scholarly journals Quantitative and Financial Aspects of Resilience Bonds in the Context of Recursive Insurance Contracts. A Cost Benefit Analysis

2020 ◽  
Vol 24 (3) ◽  
pp. 387-402
Author(s):  
Andrea Jonathan Pagano ◽  
Francesco Romagnoli ◽  
Emanuele Vannucci
Keyword(s):  
Cost Benefit Analysis ◽  
Risk Mitigation ◽  
Cost Benefit ◽  
Insurance Premium ◽  
Benefit Analysis ◽  
World Community ◽  
Catastrophe Bonds ◽  
Insurance Contracts ◽  
Climate Resilience ◽  
Heavy Damage

AbstractIt is now well known that the world community must share the risks and hazards deriving from climate change and, more generally, from the environment. At the end of summer 2019, the European Bank for Reconstruction and Development (EBRD) issued the World’s first dedicated climate resilience bond and this confirms the thesis according to which financial, social and economic instruments are always most necessary for the development of society and to avoid that natural hazards can, as occurred in the past, cause extremely heavy damage with negative repercussions on every single area of a community. Starting from the characteristics of resilience bonds and reinsurance, the paper seeks to highlight the potential advantages that would derive from a systematic application of recursive contractual instruments (smart contracts). The authors focused on the study of the projection of financial and quantitative data of resilience and catastrophe bonds on the basis of a determined timeline, a fixed insurance premium, mitigation works related and connected to the main contract (insurance). In particular, the study concerns the correlation of the urban implementation of risk mitigation works with the specific catastrophic flood risk. The paper implements a purely economic and social cost-benefit analysis (ACB) in the sense that includes, among others, a public approach and the goal of maximizing social welfare, according to efficiency economic criteria. In a nutshell, the authors highlight as the main result not only the possibility, but also the convenience of the joint and multidisciplinary application of the quantitative method (resilience bonds) to infrastructure resilience.

scholarly journals A Framework for Risk-Based Cost–Benefit Analysis for Decision Support on Hydrogeological Risks in Underground Construction

Geosciences ◽  
2021 ◽  
Vol 11 (2) ◽  
pp. 82
Author(s):  
Johanna Merisalu ◽  
Jonas Sundell ◽  
Lars Rosén
Keyword(s):  
Decision Support ◽  
Cost Benefit Analysis ◽  
Risk Mitigation ◽  
Ground Surface ◽  
Cost Benefit ◽  
Expert Elicitation ◽  
Benefit Analysis ◽  
Underground Construction ◽  
Groundwater Leakage ◽  
Risk Reducing

Construction below the ground surface and underneath the groundwater table is often associated with groundwater leakage and drawdowns in the surroundings which subsequently can result in a wide variety of risks. To avoid groundwater drawdown-associated damages, risk-reducing measures must often be implemented. Due to the hydrogeological system’s inherent variability and our incomplete knowledge of its conditions, the effects of risk-reducing measures cannot be fully known in advance and decisions must inevitably be made under uncertainty. When implementing risk-reducing measures there is always a trade-off between the measures’ benefits (reduced risk) and investment costs which needs to be balanced. In this paper, we present a framework for decision support on measures to mitigate hydrogeological risks in underground construction. The framework is developed in accordance with the guidelines from the International Standardization Organization (ISO) and comprises a full risk-management framework with focus on risk analysis and risk evaluation. Cost–benefit analysis (CBA) facilitates monetization of consequences and economic evaluation of risk mitigation. The framework includes probabilistic risk estimation of the entire cause–effect chain from groundwater leakage to the consequences of damage where expert elicitation is combined with data-driven and process-based methods, allowing for continuous updating when new knowledge is obtained.

scholarly journals The ALARP Principle in the Cost-Benefit Analysis for the Acceptability of Investment Risk

2018 ◽  
Vol 10 (12) ◽  
pp. 4668 ◽  
Author(s):  
Antonio Nesticò ◽  
Shuquan He ◽  
Gianluigi De Mare ◽  
Renato Benintendi ◽  
Gabriella Maselli
Keyword(s):  
Cost Benefit Analysis ◽  
Risk Mitigation ◽  
Cost Benefit ◽  
Economic Evaluations ◽  
Investment Risk ◽  
Benefit Analysis ◽  
Mitigation Design ◽  
The Cost

