resilience framework: the resilience of eu members states ... · states to the global crisis anna...
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The European Commission’s
science and knowledge service
Joint Research Centre
Composite Indicators and Scoreboards
Community of Practice
November 8, 2018, Ispra
Resilience Framework: The
Resilience of EU Members
States to the Global Crisis
Anna Rita Manca EC-JRC Finance and Economy Unit
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Integrating the resilience approach into the policymaking cycle is a challenge A first synthesis analysis for Europe in a 2015 conference
We need a comon framework using a systems approach
We need a common framework using a systems
approach
(Picture from Adobe Stock)
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in consultation with Commission-wide Research Network on
Measuring Resilience (Resil.net)
JRC developed a conceptual framework for resilience
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Bring resilience
thinking into policies Objectives
Foster the monitoring of resilience
− An operational framework
− Indicators to cover the full system
− Beyond stability: adaptation and transformation at core
− Beyond aggregate policies, look at citizens, communities, regions, …
− Beyond single policy areas
Prevention
Preparation
Promotion
Protection
Transformation
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What is resilience?
Resilience is the ability of a system/society to deliver its
current level of societal wellbeing, without
compromising that of future generations, even when
facing shocks and persistent structural changes.
I.e., to stay on the original
sustainable development
path, or move to the new
one.
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Time and resilience capacities
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The system view
Extending Costanza et al. (1997)
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Measurement strategy:
a three-step-approach
towards a dashboard
System variables
Indicators of resilience
Resilience characteristics
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Resilience to the 2008-2012
financial and economic
crisis
− Which countries showed more (less) resilience
during and after the crisis?
− Which are the country characteristics associated
with resilient behaviour?
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System variables
Indicators of resilience
Resilience characteristics
Measurement strategy:
a three-step-approach
towards a dashboard
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Natural capital
Human capital
Social capital
Built capital
INSTITUTIONS
-Markets
-Business and R&D
-Infrastructures
-Policies
-Communities
2008-2
012 c
risis
Consumption
Investment
Wellbeing
Production
process
Negative outcomes
Eco-system services
Socio-system services
Resilience of assets
Resilience of the engine
Resilience of outcomes
Step 1: system variables
Human capital
Built capital
Social capital
Socio system services
Markets
Communities
Consumption
Investment
Wellbeing
Negative outcomes
Business and R&D
Policies
2008-2012 crisis
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Selecting the system variables
− Drawing on various socio-economic indicator sets
− European Pillar of Social Rights − Macroeconomic Imbalance Procedure − Sustainable Development indicators − Europe 2020 strategy − Quality of Life indicators − …
− Selection criteria
− Spanning our system in a balanced way − Exhibiting a substantial variation during the crisis − Covering individual and societal wellbeing “beyond GDP” − Sufficient coverage in time and across countries
− A final list of 34 variables
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34 system variables
ASSETS ENGINE OUTCOMES
CORE
Investment Government deficit Government debt Household loans House prices Inflation Labour productivity Corporate loans Private debt Stock prices
Employment rate GDP Unemployment rate
SYSTEM
Exp. on education Exp. on health Fairness Trust in people Stock of dwellings*
Exp. on labour market programs Expenditure on R&D Trust in EP Trust in legal system Social activity Share of temporary work Wages
HH. consumption Household income Life satisfaction Happiness Health Income inequality NEET** Social exclusion
* Accommodation units
** Youth not in Education, Employment or Training
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System variables
Indicators of resilience
Resilience characteristics
Measurement strategy:
a three-step-approach
towards a dashboard
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Impact
2.1. Metrics for individual system variables
Time 2007 2016
Medium-Run
Recovery
A
B
C
Bouncing forward
Just recovering
Still to recover
Impact Absorption
Recovery Absorption/ Adaptation
Medium-Run Adaptation
Bounce-Forward
Adaptation/ Transformation
Step 2: Metrics and indicators of resilience
System Variable
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The “no shock” counterfactual?
GDP dynamics at country level
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Return to the previous path if that remained sustainable
or
Switch to a new one if the previous one is no longer sustainable
Choosing the benchmark for evaluation
Original development path
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2.2: Constructing the resilience (composite) indicators from
metrics: Impact
Medium-run and bounce forward available as supplementary slides
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Visualizing the three main resilience indicators
IMPACT MEDIUM RUN
Good absorption does
not necessarily imply
good adaptation
and vice-versa
BOUNCE FORWARD
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System variables
Indicators of resilience
Resilience characteristics
Measurement strategy:
a three-step-approach
towards a dashboard
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Identify resilience characteristics, determinants of resilience to compile a dashboard of characteristics
Resilience characteristics are
features of countries that
influence their resilience.
They cover broad aspects of the
society, institutions and policies.
Pre-determined, multi-year
averages, that can be monitored
continuously, even in the
absence of a shock.
