focus on Out-of-Pocket (OOP) health expenditure. Payments for healthcare through OOP are the major means of channeling funds to healthcare providers in many developing countries including Nigeria. It has great consequence on household well-being, especially when it is difficult for household to meet up with spending on other necessity goods.

The demand for health theory provided the theoretical framework. The study used data from 2018/2019 Nigeria Living Standard Survey (NLSS) with catastrophic thresholds of 10 and 25%. A logistic regression model was used, while Pearson chi-squared test was used for models' goodness of fit.

Based on the obtained result using Pearson chi-squared, at 10% threshold of total non-food expenditure, the likelihood of experiencing catastrophic health expenditure increased with secondary education, for those without health insurance and for severely ill or injured by 1.48, 2.57 and 8.70, respectively. It fell for those who consulted patent medicine vendors/chemists for illness or injury by 0.63 compared to orthodox practitioners. Enhancement of post-secondary education and widening the coverage of the available social health insurance would minimise the financial burden on many households.

This paper fulfills the need to examine the determinants of catastrophic household health expenditure on two catastrophic thresholds and two forms of household expenditure.

Of all the deaths associated with disasters, bushfires account for 40% of these fatalities. The resulting fatalities are consequent upon householders’ decision-making, leading to late or non-evacuation from at-risk communities. However, while decision-making is a function of risk perception, this paper aims to investigate householders’ perceptions of bushfire risks following the catastrophic Black Summer bushfires of 2019/2020.

An inductive research approach was adopted. Thirty semi-structured interviews were conducted to elicit qualitative data from southeastern NSW, Australia householders. The data were collected via face-to-face and online Zoom. Each interview was recorded, transcribed using Otter.AI and thematically analyzed with NVivo 12 Pro (Braun and Clarke, 2006, 2019). In addition, inter-rater reliability was done by engaging an independent researcher to code the de-identified data independently. The codes were cross-checked for reliability and adjusted where necessary.

It was found that bushfire risk perceptions were high among the householders in bushfire at-risk communities following the 2019/2020 Black Summer bushfires. High levels of perceptions were recorded among the participants regarding the likelihood of bushfire occurrence, concern for bushfires, severity of bushfires and vulnerability to bushfire threats.

The study’s results do not reflect all householders in the southeastern part of NSW. It was limited to 30 householders who indicated their intentions to participate and are living in the study area. Therefore, future studies should be undertaken with more participants from broader geographical areas, including emergency responders like firefighters, recovery officers and non-government organizations in charge of recovery operations. This study will add to the prioritization of risk perceptions.

All else being equal, elevated bushfire risk perceptions among participants can potentially decrease the fatalities linked with bushfires and their subsequent ripple effects. This holds particularly true when residents opt for early self-evacuation from at-risk communities.

The paper contributes to developing a better understanding of the bushfire risk perceptions underlying the evacuation decision-making of the residents in bushfire at-risk communities in south-eastern NSW of Australia.

The paper contributes to the existing knowledge on bushfire risks by providing insights into residents’ perceptions after the catastrophic 2019/2020 Black Summer bushfires. As a qualitative study, it describes bushfire risk perceptions on four themes: likelihood, concern, severity and vulnerability, which is uncommon in many bushfire studies.

The purpose of this paper is to analyse the association between farm/farmer characteristics and unsubsidized farm insurance premium expenditure in Ireland. The distribution of farm insurance expenditures is wide, and it is important to understand the extent to which individual factors influence demand for different levels of insurance premium.

The quantile regression approach and farm accountancy data from the Teagasc National Farm Survey are used to model the association between farm/farmer characteristics and farm insurance demand in Ireland.

Asset values (livestock, buildings and machinery) are positively associated with total insurance expenditure. Both forestry area and crop area are significantly associated with farm insurance expenditure with a stronger influence on the middle and upper part of the distribution. The interaction between farm income and farmer age is positively associated with insurance expenditure pointing to the importance of farm income protection.

The research is mainly concerned with insuring against substantive risks, which are capable of threatening the asset base and continuation of the farm business. Future research can integrate questions in relation to farm safety and farmer health with research on the economic survival of the farm business.

Farmers in Ireland adopt unsubsidized farm insurance as a risk management tool. This situation is relevant to other EU member states including Belgium, Denmark, Germany and Sweden. The findings can be used to inform stakeholders and policymakers about the relative impact of different factors on insurance expenditure.

Previous research has typically focused on the linear relationship between farm/farmer characteristics and insurance demand without accounting for variability across the size distribution. This research is based on the quantile regression approach where the association between farm/farmer characteristics and farm insurance expenditure can be assessed at different points of the distribution.

The increasing frequency and intensity of the extreme weather events could cause devastating consequences in tourism. Climate change–related extreme weather events and their relation to tourism is an emerging field for education and research. The purpose of this study is to categorize the impact of climate change on tourist destinations with regard to extreme weather-related risks in outdoor recreation and tourism. Managerial implications for policymakers and stakeholders are discussed.

To outline the risks from climate change associated with tourism, this study uses the Prisma analysis for identification, screening, checking for eligibility and finding relevant literature for further categorization.

