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Measuring multiple dividends
of (un)natural disaster risk
management in Asia
Reinhard Mechler, Thomas Schinko, Stefan
Hochrainer-Stigler, Finn Laurien
High Level Risk Forum, OECD, Paris,
18 – 19 September 2019
Evolution of the DRR discourse
Disasters as acts
of God
Supporting
transitions on
‘unnatural’
disaster risk
Fostering integrated
risk management
transitions
Climate risk
management
Synergistic risk
& development
transformations
Development
challenges,
limits,
opportunity
Questions
How to measure
risk probabilisti-
cally and how
relevant is it?
What are
development
implications of
disaster risk?
What are synergies
of tackling climate
change and disaster
risk?
How to broadly build
resilience wrt to
down-and up-side
risk management?
Dominant
discourses
Epistemological
and instrumental
Epistemological,
Instrumental and
increasingly
participatory
Broad-based
discourse with role
for reflective aspects
Increasing roles for
transformation and
justice
Sendai, Paris &
SDG debates
Understanding &
modelling risk,
decision tools, risk
preference
Socio-economic risk,
risk financing, tools
for stakeholder
dialogue
Multi-criteria
analysis, methods
for participatory and
adaptive learning
Multiple dividends,
integrating equity
and justice issues
Research
contributions
Yokohama Kobe
Research questions
• Reality check: What is the evidence around the
multiple dividends proposition?
• What are relevant decision-support tools for
understanding and effectively generating the
multiple dividends?
– Multiple dividends vs. costs & co-costs of
DRR investments
• Focus on Asia
– Globally the most disaster-prone region
– Many good and best practices to learn from
Towards multiple resilience dividends
• Resilience as ‘bouncing forward’
The ability of a system, community or society to pursue its social,
ecological and economic development and growth objectives, while
managing its disaster risk over time in a mutually reinforcing way.
(Keating et al. 2016)
• Hard vs. soft resilience measure
• Triple dividend framework (Surminski and Tanner, 2016)
1. Avoiding and reducing direct and indirect disaster risk
and (actual) losses
2. Reducing background risk from disasters for unlocking
development
3. Generating development co-benefits that are not
dependent on the occurrence of disaster events
Evidence: DRR activities of Development
Organizations in Hyogo Framework for Action
ADB, 2012
Evidence: ADB DRR-investments focus on
mainstreaming
ADB (2017), Climate Change Operational Framework 2017–2030.
“to optimize multiple benefits from actions in response to the Paris Agreement, the SDGs and the
Sendai Framework.” (ADB, 2017).
Approach builds on creating regional public goods, and creating co-benefits with regard to gender
equity (SDG 5), health (SDG 3), water (SDG 6) and ecosystems (SDG 15) and other SDGs
0
20
40
60
80
100
120
140
2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017
NumberofNewDRRProjects
Year
Total DRR-related Projects
DRR embedded
DRR standalone
Total Number of DRR Standalone and Embedded Projects Run by ADB, 2004–2017
Tool O p portunities Cha llenges Typ ical Application Multiple
D ividends
Exp ert-focused tools for option selection
Cost-Benefit
analysis
(CBA)
Rigorous
framework based
on comparing
costs with
benefits
Need to monetize
all benefits,
difficulty in
representing
intangible
impacts, such as
value of life
Well-specified hard-
resilience projects
with economic
benefits (e.g., flood
risk prevention)
Yes, but most
suitable for
hard resilience
assessment
Cost-
effectiveness
Analysis
(CEA)
Ambition level
fixed, and only
costs to be
compared.
Intangible
benefits,
particularly loss
of life, do not
need to be
monetized
Ambition level
needs to be fixed
and agreed upon
Well-specified
interventions with
important intangible
impacts, which
should not be
exceeded (loss of life,
etc.)
