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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