Presentation on Regional OECD Well-being made at the conference "How to recover from the crisis. Cities, communities and smart specialisations" held in Padua, Italy 11-13 September 2014, by Paolo Veneri, Economist (Rural-Urban Linkages) Regional Development Policy Division.
For more information please see www.oecd.org/regional/how-is-life-in-your-region.htm
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Measuring local and regional well being
1. HOW’S LIFE IN YOUR REGION?
Measuring local & regional well-being
for policymaking
12 September 2014
2. Outline
2
1. OECD project on regional well-being: basic information
2. Why look at well-being at local and regional level?
3. A framework for measuring regional well-being
- which dimensions
- which indicators
3. Using well-being metrics for policy-making
4. The way forward in measuring well-being in regions
and cities
3. OECD project on measuring regional well-being
Create a national indicator of Better Life based
on 11 dimensions of well-being according to
the preferences of each user
Work on regional
inequalities in 2,000
regions and 275
metropolitan areas in
OECD
A common
analytical
framework to
measure the
well-being
regionally
An interactive
Web site to
compare welfare
in 362 OECD
regions from 9
dimensions
Case studies in 7
selected OECD
regions
Guidelines to
assist all levels
of government
to use the
indicators of
well-being
&
4. Why look at well-being at local and regional level?
(1/3)
4
• Well-being of people is affected by place-based characteristics
People’s well-being
Material living conditions (e.g. jobs, income)
Individual characteristics
• Not only bridging national & regional data but also contributing to
policymaking. Top-down or bottom-up approach?
Measuring well-being for policy making is essentially a bottom-up approach.
However, a general framework is needed (can be top-down)
The OECD provides:
- A common framework and guidelines on indicators (e.g. common set of
indicators) – Measuring the right things
- Guidelines on how to implement the use of well-being in policy making (built
bottom-up) – Using indicators
e.g. family, education, skills
Place-based factors
e.g. regional labour pool, training, etc.
= +
5. 5
Why look at well-being at local and regional level?
(2/3)
• Key dimensions for people’s well-being have strong regional variations
80
70
60
50
40
30
20
10
0
NLD
DNK
NOR
e.g. Regional differences in youth unemployment rates, 2013 (Figure)
NZL
IRL
JPN
ISR
SWE
AUS
GBR
DEU
AUT
CHL
SVN
CAN
SWE
FIN
HUN
CZE
GRC
FRA
TUR
USA
SVK
PRT
BEL
POL
ESP
ITA
Country value Regional values
6. 6
Why look at well-being at local and regional level?
(3/3)
• Regional disparities in several well-being outcomes come together with
lower well-being performance at the national level.
Fig. Regional disparities and well-being levels in OECD countries, 2013
Income
AUS
AUT
BEL
CHE
CAN
SVN SVK
CHL
DEU
FRA GBR
CZE
DNK
ESP
EST
FIN
GRC
HUN
IRL
ISL
ISR
ITA
JPN
KOR
LUX
MEX
NLD
NOR
NZL
PRT
POL
SWE
TUR
USA
10.00
8.00
6.00
4.00
2.00
0.00
1.00 1.20 1.40 1.60 1.80 2.00 2.20 2.40
Average income (scores)
Regional disparities in income
AUT
BEL
Jobs
CAN
CHE
CHL
DEU
CZE
ESP
FIN
EST
NZL
FRA
GBR
GRC
HUN
ISR
ITA
JPN
KOR MEX
POL
PRT
SVK
SWE
TUR
USA
10.00
8.00
6.00
4.00
2.00
0.00
1 2 3 4 5 6
Average jobs outcomes (scores)
Regional disparities in jobs outcomes
AUS
CAN
AUT
BEL
Education
CHL
CZE
DEU
DNK
ESP
EST
FIN
FRA
GRC
IRL
ISLITA
JPN
LUX KOR
MEX
NLD
NZL
PRT TUR
10.00
8.00
6.00
4.00
2.00
0.00
-2.00
1.00 1.20 1.40 1.60 1.80 2.00
Average education outcomes (scores)
Regional disparities in education outcomes
Access to services
KOR
GBR FIN
EST
AUS
CAN
CHL
CZEESP
GRC
ISL
ISR
ITA
JPN
MEX
NLD
POL
PRT
SVN
TUR
USA
10.00
8.00
6.00
4.00
2.00
0.00
1 1.5 2 2.5 3 3.5
Average access to services (socres)
Regional disparities in access to services
7. 7
A framework for measuring regional well-being
(1/4)
A regional well-being conceptual framework
Main features :
• Measures well-being where people live
• Focus on outcomes rather than output
• Multidimensionality (9 dimensions:
material conditions and quality of life)
• Focus on distributions of outcomes
• Look at complementarity across
dimensions
• Assess how well-being changes over
