1 / 10

ESPON project 1.3.3 Integrating culture in European spatial analysis: methods, issues, results

ESPON project 1.3.3 Integrating culture in European spatial analysis: methods, issues, results. ANTONIO PAOLO RUSSO EURICUR Rotterdam Universitat Rovira i Virgili, Tarragona. Methodological problems and limitations. In some cases, data difficult to obtain

cforster
Download Presentation

ESPON project 1.3.3 Integrating culture in European spatial analysis: methods, issues, results

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. ESPON project 1.3.3Integrating culture in European spatial analysis: methods, issues, results ANTONIO PAOLO RUSSO EURICURRotterdam Universitat Rovira i Virgili, Tarragona

  2. Methodological problems and limitations • In some cases, data difficult to obtain • Database collection started from scratch • Inconsistent databases across countries • example: map A.0 • Nature of data • “subjective judgements” on what is culture • Lack of time series: static analysis • Spatial effects not always evident – further elaboration needed • Cross-effects with other ESPON dimensions not always evident / causal relations not always clear AP Russo - ESPON seminar

  3. Output of 1.3.3: base indicators • 20 indicators of CHI – complete EU cover NUTS II or III • Commodity focus. presence, density, potential use pressure of: • Heritage assets – intangible immovable heritage • Heritage “landscapes” – heritage conjuncts with spatial extension • Museums – movable heritage reunited in a place • Productive focus • Cultural professions (% “creative” jobs) • Capacity focus • Cultural diversity (diversity index according to nationalities) • Attainment level (% highly educed residents) • Other incomplete datasets used to do analysis / case studies • Events, ethnic diversity, university output, etc. AP Russo - ESPON seminar

  4. Output of 1.3.3: regional categories • Classification # 1 based on demand-supply analysis • Define a “market” for cultural assets (main focus on tourism) • Objectives: classify regions by match between (potential) demands and supply of heritage assets • Classification # 2 based on functional specialisations of culture • Rank regions according to their relative and combined specialisation with respect to three main “functional aspects of culture” • Conservation: how likely is a region to “protect” its cultural resources • Production: how likely is a region to produce new cultural assets • Valorisation: how likely is a region to “sell” its cultural resources • Build indices of C, P, and V from ESPON 1.3.3 indicators: “rule of thumb” method! • Maps based on C, P, V rankings and on combined specialisations • Classification # 3 based on cross-thematic analysis of ESPON 1.3.3 and other ESPON projects • Objectives: classify regions by outstanding relations between cultural features and other ESPON measures AP Russo - ESPON seminar

  5. Resulting map • Pale yellow areas: “balance”, unexceptional value of D and S • A few “green” areas (Vienna, Inner London): there’s a lot to see, and also a lot of users. • Pink areas (Brussels, Prague, Berlin): a lot to see but fewer potential users. • Light blue areas: low D, low S • Ochre areas (most of Italy, Cyprus, Manchester, Bratislava): a very high pressure compared to resources • Policies are needed to “upgrade” • All regions would want to be green, red, or pink AP Russo - ESPON seminar

  6. CPV: large urban areas + Highlands, Estonia, Aragon • CP: secondary cities • CV: rural areas • PV: (post)-industrial cities • C: secondary urban centres, rural areas • P: smaller production clusters • V: mostly coastal tourism destinations • POLICY RULE: develop unfocused cultural functions! AP Russo - ESPON seminar

  7. Cross-thematic analysis: main results • Interesting relation between urban structure and cultural attributes • Culture as a socio-economic determinant • Cultural excellence vs. competitiveness (Lisbon Strategy) • Other territorial features analysed vs. culture: • Vulnerability • Accessibility • Diversity AP Russo - ESPON seminar

  8. Key policy implications • LOCAL LEVEL: • Improve regional positioning with respect to regional categories through targeted strategies (e.g. “matrix of tourism development goals”) • REGIONAL / NATIONAL LEVEL: • Development policies based on cultural potentials (see cross-thematic maps) • EU LEVEL: • Standardised inventoring of cultural data and integration of cultural data in EU databases AP Russo - ESPON seminar

  9. Low P, high S Under-exploitation of heritage High P, high S Potential for valorisation of heritage Increase demand (higher gear in cultural marketing) POTENTIAL DEMAND FOR HERITAGE RESOURCES “Balance” Create “alternative” cultural products to satisfy existing demand Capacity building: increase “new” cultural assets and use them in regional promotion strategies Reduce pressure levels (e.g. extreme protection) Low P, low S Cultural capacity deficit High P, low S Heritage at risk (excess demand pressure) SUPPLY OF HERITAGE RESOURCES

  10. Open issues for ESPON 2013 • Database homogenisation • Data formats and methods: a template for EU data accounting? • Culture monitor as a structural ESPON activity • Extension in time/space/content • Obtain time series • Analyse eastern/southern borders of Europe • Social “embedding” of culture • Causal relations / dynamic modelling • From spatial analysis to (transversal and sectoral) policy directives e.g. tourism AP Russo - ESPON seminar

More Related