The Annals of Regional Science

, Volume 56, Issue 2, pp 341–368 | Cite as

The regional and sectoral mobility of high-tech workers: insights from Finland

  • J. SimonenEmail author
  • R. Svento
  • P. McCann
Original Paper


In this paper we employ data on 156,000 workers working within the Finnish high-tech industries in order to identify the extent to which labour mobility between sectors and regions is influenced by the characteristics of the locality in which the worker works. With these data we are able to estimate different types of binary, multinomial and ordered logit models to capture different types of inter- or intra-sector or region employment mobility. As we will see the different categories of employment mobility are influenced by different factors such that we cannot simply talk about ‘labour mobility’, but rather need to be specific regarding each particular form of employment mobility. Our results show that urbanisation and industrial diversity are not just associated with greater intra-regional mobility, as is emphasised by the agglomeration literature, but also greater inter-regional mobility.

JEL Classification

J61 R1 R23 



The authors are grateful for valuable suggestions from two anonymous referees and financial support from the Academy of Finland and Yrjö Jahnsson foundation. Previous versions of this paper were presented at 53rd Congress of the European Regional Science Association, Palermo, Italy, 2013, and at 42nd annual conference of the Regional Science Association International - British and Irish Section, Sidney Sussex College, University of Cambridge, August, 2013.