Over 200 tested, mostly from
the WEF Competitiveness Index
Step 3: Characteristics of resilience
Broad aggregation Example of variables
Government expenses
- Social expenditure
- Expenditure on education
- R&D expenditure
- Exp. on labour market programmes
Education
- PISA results
- Population with tertiary education
Quality of Government
- Ease of doing business
- Government effectiveness
- Political stability
- Regulatory quality
- Rule of law
- Trade openness
- Voice and accountability
Digital development - Connectivity
- Digital skills
- Integration of digital technology
Health status
- Chronic illness
- Fertility rate
Innovation and R&D - Eco-innovation index
Economic performance - GDP growth
- Investment share
- Government indebtedness
Gender equality - Gender equality index
Labour market - Employment rate
- Unemployment rate
- Share of routine
Social cohesion
- Trust towards institutions
- Trust towards your neighbour
- Perception of fairness
- Poverty
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Characteristics for the three resilience indicators
Expenditures in social protection as prime resilience characteristic
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A purely illustrative dashboard
It offers entry points for monitoring resilience and for policy interventions. But would be important to extend to multiple „big decline episodes”
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From countries to regions (NUTS2)
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On the data collection effort
− Official data sources
− Time series coverage
(points before, during, after
and well after the crisis) –
in at least 60% of the units
− A bit less demanding for
characteristics
− Variables has been selected according to their
dynamic response to the
We check if the pre-crisis linear trend was broken in at
least 50 (or 40) % of the NUTS1 regions
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System variables obtained
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System variables obtained
Variable source NUTS2
NUTS1
regions
available
flatness
at NUTS1
NUTS2
available
regions
(without
imputatio
n)
Variable source NUTS2
NUTS1
regions
available
flatness
at NUTS1
NUTS2
available
regions
(without
imputatio
n)
educated
_labourEurostat
(28/03/2018)1 100% 86% 95% wages
Eurostat
(07/08/2018)1 82% 87% 93%
education
_levelEurostat
(26/04/2018)1 99% 73% 97%
employm
entEurostat
(06/03/2018)1 100% 84% 95%
fairness ESS 0 72% 38% 41% gdpEurostat
(08/08/2018)1 100% 97% 97%
migration
_rateEurostat
(01/03/2018)1 100% 72% 96% health
SILC/
GSOEP(for DE)/
BHPS (for UK)
1 66% 73% 26%
trust_peo
pleESS 1 72% 40% 41%
hh_incom
eEurostat
(15/03/2018)1 98% 84% 97%
female_e
mployme
nt
Eurostat
(06/03/2018)1 100% 82% 95%
inequality
_s80s20
SILC/
GSOEP(for DE)/
BHPS (for UK)
1 66% 46% 26%
lprodeurostat
elaboration
(08/08/2018)
1 91% 92% 93% lifesat ESS 0 72% 62% 41%
permane
ntLFS 1 95% 62% 65% neet
Eurostat
(21/12/2017)1 99% 84% 95%
rd_gdpEurostat
(27/02/2018)1 63% 82% 89%
stress_dis
ease
Eurostat
(26/09/2016//
01/03/2018)
1 100% 62% 91%
social_we
eklyESS 0 72% 56% 41% suicide
Eurostat
(26/09/2016//
01/03/2018)
1 100% 56% 91%
trust_ep ESS 1 72% 41% 41%unemploy
ed_12mEurostat
(07/08/2018)1 99% 72% 90%
trust_lega
lESS 1 72% 50% 41%
unemploy
mentEurostat
(07/08/2018)1 99% 91% 95%
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Indicator maps: impact
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Indicator maps: impact
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The medium-run
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The medium-run
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Bouncing forward
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Bouncing forward
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Variance decomposition: NUTS0, 1 and 2
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
Impact Medium-run Bounce forward
NUTS0 NUTS1 NUTS2
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Some indicative regression results at NUTS1 level
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Some indicative regression results at NUTS2 level
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Takeaway messages
− Resilience as a general and normative concept
− Perceived versus revealed resilience indicators
− Using characteristics for monitoring
− Implementing the system view at sub-national
level
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•EU Science Hub: ec.europa.eu/jrc
•Twitter: @EU_ScienceHub
•Facebook: EU Science Hub - Joint Research Centre
•LinkedIn: Joint Research Centre
•YouTube: EU Science Hub
Thank you and stay tuned for our
forthcoming Resilience Report
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Supplementary slides
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Impact
Impulse response from
the model
Time t0
Speed of Recovery
A
B
Long-run gain
Long-run decline
Impact Absorption
Speed of Recovery Absorption/ Adaptation
Welfare loss
Long-run Adaptation/
Transformation
A model based alternative for resilience metrics
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A subjective (direct) approach to resilience indicators
Use a direct, subjective measure of
resilience:
- Using surveys for individual resilience
- Using expert opinions for countries,
cities
Impact Absorption
Recovery Absorption/ Adaptation
Medium-Run Adaptation
Bounce-Forward
Adaptation/ Transformation
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2.2: Constructing the resilience (composite) indicators from
metrics: Medium run
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2.2: Constructing the resilience (composite) indicators from
metrics: Bounce forward
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Indicator maps: impact, NUTS0
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Medium-run, NUTS0
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Bounce forward, NUTS0