time (resilience, sustainability)
• It considers that well-being can be
manageable to change by citizens,
governance and institutions
8. 8
A framework for measuring regional well-being
(2/4)
• A multidimensional set of indicators
Dimensions Regional indicators
Material conditions
Income Income levels: Mean and median household market and disposable income
Income distribution: Gini index and Quintile share ratio (S80/S20) for disposable and market income
Relative poverty: Headcount ratios for disposable and market income, with national and regional poverty lines
Jobs Employment rate and part-time employment
Unemployment, Long-term unemployment and Youth unemployment
Women participation rate
Housing Number of room per person
Quality of life
Health status Life expectancy at birth
Age adjusted mortality rate
Education and skills Educational attainments
Competence of 15-year old students (PISA) [only few countries]
Environmental
quality
Air quality (PM2.5)
Loss of forest and vegetation
Municipal waste recycled [only few countries]
Access to green space
Personal security Homicide rate
Car theft rate
Mortality due to transport accidents
Civic engagement Voter turnout
Accessibility to
services
Broadband connection
Unmet medical needs
Share of people having access to public transport (only few countries)
Average distance and travel time from the closest hospital (only few countries)
9. 9
A framework for measuring regional well-being
(3/4)
• Looking at complementarities across dimensions:
Cross-dimensional indicators consist in combining two well-being dimensions,
where the first is measured along the distribution of the second one
Indicator Well-being dimensions considered
Share of students in primary education with no access to food Education – Income
Share of households that devote 30% or more of their income to energy
consumption
Income – Environment
Share of households which cannot afford to keep the house sufficiently warm Income – Housing
Share of individuals with no more than lower secondary education whose health
status limits their activities
Health – Education
Share of individuals with a low level of education who report problems related to
crime in the area where they live
Crime – Education
Health status of long-term unemployed Health – Employment
Unmet medical need among individuals with limited education levels Health – Education
Share of individuals with limited education levels in long-term unemployment Education – Employment
10. 10
A framework for measuring regional well-being
(4/4)
Looking at distributional aspects - Income distribution
• Regional differences between regions can be high, but inequalities within regions
are higher than between regions
• Income inequalities are on average higher in large cities
11. 11
Using regional well-being metrics for policy
making (1/4)
Many regions are trying to design and implement a well-being strategy
• Seven case-study regions having well-being initiatives in place participated in the project.
• Each initiative covers different well-being dimensions
OECD
Southern
Denmark (DK)
Province of
Rome (Italy)
Sardinia (Italy)
Morelos (MX)
North of the
Netherlands
(NL)
Newcastle (UK)
US Partnership
for Sustainable
Communities
TOTAL
Dimensions covered
by the OECD How’s
Life in Your Region?
framework
Income X X X X X 5
Jobs X X X X X X X 7
Housing X X X 3
Education X X X X X X 6
Health X X X X X X 6
Environment X X X X X X X 7
Safety X X X 3
Civic engagement X X X X 4
Access to services X X X X X 5
Additional dimensions
covered by the OECD
Better Life Index at
national level
Social connections X X X 4
Subjective well-being
X X X X 4
Work-life balance X 1
12. 12
Using regional well-being metrics for policy
making (2/4)
Regional well-being measurement cycle: A possible sequencing of steps
Translate well-being
objectives into
policy-relevant
indicators
Select indicators
Identify baselines
and expected results
Foster citizen
engagement
and communication
Monitor progress
and potential of places
Information,
consultation
and participation
The starting point of this well-being
measurement cycle varies across
regions, according to the specific
objective of measuring well-being and
who is leading the process.
