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Comparison across cities – the example of German co-operation. Organising co-operation. Most large German cities have their own department for statistics and urban research to support urban planning. - PowerPoint PPT Presentation
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KOSIS association of Urban Audit cities
Comparison across Cities - the example of German Co-operation
Klaus Trutzel
MessagesDiscover the new cohesion policy 2007-13: it opens a wide range of public and private investment opportunities. Public-private partnerships: working together for more competitiveness, innovation and sustained regional growth.EU Cohesion policy means achieving more together Structural Funds investments make enlargement a success for all.Investing in Europe: Regions and cities deliver the Growth and Jobs agenda.
KOSIS-Verbund established in 1981 is an open association of more than 100 European, mainly German municipalities and public institutions promoting the municipal statistical information system. Most large German cities have their own department for statistics and urban research to support urban planning.Cities and other public institutions co-operate in self-governing sub-groups to develop statistical tools and organise urban data collections.The KOSIS association for the Urban Audit is one of them.Organising co-operation http://www.statistik.nuernberg.de/urban-audit
Comparison across cities the example of German co-operation
Comparison across cities the example of German co-operation
Comparison across cities the example of German co-operationCo-operative analysis of the UA with Dashboard *)-2-*) European Statistical Laboratory of the Commissions Joint Research Centre JRC Comparing aspects of one city
German cities long tradition in perception surveysNumber of German UA-cities recently asking citizens about their perception ofSource: Difu German Institute for Urban Affairs
Coordinated perception survey on the quality of life in DE cities Initiated by the KOSIS association of Urban Audit cities Managed by a sub-group of VDSt, the association of German municipal statisticians, chair of the sub-group: Ulrike Schoenfeld-Nastoll, Oberhausen Involving 15 cities not included in the EU sample Conducted by IFAK institute at the same time (Nov.-Dec.2006) as the survey of the EU, with the same questions, same method (telephone interviews), sample size 500 - 1200 per city DG Regio and the German cities group agreed to exchange the data for combined comparisons. Repeated attempts to encourage similar projects in other countries remained without success, so far. The cities can make their own analyses, in addition to common evaluations.
Source: Stefanie Neurauter, Anke Schb, Ulrike Schnfeld-Nastoll presentation in Gera 2007
Diagramm1
-0.41-0.40.10.01
-0.38-0.380.130.02
-0.25-0.510.130.05
-0.18-0.50.160.12
-0.33-0.170.270.06
-0.25-0.230.290.06
-0.28-0.220.260.12
-0.28-0.160.380.06
-0.38-0.140.230.03
-0.37-0.150.230.03
-0.3-0.250.280.07
-0.27-0.130.320.05
-0.26-0.170.270.17
-0.41-0.180.180.04
-0.29-0.290.220.1
-0.35-0.180.280.04
-0.23-0.210.290.14
-0.32-0.10.330.11
-0.29-0.120.370.09
-0.28-0.10.360.13
-0.17-0.20.310.2
-0.28-0.10.40.13
-0.23-0.090.350.13
-0.14-0.140.30.36
-0.16-0.060.430.21
KH = knowledge hub, NS = national service centre, EC = established capitalfrom "State of the EU cities report" by ECOTEC e. a.
Somewhat disagree
Strongly disagree
Somewhat agree
Strongly agree
It is easy to find a new job in the city EU and German perception surveys 2006 (by city type)
Tabelle1
Tabelle1
-0.41-0.40.10.01
-0.38-0.380.130.02
-0.25-0.510.130.05
-0.18-0.50.160.12
-0.33-0.170.270.06
-0.25-0.230.290.06
-0.28-0.220.260.12
-0.28-0.160.380.06
-0.38-0.140.230.03
-0.37-0.150.230.03
-0.3-0.250.280.07
-0.27-0.130.320.05
-0.26-0.170.270.17
-0.41-0.180.180.04
-0.29-0.290.220.1
-0.35-0.180.280.04
-0.23-0.210.290.14
-0.32-0.10.330.11
-0.29-0.120.370.09
-0.28-0.10.360.13
-0.17-0.20.310.2
-0.28-0.10.40.13
-0.23-0.090.350.13
-0.14-0.140.30.36
-0.16-0.060.430.21
Somewhat disagree
Strongly disagree
Somewhat agree
Strongly agree
It is easy to find a new job in the city EU and German perception surveys 2006 (by city type)
Tabelle2
Tabelle3
disagreeagreeTop agree-mentLeast agree-ment
Diagramm1
-0.12-0.840.020
-0.18-0.770.020
-0.27-0.680.020.01
-0.15-0.680.080.02
-0.42-0.410.090.02
-0.27-0.540.080.02
-0.41-0.40.10.01
-0.37-0.410.10.01
-0.14-0.130.310.12
-0.23-0.090.350.13
-0.16-0.170.360.15
-0.22-0.140.470.08
-0.21-0.110.40.13
-0.14-0.140.30.36
-0.16-0.060.430.21
-0.17-0.060.40.29
KH = knowledge hub, EC = established capital, IC = modern industrial centre, TP = transformation pole, GW = gateway, PC = reg. public service centre, RM = regional market centre, DI = de-industrialised city; from "State of the EU Cities Report by ECOTEC e.a.
Somewhat disagree
Strongly disagree
Somewhat agree
Strongly agree
It is easy to find a new job in the city EU and German perception surveys 2006 (by degree of agreement)
Tabelle1
Tabelle1
-0.12-0.840.020
-0.18-0.770.020
-0.27-0.680.020.01
-0.15-0.680.080.02
-0.42-0.410.090.02
-0.27-0.540.080.02
-0.41-0.40.10.01
-0.37-0.410.10.01
-0.14-0.130.310.12
-0.23-0.090.350.13
-0.16-0.170.360.15
-0.22-0.140.470.08
-0.21-0.110.40.13
-0.14-0.140.30.36
-0.16-0.060.430.21
-0.17-0.060.40.29
KH = knowledge hub, EC = established capital, IC = modern industrial centre, TP = transformation pole, GW = gateway, PC = reg. public service centre, RM = regional market centre, DI = de-industrialised city; from "State of the EU Cities Report by ECOTEC e.a.
Somewhat disagree
Strongly disagree
Somewhat agree
Strongly agree
It is easy to find a new job in the city EU and German perception surveys 2006 (by degree of agreement)
Tabelle2
Tabelle3