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The Genesis and Evolution of the Stockholm Music Cluster

  • Pontus Braunerhjelm
Chapter
Part of the Advances in Spatial Science book series (ADVSPATIAL)

Abstract

Why do superstars like and Bon Jovi, Britney Spears, Maddona and Ricky Martin, to an increasing extent choose Swedish composers and producers in an industry characterized by extremely fierce international competition? Bergen, Copenhagen, Dublin, London, Los Angeles, Manchester, New York, Paris and Seattle are some of the more prominent competitors to the Swedish – particularly Stockholm – music clusters. What triggered this evolution and which dynamic forces have been decisive in the creation of the Stockholm cluster? Despite the impressive research presented on spatial issues in the last decade, we know surprisingly little about the forces initiating the creation of clusters. Economic geography models originating in the international trade theory literature, view agglomeration as a function of linkages (pecuniary and non-pecuniary), trade costs and scale economies (Krugman 1991; Venables 1996; Fuijita et al. 1996; Braunerhjelm et al. 2000a,b). Still, the focus is rather on the re-location of already existing economic activities than the emergence of new clusters. New constellations of existing clusters that appear as altered trade costs (e.g. due to an integration process) induce a re-shuffling of firms and factors of production, leading to a new pattern of spatial distribution of economic activities. Notwithstanding that these models constitute a true contribution to our understanding of the spatial dimensions of economic activities. Empirical observations also suggest that clusters emerge for quite different reasons, such as exogenous shocks attributed to technological breakthroughs, locational specific factors, historically random events, deregulation, market structure and down-sizing of the government, or the disinvestment of a dominating firm (David 1985; Scott and Storper 1986; Arthur et al. 1987; Arthur 1989; Krugman 1991; Feldman and Francis 2002; Scott 2003; Braunerhjelm and Feldman 2006).

Keywords

Trade Cost Classical Music Music Industry Record Company Music Group 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Notes

Acknowledgements

Constructive comments from David Audretsch, Magnus Henrekson and participants at a seminar held at Indiana University, have helped to improve the manuscript. Financial support from Vinnova is gratefully acknowledged.