Difficult, CEA
requires well
specified single
objective
Robust
approaches
(RDMA)
Addresses
uncertainty and
robustness
Technical and
computing skills
required
Projects with large
uncertainties and
long timeframes
(context of climate
change where flood
return periods may
become more
uncertain)
In principle,
yes, in practice
difficult, as
requires well-
specified
objective
definition and
quantitative
data
P a rticipatory tools for informing iterative risk management decisions assessment, selection and
m onitoring and evaluation
Multi
Criteria
Analysis
(MCA)
Consideration of
multiple
objectives and
plural values
Subjective
judgments
required, which
hinder
replication
Multiple and systemic
interventions
involving plural
values (e.g. investing
in infrastructure and
education)
Yes, strongly
participative
Adaptation
pathways
Scenario-based
decision-making
at decision points
depending on
future system
changes
Considerable
investment into
scenarios and
stakeholder
interaction
Portfolios Yes, can also be
supported by
decision tools
with
quantitative
outcomes
Capacity &
resilience
assessment
(VCA,
FRMC)
Measure and
monitor capacity
change over
time, aligns with
community-
based decision
process
Cannot be linked
to individual
intervention
assessment, but
program-level
activities
Community-level
resilience assessment
Yes
Decision-support tools for assessing
DRR and resilience investments
Decision-support tools along the DRR
project cycle
Identify
Actions
Select
Implement
Monitor
and
Evaluate
Analyze &
Assess
Lessons
Awareness
Experience
Intuitive
Learning Process
Internally-driven OptionsChallenges
Deliberate
Analytical Process
Externally-driven
Participatory tools
• Adaptation Pathways
• MCA
• CBA (appraisal)
• CEA
• RDMA
Resilience Capacity
measurement
M&E tools
CBA (evaluation)
CBA evidence: “hard” DRR and
resilience investments
R isk management
in tervention
Dividend 1: Loss Dividend 2: Unlocking
De velopment
Dividend 3: Co-benefits
Meteorological
services
Avoided mortality,
improved preparedness
from weather extremes
Utility from weather
predictions
Alternative flood
control approach
Avoided economic,
social, and
environmental impacts:
Recreational benefits,
positive effects on public
safety, landscape and
nature conservation,
benefits of system
functions of wetlands.
Flood management
under climate
change
Reduction in damages
to crops, livestock,
housing, assets, public
infrastructure, health
and wages but co-costs
through waterlogging.
Agricultural productivity
enhanced generally
Community grain and seed
bank
Drought risk
management
Reduced relief
expenditure
Stabilization of income
and consumption
Benefits from installed
irrigation infrastructure
Mangrove
afforestation
against coastal
flooding
Avoided direct and
indirect flood damages
Economic benefits
planters' income,
increased yields,
Ecological benefits (carbon
value, nutrient retention,
sediment retention,
biodiversity habitat
Earthquake-proof
construction using
straw bale
Reduction in lives lost Reduced price of building
materials. Indirect:
Reduced heating/cooling
costs, decrease in child
labor (common for brick
construction), improved air
quality
Evidence: 15 out of 65 CBA studies with multiple
dividend information
Sizeable dividends
BC ratio of 6.7 for 15
multiple-dividend studies
compared to the average
BC of around 5.1 for all 65
studies (low confidence)
Kull et al., 2013
Participatory decision-support tools for
adaptive climate risk management
• MCA
• Adaptation Pathways
• Measuring resilience (capacity)
Participatory decision-support tools for
informing the DRR project cycle
Identify
Actions
Select
Implement
Monitor
and
Evaluate
Analyze &
Assess
Lessons
Awareness
Experience
Intuitive
Learning Process
Internally-driven OptionsChallenges
Deliberate
Analytical Process
Externally-driven
Participatory tools
• Adaptation Pathways
• MCA
• CBA (appraisal)
• CEA
• RDMA
Resilience Capacity
measurement
M&E tools
CBA (evaluation)
Flood Resilience Measurement for
Communities framework and tool (FRMC)
Szoenyi, 2018
FRMC and the dividends
Dividend Human Social Na tural Physical Financial
1st
dividend
Flood protective
behaviour and
knowledge (6)
Flood
regulation
and local
enforcement
(6)
Natural
habitats
maintained
for their flood
resilience
services (1)
Communal Flood
Protection (Flood
controls) (6)
Household
flood
Insurance (6)
2nd
dividend
Non-erosive
flood recovery
knowledge (1)
(0) (0) (0) Household
income
continuity
strategy (7)
3rd
dividend
Population
health status (9)
Social norms
and security
of assets (27)
Sustainable
use of natural
resources (5)
Lifelines
infrastructure
(10)
Government
appropriations
for
infrastructure
maintenance
(4)
Dividends of Resilience and FRMC 5-capital grades for
four selected Asian Countries
FRMC assessment and decision-making
Laurien and Keating, 2019
Conclusions
• Focus on reducing loss of lives, assets and livelihoods has
not been sufficient to shift the DRR investment gap
• Multiple dividends framing being picked up in policy &
