diversity within the european territory
TRANSCRIPT
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Diversity within the European territoryA selection of new European maps
ESPON Briefing 1November 2004
Co-financed by the European Community through the Interreg III ESPON Programme
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Theme
The dynamics of economic performance
Hotspots of demographic change
Polycentricity in the European urban system
The diversity of rural-urban relations
Accessibility complex core-periphery patterns
The diverse impacts of EU transport projects oncohesion
The roll-out of Information and CommunicationTechnology
Innovation capacity and R&D with high diversity
Areas of concentrated risks and hazards
An initial analysis of Europes globalcompetitiveness
Corresponding map
Development of the gross domestic product,1995 2001
Components of population development,1996-1999
Potential polycentric regions in Europe
Urban-rural typology
Potential accessibilit y mult imodal, 2001
Change of GDP per capita when implementingTEN/TINA and higher transport costs,2001-2021
Households telecommunications uptake,2002
The importance of Research & Development,2002
Large river flood events recurrence, 1987-2002
World economic potential
Page
4-5
6-7
8-9
10-11
12-13
14-15
16-17
18-19
20-21
22-23
Selected t hemes
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Concept/methodology/measurementGDP per capita is one of the main indicators ofEuropean Cohesion Policy used for illustratingthe state and pace of economic convergence.Current debates on the economic performanceof countries illustrate that it is not only theabsolute values of GDP per capita that are ofinterest here, but also their dynamics and devel-
opment rates. The map reflects the averageannual change in GDP per capita for the timeperiod 1995 to 2001.
Map findingsWithin the EU 15, the four Cohesion Countriesof Greece, Ireland, Portugal and Spain aredominated by regions with comparable highannual change rates, i.e. mostly above 6 percent.
Ireland in particular stands out here with almostall of its regions showing growth rates above 10percent, though in Greece too, a considerablenumber of regions had growth rates of 10 per-cent or more. Note should also be made here ofthe fact that regions with such high growth ratesare rare in other parts of the member states ofthe EU 15.
Another observation deriving from the map iscertainly the higher than average growth rates inregions of the new EU Member States comparedto regions of the former EU 15. It seems herethat the capital regions of the new EU Member
States in general are doing well. In addition, ina few countries such as Poland, Lithuania andSlovakia other regions can be characterised ashaving a good performance and overall havinga balancing effect on the national territories.
As regards the accession countries, the growthrates of Romania have the lowest values as
compared to Bulgaria, where the regions alsostart from a rather low level, however theannual growth rates are somewhat higher.
ConclusionsConsidering not only the nominal GDP percapita, but also the dynamics in terms of annualgrowth rates, helps to better illustrate whichregions are in the process of catching up,
while also pointing out those where there arepotential concentration zones of wealth (regionswith high GDP per capita and high growthrates). This information is of particular interestfor understanding other aspects of territorialdevelopment, which are themselves ofteninterlinked with the economic performance.
The dynamics of economic perf ormance
Page 4 ESPON Brief ing 1
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P roject 3.1, BB R, 2004
Development of the grossdo me st ic prod uct , 1995 2001
Average yearly development of GDP per capita in
Purchasing Power Standards in percent 1995 to
2001*
to below 2
2 to below 4
4 to below 6
6 to below 8
8 to below 10
10 to below 12
12 and more
ESPON Briefing 1 Page 5
EuroGeographics Association for the administrative
boundaries
Origin of data: Eurostat - Regio online, National
Statistical Offices
Regional level: NUTS 3
*Romania 1998 - 2001
Source: ESPONDatabase
This map does not
necessarily reflect the
opinion of the ESPONMonitoring Committee
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Paris
Bruxelles/Brussel
London
Luxembourg
Bern
Amsterdam
Lisboa
MadridRoma
Valletta
Kobenhavn
Oslo
Stockholm
Riga
Vilnius
Tallinn
Helsinki
Minsk
Kishinev
WarszawaBerlin
Praha
Wien Bratislava
Budapest
Ljubljana
ZagrebBeograd Bucuresti
Sofiya
Sarajevo
Skopje
Tirana
Athinai
Ankara
Nicosia
Dublin
Reykjavik
This map does not
necessarily reflect the
opinion of the ESPONMonitoring Committee
ESPON Brief ing 1 Page 7
Population development by components
Population increase with
positive migratory balance and
positive natural balance
positive migratory balance and
negative natural balance
negative migratory balance and
positive natural balance
Population decrease w ith
negative migratory balance and
positive natural balance
positive migratory balance and
negative natural balance
negative migratory balance andnegative natural balance
no data
NB: Cyprus and Malta are not covered by t his map
as there is no comparable migration data available
for the period 1996-99.
