Valuing Mortality And Morbidity In The Context Of Disaster Risks

Cropper, Maureen; Sahin, Sebnem

doi:10.1596/1813-9450-4832

Cited by 33 publications

(31 citation statements)

References 34 publications

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“…All approaches, however, are controversial since ultimately they put a price tag on life, which can be different for different income groups and countries. For example, Cropper and Sahin (2009) suggest that the VSL be scaled according to a country's per capita income relative to the USA (see as an application Sadeghi et al 2015). As another co-benefit, seismic activity is prevalent in the region, and there are simple house-strengthening measures that could be tied to the plinth (Arya and Gupta 2010).…”

Section: Estimating Project Costs and Additional Benefits Other Than mentioning

confidence: 99%

Flood Proofing Low-Income Houses in India: an Application of Climate-Sensitive Probabilistic Benefit-Cost Analysis

2018

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Poor communities in high risk areas are disproportionately affected by disasters compared to their wealthy counterparts; yet, there are few analyses to guide public decisions on pro-poor investments in disaster risk reduction. This paper illustrates an application of benefit-cost analysis (BCA) for assessing investments in structural flood proofing of lowincome, high-risk houses. The analysis takes account of climate change, which is increasingly viewed as an important consideration for assessing long-term investments. Specifically, the study focuses on the Rohini river basin of India and evaluates options for constructing nonpermanent and permanent residential structures on a raised plinth to protect them against flooding. The estimates show a positive benefit-cost ratio for building new houses on a raised plinth, while the ratio is less than one for demolishing existing houses to rebuild on a raised plinth. Climate change is found to significantly affect the BCA results. From a policy perspective, the analysis demonstrates the potential economic returns of raised plinths for 'building back better' after disasters, or as a part of good housing design practice.

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Section: Estimating Project Costs and Additional Benefits Other Than mentioning

confidence: 99%

Flood Proofing Low-Income Houses in India: an Application of Climate-Sensitive Probabilistic Benefit-Cost Analysis

2018

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“…We found cost estimates for constructing hiking trails in the United States and converted them to Nepal prices using the ratio of the gross national income in both countries following the approach used to adapt value of statistical life estimates [49]. The World Bank's estimate of the Gross National Income (GNI) per capita for the US is $50,700 [50] and income per capita in the Solu-Khumbu region of Nepal is $1841 [51], adjusted to ensure purchasing power parity.…”

Section: Decision Analysismentioning

confidence: 99%

Decision-Making Methodology for Risk Management Applied to Imja Lake in Nepal

Cuéllar

McKinney

2017

Water

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Glacial retreat causes the formation of glacier lakes with the potential of producing glacial lake outburst floods (GLOFs). Imja Lake in Nepal is considered at risk for a GLOF. Communities in the path of a potential Imja GLOF are implementing adaptation projects, yet no quantitative data or guidance is available to understand the benefits of these projects or how to weigh benefits against the cost of implementation. We develop and demonstrate a decision-making methodology for GLOF risk management, incorporating available scientific information and uncertainty. The methodology consists of (1) identifying flooding scenarios, (2) evaluating scenario consequences, and (3) performing an economic analysis of proposed adaptation projects. The methodology is applied to assess benefits in Dingboche of lowering Imja Lake by 3, 10 and 20 m. The results show that the baseline case (no lake lowering) has the lowest expected cost because of low valuation of agricultural land and homes in the literature. Nonetheless, the result is sensitive to changes in the analysis variables. We also found that lowering the lake by 10 or 20 m is efficient according only to the methodology used here; however, considering only direct economic damages and literature cost estimates, the costs outweigh the benefits for these projects.

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“…Economic techniques for modelling indirect losses exist (e.g., lost productivity, ecosystem valuation, econometric models, general equilibrium models, ECLAC methodology, etc.) (Cochrane, 2004;Constanza, 2012;Cropper and Sahin, 2009;Pelling et al, 2002) but are not used operationally in disaster loss databases. As a result, the documentation of indirect losses in loss databases is rudimentary -often a mere multiplication of direct or insured losses using subjective multiplication factors (Barthel and Neumayer, 2012;Smith and Katz, 2013).…”

Section: The Forgotten Impacts Of Slow Onset Eventsmentioning

confidence: 99%

The suitability of disaster loss databases to measure loss and damage from climate change

Gall

2015

IJGW

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This paper explores the suitability of disaster loss databases for documenting impacts of climate change particularly those related to extreme weather and slow onset events. The goal is to clarify the utility, quality, and relevance of disaster loss metrics in the context of climate-sensitive hazards such as floods, tropical cyclones, droughts, and so forth. Although, disaster loss databases hold great potential for assessing some of the impacts from climate change, several modifications are required to enhance the utility of existing disaster loss databases, primarily in regard to data availability and quality. In order to effectively utilise disaster loss databases, loss metrics and hazard classifications should be broadened, time horizons for loss estimation expanded as well as loss estimation techniques improved along with a coordinated development and implementation of data and database standards.Keywords: extreme event; climate change impacts; natural hazards; loss and damage; measuring losses; disaster loss database.Reference to this paper should be made as follows: Gall, M. (2015) 'The suitability of disaster loss databases to measure loss and damage from climate change', Int.

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Valuing Mortality And Morbidity In The Context Of Disaster Risks

Cited by 33 publications

References 34 publications

Flood Proofing Low-Income Houses in India: an Application of Climate-Sensitive Probabilistic Benefit-Cost Analysis

Flood Proofing Low-Income Houses in India: an Application of Climate-Sensitive Probabilistic Benefit-Cost Analysis

Decision-Making Methodology for Risk Management Applied to Imja Lake in Nepal

The suitability of disaster loss databases to measure loss and damage from climate change

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