13. Using regional well-being metrics for policy
making (3/4)
13
Stakeholders involved in implementing regional well-being initiatives
1
Elected politicians
(hold decision-making
power)
Civil society, citizens, non-governmental
organisations
(provide inputs on expected results and how to achieve
them; public monitoring of results)
Scientific community
(translate objectives into indicators and targets;
help evaluate trends and impact)
Private sector, business associations, labour unions,
institutional stakeholders
(check policy consistency and support for change)
Civil servants
(make policy
objectives explicit)
• Implementing this process of well-being metrics requires the involvement of relevant
stakeholders and constructive interaction among them (e.g. coordination between levels of
governments)
• Need to achieve continuity beyond political cycles
14. Using regional well-being metrics for policy making (4/4)
A web-tool for an user-friendly visualisation of well-being conditions in OECD regions has been
released in the Summer
www.oecdregionalwellbeing.org
15. 15
The way forward in measuring well-being in
regions and cities
Helping national and sub-national policy makers develop a well-being strategy
1) Fostering the statistical agenda
• Improving the measurement of different well-being dimensions
• Measuring additional well-being dimensions
• Individual-level measures of inequality in well-being (not only for income)
• New data production methods for metropolitan areas
2) Well-being reviews (country, regional or metropolitan approach) to help policy makers..
• Develop regional well being metrics that captures people’s daily experience
• Using well-being metrics in their policy cycle (complementarities, coordination, etc)
• Encourage citizens to adapt well being measurement to their needs
16. 16
Final report to be launched on 6th
October 2014 in Brussels
Contacts:
paolo.veneri@oecd.org
regionalwellbeing@oecd.org
Thank you!
Editor's Notes
To adequately inform policy, data need to capture the scale of people’s everyday lives, not necessarily according to administrative units. The territorial lens is important not only for highlighting spatial differences, but to help monitor the results of policy.
Measuring the “right” things (offering indicators) Example of Newcastle (UK): ranks high among UK regions in terms of health service provision, but underperforms in terms of health status => “we are clearly not measuring the right things”
Helping citizens and policymakers to assess the results of policies & monitor progress (using indicators)
Through a common framework of domains & indicators at the most relevant geographic scales possible
To adequately inform policy, data need to capture the scale of people’s everyday lives, not necessarily according to administrative units. The territorial lens is important not only for highlighting spatial differences, but to help monitor the results of policy.
To adequately inform policy, data need to capture the scale of people’s everyday lives, not necessarily according to administrative units. The territorial lens is important not only for highlighting spatial differences, but to help monitor the results of policy.
To adequately inform policy, data need to capture the scale of people’s everyday lives, not necessarily according to administrative units. The territorial lens is important not only for highlighting spatial differences, but to help monitor the results of policy.
To adequately inform policy, data need to capture the scale of people’s everyday lives, not necessarily according to administrative units. The territorial lens is important not only for highlighting spatial differences, but to help monitor the results of policy.
Regions can use well‑being indicators for many purposes, according to their specific priorities and needs. Indicators can help regions identify their relative strengths and weaknesses in well-being, monitor trends and compare them with those in other places. They can also raise awareness on specific well-being challenges. Finally, they can guide policy prioritisation, reflecting what matters most to citizens.
Designing and implementing a regional well‑being strategy based on these three building blocks requires a sequential process within a continuous exchange of information, consultation and participation among different stakeholders (Figure):
Translating well‑being objectives into policy‑relevant indicators. A regional well‑being measurement strategy needs to provide policy makers and citizens with direct information on people’s lives as they are lived in different communities, and on what can be changed through policy to make them better. This requires establishing a clear link between regional well‑being measurement and regional development goals, and aligning policy objectives across and within levels of government.
Selecting indicators. The choice of well‑being indicators needs to reflect local priorities and assets. A deliberative process of consultation should be set up to focus on a limited set of key indicators. These will help reflect objective living conditions against what people perceive, helping to target policy attention towards those in greatest need and make the most of existing information.
Identifying baselines and expected results. Establishing a clear starting point and a range of targets to be achieved helps structure the course of public action around a transparent timeline and intermediate milestones. In a policy environment characterised by uncertainty, building a system of incentives promotes learning and capacity.
Monitoring progress and assessing the potential of different places. Regional well‑being indicators can provide a tool for tracking change over time and identifying the specific assets for development in different communities. This contributes to pooling resources towards policies that maximise a region’s potential for progress.
Fostering citizen engagement and communication of results. Bringing citizens on board from an early stage of the measurement initiative gears efforts towards what matters most to the community and builds momentum for action. Putting in place mechanisms for continuous dialogue allows for a critical assessment of results, facilitates policy adjustments when necessary, and increases accountability and trust.
Improving the measurement of different well-being dimensions
(e.g. Quality of services, education outcomes, etc.)
Measuring additional well-being dimensions
(e.g. Measuring additional well-being dimensions, transport, subjective well-being)
Individual-level measures of inequality in well-being (not only for income)
New data production methods for metropolitan areas
(e.g. Income and employment, access to services)