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Emergency Management Strategy (EMS) → Priority Areas
CUFES
Collaboration to strengthen resilience
Understanding of disaster risks in all sectors of society
Focus on disaster prevention & mitigation
Enhance disaster response capacity & development of new capabilities
Strengthen recovery efforts
Flood Risk → Inc in Freq & Sev
Freq → inc in extreme precipitation due to climate change
Sev → development in floodplains
Flood Risk → 2 Key Drivers
Pop growth & urban development
Densification/development of flood-prone areas
Assets concentrated there
Climate Change
Warmer temp inc precipitation
Extreme weather events
Rising sea levels
Pluvial Flooding
Caused by extreme rainfall
Fluvial Flooding
River & ponds overflow
Problems w/ Flood Insurance
High cost of insurance
Cost-prohibitive in high-risk areas
Esp for low-income households
Low risk awareness
Didn’t know flood risk or assume it’s already included
Don’t purchase flood covg or not enough
Don’t invest in property-level protections
Misaligned Incentives
No incentives for homeowners to reduce risk or purchase insurance
Local gov approve land use that inc flood risk → rewarded w/ inc property sales prices & tax revenue
Gov provide free post disaster relief
Traditional Approach vs Flood Risk Management (FRM)
Traditionally → gov build expensive structural controls
Separate ppl & property from sources of flooding
FRM → shares responsibility of flood risk across many stakeholders
Promotes non-structural mitigation to complement other types of mitigation
FRM Responsibilities → Federal Gov
Supporting local efforts to prepare/respond to flood disasters
Providing financial assistance to provincial govs
Monitor contributors to flood risk
FRM Responsibilities → Provincial Gov
Set regulations / policies on land use
Regulate insurance sector
Oversee municipalities
Request federal assistance when needed
FRM Responsibilities → Insurance Industry
Transfer flood risk from homeowners to insurers
Data collection & research
Incentivize policyholders to reduce risk by charging risk-based prem
4 Preconditions for Private Market Success
LIAA
Limited post-disaster financial assistance
Improved public awareness of flood risk
Accurate flood maps
Adequate investments in public/priv flood defences
FRM Responsibilities → Communities & Individuals
Seek info to understand flood risks
Take non-structural & structural mitigation efforts
Flood-proof homes
Purchase adequate flood insurance
Strategic Relocation
Removing asset/property at highest flood risk areas through gov buyouts
Eliminates risk entirely
Issues:
Challenging
Time-consuming
Expensive
Inputs for estimating financial flood risk
Flood hazard → size, magnitude, probability of occurrence
Exposure → ppl & assets which may be affected
Consequence → how much damage flood is likely to cause
Flood Insurance → Australia
Fully privatized market w/ regulation from gov
Voluntary offer & take-up of insurance
Risk-adjusted prem
Not subsidized by gov
Advantage: low cost to gov
Weakness: affordability/availability for high risks
Flood Insurance → France
CatNat scheme
Flood insurance provided thru extension of priv insurance
Uniform 12% surcharge on home insurance to cover natural disasters
Mandatory take-up for mortgages
State-owned reinsurance backed by gov
Strengths: availability, affordability, market penetration
Weakness: uniform surcharge → no incentive for risk reduction
Flood Policy → Guiding Insights
UMAM
Uncertainty
Locate, map & publicize high-risk areas
Market Penetration
Leverage gov programs to incentivize purchase of flood insurance in high-risk areas
Bundle flood w/ other perils
Affordability
Negotiate simple def’n of flood insurance affordability
Moral Hazard
Clearly outline exclusions
Avoid incentivizing development in high-risk areas
Flood Insurance → Public Policy Objectives
ARAM-AV
Adequate & predictable financial compensation
w/ efficient claims handling
Risk-informed price signals & mitigation
Reduce incentives that inc flood risk
Affordable for high-risks
