关于边坡工程保险的探讨

从边坡工程参加保险少的原因剖析出发,结合边坡工程自身的特性论述了边坡工程保险的可行性。然后从边坡工程保险实施的角度,基于边坡的可靠性分析和经济风险分析,通过一定显著性水平下的区间估计得出了保险费率的表达式。最后简要介绍了边坡工程保险的程序。     

A novel strategy to determine the insurance and risk control plan for natural disaster risk management

This study presents an extended framework for the analysis of economic effects of natural disaster risk management. It also attempts to define and evaluate the optimal insurance arrangements. A model, the economic utility constrained-maximization model, is proposed. The purpose of this study is to establish a strategy for determining an insurance and risk control plan in which consideration is given to balancing the economic effects (e.g., decrease in costs due to damage) by disaster mitigation. Furthermore, these values are compared with risk control actions for purposes of prioritization, to provide data to help evaluate the benefit of each risk control action. Disaster insurance policy premiums in contrast are based on actuarial data taken from situations in which risk control measures are not employed. This can make such contracts unfair to responsible enterprise managers who must take risk control measures. This represents an unfair aspect of insurance policies. Enterprise managers should be able to determine the optimum arrangement between natural disaster risk control and insurance given their budget limitations. The optimal strategies aim at the best applicability and balance between risk control and insurance capability for the enterprise manager. Risk control measures can generate several risk control options for enterprise managers. Premium discounts by insurers are given in this model.     

洪水保险研究

洪水保险是一项重要的非工程防洪措施,但我国的洪灾保险一直依附于企业财产保险和家庭财产保险,没有单独的洪水保险条款,且企业财产保险、家庭财产保险的保险费率仅按火灾危险等级划分,根本没有考虑洪灾风险因素。结合典型实例,对洪水保险中的费率制定问题和经营风险问题进行了深入研究。对我国实施洪水保险提出了若干建议。     

Modeling the integrated roles of insurance and retrofit in managing natural disaster risk: a multi-stakeholder perspective

This paper introduces a new modeling framework to understand and improve regional natural disaster risk management in the USA, including the interactions among key stakeholders and between the two important risk management mechanisms of insurance and retrofit. The framework includes a stochastic programming optimization to represent insurer decisions, which interacts with a utility-based model of individual homeowners’ decisions to insure and/or retrofit. Reinsurer and government roles are represented as inputs, and the decision models are integrated with a detailed regional catastrophe loss estimation model. This modeling framework is applied to a full-scale, realistic case study for hurricane risk to residential buildings in Eastern North Carolina. Several alternative system configurations are considered that affect the incentives for adoption of alternative risk management methods. They include providing a government subsidy for insured homeowners to encourage retrofit, providing both a government subsidy and insurance rebate to reduce retrofit costs, and mandating insurance purchase with a cap on insurance premiums. For each configuration, outcomes are presented from the perspectives of all key stakeholders—primary insurer, homeowners (insured and uninsured, in high- and low-risk areas), reinsurers, and the government. Results suggest that it is possible to design policies in which all stakeholders can be better off simultaneously. Retrofit incentives for insured homeowners can be effective in linking and strengthening the benefits of retrofit and insurance. Mandatory insurance coupled with capped profit loading factors and possibly retrofit rebates from the insurer to the homeowner can also reduce overall system risk.     

Increasing the resilience of financial intermediaries through portfolio-level insurance against natural disasters

Financial intermediaries [FIs] in developing and emerging economies are poorly equipped to manage natural disasters. These events create losses for FIs, eroding capital reserves and compromising their ability to lend. Portfolio-level insurance against disasters can improve FI management of these events. We model microfinance intermediaries [MFIs] exposed to severe El Ni?o in Peru that can now insure against this disaster risk. Our analyses suggest that insurance allows these lenders to manage this risk more efficiently and effectively. These risk management improvements can translate into better financial performance, expansion of banking service outreach, lower interest rates, and reduced volatility in access to credit. Based on these analyses, a large MFI in Peru with which we collaborated is now managing its disaster risk using El Ni?o insurance.     

