BSR TeMo/Up-TeMo

Gunnar LindbergNORDREGIO

ESPON Seminar“Territories Acting for Economic Growth:

Using territorial evidence to meet challenges towards 2020”

Inspire policy making by territorial evidence

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

Project Partners

“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”

(1.) The Gini Concentration Ratio  (2.) The Atkinson index  (3.) The 80/20 ratio  (4.) Sigma-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

Analytical “toolbox” / Complex indicators

”Distribution”

”Convergence”

”Targeted/Territorial”

I ndicator BY DE DK EE FI LT LV NO PL RU SE

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

Functional areas: access to cities

Population potential within 50 km Χ Χ

Border crossings

I ndicator BY DE DK EE FI LT LV NO PL RU SE

Households with internet access at home

Χ Χ ( ) Χ

Population with tertiary education

Employment in technology & knowledge sectors

Χ Χ Χ Χ

Gross-domestic expenditures in R&D, business

Χ Χ Χ

Gross-domestic expenditures in R&D, total

Χ Χ

At-risk-of-poverty rate Χ Χ

Severe material deprivation rate Χ Χ Χ

Youth unemployment rate 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.

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.

The Principal Divides (3): Urban–Rural

Migration: trends 2005-2010

Average annual net migration rate 2005 - 2010 according to various territorial typologies in the BSR, NUTS level 3

Border

Non-border

Sparse

Non-sparse

Coast

Inland

Predominantlyurban region

Intermediateregion

Predominantlyrural region

Capital cityregion

Second-tiermetro region

Smallermetro region

Other region

-0.3 %

0.0 %

0.3 %

0.6 %

Typology onurban-rural

regions

Typology onmetropolitan

regions

Externalborderregions

Sparselypopulatedregions

Coastalregions

Net

mig

ratio

n ra

te, a

nnua

l ave

rage

in %

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