T erritorial D i mension of P overty and S ocial E xclusion (TiPSE)
-
Upload
lucas-langley -
Category
Documents
-
view
26 -
download
3
description
Transcript of T erritorial D i mension of P overty and S ocial E xclusion (TiPSE)
Territorial Dimension of Poverty and Social
Exclusion (TiPSE)
Dr. Sabine Weck
Institut für Landes- und Stadtentwicklungsforschung (ILS)
Population at-risk of poverty and social exclusion, 2011
Data is on NUTS2 or even NUTS1 level only,
thus masking considerable disparities within countries or regions.
We know little about processes and patterns at a micro-regional level across the European territory as regards poverty,
and even less when it comes to social exclusion as a multidimensional process.
TIPSE – Project Overview
Policy questions • Which territories are confronted with high degrees of poverty or social exclusion?
• What policy recommendations follow from a territorial analysis of poverty and social exclusion?
• How can poverty and social exclusion be monitored at territorial level?
Project‘s lifetime February 2012 – November 2014
Project Partner Nordic Centre for Spatial Development, SE (Lead Partner); University of the Highlands and Islands, UK; Newcastle University, UK; Research Centre for Economic and Regional Studies, HU; ILS - Research Institute for Regional and Urban Development, DE; National Centre for Social Research, EL
Research financed by ESPON 2013 Programme, the European Observation Network for Territorial Development and Cohesion
Case Studies
Poverty Mapping:Spatial Microsimulation
Social Exclusion Mapping:• Earning a living• Access to Services• Social environment• Political participation
Set of 10 Case Studies:
In-depth analysis• Education• Access to services in
rural regions• Unemployment• Segregation• Ethnic minorities.
Nu
ts 3
…..
Belo
w N
uts
3
Porto
Albacete
Izmir
Stockholm
Banskobystrický kraj
Case Studies – Some Preliminary Findings
Porto
Albacete
Izmir
Stockholm
Banskobystrický kraj
• Urban - rural and central - peripheral trends and patterns
• Common challenges – migration patterns
• Consequences of the fiscal and economic crisis
• The role of regions and cities
• Need for standardised data on micro-scale level (being aware of their locally specific meaning and significance)