References

  1. Alexander PJ (2002) Peer-to-peer file sharing: the case of the music recording industry. Rev Ind Organ 20:151–161CrossRefGoogle Scholar
  2. Allansdottir A, Bonaccorsi A, Gambardella A, Mariani M, Orsenigo L, Pamolli F , Riccaboni M (2002) Innovation and competitiveness in European biotechnology. Enterprise Papers 7, Enterprise Directorate General, European CommissionGoogle Scholar
  3. Arthur B (1989) Competing technologies, increasing returns, and lock-in by historical events. Econ J 99:116–131CrossRefGoogle Scholar
  4. Arthur B, Ermoliev M, Kaniovski M (1987) Adaptive growth processes modeled by Urn schemes. Kibernetika 6:49–57Google Scholar
  5. Autio E, Yli-Renko H (1998) The network embeddedness of new technology-based firms: developing a systemic evolutionary model. Small Bus Econ 11:253–269CrossRefGoogle Scholar
  6. Barnes TJ, Gertler MS (eds) (1999) The new industrial geography: regions, regulations and institutions. Routledge, LondonGoogle Scholar
  7. Borenstein S, Farrell J (eds) (1998) Inside the Pin Factory: Empirical Studies Augmented by Manager Interviews. J Ind Econ 46(2):123–124Google Scholar
  8. Braunerhjelm P, Carlsson B (1999) Industry clusters in Ohio and Sweden, 1975 –1995. Small Bus Econ 12:279–293CrossRefGoogle Scholar
  9. Braunerhjelm P, Feldman M (2006) Cluster genesis. Oxford University Press, LondonCrossRefGoogle Scholar
  10. Braunerhjelm P, Faini R, Norman V, Ruane F, Seabright P (2000a) Integration and the regions in Europe: how the right policies can prevent polarization? Monitoring European Integration 10. CEPR, LondonGoogle Scholar
  11. Braunerhjelm P, Carlsson B, Johansson D, Karaomerliouglu D (2000b) The new and the old: the evolution of biomedical and polymer clusters. J Evol Econ 10:471–488CrossRefGoogle Scholar
  12. Carlsson B (2004) The music industry clusters in Cleveland. Case Western Reserve University, Cleveland, OH (mimeo)Google Scholar
  13. Carlsson B (ed) (2001) Technological systems in the bioindustries. An international study. Kluwer, BostonGoogle Scholar
  14. Carlsson B, Stankiewicz R (1991) On the nature, function and composition of technological systems. J Evol Econ 1:93–118CrossRefGoogle Scholar
  15. Clancy P, Twomey M (1997) Clusters in Ireland. The Irish popular music industry: an application of Porter’s cluster analysis. NESC, DublinGoogle Scholar
  16. Clark L, Feldman M, Gertler M (2000) The Oxford handbook of economic geography. Oxford University Press, New YorkGoogle Scholar
  17. David P (1985) Understanding the Economics of QWERTY. Am Econ Rev 75:332–337Google Scholar
  18. Durkan J (1994) The economics of the art in Ireland. The Arts Council, DublinGoogle Scholar
  19. Enright M (1996) Regional clusters and the economic development: a research agenda. In: Staber U, Schaefer N, Sharma B (eds) Business networks: prospects for regional development. Walter de Gruyter, New YorkGoogle Scholar
  20. EU (2001) 2001/29/EG, On the harmonisation of certain aspects of copyright and related rights in the information society. Accepted on May 22, 2001, and can be found at http://europa.eu.int/information_society/topics/multi/digital_rights/doc/directive_copyright_en.pdf
  21. Feldman M, Francis J (2002) Entrepreneurs and the formation of industrial clusters. University of Toronto, Toronto (mimeo)Google Scholar
  22. Financial Times (2003a) Music beats the drum for online sales. 6 June 2003Google Scholar
  23. Financial Times (2003b) Sony plans to merge music arm with BMG. 16 Oct 2003Google Scholar
  24. Florida R (2002) The rise of the creative class. Plersus, New YorkGoogle Scholar
  25. Forss K (1999) Att ta sig ton – om svensk musikexport 1974–1999. Ds 1999:28, Expertgruppen för studier i offentlig ekonomi, Finansdepartementet (Ministry of Finance)Google Scholar
  26. Forss K (2003) The export of Swedish music industry 2002. Report from Music Sweden Industry, StockholmGoogle Scholar
  27. Frostling-Henningsson M, Jacobsson A (2003) Downloading of music from a consumer’s perspective. Markets in the Information Age. The Swedish Competition Authority, StockholmGoogle Scholar
  28. Fuijita M, Krugman P, Venables A (1999) The spatial economy. Cities, regions and international trade. MIT, Cambridge, MAGoogle Scholar
  29. Fujita M, Thisse J-F (2002) Economics of agglomeration. Cities, industrial location and regional growth. Cambridge University Press, CambridgeCrossRefGoogle Scholar
  30. Gallaway T, Kinnear D (2001) Unchained Melodt: a price-discrimination based policy proposal for addressing the MP3 revolution. Rev Ind Organ 35:279–287Google Scholar
  31. Gordon I, McCann P (2000) Industrial clusters: complexes agglomeration and/or social networks. Urban Stud 37:513–532CrossRefGoogle Scholar
  32. Government bill (2002) Regeringens proposition 2001/02:150, Lag om elektronisk handel och andra informationssamhällets tjänster. Stockholm, 14 Mar 2002 (Government bill on Electronic Trade implemented on July 1, 2002), downloadable at http://naring.regeringen.se/propositioner_mm/propositioner/pdf/p200102_150.pdf
  33. Hallencreutz D (2002) Populärmusik, kluster och industriell konkurrenskraft, En ekonomisk-geografisk studie av svensk musikindustri. Doctoral thesis, Department of Social and Economic Geography, Uppsala UniversityGoogle Scholar
