Plenary session 5: The usefulness of the ESPON Scientific Platform for policy makers European Territorial Monitoring System Oriol Biosca, MCRIT SL ESPON Open Seminar 2014 “Opportunities and threats for territorial cohesion: Blue Growth and Urban Poverty”
To provide “a continuous monitoring of territorial trends and structures, so to provide policy relevant information to target groups, for specific type of territories, metropolitan regions, cities and towns, in relation to the policy aims and priorities of the Europe 2020 Strategy, EU Cohesion Policy and the TA 2020”. Aim of the European Territorial Monitoring System
Partners behind the development of the ETMS MCRIT, Barcelona UAB. Autonomous University of Barcelona UNIGE. University of Geneva Nordregio, Stockholm GISAT, Prague
ETMS Web Interface
Main Products: State of Territory & Facts&Figures periodic reports
Main Service: Interactive data analysis tool by territorial specificities
ETMS Indicators Analysis of current policy debates / issues Economy Environment Human capital Social Inclusion Accessibility Around 30 indicators 5 Area Topics time series Including several EU2020 headline indictors
Territories with specificities Cities Transnational Cooperation Areas Analysis of current policy debates / issues Maps by types of territory ETMS Indicators ETMS allows mapping indicators filtering by different territorial typologies and structures Regional typologies (based on NUTS)
Selected examples of maps produced with the EMTS
DG Regio Urban Rural typology: urban – intermediate - rural 1. Maps based on NUTS data by regional typologies eg Birth rate (children per 1000 inhabitants) for “Rural Regions”
ESF/ERDF : less developed – transition - more developed 1. Maps based on NUTS data by regional typologies Eg. Birth rate (children per 1000 inhabitants) for “Less Developed Regions”
EUROSTAT Metropolitan Typology: Capitals - 2nTier – Small Metros 1. Maps based on NUTS data by regional typologies Eg Birth rate (children per 1000 inhabitants) for “Capital Cities”
Mountain ranges as defined in ESPON GEOSPECS 2. Maps for territories with regional specificities (based on LAU) e.g. Old age dependency ratio (% population > 64 / % population 16-64)
Islands as defined in ESPON GEOSPECS e.g. Old age dependency ratio (% population > 64 / % population 16-64) 2. Maps for territories with regional specificities (based on LAU)
e.g. Employment rate (%employed / population 20-64) 3. Maps based on data at City level Large Urban Zones - LUZ
INTERREG Cooperation Areas Maps by Areas of Regional Cooperation Eg Migrations (persons per year) in the Mediterranean and the Northern Peripheries
Analysis of current policy debates / issues Analyses Regional typologies (based on NUTS) Territories with specificities Cities Transnational Cooperation Areas ETMS Indicators Maps by types of territory
Two examples of different territorial resolution in ET 1. Benchmark a region against others in the same typology e.g. Old age dependency ratio for Mountain Massifs in Europe
Two examples of different territorial resolution in ET 1. Benchmark a region against others in the same typology e.g. Old age dependency ratio for Mountain Massifs in Europe
2. Compare selected regions for a given indicator e.g. discontinuities on Birth Rate in the Frenco-Italian border
2. Compare selected regions for a given indicator e.g. discontinuities on Birth Rate in the Frenco-Italian border
Italian regionsFrench regions 2. Compare selected regions for a given indicator e.g. discontinuities on Birth Rate in the Franco-Italian border
3. To compare 2 indicators on a scatter chart e.g. Birth Rate vs Old-Age dependency ratio
Italian regionsFrench regions 3. To compare 2 indicators on a scatter chart e.g. Birth Rate vs ODR in the Frenco-Italian border
4. Time series of indicators by territorial typologies e.g. GDP per capita in different urban/rural areas in Europe
Plenary session 5: The usefulness of the ESPON Scientific Platform for policy makers Thank you Oriol Biosca, MCRIT SL ESPON Open Seminar 2014 “Opportunities and threats for territorial cohesion: Blue Growth and Urban Poverty”