2014
DOI: 10.1007/s11069-014-1415-x
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Non-structural flood risk mitigation under developing country conditions: an analysis on the determinants of willingness to pay for flood insurance in rural Pakistan

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Cited by 82 publications
(55 citation statements)
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“…They demonstrated that the willingness to pay for reducing deaths from a nuclear disaster is about 60 times the willingness to pay for reducing fossil-fuel generation-related deaths. Moreover, Abbas et al [15] demonstrated that the perceived risk of flooding, such as damage to livestock, crops, assets, and houses, increases the willingness to pay for insurance. Moreover, risk perception and sense of place had important influences on disaster preparedness.…”
Section: Perceived Riskmentioning
confidence: 99%
“…They demonstrated that the willingness to pay for reducing deaths from a nuclear disaster is about 60 times the willingness to pay for reducing fossil-fuel generation-related deaths. Moreover, Abbas et al [15] demonstrated that the perceived risk of flooding, such as damage to livestock, crops, assets, and houses, increases the willingness to pay for insurance. Moreover, risk perception and sense of place had important influences on disaster preparedness.…”
Section: Perceived Riskmentioning
confidence: 99%
“…Through multiple random replications, the empirical distribution of the WTP can be derived and the confidence interval of the WTP can be also calculated (Park et al, 1991). Then Referendum CVM program (Cooper, 1999) was introduced to measure the double-bounded logit regression and confidence interval estimates (Abbas et al, 2015). Table 4 (see Appendix).…”
Section: (Insertmentioning
confidence: 99%
“…Demand-side subsidy would provide income support to motivate fish farmers' participation in aquaculture insurance. Although increasing the amount of the subsidies can be effective to increase motivation on both sides (Abbas et al, 2015;Khan et al, 2013;Zheng and Wang, 2015), it is more useful to set discriminated premiums based on risk levels as well as fish farmers' financial status and credit score. This can effectively reduce the risk of adverse selection in the market and improve fish farmers' affordability for aquaculture insurance and bring a relatively high degree protection to those who have a lower risk level.…”
Section: Conclusion and Policy Implicationsmentioning
confidence: 99%
“…Pakistan faces extreme flood events almost every year. The statistical analysis shows that a financial loss of US$38.165 billion occurred, more than 12,000 causalities were reported and 616,598 km 2 land area was affected as a result of 23 major flood events from 1947 to 2015 in Pakistan [8]. The extreme flood events in India resulted in the death of several thousand people in Uttarakhand 2013, in Chennai 2015, and in Kerala 2018 [9,10].…”
Section: Introductionmentioning
confidence: 99%