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Focus on Climate Risk: Preliminary Perceptions of Client Needs. Daniel Kull Senior Disaster Risk Management Specialist Global Facility for Disaster Reduction and Recovery (GFDRR) World Bank Geneva, 19 November, 2012. Overview. DPSIR Model
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Focus on Climate Risk: Preliminary Perceptions of Client Needs Daniel Kull Senior Disaster Risk Management Specialist Global Facility for Disaster Reduction and Recovery (GFDRR) World Bank Geneva, 19 November, 2012
Overview DPSIR Model • Driving forces, pressure and state statistics so far manageable • Impacts statistics difficult • Response statistics even more difficult Clients need help to measure changes in resilience • Indicators as part of a results framework • Part of the "country statistics" to be measured regularly What would be useful to define resilience for people, economic systems and ecosystems?
Example resilience data needs • Economic & non-economic losses from climate extremes • GDP per capita is often well correlated with other measures of resilience. • Allows measurement of trends and any improvements due to interventions. • Resilience of ecoystems • Ecosystem services (WAVES partnership) • Ecosystem fragmentation
Example resilience data needs • Cash income at household level • For example % of the population that improves its cash income by a certain amount • Evidence shows financial capacity is linked to adaptive capacity • Some satisfactory coverage already • Diversification of food and/or income sources • Not generally measured as yet • Population dependent on subsistence farming • Rain-fed agriculture as a less satisfactory proxy
Pilot Program for Climate Resilience Measuring Success • Increased capacity to integrate climate resilience into development. • Increased awareness of vulnerabilities and potential impacts. • Scaled-up investments for broader interventions and programming. • Improved coordination among stakeholders. • Capture & transfer of lessons learned. • PPCR Goal = Mainstream climate resilience into development for transformational change • PPCR Pledges to date: US$ 1.1 billion • Focus on 9 countries and 2 regions
PPCR Core Indicators A1. Increased resilience of households, communities, businesses, sectors and society to climate variability and climate change • Change in percentage of households (in areas at risk) whose livelihoods have improved (acquisition of productive assets, food security during sensitive periods of the year) • Change in damage/losses ($) from extreme climate events in areas at risks that are the geographical focus of PPCR intervention • Numbers of people supported by the PPCR to cope with effects of climate change • Percentage of people with year round access to reliable water supply (domestic, agricultural, industrial)
PPCR Core Indicators A2. Strengthened climate responsive development planning • Degree of integration of climate change in national planning - e.g., national communications to UNFCCC, national strategies, PRSPs, core sector strategies, annual development plans and budgets, and NAPs • Changes in budget allocations of all levels of government to take into account effects of climate variability and change B1. Strengthened adaptive outcomes • Vulnerable households, communities and businesses use improved tools, instruments, strategies, activities to respond to climate variability and change
PPCR Core Indicators B2. Improved institutional framework in place • Evidence of strengthened government capacity and coordination mechanism to mainstream climate resilience B3. Use of climate information in decision making routinely applied • X number of climate information products/services used in Y number of climate sensitive sectors in decision making at various levels B4. Improved sector planning and regulation for climate resilience • X number of climate sensitive sectors adopted regulatory reforms that incorporate climate resilience
PPCR Core Indicators B5. Climate responsive investment approaches identified and implemented • Leverage ratio of PPCR funding against public and private investments in climate sensitive sectors • Climate responsive financial instruments/ investment models developed and tested
Conclusions • Link statistics to results frameworks to help to measure longer term and transformational changes • Collect on a regular basis • National, sub-national and local levels • Open data policies