Verband Region Stuttgart The use of Fact and Figures Kräfte bündeln Thomas Kiwitt Managing Director
Industrial sector and gross value added Region Stuttgart Baden-Württemberg Region Mailand Region Barcelona Deutschland Region Düsseldorf-Ruhrgebiet Region Prag Region Birmingham Region München Region Frankfurt Region Hamburg Region Wien 23,3% 22,6% 20,5% 20,3% 20,0% 25,8% 32,8% 31,9% 29,8% 28,4% 39,4% 38,6% Anteil des produzierenden Gewerbes an der Bruttowertschöpfung 2008 Datenquelle: Statistisches Landesamt Baden-Württemberg Strong dominance of industrial sector
Economic Structure Automotive 5,2% 33,3% 49,7% Mechanical Engineering 22,6% 21,6% 21,8% Turnover Employees Companies Electrical Engineering 7,8% 9,5% 12,3% Metal processing 5,3% 12,1% 17,2% Strong dominance of Automotive / Engineering: 3/4 of turnover 1/2 of employees
International competiveness: Export turnover Region München 69,5% Region Stuttgart 59,7% Region Rhein-Main Region Köln/Bonn Baden-Württemberg Deutschland Region Berlin Region Dresden Region Leipzig/Halle Region Hamburg 26,2% 30,8% 39,0% 39,0% 44,4% 51,6% 50,0% 49,9% Anteil des Auslandsumsatzes am Gesamtumsatz des verarbeitenden Gewerbes 2010 Datenquelle: Strukturbericht Region Stuttgart 2011,
Innovative capacity Baden-Württemberg Ile de France (FR) Bayern Berlin Finnland Dänemark Schweden Hessen Luxemburg (Grand-Duché) Noreste (ES) Bremen Centre-Est (FR) Sachsen Nordrhein-Westfalen East of England (UK) Österreich Comunidad de Madrid (ES) South East (UK) Slowenien 58,6 57,5 56,0 55,3 54,1 53,8 52,6 49,4 49,2 48,7 46,7 46,7 46,0 44,9 44,5 44,0 44,0 43,6 72,1 Innovationsindex für die Länder bzw Regionen der Europäischen Union und die Regionen Baden- Württembergs 2012 Datenquelle: Statistisches Landesamt Baden-Württemberg
R & D Invest / GDP Region Stuttgart 7,1% Region München Baden-Württemberg 3,8% 4,1% Region Dresden Region Rhein-Main Deutschland 2,3% 2,1% 1,9% Region Köln/Bonn 1,2% Region Berlin 1,2% Region Hamburg Region Leipzig/Halle 0,4% 1,1% Anteil der internen FuE-Aufwendungen der Wirtschaft am Bruttoinlandsprodukt 2009 Datenquelle: Strukturbericht Region Stuttgart 2011, IHK Region Stuttgart
Patent applications Region Stuttgart 408,4 Region München 211,3 Region Rhein-Neckar 91,8 Baden-Württemberg 236,5 Deutschland 108,7 Patentanmeldungen je 100000 Erwerbstätige 2009 Datenquelle: DPMA, Prognos AG
Patent applications by company national ranking Robert Bosch GmbH (1) Daimler AG (2) Dr Ing h c F Porsche AG (14) MAHLE International GmbH (34) Behr GmbH & Co KG (35) MANN + HUMMEL GMBH (43) 144 140 111 405 2 014 Datenquelle: DPMA 3 602
Current economic strenght not necessarily the result of sucessful regional planning and regional development Few of this numbers can really be influenced by regional policy But: How are frame conditions for future development optimized - especially in spatial / administrativ terms? Collection / use of data follws that task
Collecting facts and figures Why? Current position Where are we? Development Where we are coming from and where we are going? Strength, opportunities What are we good at? Challenges, problems - What is not so good? Input for political programs and decision making Figures are an important support for municipalities within the region - Data also available for GI-Systems
Data base and surveys Many aspects covered by official statistics agencies (eg ESPON, Eurostat, national, federal state) Problem: - Region no NUTS unit, - not all aspects covered, relevant comparisons missing Own research / resp in cooperation with experts / Universities Economic development Every 2 years on specific topics, in cooperation with trade unions, chamber of commerce, external experts Regional Monitor Every 5 years; Focus on aspects with spatial relevance Traffic / transportation date Base for transportation planning, Specific surveys, Modell / scenario Open space, Size and quality, Landscape Studies on renewable energies, climate change Qualitative aspects often covered, described - What is the story behind the numbers?
Planning (for) the future with yesterday data? Many aspects are not predictable some examples Economy export oriented - depending from foreign markets - Example: Vulcano in Iceland Dashboards in Malaysia car oriented price of oil crucial for combustion engines Demography Migration based on uncertain aspects Jobs available, market situation? Demand for land No methodology to predict necessary dimension Key issues are uncertain No crystal ball available! Data is not supposed to deliver answers - But to trigger discussion about possible measures and options No automatism
Data as basis for decission-making Little effect from data alone - measures have to be added Important aspects: Which tendency / figures can really be influenced? What else do we need to know to use resources efficient? Keeping uncertainties in mind stay flexible! Broad variety of Indices - what is useful to describe situation? Or: The results depends on the indices chosen! We are always better in our own surveys The purpose of the surveys / data collection defines the design: For decision making: Reliable! For Marketing: It s good to be good For Lobbying like money for streets it s better to be less lucky
Statistic: Like lamp posts for a drunken man more for support than for enlightenment Make sure, that all your lamp posts are at the right places
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