Property insurance against debris-flow disasters based on risk assessment and the principal–agent theory

Dongchuan City is highly threatened by debris-flow disasters originating from Shengou gully, a typical debris-flow gully along Xiaojiang River in Yunnan Province (Kang et al. 2004). Shengou gully is studied, and a hazard assessment with numerical simulation is developed using ArcGIS 9.2 software. Debris-flow numerical simulation is an important method for predicting debris-flow inundation regions, zoning debris-flow risks, and helping in the design of debris-flow control works. Meanwhile, vulnerability measurement is essential for hazard and risk research. Based on the self-organized map neural network method, we combine the six vulnerability indicators to create an integrated debris-flow vulnerability map that depicts the vulnerability levels of Dongchuan City in Shengou Basin. Based on the risk assessment (including hazard assessment and vulnerability assessment), we adopt the principal–agent theory and use the risk degree of debris flows as an important index to build the insurance model and analyze the insurance premium of debris-flow disasters in Dongchuan City. This paper discusses the model and mechanism of property insurance in debris-flow risk regions and aims to provide technical support for insurance companies to participate in disaster prevention and reduction.     

Design and implementation of a voluntary collective earthquake insurance policy to cover low-income homeowners in a developing country

Understanding and evaluating disaster risk due to natural hazard events such as earthquakes creates powerful incentives for countries to develop planning options and tools to reduce potential damages. The use of models for earthquake risk evaluation allows obtaining outputs such as the loss exceedance curve, the expected annual loss and the probable maximum loss, which are probabilistic metrics useful for risk analyses, for designing strategies for risk reduction and mitigation, for emergency response strategies and for risk financing. This article presents, based on probabilistic risk models, the design and implementation of a risk transfer instrument to cover the private buildings of the city of Manizales, Colombia. This voluntary collective instrument provides financial protection to both, the estate tax payers and the low-income homeowners through a cross-subsidy strategy; besides, it promotes not only the insurance culture but also the solidarity of the community. The city administration and the insurance industry are promoting this program using the mechanism of the property tax payment. This collective insurance helps the government to access key resources for low-income householders recovery and improve disaster risk management at local level.     

Climate change and increased risk for the insurance sector: a global perspective and an assessment for the Netherlands

Climate change is projected to increase the frequency and severity of extreme weather events. As a consequence, economic losses caused by natural catastrophes could increase significantly. This will have considerable consequences for the insurance sector. On the one hand, increased risk from weather extremes requires assessing expected changes in damage and including adequate climate change projections in risk management. On the other hand, climate change can also bring new business opportunities for insurers. This paper gives an overview of the consequences of climate change for the insurance sector and discusses several strategies to cope with and adapt to increased risks. The particular focus is on the Dutch insurance sector, as the Netherlands is extremely vulnerable to climate change, especially with regard to extreme precipitation and flooding. Current risk sharing arrangements for weather risks are examined while potential new business opportunities, adaptation strategies, and public–private partnerships are identified.     

A new viewpoint of hazard assessment and management for Taiwan��s insurance issues

High rates of urbanization, environmental degradation, and industrial development in disaster-prone areas have all served to increase the extent of damage following catastrophes. Recently, losses from environmental hazards have escalated, which has resulted in a noticeable change in policy, with more emphasis on loss reduction through mitigation, preparedness, and recovery programs. This study focuses on natural disaster management in which the direct risks are posed by the natural disasters themselves. This paper presents a review of issues surrounding natural disaster risk control and insurance in Taiwan. It proposes the use of background information concerning risk control strategies as well as earthquake, typhoon, and flood insurance in Taiwan. Finally, an insurance case study is utilized to demonstrate the feasibility of the proposed methodology.     

Natural disasters as the end of the insurance industry? Scalar competitive strategies, Alternative Risk Transfers, and the economic crisis

The aftermath of Hurricane Katrina has piqued interest in the insurance industry, and this scrutiny has led to assumptions that the industry has become unstable and unprofitable with the increased incidence of disasters in highly-insured regions of the world. This paper challenges that assumption by arguing that the insurance industry has responded by spreading risk through scaled and networked recovery schemes. We found that because of competitive strategies of risk-spreading and displacement arrangements, the industry has actually profited as a whole. Regional insurance companies have always relied on the higher financial scales of the reinsurance industry in Munich, Zurich, and London. But with claims reaching into the billions of dollars, the reinsurance industry itself has raised premiums, spread risk farther afield, and jumped scale by spreading risk to futures markets called Alternative Risk Transfers (ARTs). However, the recession beginning in 2008 has called into question the viability of using futures markets as insurance. It is shown through a media analysis of four major business publications (The Economist, The New York Times, The Financial Times and The Wall Street Journal) how the industry responded to the costs of the 2004, 2005, and 2006 hurricane seasons. Because geography is rather new to this literature, this paper also offers a broad review of the insurance industry.     