The process of allocating financial resources is extremely complex—both because the selection of investments depends on multiple, and interrelated, variables, and constraints that limit the eligibility domain of the solutions, and because the feasibility of projects is influenced by risk factors. In this sense, it is essential to develop economic evaluations on a probabilistic basis. Nevertheless, for the civil engineering sector, the literature emphasizes the centrality of risk management, in order to establish interventions for risk mitigation. On the other hand, few methodologies are available to systematically compare ante and post mitigation design risk, along with the verification of the economic convenience of these actions. The aim of the paper is to demonstrate how these limits can be at least partially overcome by integrating, in the traditional Cost-Benefit Analysis schemes, the As Low as Reasonably Practicable (ALARP) logic. According to it, the risk is tolerable only if it is impossible to reduce it further or if the costs to mitigate it are disproportionate to the benefits obtainable. The research outlines the phases of an innovative protocol for managing investment risks. On the basis of a case study dealing with a project for the recovery and transformation of an ancient medieval village into a widespread-hotel, the novelty of the model consists of the characterization of acceptability and tolerability thresholds of the investment risk, as well as its ability to guarantee the triangular balance between risks, costs and benefits deriving from mitigation options.

scholarly journals A cost-benefit analysis model for the retrofit of sustainable urban drainage systems towards improved flood risk mitigation

2019 ◽  
Vol 38 (3) ◽  
pp. 423-439
Author(s):  
Oluwayemi A. Oladunjoye ◽  
David G. Proverbs ◽  
Beck Collins ◽  
Hong Xiao
Keyword(s):  
Flood Risk ◽  
Cost Benefit Analysis ◽  
Risk Mitigation ◽  
Cost Benefit ◽  
Flood Risk Management ◽  
Urban Drainage ◽  
Benefit Analysis ◽  
Analysis Model ◽  
Content Type ◽  
The Uk

Purpose The Environment Agency estimates that one in six homes in England (approximately 5.2m properties) are at risk from flooding and 185,000 commercial properties are located in flood-prone areas. Further, an estimate of 10,000 new homes are built on flood plains yearly. The UK has witnessed a significant increase in flood events over the past 10 years. During this period, there has been growing research attention into measures to mitigate the effects of flooding, including the benefits of deploying sustainable urban drainage systems (SuDs) in new developments or as a retrofit. The purpose of this paper is to present the development of a cost-benefit analysis model for the retrofit of SuDs focusing on the potential for improved flood risk mitigation in the context of commercial properties. Design/methodology/approach A synthesis of flood risk management and SuDs literature is used to inform the development of a conceptual cost-benefit analysis model for the retrofit of SuDs and focusing on the potential for improved flood risk mitigation in the context of commercial properties. Findings SuDs have been applied successfully in different parts of the world; however, the uptake of SuDs, in particular, the retrofit of SuDs, has been restricted by a number of issues including a lack of experience and trust in their performance and a lack of understanding in their true benefits. In particular, there is the limited experience of retrofitting SuDs and there are no well-established procedures for evaluating the feasibility, value or cost effectiveness of doing this. Social implications This offers the potential to support the UK government’s flood risk management policy by helping to increase the resilience of properties, whilst offering other benefits to communities such as improvements in air quality and biodiversity and also presenting a clearer understanding of the monetary and non-monetary implication to owners of commercial properties for a more informed and acceptable uptake of SuDs retrofit. Originality/value The proposed model will allow a more comprehensive understanding of the costs and associated benefits associated with SuDs retrofit, highlighting the flood risk mitigation benefits that might accrue over a period of time for commercial property.

scholarly journals A Strategic Framework for Natural Disaster-Induced Cost Risk Analysis and Mitigation: A Two-Stage Approach Using Deep Learning and Cost-Benefit Analysis

2021 ◽  
Author(s):  
Ji-Myong Kim ◽  
Sang-Guk Yum ◽  
Hyunsoung Park ◽  
Junseo Bae
Keyword(s):  
Deep Learning ◽  
Natural Disasters ◽  
Natural Disaster ◽  
Cost Benefit Analysis ◽  
Risk Mitigation ◽  
Cost Benefit ◽  
Evaluation Framework ◽  
Mitigation Strategies ◽  
Disaster Mitigation ◽  
Benefit Analysis

Abstract. Due to gradual increases in the frequency and severity of natural disasters, risks to human life and property from natural disasters are exploding. To reduce these risks, various risk mitigation activities have been widely conducted. Risk mitigation activities are becoming more and more important for economic analysis of risk mitigation effects due to limited public budget and the need for economic development. To respond to this urgent need, this study aims to develop a strategic evaluation framework for natural disaster risk mitigation strategies. The proposed framework predicts natural disaster losses using a deep learning algorithm (stage I) and introduces a new methodology that quantifies the effect of natural disaster reduction projects adopting cost-benefit analysis (stage II). To achieve the main objectives of this study, data of insured loss amounts due to natural disasters associated with the identified risk indicators were collected and trained to develop the deep learning model. The robustness of the developed model was then scientifically validated. To demonstrate the proposed quantification methodology, reservoir maintenance projects affected by floods in South Korea were adopted. The results and main findings of this study can be used as valuable guidelines to establish natural disaster mitigation strategies. This study will help practitioners quantify the loss from natural disasters and thus evaluate the effectiveness of risk reduction projects. This study will also assist decision-makers to improve the effectiveness of risk mitigation activities.

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