Special consideration for marginalized groups
Available for high-risks
In all geographic regions
Max participation
Ensure high uptake in high-risk areas
Value for Money for gov
Cost-effective & sustainable
Flood Policy Objective Trade-Offs
Risk-based pricing → not affordable for high-risk
High gov costs from:
Inc affordability → reduced incentive for risk reduction
Max participation using gov funded subsidies
Lowering cost for gov → shift burden to homeowners & municipalities
Insurance Model → Flat Cap High-Risk Pool
Pool for high-risk homeowners
Min gov intervention
Mandatory offer, optional purchase
Risk-based prem w/ single flat cap
Funded by gov & small levy on all home policies
Insurance Model → Tiered High-Risk Pool
Pool for high-risk homeowners
More gov intervention than flat cap
Mandatory offer
Mandatory purchase w/ mortgage
Homes divided into tiers based on reconstruction costs
Each tier has diff prem cap
Funded by gov w/ higher levy on all home policies
Insurance Model → Public Insurer
UW by Crown corporation
Priv insurers as intermediary
Covers ALL flood risk → not just high-risk
Both offer & purchase mandatory
Prem cap higher than pooled models
Income-based subsidy to inc affordability
Funded by gov & levy on all home policies
Insurance Model → Public Reinsurer
2 Layers
1st layer: Optional purchase of flood covg
Risk-based prem
2nd layer: Mandatory purchase of insurance above limit
Reinsured by Crown corp
Same prem cap & income-based subsidies like Public Insurer model
How is gov backstop used in flood models?
Provides stabilization
Esp in initial years w/ less funds
Capital investment & accumulation of reserves reduces prob of using backstop over time
Evaluating 4 Models → Adequacy & Predictability of Compensation
Flat Cap High-Risk Pool → Avg
Optional purchase may lead to inadequate covg
Tiered High-Risk Pool → Avg
Mandatory purchase for mortgage holders
Public Insurer → Strong
Standardized policy language & covg
Comprehensive bundled flood covg removes ambiguity
Public Reinsurer → Strong
Mandatory 2nd layer ensures major events are covered
Standardized policy language & covg
Evaluating 4 Models → Risk Reduction
Flat Cap High-Risk Pool → Avg
Low prem cap → weak incentive for property-level risk reduction
Tiered High-Risk Pool → Avg
Progressive prem caps → more incentive than Flat Cap
Stronger price signal than Public models bc no income-based subsidies
Public Insurer → Avg
High prem caps → more incentive
But reduced by income-based subdieis
Public Reinsurer → Strong
Balances homeowner & gov mitigation incentives
Evaluating 4 Models → Affordability
Flat Cap High-Risk Pool → Strong
Flat cap highly affordable
But subsidized wealthy homeowners
Tiered High-Risk Pool → Avg
Home value not perfect proxy for wealth
Public Insurer → Strong
Prem cap & income-based subsidy
Public Reinsurer → Avg
Layer 1 may be unaffordable for high risks
Layer 2 has prem cap & income-based subsidy
Evaluating 4 Models → Availability
All models are Strong!
All assume mandatory offer
Challenge in communities w/ limited insurance companies
Evaluating 4 Models → Participation
Flat Cap High-Risk Pool → Weak
Low cap attracts participation
Optional covg leaves substantial residual risk
Tiered High-Risk Pool → Avg
Mandatory for mortgage holders inc participation
Public Insurer → Strongest
Mandatory purchase w/ home insurance
Public Reinsurer → Strong
Layer 1 → optional
Layer 2 → mandatory purchase
Evaluating 4 Models → Value for Money
Flat Cap High-Risk Pool → Weak
Prem caps → significant gov funding
Optional risk → high residual risk
Tiered High-Risk Pool → Avg
Prem caps → gov funding
Mandatory for mortgage-holders → less residual risk
Public Insurer → Strong
Higher gov cost but lowest residual risk!
Economical on a per high-risk home basis
Predictable costs
Public Reinsurer → Strong
Balances gov funding & residual risk
Significant flood events protected
Why is it hard to assess flood risk?
Exposure
Hard to est # of properties affected in future
Due to growing population
Tail Risk Flood Events
Likely not in historical data but can cause significant damage