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The authors investigate whether firms can ensure their financial stability during the coronavirus disease 2019 (COVID-19) pandemic by having ex-ante risk management.

The authors study 279 Vietnamese listed firms by investigating their disclosure of risk awareness and risk management tool(s) in the 2019 annual reports. The authors then examine whether prior risk awareness and adoption of risk management tool(s) can enhance the firms' financial ratios during the COVID-19 pandemic.

The authors find that firms that disclose their risk management tool(s) in the 2019 annual reports have better asset utilization and higher liquidity during the COVID-19 pandemic than the others. However, firms that simply express their risk awareness exert no stronger financial stability. In addition, the authors document that debt management is the most popular and most effective tool to ensure firms' financial stability during the crisis.

The study highlights the need for ex-ante risk management for future pandemics. The authors also suggest that stakeholders can rely on the degree of risk management tool utilization to evaluate the financial stability of firms.

Sometimes resources are badly employed because of coordination failures. Actions by decision makers that affect the likelihood of such failures are sometimes said to cause “systemic risk.” This paper seeks to consider the externality in the choice of ex ante risk management policies by individuals and firms, concerned with private risk, not with their contribution to systemic risk.

The implications for debates over fair value accounting are considered.

One consequence is that individuals and firms become overleveraged from a social viewpoint. The recent credit crisis exemplifies the importance of this problem. The US tax system taxes equity more heavily than debt, and therefore exacerbates the bias toward overleveraging. A possible solution is to reduce or eliminate taxation of corporate income and capital gains. Preparedness externalities can also cause firms to become too transparent, and thereby subject to financial runs.

The paper offers insights into systemic risk, coordination failures, and preparedness externalities, focusing on tax and accounting policy.

This paper aims to analyze the risks faced by the Cambodian rice supply chain (RSC), including risk identification, risk investigation and risk management.

The first qualitative area of exploration from this exploratory sequential design is to identify the potential risks, in which the authors conduct in-depth interviews with ten different experts in Cambodia. Using the structural equation model (SEM) in AMOS and descriptive statistics analysis, this study investigates the risks that affect the RSC performance on an environmental, social and economic basis and subsequently proposes risk management strategies. The authors collect quantitative data from 200 Cambodian farmers through interviews and surveys.

The results illustrate that the farm households face 18 risk factors. The researchers consolidate 18 risk factors into four classifications: supply risks, production risks, demand risks and environmental risks. Nine experts out of the ten who were interviewed (90%) consider themselves “highly vulnerable” (with a rating of 4 or 5 on the Likert scale), while only one expert has a “neutral” stance (with a rating of 3 on the Likert scale); these results concerning risk identification are visualized in the likelihood effect matrix of the RSC. After investigating the risks, the authors found that RSC performance is significantly affected by the RSC risks. In particular, four groups are created, representing two different approaches to mitigate, avoid, transfer and cope with agricultural risks, i.e. ex ante and ex post risk management strategies.

This study fully answers research questions regarding risk identification, risk investigation and risk management.

Households are exposed to a wide array of risks, characterized by a known or unknown probability distribution of events. Disasters are one of these risks at the extreme end. Understanding the nature of these risks is critical to recommending appropriate mitigation measures. A household’s resilience in resisting the negative outcomes of these risky events is indicative of its level of vulnerability. Vulnerability has emerged as the most critical concept in disaster studies, with several attempts at defining, measuring, indexing and modeling it. The paper presents the concept and meanings of risk and vulnerability as they have evolved in different disciplines. Building on these basic concepts, the paper suggests that assets are the key to reducing risk and vulnerability. Households resist and cope with adverse consequences of disasters and other risks through the assets that they can mobilize in face of shocks. Asustainable strategy for disaster reduction must therefore focus on asset‐building. There could be different types of assets, and their selection and application for disaster risk management is necessarily a contextual exercise. The mix of asset‐building strategies could vary from one community to another, depending upon households’ asset profile. The paper addresses the dynamics of assets‐risk interaction, thus focusing on the role of assets in risk management.

The purpose of this paper is to analyse how fish farmers manage climate-related risks and explore possible ways to strengthen risk management under current and future climate.

In total, 662 fish farmers in sites across Northern Thailand were interviewed about risks to the profitability of their fish farms and ways such risks were managed. Nonlinear canonical correlation analysis was used to relate risk factors to management practices at farm and river levels. In total, 68 in-depth interviews with farmers and other stakeholders provided additional information on climate risk management practices.

Farmers use a combination of adjustments to rearing practices, cropping calendars and financial and social measures to manage those risks, which they perceive as being manageable. Many risks are season, river and place specific; implying that the risk profiles of individual farms can vary substantially. Individual risks are often addressed through multiple practices and strategies; conversely, a particular management practice can have a bearing on several different risks. Farmers recognize that risks must be managed at farm and higher spatial and administrative scales. Social relations and information play critical roles in managing these complex combinations of risks.

