Role of Insurance in Post Disaster Recovery Planning in Business Community

Kaushalya, Harshani; Karunasena, Gayani; Amarathunga, D.

doi:10.1016/s2212-5671(14)00984-8

Cited by 14 publications

(7 citation statements)

References 13 publications

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“…The absence of flood insurance cover meant that the residents had to bear the full cost of the property lost. Yet research has shown insurance as a risk-transfer-mechanism that reduces financial losses (Kaushalya et al , 2014; Raschky, 2008). Countries with mandatory insurance cover reduce the associated disaster-risks.…”

Section: Discussionmentioning

confidence: 99%

Flood vulnerability and relocation readiness in Zimbabwe

Mavhura

Collins

Bongo

2017

DPM

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Purpose The purpose of this paper is to examine vulnerability conditions to flood disasters in Tokwe-Mukorsi community, Zimbabwe and identifies the barriers that constrained the community from relocating to safe sites. Design/methodology/approach Using a questionnaire survey, field observations and interviews, the paper examines the biophysical and social vulnerability of the Tokwe-Mukorsi community, Zimbabwe, as well as the barriers that prevented it from relocating to safe sites. A thematic analysis of the large volumes of qualitative data from interviews and walk-through analyses was conducted. Descriptive statistics were used in analysing quantitative data from questionnaires. Findings Results reveal that households living upstream and downstream of the dam were highly vulnerable to floods. Their biophysical vulnerability was partly induced by the construction of the dam whose basin encroached into the farming and settlement area. The extremely vulnerable group were households living below level of 660 m where five saddle dams had been constructed. The built environment of the community exhibited ignorance of standard building codes. The poor socio-economic conditions of the community and the incessant rains experienced over two weeks contributed to the flood disaster in early 2014. The Tokwe-Mukorsi community failed to relocate to safe places partly due to lack of compensation, absence of basic infrastructure and drought occurrence in relocation sites. Research limitations/implications The calculation of social vulnerability indices is beyond the scope of this study due to non-availability of quantitative data at community level. Originality/value This paper provides a comprehensive understanding of why some communities may fail to relocate despite being highly vulnerable to flood disasters.

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Section: Discussionmentioning

confidence: 99%

Flood vulnerability and relocation readiness in Zimbabwe

Mavhura

Collins

Bongo

2017

DPM

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“…Insurance is often considered an effective tool of post-disaster economic recovery [14,15]. It however does not have significant penetration amongst the masses in India, particularly in the rural areas where majority of the population resides [16].…”

Section: Disaster Relief In Indiamentioning

confidence: 99%

Disaster and Livelihood of the Affected Population: Case Study of June 2013 Disaster in Rudraprayag District of Uttarakhand

Khanduri

Rautela

2021

Academic Platform Journal of Natural Hazards and Disaster Management

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Economic impact of disaster and utilisation pattern of the relief is assessed though semi-structured questionnaire and focused discussions in Rudraprayag district of Uttarakhand in India that was devastated by floods in June, 2013. It is observed that in the absence of risk transfer tools the disaster affected population, particularly those engaged in petty business and representing weaker sections of the society, find it hard to replenish their productive assets lost in the disaster due to (i) the relief amount being significantly less than market value of lost assets, (ii) limited savings, (iii) relief amount spent on non-productive household purposes owing to reduced income in the post-disaster phase, and (iv) poor assess to institutional financing. The state is therefore advised to initiate an organised scheme with the involvement of financial institutions to facilitate replenishment of productive assets lost in disaster incidences rather than providing cash relief, and ensure insurance of the assets so created as the voluntary adoption of risk transfer tools is unlikely to come by soon.

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“…Nonstructural social capital can effectively speed community recovery and reconstruction at the postdisaster stage (Mayunga, ). For example, with valid disaster insurance, residents can be reimbursed by insurance companies after the disaster to rebuild their economic resilience (Kaushalya, Karunasena, and Amarathunga, ). Another example is the provision of emergency shelters, which can ensure people's lives and improve disaster resilience during an evacuation (Chen et al., ). (3)Natural capital in the community mainly reflects the behavior of a community's energy and resource requests and the waste output in the operation and maintenance phases (Ma and Wang, ).…”

Section: Community Disaster‐adapting Capitalsmentioning

confidence: 99%

Measuring the Disaster Resilience of an Urban Community Using ANP‐FCE Method from the Perspective of Capitals

Cui¹,

Li²

2019

Social Science Quarterly

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Objective. Facing increasingly frequent disasters, the resilience concept can make up the limitations of traditional community disaster management. This article evaluated the disaster resilience in an urban community from the perspective of capital, and provides measurements for stakeholders to enhance the community resilience. Methods. On the basis of selected capital indicators using systematic literature review, the urban community resilience framework is established based on analytic network process and fuzzy comprehensive evaluation. Finally, the results are analyzed using the importance-performance analysis. Results. First, 12 indicators within three dimensions of community capitals are identified. Then, the weights of social, economic, and natural capital are calculated as 33, 41, and 26 percent, respectively. Afterward, taking a waterlogging disaster as an example, an aged community acquired a 46.57 score of resilience. The importance-performance quadrant shows the priority of factors to be improved. Conclusion. Relationship, norms, demographic characteristics, voluntary activity, physical facilities, communication system, general property, dedicated assets, resources, energy, ecological environment, and artificial environment are considered as key capitals of community resilience. In addition, a general framework to calculate and evaluate the resilience in a community is established that provides a benchmark for rating the resilience of urban communities.Various natural hazards-such as earthquake, storm, flood, and waterlogging-are becoming increasingly normalized. These uncertain disturbances described as the "worst in a hundred-year period" or "ever recorded," as well as "the most serious in history" are often reported in the news and have catastrophic consequences for urban communities, including human casualties, property damage, functional failures, and social order imbalance. For example, two destructive hurricanes, Harvey and Irma, made landfall in the southern United States in 2017, resulting floods, power failure, and severe casualties. In 2012, China's capital, Beijing, suffered an extremely heavy rainstorm. Seventy-nine people died, more than 10,000 community houses collapsed, and the economic losses reached 11.64 billion yuan. In 2011, a 9.0 magnitude earthquake and a tsunami in Tohoku, Japan, killed more than 18,500 people and displaced nearly half a million.Governments and organizations worldwide have issued a series of policies and regulations to combat the disaster problems. Among them, the concept of "resilience" has attracted increasing attention worldwide and offers unique advantages for

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Role of Insurance in Post Disaster Recovery Planning in Business Community

Cited by 14 publications

References 13 publications

Flood vulnerability and relocation readiness in Zimbabwe

Flood vulnerability and relocation readiness in Zimbabwe

Disaster and Livelihood of the Affected Population: Case Study of June 2013 Disaster in Rudraprayag District of Uttarakhand

Measuring the Disaster Resilience of an Urban Community Using ANP‐FCE Method from the Perspective of Capitals

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