Transcript Gunnar LINDBERG

Inspire policy making by territorial evidence
ESPON Seminar
“Territories Acting for Economic Growth:
Using territorial evidence to meet challenges towards 2020”
BSR TeMo/Up-TeMo
Gunnar Lindberg
NORDREGIO
Project Partners
Nordregio (Lead Partner) (also in Up-TeMo)
University of Gdansk (also in Up-TeMo)
Aalto University (also in Up-TeMo)
RRG (also in Up-TeMo)
Institute of Geography and Spatial Organization
Polish Academy of Sciences
BGI Consulting Ltd.
Geomedia LLC
“Need to strengthen a policy oriented territorial
analysis
Policymakers, stakeholders and practitioners
involvement during analysis definition,
development and validation”
- Graziella Guaragno, Workshop 1.A (yesterday)
What we have built
Stakeholder driven,
policy centered,
indicator based,
and analytically advanced,
monitoring of territorial dev.
in the BRS region
Added value of TeMo
Regional policy context
It is operational at NUTS 3/LAU2.
Parts of Russia included,
and to some extent Belarus
We show (one way) to analyse
territorial cohesion
Indicators… the “never ending story”
Analytical “toolbox” / Complex indicators
(1.) The Gini Concentration Ratio
(2.) The Atkinson index
”Distribution”
(3.) The 80/20 ratio
(4.) Sigma-convergence
”Convergence”
(5.) Beta-convergence
(6.) The east/west ratio
(7.) The south/north ratio
(8.) The urban/rural ratio
(9.) The non-border/border ratio
(10.) The coast/inland ratio
”Targeted/Territorial”
Indicator
BY
DE
DK
EE
FI
LT
LV
NO
PL
RU
GDP per capita
GDP per person employed
Unemployment rate
Employment rate
Net migration rate
Total population change
Economic dependency ratio
Accessibility potential by road
Χ
Χ
Accessibility potential by rail
Χ
Χ
Accessibility potential by air
Χ
Χ
Multimodal accessibility potential
Χ
Χ
Χ
Χ
Functional areas: access to cities
Population potential within 50 km
Border crossings
SE
Indicator
Households with internet access
at home
BY
DE
Χ
Χ
DK
EE
FI
LT
LV
NO
PL
RU
SE
Χ
Χ
Χ
( )
Population with tertiary education
Employment in technology &
knowledge sectors
Χ
Gross-domestic expenditures in
R&D, business
Χ
Χ
Gross-domestic expenditures in
R&D, total
Χ
Χ
At-risk-of-poverty rate
Χ
Severe material deprivation rate
Χ
Youth unemployment rate
Χ
Χ
Χ
Χ
Χ
Χ
( )
Gender imbalances
Life expectancy at birth
( )
Self-assessed health status
Χ
New soil sealing per capita
Χ
Χ
Χ
Air pollution (PM10)
Χ
Χ
Χ
Fragmentation index
Χ
Χ
Application of the System
Testing of the monitoring system: to establish the functionality of the system
by pushing its analytical capacity in a selection of “real life situations”.
Investigative areas (topics):
• ability to handle cross-cutting issues (territorial cohesion);
• functionality within a pronounced thematic focus (migration);
• functionality to depict a particular geographic scope (border
regions);
• overall benchmarking ability (BSR benchmarked against the
Alpine Space and the North Sea transnational regions).
The Principal Divides (1): East-West
Between more and less affluent countries.
The sharpest divide today can be found
within the socio-economic spheres of
development.
In terms of for instance poverty or health, the
BSR displays a substantial variation.
The Principal Divides (3): Urban–Rural
Between rural and urban areas: with very
few exceptions the rural areas generally
occupy the bottom positions regarding most
aspects of socio-economic development.
The financial crisis also appears to have
affected rural migration harder than any other
type of regions.
And, Some of the most pronounced disparities
in GDP/capita can be found between
urban/rural areas – rather than between
countries.
Migration: trends 2005-2010
Average annual net migration rate 2005 - 2010
according to various territorial typologies in the BSR, NUTS level 3
0.6 %
Net migration rate, annual average in %
Capital city
region
Predominantly
urban region
Coast
0.3 %
Intermediate
region
Second-tier
metro region
Non-border
Non-sparse
Smaller
metro region
0.0 %
Inland
Other region
Border
Sparse
Predominantly
rural region
-0.3 %
Typology on
urban-rural
regions
Typology on
metropolitan
regions
External
border
regions
Sparsely
populated
regions
Coastal
regions
Benchmarking
Benchmarking
Comparison with EU territory
Looking forward!
“Upholding” TeMo
Updating indicators
Adding an “urban”
dimension
Further understanding
of stakeholder needs
Thank you!
http://bsr.espon.eu/opencms/opencms