This is one of the first papers to report in detail on how inland fish farmers manage climate-related risks. It underlines the need to consider multiple spatial and temporal scales and that farmers do not manage individual climate-related risks in isolation from other risks.

This article offers some perspective on the progress and challenges of managing catastrophic weather risk in lower income countries through the use of index insurance. Innovations in insurance for natural disaster risk are critically important to help the rural poor improve their lives and to contribute to the overall economic growth in lower income countries. By reviewing lessons learned from various index insurance projects, several conclusions are made about how best to approach weather risk management to benefit the livelihoods of the rural poor. It is important to recognize the limitations of index insurance and that it is not a substitute for crop insurance. However, using index insurance to address catastrophic risk can serve as the foundation for the development of broader financial services by removing one of the major constraints to market development. This in turn can offer households more effective strategies for consumption smoothing in the face of different sources and magnitudes of risk.

Managers must make numerous strategic decisions in order to initiate and implement a business model innovation (BMI). This paper examines how managers perceive the management team interacts when making BMI decisions. The paper also investigates how group biases and board members’ risk willingness affect this process.

Empirical data were collected through 26 in-depth interviews with German managing directors from 13 companies in four industries (mobility, manufacturing, healthcare and energy) to explore three research questions: (1) What group effects are prevalent in BMI group decision-making? (2) What are the key characteristics of BMI group decisions? And (3) what are the potential relationships between BMI group decision-making and managers' risk willingness? A thematic analysis based on Gioia's guidelines was conducted to identify themes in the comprehensive dataset.

First, the results show four typical group biases in BMI group decisions: Groupthink, social influence, hidden profile and group polarization. Findings show that the hidden profile paradigm and groupthink theory are essential in the context of BMI decisions. Second, we developed a BMI decision matrix, including the following key characteristics of BMI group decision-making managerial cohesion, conflict readiness and information- and emotion-based decision behavior. Third, in contrast to previous literature, we found that individual risk aversion can improve the quality of BMI decisions.

This paper provides managers with an opportunity to become aware of group biases that may impede their strategic BMI decisions. Specifically, it points out that managers should consider the key cognitive constraints due to their interactions when making BMI decisions. This work also highlights the importance of risk-averse decision-makers on boards.

This qualitative study contributes to the literature on decision-making by revealing key cognitive group biases in strategic decision-making. This study also enriches the behavioral science research stream of the BMI literature by attributing a critical influence on the quality of BMI decisions to managers' group interactions. In addition, this article provides new perspectives on managers' risk aversion in strategic decision-making.

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.

Risk attitude is an elementary attribute of entrepreneurial behaviour. Determinants of risk-taking propensity have been widely investigated in the group of entrepreneurs and non-entrepreneurs so far. There is a lack of evidence on determinants of risk-taking propensity in the farming business, which is considered as risky business because of the ongoing climate change and epidemic outbreaks. Alternatively, the risk of lower European Union budget raised the question, how to implement publicly supported financial instruments for micro and small farmers which have lower credit rating. The purpose of this study is to find socio-demographic determinants of the risk-taking propensity of the Czech micro farms, controlling for the type of farming.

The survey of 747 micro farmers was processed through ordinal logistic regression. The study is based on the subjective self-assessment of the risk-taking behaviour which is frequently used to measure risk-taking attitude. The results are representative from the type of farming point of view.

The model provided clear evidence that age, household size, living with the partner/wife/husband and level of education have a significant relationship with risk-taking propensity. The most risk-tolerant farmers are young with less formal education and living in small households. The risk-taking propensity varies by the type of farming. Specialized crop farms have significantly higher risk-taking propensity than farms with a substantial share of livestock production. Alternatively, gender, feeling about household income and religion are not significantly related to the risk-taking propensity of the Czech micro farms.

The main limitation of the study is the number of explanatory variables and the use of self-assessment of risk-taking attitude. The risk attitude can be explained by other variables which require in-depth qualitative research, such as past risk experience, the structure of decision problems, market orientation and operation under subsistence conditions.

The significant determinants of risk-taking attitude of micro farmers are important for banks, the Czech Support and Guarantee Fund for Farmers and Forestry and for policymakers who design the rules for post-2020 common agricultural policy. The study is original and valuable for the Central and Eastern European countries’ implementation of financial instruments as new rules for investment support are being prepared and research on the risk-taking attitude of the most vulnerable segment of farmers has not been conducted.

The originality of this study is from the perspective of agricultural sector as well as from the micro farms point of view. The results have commercial and political implications. Younger farmers, singles and lower-educated farmers have significantly higher risk-taking propensity and can be potentially risky clients for banks. Such farmers represent the financial gap in the credit market, and their viable development projects could be subject for implementation of financial instruments co-financed by the European Agricultural Fund for Rural Development in the forthcoming programming period past 2020.