Based on a thoroughly examination of relevant literature, risks and threats posed by climate change could be categorized into following four areas: reduced experiential value in outdoor winter recreation; reduced value in beach scenery and comfort; land degradation and reduced biodiversity; and reduced value in personal safety and comfort in tourism. It also focuses on the significance of using big data applications in catastrophic disaster management and risk reduction. Recommendations with technology and data analytics to continuously improve the disaster management process in tourism education are provided based on findings of this study.

Primary contributions of this study include the following: providing a summarized overview of the risks associated with climate change in terms of tourist experiential value for educational implications; and revealing the role of data analytics in disaster management in the context of tourism and climate change for tourism education.

The overall objective of this study is envisaged to provide decision makers with actionable insights and access to multi-risk maps for the most in-danger stave churches (SCs) among the existing 28 churches at high spatial resolution to better understand, reduce and mitigate single- and multi-risk. In addition, the present contribution aims to provide decision makers with some information to face the exacerbation of the risk caused by the expected climate change.

Material and data collection started with the consultation of the available literature related to: (1) SCs' conservation status, (2) available methodologies suitable in multi-hazard approach and (3) vulnerability leading indicators to consider when dealing with the impact of natural hazards specifically on immovable cultural heritage.

The paper contributes to a better understanding of place-based vulnerability with local mapping dimension also considering future threats posed by climate change. The results highlight the danger at which the SCs of Røldal, in case of floods, and of Ringebu, Torpo and Øye, in case of landslide, may face and stress the urgency of increasing awareness and preparedness on these potential hazards.

The contribution for the first time aims to homogeneously collect and report all together existing spread information on architectural features, conservation status and geographical attributes for the whole group of SCs by accompanying this information with as much as possible complete 2D sections collection from existing drawings and novel 3D drawn sketches created for this contribution. Then the paper contributes to a better understanding of place-based vulnerability with local mapping dimension also considering future threats posed by climate change. Then it highlights the danger of floods and landslides at which the 28 SCs are subjected. Finally it reports how these risks will change under the ongoing impact of climate change.

COVID-19 was the most catastrophic pandemic in modern history. It has a massive impact on people's lives and a variety of sectors. One of the most impacted sectors is the travel and tourism industry. The tourism business was the first to be severely impacted by the epidemic, which had a wide range of effects on other parts of society. As a result, studying tourists' behavior as a core aspect of this industry and predicting their travel pattern variation after the COVID-19 outbreak has become a critical concern. To understand the damaging effects of this global calamity on tourism, this book chapter focuses on the concerns and perspectives of multiple stakeholders. It conducts a thematic analysis to investigate travelers' perceptions and travel issues after the COVID-19 pandemic.

Railways are a well-known example of complex critical infrastructure, incorporating socio-technical systems with humans such as drivers, signallers, maintainers and passengers at the core. The technological evolution including interconnectedness and new ways of interaction lead to new security and safety risks that can be realised, both in terms of human error, and malicious and non-malicious behaviour. This study aims to identify the human factors (HF) and cyber-security risks relating to the role of signallers on the railways and explores strategies for the improvement of “Digital Resilience” – for the concept of a resilient railway.

Overall, 26 interviews were conducted with 21 participants from industry and academia.

The results showed that due to increased automation, both cyber-related threats and human error can impact signallers’ day-to-day operations – directly or indirectly (e.g. workload and safety-critical communications) – which could disrupt the railway services and potentially lead to safety-related catastrophic consequences. This study identifies cyber-related problems, including external threats; engineers not considering the human element in designs when specifying security controls; lack of security awareness among the rail industry; training gaps; organisational issues; and many unknown “unknowns”.

The authors discuss socio-technical principles through a hexagonal socio-technical framework and training needs analysis to mitigate against cyber-security issues and identify the predictive training needs of the signallers. This is supported by a systematic approach which considers both, safety and security factors, rather than waiting to learn from a cyber-attack retrospectively.

The purpose of this paper is to investigate whether air pollution has significant impact on corporate cash holdings and financial leverage.

The data of 199 firms listed on Istanbul Stock Exchange during the period 2009–2020 is analyzed by using pooled ordinary least squares and two-step system generalized method of moments models.

The results indicate that firms in regions with high air pollution tend to increase cash level. In addition, the positive effect of air pollution on cash level is stronger and more significant for environmentally sensitive firms and firms with low operational and distress risk. The results also show insignificant effect of air pollution on financial leverage.

Firms in regions with high air pollution should conduct proactive environmental protection procedures and enhance their eco-efficiency instead of holding excess cash that could negatively affect financial performance. In this context, policymakers should provide financial facilities to firms located in regions with high air pollution and that have low ability to finance environmental investments. On the other hand, the environmental laws and regulations introduced by regulatory authorities can enhance the economic development and firm performance by decreasing the adverse influences of air pollution on corporate financial policies.

To the best of the author’s knowledge, this research is one of few that examines the impact of air pollution on corporate cash holdings and financial leverage in emerging markets.