Components of populationdevelopment, 1996-1999
EuroGeographics Association for the administrative
boundaries
Origin of data:
EU15 and CCs: Eurostat, Norway and Switzerland:
National Statistical Offices
Regional level:
NUTS 2 for AT, CH, DE, FI, GR, MT, NL, PT, SE, UK
NUTS 3 for other countries
Source: ESPON Database
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Project 1.1.1, Nordregio, 2004 Partly made with Philcarto
This map does notnecessarily reflect the
opinion of the ESPONMonitoring Committee
ESPON Brief ing 1 Page 9
Difference between the European rank of
individual cities and the European rank of the
corresponding Potential Integration Area (PIA)
considering t he main city of each PIA only
The Potential Integration Area includes
neighbouring cities with overlapping potential
commuter areas, w hich could gain f rom co-
operation and a common use of comparative
functional advantages
+516
+100
PIA rank > FUA rank
+50
0
-50
PIA rank < FUA rank
-100
-338
Population of cities according to national
definitions of functional urban areas.
11 175 000
7 650 000
2 900 000
850 000
13 000
Potential polycentricregions in Europe
EuroGeographics Association for the administrative
boundaries
Origin of data: Eurostat, National Statistical Offices,
national experts, Nordregio
UTH delimination: RRG
PIA identification: Nordregio
Source: ESPON Database
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This map does notnecessarily reflect the
opinion of the ESPONMonitoring Committee
ESPON Briefing 1 Page 11
Urban-rural typology, based on population density,
ranking of Functional Urban Areas and land cover
High urban influence, high human intervention
High urban influence, medium human intervention
High urban influence, low human intervention
Low urban influence, high human intervention
Low urban influence, medium human intervention
Low urban influence, low human int ervention
no data
NB: Cyprus, Malta and Norway are not covered by
this map as there is currently no comparable data
on land cover available (cf. CORINE database).
Urban-rural typology
EuroGeographics Association for the administrative
boundaries
Ranking of Functional Urban Areas (FUAs):Origin of data: Eurostat, National Statistical Offices,
national experts
Source: Nordregio, ESPON Database
Population density:
Origin of data: EU25: Eurostat, Norway and Switzerland:
National Statistical Offices
Time reference: 1999
Land cover types:
Origin of data: EEA, Corine Land Cover
Source: ESPON Database
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This map does notnecessarily reflect the
opinion of the ESPONMonitoring Committee
ESPON Briefing 1 Page 13
Accessibility index (EU25+2 = 100)
0 < 20
20 < 40
European
40 < 60 accessibility
below average
60 < 80
80 < 100
100 < 120
120 < 140
European
140 < 160 accessibility
above average
160 < 180
180 and more
In this map, potential accessibility describes the
opportunities (population) to be reached in
Europe, weighted by the time it takes to reach
them. Multimodal accessibili ty expresses the
combined effect of alternative transport modes,
i.e. an aggregated picture of road, rail and air
accessibility for a certain location.
Potential accessibilitymultimodal, 2001
EuroGeographics Association for the administrative
boundaries
Origin of data: Spiekermann & Wegener (S&W)
Source: ESPON Database
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This map does notnecessarily reflect the
opinion of the ESPONMonitoring Committee
ESPON Briefing 1 Page 15
Change of equivalent variation in % of GDP
-1.0 -0.8
-0.8 -0.6
-0.6 -0.4
-0.4 -0.2
-0.2 0.0
0.0 0.2
0.2 0.4
0.4 0.6
0.6 0.8
0.8 1.0
1.0 1.2
no data
Change of GDP per capitawhen implementing TEN/TINAand higher transport costs,2001-2021
EuroGeographics Association for the administrative
boundaries
Origin of data: CGEurope model results
Regional level: NUTS 3
Source: ESPON Database
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This map does notnecessarily reflect the
opinion of the ESPONMonitoring Committee
ESPON Briefing 1 Page 17
Level of telecommunications uptake
very high
high
moderately high
moderate
low
very low
no data
The map focuses on households, combining fixed
telephones, mobile phones, PC access, internet
access and broadband internet access.
