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Accommodating creative knowledge   Sako Musterd Urban Geography University of Amsterdam
or: The (preferably) Overnight Making of the Creative City Source: Built Environment 2004,  30 (3)
ACRE project objective ,[object Object],[object Object]
Creative industries ,[object Object]
Knowledge intensive industries ,[object Object]
ACRE project focus ,[object Object],[object Object],[object Object]
ACRE – Accommodating Creative knowledge – Competitiveness of European Metropolitan Regions ,[object Object],[object Object],[object Object],[object Object],Amsterdam Barcelona Birmingham Budapest Dublin Helsinki Leipzig Milan Munich Poznan Riga Sofia Toulouse
 
Development paths: wider economic and social contexts; main factors ,[object Object],[object Object],[object Object],[object Object]
Hypothetical ranking of urban regions on deep structural positions Known as (inter)national political and economical decision making centres Internationally known historical-cultural centres Cities with good governance and financial & organisational resources Cities with high-tech or early service profile, never dominated by just one sector Active innovation and technology policy Welcoming and pluralistic
Theory and Reality: Confronting theoretical positions based on deep structural positions with employment and GDP information per region 13 European metropolitan regions   (data for 2000-2006)
Employment in creative and knowledge intensive industries in 13 European metropolitan regions   (data for 2000-2006) 0 - + 0 - - - - + + + + + Theoretical top (structural positions) Medium 19 6 Birmingham Low 11 7 Poznan Medium 16 6 Toulouse Low 16 9 Leipzig Low 19 8 Sofia Low 23 6 Riga Medium 17 14 Milan Low (< 25,000) 16 13 Budapest Medium 18 13 Helsinki High 21 8 Munich High 10 11 Dublin Medium (25-50,000) 10 12 Barcelona High (50,000+) 18 8 Amsterdam GDP per capita in the region in knowledge intensive industries (%) Employment in creative industries (%) City regions
Discrepancy perhaps due current ‘hard’ or ‘classic’  conditions … ,[object Object],[object Object],[object Object],[object Object],[object Object]
Estimated position on hard conditions ,[object Object],[object Object],[object Object],[object Object]
…  or current ‘soft conditions’ … ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Estimated position on ‘soft’ conditions ,[object Object],[object Object]
…  or ‘network’ conditions … ,[object Object],[object Object],[object Object],[object Object]
First empirical results based on our ACRE large-scale surveys among high-skilled employees, managers, and transnational migrants
Percentage of highly skilled employees that ranked indicators as most important, classified as indicators for networks, hard, and soft factors ( red :  > 1 st. dev. above the mean). (n) 100,0%  7,9% 12,5% 15,3% St.dev. (2580) 100,0% 13,9% 32,5% 53,6% Total (229) 100,0% 10,0% 40,2% 49,8% Dublin ( 191) 100,0% 8,4% 30,4% 61,3% Milan ( 192) 100,0% 10,9% 42,2% 46,9% Toulouse ( 198) 100,0% 31,8% 15,2% 53,0% Riga ( 193) 100,0% 16,6% 23,8% 59,6% Poznan (186) 100,0% 14,0% 57,0% 29,0% Munich (180) 100,0% 14,4% 47,8% 37,8% Leipzig (222) 100,0% 10,2% 38,2% 51,1% Helsinki (197) 100,0% 5,1% 24,4% 70,6% Budapest (171) 100,0% 5,8% 39,2% 55,0% Birmingham (200) 100,0% 11,0% 27,0% 62,0% Barcelona (221) 100,0% 26,2% 35,3% 38,5% Amsterdam City Total &quot;soft factors&quot;  &quot;hard factors&quot;  “ networks&quot;  Ranked 1 under networks, hard factors and soft factors
Some conclusions ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

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Presentation Amsterdam Sako Musterd

  • 1. Accommodating creative knowledge Sako Musterd Urban Geography University of Amsterdam
  • 2. or: The (preferably) Overnight Making of the Creative City Source: Built Environment 2004, 30 (3)
  • 3.
  • 4.
  • 5.
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  • 10. Hypothetical ranking of urban regions on deep structural positions Known as (inter)national political and economical decision making centres Internationally known historical-cultural centres Cities with good governance and financial & organisational resources Cities with high-tech or early service profile, never dominated by just one sector Active innovation and technology policy Welcoming and pluralistic
  • 11. Theory and Reality: Confronting theoretical positions based on deep structural positions with employment and GDP information per region 13 European metropolitan regions (data for 2000-2006)
  • 12. Employment in creative and knowledge intensive industries in 13 European metropolitan regions (data for 2000-2006) 0 - + 0 - - - - + + + + + Theoretical top (structural positions) Medium 19 6 Birmingham Low 11 7 Poznan Medium 16 6 Toulouse Low 16 9 Leipzig Low 19 8 Sofia Low 23 6 Riga Medium 17 14 Milan Low (< 25,000) 16 13 Budapest Medium 18 13 Helsinki High 21 8 Munich High 10 11 Dublin Medium (25-50,000) 10 12 Barcelona High (50,000+) 18 8 Amsterdam GDP per capita in the region in knowledge intensive industries (%) Employment in creative industries (%) City regions
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  • 18. First empirical results based on our ACRE large-scale surveys among high-skilled employees, managers, and transnational migrants
  • 19. Percentage of highly skilled employees that ranked indicators as most important, classified as indicators for networks, hard, and soft factors ( red : > 1 st. dev. above the mean). (n) 100,0% 7,9% 12,5% 15,3% St.dev. (2580) 100,0% 13,9% 32,5% 53,6% Total (229) 100,0% 10,0% 40,2% 49,8% Dublin ( 191) 100,0% 8,4% 30,4% 61,3% Milan ( 192) 100,0% 10,9% 42,2% 46,9% Toulouse ( 198) 100,0% 31,8% 15,2% 53,0% Riga ( 193) 100,0% 16,6% 23,8% 59,6% Poznan (186) 100,0% 14,0% 57,0% 29,0% Munich (180) 100,0% 14,4% 47,8% 37,8% Leipzig (222) 100,0% 10,2% 38,2% 51,1% Helsinki (197) 100,0% 5,1% 24,4% 70,6% Budapest (171) 100,0% 5,8% 39,2% 55,0% Birmingham (200) 100,0% 11,0% 27,0% 62,0% Barcelona (221) 100,0% 26,2% 35,3% 38,5% Amsterdam City Total &quot;soft factors&quot; &quot;hard factors&quot; “ networks&quot; Ranked 1 under networks, hard factors and soft factors
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