Non-structural flood risk mitigation under developing country conditions: an analysis on the determinants of willingness to pay for flood insurance in rural Pakistan

Abbas, Azhar; Amjath-Babu, T.S.; Kächele, Harald; Müller, Klaus

doi:10.1007/s11069-014-1415-x

Cited by 86 publications

(55 citation statements)

References 47 publications

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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%

Analyzing the Role of Resource Factors in Citizens’ Intention to Pay for and Participate in Disaster Management

et al. 2020

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This study aimed to analyze how resource variables (health status, economic affordability, social network, social capital, and neighborhood environment) influence citizens’ intention to pay for and participate in disaster management and safety activities. We compared four psychometric paradigm variables with five resource variables and analyzed how the latter moderate the relationships of the perception variables with intention to pay and to participate. A regression analysis revealed that willingness to pay was mainly explained by trust, followed by social capital, economic affordability, perceived risk, and experience, respectively. Participation was explained by knowledge, social capital, age, trust, and social network, respectively. Gender, trust, and social capital had an influence both on willingness to pay and to participate. Perceived risk, knowledge, and trust had a moderating effect on willingness to pay, but this effect depended on the quality of the neighborhood environment. Trust, knowledge, and stigma had a moderating effect on participation intention, but this effect depended on social capital and the neighborhood environment.

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Section: Perceived Riskmentioning

confidence: 99%

Analyzing the Role of Resource Factors in Citizens’ Intention to Pay for and Participate in Disaster Management

et al. 2020

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“…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%

Evaluating the demand for aquaculture insurance: An investigation of fish farmers' willingness to pay in central coastal areas in China

Zhao

2018

Marine Policy

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Despite the remarkable development in its fishery sector, the penetration rate of fishery insurance in China is considerably low. This paper examines the key factors that contribute to the poor performance of fishery insurance, in particular aquaculture insurance, in China. The doublebounded dichotomous choice contingent valuation method (DB DCCVM) is used to investigate fish farmers' willingness to pay (WTP) for insurance, based on a survey of 1,280 fish farmers in three coastal cities in China. The results indicate that fish farmers' decisions on adoption of an insurance scheme depend on various factors, among which magnitude of financial loss, fish farmers' awareness toward insurance and their education all have a positive effect on the WTP. However, household income and farming experience are found to have a negative effect. Furthermore, the mean WTP for aquaculture insurance is estimated to be CNY579 (US$90.05) 1 per household, which is equivalent to 1.5% of mean annual household income. These results provide several policy implications for the Chinese government, insurance companies as well as researchers.

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“…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%

Experimental Investigation of Flood Energy Dissipation by Single and Hybrid Defense System

Ahmed

Ghumman

2019

Water

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In this study, a series of laboratory experiments were conducted to investigate the energy loss through the hybrid defense system (HDS) in the order of dike, moat, and emergent vegetation in steady subcritical flow conditions. The results of HDS were compared with a single defense system (SDS) comprising only vegetation (OV). The dimensions of dike were kept constant while two different shapes (trapezoidal and rectangular) of moat were considered. The impacts of vegetation of variable thickness and density were investigated. Two combinations of HDS were investigated including the combination of dike and vegetation (DV) and the combination of dike, moat, and vegetation (DMV). The effect of backwater rise due to the vegetation, hydraulic jump formation and the impact of the arrival time of floodwater on energy dissipation were investigated. It was observed that on the upstream side of obstructions, the backwater depth increased by increasing the Froude number in both the SDS and HDS. The hydraulic jump observed in HDS was classified and the energy dissipation due to it was calculated. Under various conditions investigated in this paper, the maximum average energy dissipation was 32% in SDS and 46% in HDS. The trapezoidal moat performed better than rectangular moat as energy dissipater. The delay time was also greater with trapezoidal moat as compared to that in rectangular one. The maximum delay time was 140 s in the case of HDS. Hence, the hybrid defense system offered maximum resistance to the flow of water, thus causing a significant energy loss. For each case of SDS and HDS, empirical equations were developed by regression analysis to estimate the energy dissipation amounts.

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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

Cited by 86 publications

References 47 publications

Analyzing the Role of Resource Factors in Citizens’ Intention to Pay for and Participate in Disaster Management

Analyzing the Role of Resource Factors in Citizens’ Intention to Pay for and Participate in Disaster Management

Evaluating the demand for aquaculture insurance: An investigation of fish farmers' willingness to pay in central coastal areas in China

Experimental Investigation of Flood Energy Dissipation by Single and Hybrid Defense System

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