  34. Hallencreutz D, Lundequist P, Malmberg A (2004) Populärmusik från Svedala. Näringspolitiska lärdomar av det svenska musikundrets framväxt. SNS, StockholmGoogle Scholar
  35. Hellmer S (2003) Will music file sharing over the internet influence the commercial market for pre-recorded music? Markets in the Information Age. The Swedish Competition Authority, StockholmGoogle Scholar
  36. Hesmondhalgh B (1998) The British dance music industry: a case study of independent cultural production. Br J Sociol 49:234–251CrossRefGoogle Scholar
  37. Hirsch PM (1972) Processing fads and fashions: an organization-set analysis of cultural industry systems. Am J Sociol 77:639–659CrossRefGoogle Scholar
  38. Hui KL, Png IPL (2003) Piracy and legitimate demand for recorded music. B E J Econ Anal Policy 2:1–30. http://www.comp.nus.edu.sg/lu
  39. Klepper S (2004) The geography of organizational knowledge. Carnegie Mellon University, Pittsburg (mimeo)Google Scholar
  40. Krueger A (2002) Music sales slump, concert ticket costs jump and rock fans pay the price. The New York Times, 17 Oct 2002Google Scholar
  41. Krugman P (1991) Geography and trade. MIT, Cambridge, MAGoogle Scholar
  42. Lee R, Willis J (1997) Geographics of economies. Arnold, LondonGoogle Scholar
  43. Lofthus KR (2002) Cited in Expressen, 16 Mar 2002 Article by Lindwall JT and Nordström AGoogle Scholar
  44. Lundequist P (2002) Spatial clustering and industrial competitiveness – studies in economic geography. Dissertation No. 48, Department of Social and Economic Geography, Uppsala University, UppsalaGoogle Scholar
  45. Maggioni M (2006) Mors tua, vita mea? The rise and fall of innovative industrial clusters. In: Braunerhjelm F (ed) Cluster genesis. Oxford University Press, OxfordGoogle Scholar
  46. Martin P, Ottaviano G (1999) Growing locations: industry location in a model of endogenous growth. Eur Econ Rev 43:281–302CrossRefGoogle Scholar
  47. Martin P, Ottaviano G (2001) Growth and agglomeration. Int Econ Rev 42(4):947–968CrossRefGoogle Scholar
  48. Maskell P, Malmberg A (1999) Localized learning and industrial competitiveness. Cambridge J Econ 23:167–185CrossRefGoogle Scholar
  49. Maskell P, Eskelinen H, Hannibalsson I, Malmberg A, Vatne E (1998) Competitiveness, localized learning and regional development: specialization and prosperity in small open economies. Routledge, LondonCrossRefGoogle Scholar
  50. Music Board of Ireland (2002) The economic significance of the Irish music industry. Music Board of Ireland, DublinGoogle Scholar
  51. Negus K (1992) Producing pop: conflicts and culture in the popular music industry. Edward Arnold, LondonGoogle Scholar
  52. Nelson R (1993) National systems of innovations. A comparative analysis. Oxford University Press, OxfordGoogle Scholar
  53. OECD (2004) OECD statistical database via InternetGoogle Scholar
  54. Porter ME (1990) The competitive advantage of nations. MacMillan, LondonGoogle Scholar
  55. Porter ME (2000) Location, competition, and economic development: local clusters in a global economy. Econ Dev Q 14:15–34CrossRefGoogle Scholar
  56. Quah D (1999) The weightless economy in growth. Bus Econ 30:40–53Google Scholar
  57. Saxenian A (1994) Regional networks: industrial adaptation in Silicon Valley and route 128. Harvard University Press, Cambridge, MAGoogle Scholar
  58. Saxenian A (1999) Silicon Valley’s new immigrant entrepreneur. Public Policy Institute of California, San FranciscoGoogle Scholar
  59. Scherer F (1986) On the current state of knowledge in industrial organization. In: De Jong H, Shephard W (eds) Mainstreams in industrial organization. Martinus Nijhoff, DordrechtGoogle Scholar
  60. Scott A (1999) The US recorded music industry: on the relations between organizations, location and creativity in the cultural economy. Environ Plann 31:1965–1984CrossRefGoogle Scholar
  61. Scott A (2003) Origins and growth of the Hollywood motion-picture industry: the first three decades. UCLA, Los Angeles (mimeo)Google Scholar
  62. Scott A, Storper M (1986) Production, work, territory: the geographical anatomy of industrial capitalism. Unwin Hyman, LondonGoogle Scholar
  63. Statistics Sweden (2002) Data from the central register of enterprises and establishments, 1975–2002. Statistics Sweden, StockholmGoogle Scholar
  64. STIM Annual report, 1987–1997. Swedish Performing Rights Society, StockholmGoogle Scholar
  65. UNESCO (1998) World culture report. UNESCO, ParisGoogle Scholar
  66. U.S. Bureau of the Census (2001) Census of Industrial Production, Washington, D.C., USAGoogle Scholar
  67. Varian H (2000) Buying, sharing and renting information goods. J Ind Econ 48:473–488CrossRefGoogle Scholar
  68. Veckans affärer (2003) Så ska det låta 19, pp 24–26Google Scholar
  69. Venables A (1996) Equilibrium locations of vertically linked industries. Int Econ Rev 37:37–72CrossRefGoogle Scholar
  70. Zucker L, Darby M (1996) Star scientists and institutional transformation patterns of invention and innovation in the formation of the biotechnology industry. Proc Natl Acad Sci 93:12709–12716CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  1. 1.Department of EconomicsRoyal Institute of TechnologyStockholmSweden

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