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In a largely exploratory study, the authors investigate: how do managers’ experiences with exogenous hazards (e.g., natural disaster risk) affect their identification of those hazards as salient to the firm? This analysis is based on an international survey of 575 managers across 18 disaster-prone countries. The authors examine whether and how locational hazard risk and managerial experience influence the identification of natural disaster risk as an important firm issue. The authors find that locational natural hazard risk, and direct and indirect experience with natural disasters, increases the likelihood that managers’ will identify firm-specific natural disaster risk as an important firm issue. In addition, the authors also find that managers are likely to identify natural hazards as a threat when natural hazard risk is high and when managers have experience in natural disasters that directly affected their businesses.

Systemic risks originate in tightly coupled systems. They are characterised by complexity, transboundary cascading effects, non-linear stochastic developments, tipping points, and lag in perception and regulation. Disasters need to be analysed in the context of vulnerabilities of infrastructure, industrial activities, structural developments and behavioural patterns which amplify or attenuate the impact of hazards. In particular, disasters are triggered by chains of events that often amplify and also multiply damages. The paper aims to discuss these issues.

The paper applies the concept of systemic risks to disasters more precisely to the combination of natural and human-induced disasters. The paper refers to the International Risk Governance Council’s Risk Governance Framework and applies this framework to the systemic aspects of disaster risks.

The paper maps out strategies for inclusive governance of systemic risks for disaster prevention and mitigation. Furthermore, the paper highlights policy implications of these strategies and calls out for an integrated, inclusive and adaptive management approach for the systemic aspects of disaster risks.

The paper fulfils the identified need to analyse disaster risks in the context of vulnerabilities of infrastructure, industrial activities, structural developments and behavioural patterns which amplify or attenuate the impact of hazards.

Degradable mulch film (DMF) is a potential alternate to polyethylene (PE) mulching. In this regard, the purpose of this paper is to explore the effects and paths of natural disaster shock and risk aversion influencing farmers’ DMF adoption.

This research is conducted by collecting cross-sectional data of corn farmers in Zhangye, China. First, by using the Tobit model, the paper attempts to explore the effects of natural disaster shock and risk aversion influencing farmers’ DMF adoption. Second, IV-Tobit model is applied to deal with endogenous problems between risk aversion and DMF adoption. Additionally, the researchers used a moderating model to analyze feasible paths of natural disaster shock and risk aversion impacting farmers’ DMF adoption.

The outcomes show that natural disaster shock and risk aversion significantly and positively affect farmers’ DMF adoption. Though risk aversion plays a significant moderating effect in influencing farmers’ DMF adoption by natural disaster shock, the moderating effect has a serious disguising effect. By considering the heterogeneity of risk aversion, the paper further confirms that if the intensity of natural disaster shock is increased by one unit, the intensity of MDF adoption by farmers with high-risk aversion also tends to increase by 15.85%.

This study is the pioneer one, which is evaluating the intensity of farmers’ DMF adoption from adoption ratio, investment amount, labor input and adoption time. Additionally, the research provides important guidelines for policymakers to motivate medium and low-risk aversion farmers to adopt DMF.

This chapter identifies and analyzes three systemic obstacles to American public policy addressing natural disasters: symbolic obstacles, cognitive obstacles, and structural obstacles. The way we talk about natural disaster, the way we think about the risks of building in hazardous places, and structural aspects of American political institutions all favor development over restraint. These forces have such strength that in the wake of most disasters society automatically and thoughtlessly responds by rebuilding what was damaged or destroyed, even if reconstruction perpetuates disaster vulnerability. Only by addressing each of the obstacles identified are reform efforts likely to succeed.

Cities have been exposed to a variety of natural disasters such as flooding, extreme temperatures, storms, earthquakes, and other natural shocks, and have had to respond and adapt to such pressures over time. In the context of global climate change, natural disasters have increased across the globe. Apart from climate change, many urban environments in Latin America are experiencing significant transformations in land use patterns, socio-demographic change, changing labor markets, and economic growth, resulting from recent decades of globalization. Such transformations have resulted in the internal fragmentation of cities. In this context, the purpose of the present chapter is to demonstrate the importance in both theoretical and methodological terms, of integrating the concept of socio-environmental fragmentation into urban vulnerability research in order to make progress toward higher degrees of local sustainability in those areas of the city that suffer natural disasters and fragmentation.

A mixed methods approach is used in order to combine different technical issues from urban and climate change studies.

The findings are related to the importance of an integrated approach, regarding the complexity of urban life, and the relationship between the urban, the social, and the environmental phenomenon.

This chapter relates to the revisit of the current state of preparedness and to determine whether further adaptations are required. The authors understood that these kinds of mixed approaches are necessary in order to understand the new complexity of urban processes.

The human efforts to be prepared better for the future challenges of natural disasters go back ages. Natural disasters occur when a natural event, such as an earthquake, triggers the social vulnerability. These natural disasters kill thousands of people worldwide annually and cause economic losses in millions of dollars. Moreover, the global cost of natural disasters has increased substantially, and mega-disasters occur when the need for recovery truly becomes national or international. There are several trends in nature and society, which suggest that this pattern may continue, with mega-disasters occurring more frequently in the future. In the past 100 years, the number of disasters and the number of people affected by these disasters have exponentially up surged. Thus, there is no other way to improve preparedness in a meaningful or diverse future-oriented manner.

This paper focuses on how to design and customize a conceptual foresight model in “disaster risk management” in Iran, and offers an executive model to help decision-makers in disaster management, through which an appropriate practical framework for the implementation of foresight has been developed.

The model has presented a possible framework for implementing a foresight practice within the context of disaster management. This paper particularly addresses different elements of a customized model, developed through a substantial literature review and comparative study for defining the suitable model in the disaster management context. The final model is validated using two rounds of the Delphi method, with the participation of national disaster management experts, practitioners and scientists.