Perception of earthquake risk: a study of the earthquake insurance pilot area in China

In 2014, China will pilot its first earthquake insurance program, and the inhabitants’ perception of earthquake risk in the pilot area is significant for the implementation of this plan. In this study, the authors conducted a field survey in four districts in the insurance pilot area to investigate the factors affecting the earthquakes risk perception of residents. The survey concentrates on the factors of hazard experience and residents’ house type and shows that people who have experienced more earthquakes tend to have a lower risk perception while people who have suffered serious earthquake loss tend to have a higher risk perception. For the house type factor, the author finds that house type is correlated with the risk perception from an earthquake. The effect on risk perception is significantly reduced when people enhance their house type with brick walls, concrete beams, and column. Furthermore, gender, income, and education level also have direct effects on how residents perceive of the risk from an earthquake.     

Insurance as catastrophe: A geography of house and contents insurance in bushfire-prone places

Insurance is increasingly identified as the disaster management technique of choice; a benign tool that can be utilised to reduce the impacts of disaster and aid recovery. For householders in disaster-prone places, individual rational agency is assumed to inform decision-making surrounding house and contents insurance purchase. In this paper, we present findings from interviews with householders in places with high bushfire risk that significantly unsettle such accounts. Drawing upon four identified themes – trade-offs, networks, virtue and promise – we observe that for these householders, the uncertainty and anxiety created through a lack of transparency on behalf of insurers, the construction of insurance as an individual endeavour, and the rendering of household materiality as object, renders insurance catastrophic. Attempts at calculation for insurance coverage are momentary rather than monetary; as constituting an entanglement of insurantial moments constructed within conflicting emotions, morality and the familial, rather than fiscal accountancy. For our participants this provides a stronger logic for choosing not to have insurance than for having insurance. We conclude with signposts for further research, including advancing the theorisation of insurance in the context of the everyday.     

美国佛罗里达州岩溶塌陷保险法案及启示

通过保险将风险予以转嫁是风险管理的重要手段,设置地质灾害保险独立险种是保险业的趋势。岩溶塌陷是六大地质灾害之一,我国可溶岩面积占国土面积的1/3,其中尤以西南各省岩溶较为发育,岩溶塌陷发生频繁,导致房屋坍塌破裂,土地下陷,交通路线受损,影响人们正常生活和财产生命安全。对于岩溶塌陷造成的损失,发达国家已经有一套比较完善的保险体制,而我国在岩溶塌陷保险方面的研究还是一片空白。本文对佛罗里达州的塌陷保险体制从立法、确定评估指数到判断灾后损失几个方面进行了阐述,希望对我国岩溶塌陷保险发展有所启示。      

Hailstorm Risk Assessment in Rural New South Wales

The risk of hail damage at a particular location depends on the frequency and severity (intensity) of hailfall. Three data sets were used to determine the relative risk of hail damage in the various weather forecasting districts of the state of New South Wales, Australia. Two of the data sets were observational data and the third was a set of crop insurance data. The crop insurance data was the least spatially-biased data available for rural areas. Combined data revealed that hailstorms were most frequent in the tablelands and most severe in the north of the state where there is summer-dominant rainfall.     

Earthquake risk assessment and optimal risk management strategies for Hi-Tech Fabs in Taiwan

In this paper, we build an event-based seismic hazard assessment and financial analysis model for Hi-Tech Fabs in Taiwan. As we know, the low occurrence rate, tremendous loss and high uncertainty are characteristics of earthquake disasters. To handle the above issues, the model integrates knowledge from many fields including earth science, seismology, geology, risk management, structural engineering, the insurance profession, financial engineering and facility management. The portfolio of data from the site survey indicates that the model can be used to calculate the event losses (including buildings, contents and business interruption losses); furthermore the average annual loss and loss exceeding probabilities also can be calculated. The total earthquake risk cost, which includes earthquake insurance premiums, average annual retained loss and equivalent annual retrofit cost, is defined as an indicator for selection of optimal risk management strategies.     

