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Catastrophe Risk Financing A Comprehensive Model? For many countries extreme losses are very large relative to average losses Hotspots Report shows 3 regions where this should automatically be in a CAS- Economic Loss Risks as a Proportion of GDP per Unit Area http://www.ldeo.columbia.edu/chrr/research/hotspots/maps.html If human capital (mortality) is considered South Asia enters the rapid onset picture – African drought is an ongoing economic and social disaster Pattern • International response – relief aid flows in • • • • • quickly (not all useful) A large number of organizations become involved – there may be coordination The initial high powered capacity leaves Assessments are completed – programs agreed Work begins on reconstruction – but is never completed – can be ad hoc Entrepreneurs may take advantage of the poor (e.g. beachside property) Funding tends to be ad hoc and ex post • Often there is no national, state or local risk • • management plan in place If there is it is likely to assume funding sources – donors (often tied), temporary taxes, reallocated capital spending Some countries have catastrophe line items in their annual budgets – but based on avergaes rather than extreme events, and can be captured. Benson - 2003 • Cross sectional study – 115 countries, 1960 – 1993 • Some selection bias but inference that countries with higher disaster incidence tended to have lower growth • Counterevidence tends to be based on short term GDP effects and have a geo hazards selection bias Development implication of not having a risk management strategy • Underinvestment • Infrastructure degradation • The poor are differentially and adversely affected – particularly in rural areas There is now a meta model that could integrate all of this Key issues for TA and Funding • Establishing a viable response capacity ex ante • Building incentives for mitigation investment • Getting essential infrastructure into place immediately after the disaster (e.g. helicopters and clean water equipment needs almost universal) • Developing financial capacity to deal with long term reconstruction Arguments against ex ante funding • Moral hazard – countries will not engage in • • • mitigation – evidence? Not a permissible use of state funds – legal not economic Ex post funding will always be there – not the actual experience after the shouting dies down Cost – are short term officials the right ones to make the trade offs? Arguments for ex ante funding • Forces risk assessment – can encourage • • • • • mitigation effort Less moral hazard than assumed ex post funding Creates immediate liquidity post disaster Work + money = better psychological outcome for the populace The money goes where the losses are – less scope for wastage/ corruption etc Lower post disaster costs States with state sponsored ex ante mechanisms • • • • • • • • • • • Norway France Indonesia South Korea Japan US (California/ Florida/ Flood Insurance Scheme) Taiwan New Zealand Switzerland Turkey Mexico (crop) Ex ante mechanisms • Insurance/ reinsurance • Pools/specialist reinsurers • Capital market instruments – Cat Bonds, • weather insurance Contingent facilities – debt forgiveness, contingent debt Where do they fit? • Residual item after mitigation and other funding sources • As an incentive to support mitigation/ response capacity building When does contingent debt make sense ? • When it is very cheap relative to insurance • When the frequency of events is relatively high – savings/ credit modality • When viable insurance markets (or proxies) cannot be formed • When governments have legal or cognitive problems with insurance Our Ideal product – Contingent Hazard Recovery & Management Loan (CHaRM) • Adjustment characteristics • Rapidly disbursing • Conditionalities based on risk management capacity being built Response capacity in place Post disaster national accounting system in place Risk management institution in place and active Etc • • • • • Not in CAS envelope – but post disaster adjustment capacity Deferred front end fee Low commitment fee Link to risk management TA Long repayment and grace periods Modalities Donors Government Risk Management Agency Response Capacity, Mitigation Incentives DDO/ERL Post-disaster Subsidized Loan and Grant Facility Lifeline infrastructure, the poor and disadvantaged Private Reinsurance/ Cat Bond Markets Cat. Pool Insurers, Property Lenders Formal housing owners, small business DDO Building a response capacity is not Rocket Science – Lisbon 1775 • Population 275,000, alluvial soils, masonry buildings • Earthquake followed by tsunami foillowed by fire Response: • The King retreated to the country • The Chief Minister became coordinator His actions First: • Bury the dead (at sea) and feed the living (initially the job of the army) • Looters convicted and hung on the spot • Secured in situ supplies, instituted pass system, ensured tenants rights After immediate needs dealt with Planned rebuilding: • Sought architectural and engineering advice – invited out of the box thinking - Lisbon changed from a royal to a mercantile city • Introduced earthquake proof building standards – built on the rubble, intriduced metal and timber cross ties (gaiola) –tested the results • Wall design to inhibit the spread of fire • Prefabricated outside city to speed reconstruction • Funding- the Church took over food supply and temporary housing, 4% tax imposed on imports (other taxes temporarily suspended), active efforts to revive economy • Time to complete – 100 years!!