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Matera Seminar. ESPON 2.2.3 The Territorial Effects of the Structural Funds in Urban Areas ECOTEC, ECORYS-Nl; IRS; MCRIT; Nordregio; OIR; SDRU. Structure. Focus Towards a typology of urban areas First policy recommendations Challenges for the next phase. Focus.
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Matera Seminar ESPON 2.2.3 The Territorial Effects of the Structural Funds in Urban Areas ECOTEC, ECORYS-Nl; IRS; MCRIT; Nordregio; OIR; SDRU
Structure • Focus • Towards a typology of urban areas • First policy recommendations • Challenges for the next phase
Focus • Work has concentrated on identifying consistent indicators and methods for identifying those urban areas that might be eligible for Objective 2 style programmes in the future – across the EU 27+2 • Assessing the territorial effects of structural funds in urban areas has not been a priority
Towards a typology of urban areas • Economic trends • Changing employment levels • Changing prosperity • Levels of dependency/vulnerability • Economic structure • Social trends • Education levels • Income levels • Health • unemployment • Environmental conditions
Data availability • Common European data sets at NUTS 3 • Nationally available data at NUTS 4 or 5 • Data that is specific to individual urban areas • Through case study analysis • Awaiting data that will become available through the Urban Audit 2
Initial typology • Building on FUAs – using common data (at NUTS 3 level) • Limited economic data • Employment* • GDP* • Economic structure (estimated) • Limited social data • Unemployment* • Education levels • Population levels
Developing the typology • The strength of this typology is that it makes use of comparable datasets enabling robust comparisons to be made across the European territory. • The weakness is that it applies at the NUTS 3 level, is particularly ‘blind’ to sub-urban level difficulties and utilises a limited set of indicators. • An extended typology has been developed, but the data is not available to populate it.
Extended typology The elements of sustainable development – Munasinghe 1993
Components • Multi-criteria analysis • PROMETHEE (Preference Ranking Organization METHod for Enrichment Evaluations) • Status indicators (11) • Performance indicators (17) • But: • from a total of roughly 1,600 FUAs in Europe (including the accession countries and Switzerland) only about 100 FUAs showed a relatively complete set of indicators
First policy recommendations • Urban NUTS 3 areas tend to perform badly in EU 15 (particularly local/regional), an urban focus thus valuable • Not to attempt to undertake a comprehensive assessment of all urban areas in the EU for Structural Fund purposes • To undertake an initial assessment based upon NUTS 3 level data • To use MCA to undertake urban-centred analysis in partnership with urban authorities • To make use of data from Urban Audit 2 to assess the potential role of the Structural Funds in assessing urban–level difficulties
Challenges for the next phase • To assess the effects of the Structural Funds in urban areas • Data from 2.2.1 • Case study analysis • To assess the role of urban typologies in decisions regarding eligibility for Objective 2-style actions • Particularly issues of scale and competence • To test the MCA approach using Urban Audit 2 data • But, resource constraints