The Role of Uncertainty on Alternative Disaster Management Strategies

The work presented in this paper is an outgrowth of a multi—year study at the Wharton School of the University of Pennsylvania on Managing Catastrophic Risks. We focus on the role of homeowners and insurance companies in managing the hazard from earthquake risk. Specifically, we consider alternative earthquake disaster management strategies for a typical homeowner and a small insurance company in the Oakland, California region. These strategies involve the adoption of mitigation measures and the purchase of earthquake insurance by the homeowner and the purchase of an indemnity contract (e.g., excess—of—loss reinsurance) by the insurer.

We focus on how uncertainty impacts these disaster management strategies. Specifically, we illustrate the impact of structural mitigation and risk—transfer mechanisms on the insurer's performance when there is uncertainty in the company's risk profile. This risk profile is captured through a loss exceedance probability (EP) curve, representing the probability that a certain level of monetary loss will be exceeded on an annual basis. Parameters considered in the sensitivity analysis that will shift the loss EP curve include: earthquake recurrence, ground motion attenuation, soil mapping schemes, and the exposure and vulnerability of the residential structures. The paper demonstrates how uncertainty in these parameters impacts the cost effectiveness of mitigation and reinsurance on the insurer's profitability and chances of insolvency, as well as the number of policies the insurer is willing to issue.     

Pricing weather index insurance based on artificial controlled experiment: a case study of cold temperature for early rice in Jiangxi,China

The growth of early rice is often threatened by a phenomenon known as Grain Buds Cold, a period of anomalously cold temperatures during the booting and flowering stage. As a high yield loss due to Grain Buds Cold will lead to increasing insurance premiums, quantifying the impact of weather on crop yield is crucial to the design of weather index insurance. In this study, we propose a new approach to the estimation of premium rates of Grain Buds Cold weather index insurance. A 2-year artificial controlled experiment was utilized to develop logarithmic and linear yield loss models. Additionally, incorporating 51 years of meteorological data, an information diffusion model was used to calculate the probability of different durations of Grain Buds Cold, ranging from 3 to 20 days. The results show that the pure premium rates determined by a logarithmic yield loss model exhibit lower risk and greater efficiency than those determined by a linear yield loss model. The premium rates of Grain Buds Cold weather index insurance were found to fluctuate between 7.085 and 10.151% at the county level in Jiangxi Province, while the premium rates based on the linear yield loss model were higher (ranging from 7.787 to 11.672%). Compared with common statistical methods, the artificial controlled experiment presented below provides a more robust, reliable and accurate way of analyzing the relationship between yield and a single meteorological factor. At the same time, the minimal data requirements of this experimental approach indicate that this method could be very important in regions lacking historical yield and climate data. Estimating weather index insurance accurately will help farmers address extreme cold weather risk under changing climatic conditions.     

Exploring the impact of epistemic uncertainty on a regional probabilistic seismic risk assessment model

Natural Hazards - Probabilistic earthquake loss models are widely used in the (re)insurance industry to assess the seismic risk of portfolios of assets and to inform pricing mechanisms for...     

Effects of AO and Pacific SSTA on severe droughts in Luanhe River basin,China

Natural Hazards - In the (re)insurance industry, the risk from natural hazards such as earthquakes or floods is quantified by models for natural catastrophes, also called NatCat models. One...     

从风险认知到风险数量化分类

伴随着社会经济和科技的发展,对风险问题的研究成为风险管理的重要一环,风险分类是进行风险保险、风险管理以及建立风险信息数据库的基础。拟从风险认知的角度,通过人们目前比较关注的41种风险构建了风险0 1判断矩阵,用Hayashi数量化理论III,通过Matlab软件,对构建的0 1风险矩阵进行判断计算,得到风险分类图。通过验证,用Hayashi数量化理论Ⅲ对风险的聚类可以取得很好的类别区分效果,类内的风险种类组合与现有的几种政策管理分类框架中的风险类别组合吻合;该方法为风险的数值分类提供了新的思路。