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Agricultural and fishery disasters are rather obscure emergency management research topics. However, the Food and Agriculture Sector is one of only 16 critical infrastructure sectors included in the Robert T. Stafford Disaster Relief and Emergency Assistance Act of 1988, and the sector is a vital component of the United States economy. As climate change continues to increase the frequency and severity of agricultural and fishery disasters, the Food and Agricultural Sector must adapt to and cope with unprecedented levels of risk. This chapter provides an overview of federal agricultural and fishery disaster policy and explores whether such policies are consistent with Jerroleman’s (2019)principles of just recovery.

This chapter opens the second part of the Volume, focusing on the small farms' role and dynamics within the evolving food system. Assessing small farmers' actual and potential contribution to the change towards a sustainable food and nutrition security requires a deep understanding of their strategic decision-making processes. These processes take place in a context highly conditioned by internal and external conditions, including the complex relations between farm and household, which are mapped and described. Building on an adaptation of Porter's model (Porter, 1990), the chapter investigates how farmers, given those conditions, define their strategies (in particular their innovation strategies) aimed at economic and financial sustainability through a multidisciplinary analysis of scientific literature. Internal conditions are identified in the light of the Agricultural Household Model (Singh & Subramanian, 1986) which emphasizes how family farming strategies aim at combining business-related objectives, and family welfare. Then, a comprehensive set of external conditions is identified and then grouped within eight categories: ‘Factors’, ‘Demand’, ‘Finance and Risk’, ‘Regulation and Policy’, ‘Technological’, ‘Ecological’, ‘Socio-institutional’ and ‘Socio-demographic’. Similarly, six types of strategies are identified: ‘Agro-industrial competitiveness’, ‘Blurring farm borders’, ‘Rural development’, ‘Risk management’, ‘Political support’ and ‘Coping with farming decline’.

Introduction: The insurance industry is vulnerable to attacks as it deals with the personal information of its consumers and puts the insurance company’s business at risk in the event of data breach or abuse. To ensure the security of customer data, insurance companies must comply with various data protection requirements, including requirements imposed by laws, regulations, and standards. Following such a wide range of conditions can be challenging for insurance providers. For a long time, risk management has controlled data protection to ensure compliance with data protection law and ensure that data are processed correctly and that people’s fundamental rights are protected effectively.

Purpose: This chapter explains the role and significance of risk management. An organised way to identify and assess risks, mitigate or avoid risks as much as possible, and then manage and accept the remaining risks, implemented in data protection as needed, explained by the supervisory authority, is implemented by the responsible organisation. This document highlights the growing consensus surrounding risk management as an essential tool for adequate data protection. Furthermore, it addresses vital considerations that affect the role of risk in data protection law and practice.

Need for study: There is an increasing consensus towards the role and significance of risk management in data protection in the insurance market. As a result, regulators and legislators are focussing on valuable and new attention on standardising and expanding data protection in risk management practices. This paper has attempted to identify critical issues and principles of risk management in data protection.

Methodology: Secondary data analysis was conducted in this study by reviewing literature related to data protection, risk management, and the insurance sector. Again, science direct was used as a source of information. For this study, the literature review approach was chosen since it allows us to trace the growth of the subject matter and identify the patterns that have formed through time.

Findings: The insurance industry comprises general insurance and life insurance. It is found that there are various studies conducted on the privacy violation and data breaches of individuals in the insurance industry. The study also identifies the factors causing privacy issues and recommends improving data privacy management in the insurance market.

Practical implications: The current study can be referred to by academicians, marketers, industry people, and policymakers. In addition, the study encourages companies and academicians to investigate further the process of data protection in the insurance industry.

This chapter describes public agriculture services’ business goals, purpose, and strategy. It reinforces agriculture organizations’ fundamental bureaucratic administrative culture (Tier 1). The authors describe the influence that political appointees as leaders may play in shaping public sector cultures. The bureaucratic culture of agriculture is deconstructed, and each of the five layers is described in detail. Additionally, the authors explain why behavior is the dominant layer and the most critical starting point for understanding agriculture cultures. The public service culture (Tier 2) brings an essential element of leveling, access, and equity to the larger context. It brings the focus back to service to the people and community rather than performance. It also gives greater emphasis to the role of safety and well-being. The chapter lays out the landscape of external influencing cultures (Tier 3) in agriculture. Finally, the potential value and challenges of developing internal knowledge, learning, and collaboration (KLC) cultures (Tier 4) are explored.

A common feature of certain kinds of data is a high level of statistical dependence across space and time. This spatial and temporal dependence contains useful information that can be exploited to significantly reduce the uncertainty surrounding local distributions. This chapter develops a methodology for inferring local distributions that incorporates these dependencies. The approach accommodates active learning over space and time, and from aggregate data and distributions to disaggregate individual data and distributions. We combine data sets on Kansas winter wheat yields – annual county-level yields over the period from 1947 through 2000 for all 105 counties in the state of Kansas, and 20,720 individual farm-level sample moments, based on ten years of the reported actual production histories for the winter wheat yields of farmers participating in the United States Department of Agriculture Federal Crop Insurance Corporation Multiple Peril Crop Insurance Program in each of the years 1991–2000. We derive a learning rule that combines statewide, county, and local farm-level data using Bayes’ rule to estimate the moments of individual farm-level crop yield distributions. Information theory and the maximum entropy criterion are used to estimate farm-level crop yield densities from these moments. These posterior densities are found to substantially reduce the bias and volatility of crop insurance premium rates.

This study contributes to the understanding of the health effects of pesticides exposure and of how pesticides have been and should be regulated.

This study presents literature reviews for the period 2000–2013 on (i) the health effects of pesticides and on (ii) preference valuation of health risks related to pesticides, as well as a discussion of the role of benefit-cost analysis applied to pesticide regulatory measures.

This study indicates that the health literature has focused on individuals with direct exposure to pesticides, i.e. farmers, while the literature on preference valuation has focused on those with indirect exposure, i.e. consumers. The discussion highlights the need to clarify the rationale for regulating pesticides, the role of risk perceptions in benefit-cost analysis, and the importance of inter-disciplinary research in this area.

This study relates findings of different disciplines (health, economics, public policy) regarding pesticides, and identifies gaps for future research.

In recent years, Costa Rica has experienced increasing economic loss from numerous climate disasters. To meet the challenge of reducing local vulnerabilities, it is necessary to incorporate the potential impacts of current and future climate disaster events into DRM policy, planning, and practice, both at the national and local levels. This chapter evaluates the current status of policy initiative on incorporating the climate disaster risk aspect in DRM planning at the national level in Costa Rica and discusses whether this initiative provides any answers to reduce climate disaster risk. The study applies a “checklist” as a means of evaluation.