Although the whole model could be used all around the world, the main source of data validating the proposed model is limited to the expert’s opinions in a developing country (I. R. Iran.) and the geographical conditions of Iran are considered as a core of attention in response to natural disasters. Based on the indicators for choosing Delphi participants and experts, only 43 qualified experts are selected to validate the model. The main focus of this research is on natural disasters issues.

This study showed that while there has been a scattered global effort to recognize the increasing uncertainties in diverse disciplines, very little work in academic foresight has been undertaken to identify how it could be implemented. In particular, a series of factors in foresight processes is identified based on the comparative study and some additional elements are added to precisely identify the disaster management context and the most suitable model for national foresight implementation in disaster management.

The main value of this research paper is to clarify the exact relationship between the two interdisciplinary fields; the relationship between the key concepts of “futures studies” and “disaster management” has been thoroughly established. Also, a specific conceptual model for enriching the “pre-foresight” stage and selecting a proper “foresight approach” in “disaster management” is provided. This model has been validated through two rounds of the Delphi method. Finally, a cumulative framework of foresight patterns that includes the new model is presented to be applied in areas especially related to “natural disaster management”.

The notion that disasters are not natural is longstanding, leading to a growing number of campaigns aimed at countering the use of the term “natural disaster.” Whilst these efforts are crucial, critical perspectives regarding the potential risks associated with this process are lacking, particularly in places affected by violent conflict. This paper aims to present a critical analysis of these efforts, highlighting the need to approach them with care.

The author draws upon insights and discussions accumulated over a decade of research into the relationship between disasters and conflict. The article includes a critical literature review on the disaster–conflict relationship and literature specifically addressing the idea that disasters are not natural. The analysis of field notes led to a second literature review covering topics such as (de) politicisation, instrumentalisation, disaster diplomacy, ethics, humanitarian principles, disaster risk reduction, peacebuilding and conflict sensitivity.

This analysis underscores the importance of advocating that disasters are not natural, especially in conflict-affected areas. However, an uncritical approach could lead to unintended consequences, such as exacerbating social conflicts or obstructing disaster-related actions. The article also presents alternatives to advance the understanding that disasters are not natural whilst mitigating risks, such as embracing a “do-no-harm” approach or conflict-sensitive analyses.

The author offers an innovative critical approach to advancing the understanding that disasters are not natural but socio-political. This perspective is advocated, especially in conflict-affected contexts, to address the root causes of both disasters and conflicts. The author also invites their peers and practitioners to prioritise reflective scholarship and practices, aiming to prevent the unintentional exacerbation of suffering whilst working towards its reduction.

The purpose of this study is to examine how foreign firms consider natural disaster risk in subsequent investment decisions in a host country and whether different location portfolios can serve to mitigate investment risk.

The author sample includes data on 437 Fortune Global 500 firms and their initial entry into Chinese provinces between 1955 and 2008.

Using a fixed effects logit model of discrete time event history analysis, results show that geographic proximity to same multinational corporation (MNC) subsidiaries and different MNC subsidiaries from the same home country mitigates the negative effect of natural disasters on MNC entry into an affected province, while geographic proximity to other MNC subsidiaries from different home countries does not.

The knowledge needed to respond to severe disasters appears to be highly context-specific and shared only between firms with a high degree of commonality and trust.

This study aims to identify the regions with a high risk of natural disaster, estimate the proportion of households potentially participating in natural disaster insurance and analyze the relationship between disaster risk index and proportion of household potentially participating in natural disaster insurance.

Descriptive and quadrant analysis was applied on the 2019 Indonesia Disaster Risk Index (IRBI) scores and the 2019 National Socio-Economic Survey data.

The results showed there are only two categories of disaster risks in Indonesia based on IRBI categorization: “Medium” and “High.” Some districts in Aceh Province such as Simeuleu, Pidie Jaya and Banda Aceh City were observed to have a high proportion of households potentially participating in the natural disaster insurance while some in Jawa Tengah provinces have fairly low level even though they were categorized as high disaster-prone areas. Moreover, the quadrant analysis showed that 43 districts have high IRBI scores but low insurance participation rates with most discovered to be in Jawa Barat and Sumatera Selatan provinces.

Indonesia does not have a financial mitigation program up to the present time because almost all disaster resolutions are formulated based on emergency funds from the state budget even though it is important to use insurance schemes in all stages of disaster management. To the best of the authors’ knowledge, this study is the first attempt to identify households potentially participating in natural disaster insurance through the National Socio-Economic Survey in Indonesia.

Systematic mortality risk, i.e. the risk of unexpected changes in mortality and survival rates, can substantially impact a life insurers' risk and solvency situation. By using the “natural hedge” between life insurance and annuities, insurance companies have an effective tool for reducing their net‐exposure. The purpose of this paper is to analyze this risk management tool and to quantify its effectiveness in hedging against changes in mortality with respect to default risk measures.

To achieve this goal, the paper models the insurance company as a whole and takes into account the interaction between assets and liabilities. Systematic mortality risk is considered in two ways. First, systematic mortality risk is modeled using scenario analyses and, second, empirically observed changes in mortality rates for the last 10‐15 years are used.

The paper demonstrates that the consideration of both the asset and liability side is vital to obtain deeper insight into the impact of natural hedging on an insurer's risk situation and shows how to reach a desired safety level while simultaneously immunizing the portfolio against changes in mortality rates.

The paper contributes to the literature by considering the insurance company as a whole in a multi‐period setting and taking into account both, assets and liabilities, as well as their interaction. Furthermore, the paper shows how to obtain a desired safety level while simultaneously immunizing a portfolio against changes in default risk.