investment; not yet in monitoring & little reported evidence
• Insights identified on methods, metrics and evidence appears
promising: good scope for upscaling the use of applicable
methods and metrics
– Traditional decision tools more applicable to hard
resilience type of investments
– For soft resilience measures, participatory tools and
broader assessment methods covering the project cycle
conducive (resilience capacity assessment)

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Measuring multiple dividends of (un)natural disaster risk management in Asia

  • 1. Measuring multiple dividends of (un)natural disaster risk management in Asia Reinhard Mechler, Thomas Schinko, Stefan Hochrainer-Stigler, Finn Laurien High Level Risk Forum, OECD, Paris, 18 – 19 September 2019
  • 2. Evolution of the DRR discourse Disasters as acts of God Supporting transitions on ‘unnatural’ disaster risk Fostering integrated risk management transitions Climate risk management Synergistic risk & development transformations Development challenges, limits, opportunity Questions How to measure risk probabilisti- cally and how relevant is it? What are development implications of disaster risk? What are synergies of tackling climate change and disaster risk? How to broadly build resilience wrt to down-and up-side risk management? Dominant discourses Epistemological and instrumental Epistemological, Instrumental and increasingly participatory Broad-based discourse with role for reflective aspects Increasing roles for transformation and justice Sendai, Paris & SDG debates Understanding & modelling risk, decision tools, risk preference Socio-economic risk, risk financing, tools for stakeholder dialogue Multi-criteria analysis, methods for participatory and adaptive learning Multiple dividends, integrating equity and justice issues Research contributions Yokohama Kobe
  • 3. Research questions • Reality check: What is the evidence around the multiple dividends proposition? • What are relevant decision-support tools for understanding and effectively generating the multiple dividends? – Multiple dividends vs. costs & co-costs of DRR investments • Focus on Asia – Globally the most disaster-prone region – Many good and best practices to learn from
  • 4. Towards multiple resilience dividends • Resilience as ‘bouncing forward’ The ability of a system, community or society to pursue its social, ecological and economic development and growth objectives, while managing its disaster risk over time in a mutually reinforcing way. (Keating et al. 2016) • Hard vs. soft resilience measure • Triple dividend framework (Surminski and Tanner, 2016) 1. Avoiding and reducing direct and indirect disaster risk and (actual) losses 2. Reducing background risk from disasters for unlocking development 3. Generating development co-benefits that are not dependent on the occurrence of disaster events
  • 5. Evidence: DRR activities of Development Organizations in Hyogo Framework for Action ADB, 2012
  • 6. Evidence: ADB DRR-investments focus on mainstreaming ADB (2017), Climate Change Operational Framework 2017–2030. “to optimize multiple benefits from actions in response to the Paris Agreement, the SDGs and the Sendai Framework.” (ADB, 2017). Approach builds on creating regional public goods, and creating co-benefits with regard to gender equity (SDG 5), health (SDG 3), water (SDG 6) and ecosystems (SDG 15) and other SDGs 0 20 40 60 80 100 120 140 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 NumberofNewDRRProjects Year Total DRR-related Projects DRR embedded DRR standalone Total Number of DRR Standalone and Embedded Projects Run by ADB, 2004–2017
  • 7. Tool O p portunities Cha llenges Typ ical Application Multiple D ividends Exp ert-focused tools for option selection Cost-Benefit analysis (CBA) Rigorous framework based on comparing costs with benefits Need to monetize all benefits, difficulty in representing intangible impacts, such as value of life Well-specified hard- resilience projects with economic benefits (e.g., flood risk prevention) Yes, but most suitable for hard resilience assessment Cost- effectiveness Analysis (CEA) Ambition level fixed, and only costs to be compared. Intangible benefits, particularly loss of life, do not need to be monetized Ambition level needs to be fixed and agreed upon Well-specified interventions with important intangible impacts, which should not be exceeded (loss of life, etc.) Difficult, CEA requires well specified single objective Robust approaches (RDMA) Addresses uncertainty and robustness Technical and computing skills required Projects with large uncertainties and long timeframes (context of climate change where flood return periods may become more uncertain) In principle, yes, in practice difficult, as requires well- specified objective definition and quantitative data P a rticipatory tools for informing iterative risk management decisions assessment, selection and m onitoring and evaluation