Households telecommunicationsuptake, 2002
EuroGeographics Association for the administrative
boundaries
Origin of data: CURDS
Source: ESPON Database
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Project 1.3.1, Geological Survey of Finland, 2003
This map does notnecessarily reflect the
opinion of the ESPONMonitoring Committee
ESPON Briefing 1 Page 21
Flood recurrence
Very low
Low
Moderate
High
Very high
Large river flood eventsrecurrence, 1987-2002
EuroGeographics Association for the administrative
boundaries
Origin of data:
Large flood areas Dartmouth Flood Observatory
Flood areas ESA - Earth observation - Earth online
Rhine At las 2001 IKRS-CIPR-ICBR
Regional level: NUTS 3
Source: ESPON Database
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Project 3.1, CNRS-UMR G ographie-cit s-GDR Liber g o, 2003
NORTHERN
AMERICA
WESTERN
EUROPE
EASTERN
ASIA
South-Eastern
America
Southern
Africa
South-Western
Pacific
This map does not
necessarily reflect theopinion of the ESPON
Monitoring CommitteeESPON Briefing 1 Page 23
GDP 1995 located in a gaussian neighbourhood
span of 1000 km in billions of US $
5000
2500
1000
50 0
25 0
10 0
50
25
10
5
2. 5
1
0
The economic potential of a point at the surface of
the earth is the sum of all local economic
concentrations of GDP weighted by a decreasing
function of distance. The function used in this
analysis is a gaussian function f(d) = exp(-a.d )where f(250 km) = 0.5
World economic potential
Map contour and projection: SAS-MAP revised
by UMR G ographie-cit s
Source of data: World Bank - World population datasheet
Computation of potential ID-IMAG / The Hypercarte Project
Source: ESPONDatabase
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The ESPON programme will seek to furtherdevelop the knowledge available on both thewider trends and the actual impacts of policies.The maps and interpretations presented in thisbriefing therefore present examples of researchactivities and studies that may potentially supportpolicy development at the European as well asthe transnational, national and regional/local
levels.
As the recently adopted (but still not ratified)EU Constitution mentions territorial cohesion asan objective for the European Union, it thusbecomes a challenge to consider the provisionof thorough and continuous knowledge andmonitoring of the dynamics of the Europeanterritory.
The initial findings of ESPON have been includedin policy documents such as the Third CohesionReport, published by the European Commission,and in documents related to meetings organisedby countries holding the EU Presidency. Thevariety of ESPON research themes decided uponby the ESPON Monitoring Committee is intendedto support further policy development and to
detail the new concept of territorial cohesion.
Applied territorial research and other connectedstudies are the building blocks of a systematic
observation of territorial trends and policyimpacts, which allows us to deduce well-foundedpolicy recommendations and implement policymaking that relies upon a broad knowledgebase.
The ESPON programme will strive to provide asolid and innovative framework for a European
research network in the field of territorialdevelopment. The participation of more than100 research institutions has fert ilised theESPON approach and broadened the roots ofESPON thinking and activities throughout theEuropean research community that has shown abroad interest in the European territorialresearch themes as defined in the ESPONprogramme.
An ongoing necessary is however the mainten-ance of a continuing dialogue with policymakers, practitioners and scientists on the finalESPON research results, as this is crucial forensuring that the ESPON results are of practicaluse to policy makers and practitioners.
As part of this dialogue you are welcome to
consult the ESPON website on the full reports(www.espon.lu) and to state your views andproposals in relation to this first ESPON Briefingby e-mail, to [email protected].
Concluding remarks
Page 24 ESPON Briefing 1
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Information on the ESPON programme, the fullproject reports and the partuers involved can befound on www.espon.lu.
The web site provides the possibility to down-load and examine the most recent documentproduced by ongoing ESPON projects.
ISBN 2-9599669-0-2
The ESPON Programme and the partners ofthe projects mentioned
Reproduction is authorised provided the sourceis acknowledged and a copy is sent to theESPON Coordination Unit
Printed in DenmarkNovember 2004
Printed on environmental friendly, chlorine-freepaper
Disclaimer:The content of this document is based on theresearch results provided by the transnational
teams of researchers taking part in the ESPONprogramme. As such, the maps and theircorresponding texts do not necessarily reflectthe opinion of the ESPON MonitoringCommittee.
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The European Spatial Observation Network (ESPON) is set up to support policy
development and to build a European scientific community in the field of territorial
development. The main aim is to increase the general body of knowledge about
territorial structures, trends and policy impacts in an enlarged European Union. The
ESPON programme commenced in 2002.
The purpose of this first ESPON Briefing is to stimulate a dialogue on ESPON results.
As part of this dialogue you are welcome to state your views and proposals by
e-mail to [email protected].
www.espon.lu