Multi Criteria Analysis (MCA) Consideration of multiple objectives and plural values Subjective judgments required, which hinder replication Multiple and systemic interventions involving plural values (e.g. investing in infrastructure and education) Yes, strongly participative Adaptation pathways Scenario-based decision-making at decision points depending on future system changes Considerable investment into scenarios and stakeholder interaction Portfolios Yes, can also be supported by decision tools with quantitative outcomes Capacity & resilience assessment (VCA, FRMC) Measure and monitor capacity change over time, aligns with community- based decision process Cannot be linked to individual intervention assessment, but program-level activities Community-level resilience assessment Yes Decision-support tools for assessing DRR and resilience investments
  • 8. Decision-support tools along the DRR project cycle Identify Actions Select Implement Monitor and Evaluate Analyze & Assess Lessons Awareness Experience Intuitive Learning Process Internally-driven OptionsChallenges Deliberate Analytical Process Externally-driven Participatory tools • Adaptation Pathways • MCA • CBA (appraisal) • CEA • RDMA Resilience Capacity measurement M&E tools CBA (evaluation)
  • 9. CBA evidence: “hard” DRR and resilience investments R isk management in tervention Dividend 1: Loss Dividend 2: Unlocking De velopment Dividend 3: Co-benefits Meteorological services Avoided mortality, improved preparedness from weather extremes Utility from weather predictions Alternative flood control approach Avoided economic, social, and environmental impacts: Recreational benefits, positive effects on public safety, landscape and nature conservation, benefits of system functions of wetlands. Flood management under climate change Reduction in damages to crops, livestock, housing, assets, public infrastructure, health and wages but co-costs through waterlogging. Agricultural productivity enhanced generally Community grain and seed bank Drought risk management Reduced relief expenditure Stabilization of income and consumption Benefits from installed irrigation infrastructure Mangrove afforestation against coastal flooding Avoided direct and indirect flood damages Economic benefits planters' income, increased yields, Ecological benefits (carbon value, nutrient retention, sediment retention, biodiversity habitat Earthquake-proof construction using straw bale Reduction in lives lost Reduced price of building materials. Indirect: Reduced heating/cooling costs, decrease in child labor (common for brick construction), improved air quality
  • 10. Evidence: 15 out of 65 CBA studies with multiple dividend information Sizeable dividends BC ratio of 6.7 for 15 multiple-dividend studies compared to the average BC of around 5.1 for all 65 studies (low confidence) Kull et al., 2013
  • 11. Participatory decision-support tools for adaptive climate risk management • MCA • Adaptation Pathways • Measuring resilience (capacity)
  • 12. Participatory decision-support tools for informing the DRR project cycle Identify Actions Select Implement Monitor and Evaluate Analyze & Assess Lessons Awareness Experience Intuitive Learning Process Internally-driven OptionsChallenges Deliberate Analytical Process Externally-driven Participatory tools • Adaptation Pathways • MCA • CBA (appraisal) • CEA • RDMA Resilience Capacity measurement M&E tools CBA (evaluation)
  • 13. Flood Resilience Measurement for Communities framework and tool (FRMC) Szoenyi, 2018
  • 14. FRMC and the dividends Dividend Human Social Na tural Physical Financial 1st dividend Flood protective behaviour and knowledge (6) Flood regulation and local enforcement (6) Natural habitats maintained for their flood resilience services (1) Communal Flood Protection (Flood controls) (6) Household flood Insurance (6) 2nd dividend Non-erosive flood recovery knowledge (1) (0) (0) (0) Household income continuity strategy (7) 3rd dividend Population health status (9) Social norms and security of assets (27) Sustainable use of natural resources (5) Lifelines infrastructure (10) Government appropriations for infrastructure maintenance (4)
  • 15. Dividends of Resilience and FRMC 5-capital grades for four selected Asian Countries
  • 16. FRMC assessment and decision-making Laurien and Keating, 2019
  • 17. Conclusions • Focus on reducing loss of lives, assets and livelihoods has not been sufficient to shift the DRR investment gap • Multiple dividends framing being picked up in policy & investment; not yet in monitoring & little reported evidence • Insights identified on methods, metrics and evidence appears promising: good scope for upscaling the use of applicable methods and metrics – Traditional decision tools more applicable to hard resilience type of investments – For soft resilience measures, participatory tools and broader assessment methods covering the project cycle conducive (resilience capacity assessment)