  1. Aiginger K, Davies SW (2004) Industrial specialization and geographic concentration: two sides of the same coin? Not for the European Union. J Appl Econ 7:231–248Google Scholar
  2. Almeida P, Kogut B (1999) Localisation of knowledge and the mobility of engineers in regional networks. Manag Sci 45:905–917CrossRefGoogle Scholar
  3. Arita T, McCann P (2000) The spatial and hierarchical organization of Japanese and US multinational semiconductor firms. J Int Manag 8:121–139CrossRefGoogle Scholar
  4. Audretch DB, Feldman M (1996) R&D Spillovers and the geography of innovation and production. Am Econ Rev 86:630–640Google Scholar
  5. Audretsch DB, Stephan PE (1996) Company-scientist locational links: the case of biotechnology. Am Econ Rev 86:641–652Google Scholar
  6. Angel DP (1991) High-technology agglomeration and the labor market: thecase of Silicon Valley. Environ Plan A 23:1501–1516CrossRefGoogle Scholar
  7. Beaudry C, Schiffauerova A (2009) Who’s right, Marshall or Jacobs? The localization versus urbanization debate. Res Policy 38:318–337CrossRefGoogle Scholar
  8. Biagi B, Faggian A, McCann P (2011) Long and short distance migration in Italy: the role of economic, social and environmental characteristics. Spat Econ Anal 6:111–131CrossRefGoogle Scholar
  9. Bleakley H, Lin J (2007) Thick-market effects and churning in the labour market: Evidence from U.S. cities. Federal Reserve Bank of Philadelphia, working paper 07-23Google Scholar
  10. Blomquist GC, Berger MC, Hoehn JP (1988) New estimates of quality of life in urban area. Am Econ Rev 78:89–107Google Scholar
  11. Boschma R, Eriksson R, Lindgren U (2009) How does labour mobility affect the performance of plants? The importance of relatedness and geographical proximity. J Econ Geogr 9:169–190CrossRefGoogle Scholar
  12. Carnoy M, Castels M, Benner C (1997) Labour market and employment practises in the age of flexibility: a case of Silicon Valley. Int Labour Rev 136:27–48Google Scholar
  13. Collett D (2003) Modelling binary data, 2nd edn. Chapman & Hall, LondonGoogle Scholar
  14. De La Roca J, Puga D (2014) Learning by working in big cities. Discussion paper 9243, Centre for Economic Policy ResearchGoogle Scholar
  15. Di Addario S (2011) Job search in thick markets. J Urban Econ 69:303–318CrossRefGoogle Scholar
  16. Duranton G, Puga D (2004) Micro-foundations of urban agglomeration economies. In: Henderson V, Thisse J-F (eds) Handbook of regional and urban economics, vol 4. Elsevier, Amsterdam, pp 2063–2117Google Scholar
  17. Duranton G, Puga D (2001) Nursery cities: urban diversity, process innovation, and the life-cycle of products. Am Econ Rev 91:1454–1477CrossRefGoogle Scholar
  18. Eriksson R, Lindgren U, Malmberg G (2008) Agglomeration mobility: effects of localisation, urbanisation, and scale on job changes. Environ Plan A 40:2419–2434CrossRefGoogle Scholar
  19. Eurostat Pocketbooks 2011: Science, technology and innovation in Europe. Published by Publications Office of the European UnionGoogle Scholar
  20. Fallick B, Fleischman CA, Rebitzer JB (2006) Job hopping in silicon valley: some evidence concerning the micro-foundations of a high technology cluster. Rev Econ Stat 88(3):472–481CrossRefGoogle Scholar
  21. Finnie R (2004) Who moves? A logit model analysis of inter-provincial migration in Canada. Appl Econ 36:1759–1779CrossRefGoogle Scholar
  22. Florida R (2002) The economic geography of talent. Ann Assoc Am Geogr 92:743–775CrossRefGoogle Scholar
  23. Fingleton B (2003) Increasing returns: evidence from local wage rates in Great Britain. Oxf Econ Pap 55:716–739CrossRefGoogle Scholar
  24. Frenken K, van Oort F, Verburg T (2007) Related variety, unrelated variety and regional economic growth. Reg Stud 41:685–697CrossRefGoogle Scholar
  25. Glaeser EL, Maré DC (2001) Cities and skills. J Labor Econ 19:316–342CrossRefGoogle Scholar
  26. Glaeser EL, Kolko J, Saiz A (2001) Consumer city. J Econ Geogr 1:27–50CrossRefGoogle Scholar
  27. Gottlieb PD (1995) Residential amenities, firm location and economic development. Urban Stud 32:1413–1436CrossRefGoogle Scholar
  28. Graves P (1976) A re-examination of migration, economic opportunity, and the quality of life. J Reg Sci 12:107–112CrossRefGoogle Scholar
  29. Graves P (1980) Migration and climate. J Reg Sci 20:227–237CrossRefGoogle Scholar
  30. Graves P (1983) Migration with a composite amenity: the role of rents. J Reg Sci 23:541–546CrossRefGoogle Scholar
  31. Greenwood MJ (1975) Research on internal migration in the United States: a survey. J Econ Lit 13:397–433Google Scholar
  32. Greenwood MJ (1985) Human migration: theory, models and empirical studies. J Reg Sci 25:521–544CrossRefGoogle Scholar
  33. Greenwood MJ, Hunt G (1984) Migration and interregional employment redistribution in the United States. Am Econ Rev 74:957–969Google Scholar
  34. Gyourko J, Tracey J (1991) The structure of local public finance and the quality of life. J Polit Econ 99:774–806CrossRefGoogle Scholar
  35. Hansen HK, Niedomysl T (2009) Migration of the creative class: evidence from Sweden. J Econ Geogr 9:191–206CrossRefGoogle Scholar
  36. Hanson GH (2000) Firms, workers, and the geographic concentration of economic geography. In Clark G, Gertler M, Feldmann M (eds) The Oxford handbook of economic geography, pp 477–495. Oxford University Press, OxfordGoogle Scholar
  37. Herzog HW, Schlottmann AM, Johnson DL (1986) High technology jobs and worker mobility. J Reg Sci 26:445–459CrossRefGoogle Scholar
  38. Jorgensen DW, Timmer MP (2011) Structural change in advanced nations: a new set of stylised facts. Scand J Econ 113(1):1–29CrossRefGoogle Scholar
  39. Kim S (1987) Diversity in urban labor markets and agglomeration economics. Pap Reg Sci Assoc 62:57–70CrossRefGoogle Scholar
  40. Kotkin J (2000) The new geography. Random House, New YorkGoogle Scholar
  41. Lawton-Smith H, Waters R (2005) Employment mobility in high-technology agglomerations: the cases of Oxfordshire and Cambridgeshire. Area 37(2):189–198CrossRefGoogle Scholar
  42. McCann P, Simonen J (2005) Innovation, knowledge spillovers and local labour markets. Pap Reg Sci 84:465–485CrossRefGoogle Scholar
  43. Mukkala K (2008) Knowledge spillovers: mobility of highly educated workers within the high technology sector in Finland. In: Poot J, Waldorf B, van Wissen L (eds) Migration and human capital. Edward Elgar Publishing, Cheltenham, pp 131–149Google Scholar
  44. Muth R (1971) Migration: chicken or egg? South Econ J 37:95–306CrossRefGoogle Scholar
  45. Neffke F, Henning M, Boschma R (2011) How do regions diversify over time? Industry relatedness and the development of new growth paths in regions. Econ Geogr 87(3):237–265CrossRefGoogle Scholar
  46. Nivalainen S (2010) Essays on family migration and geographical mobility in Finland. PTT Publications 21. Pellervo Economic Research, Helsinki, FinlandGoogle Scholar
  47. Partridge MD (2010) The duelling model: NEG vs amenity migration in explaining US engines of growth. Pap Reg Sci 89:513–536CrossRefGoogle Scholar
  48. Power D, Lundmark M (2004) Working through knowledge pools: labour market dynamics, the transfer of knowledge and ideas, and industrial clusters. Urban Stud 41:1025–1044CrossRefGoogle Scholar
  49. Rogers E, Larsen J (1984) Silicon valley fever. Basic Books, New YorkGoogle Scholar
  50. Rosenthal SW, Strange WC (2004) Evidence on the nature and sources of agglomeration economies. In: Henderson JV, Thisse JF (eds) Handbook of regional and urban economics, vol 4. Elsevier, Amsterdam, pp 2119–2171Google Scholar
  51. Saxenian A (1994) Regional advantage: culture and competition in silicon valley and route 128. Harvard university press, CambridgeGoogle Scholar
  52. Scott AJ (1988) Metropolis. University of California Press, BerkeleyGoogle Scholar
  53. Scott AJ (2010) Jobs or amenities? Destination choices of migrant engineers in the USA. Pap Reg Sci 89:43–63CrossRefGoogle Scholar
  54. Scott A, Storper M (1990) Work organization and local labour markets in an era of flexible production. Int Labour Rev 129:573–591Google Scholar
  55. Simonen J, Svento R, Juutinen A (2014) Specialisation and diversity as drivers of economic growth: evidence from high-tech industries (early view in papers in regional science)Google Scholar
  56. Simonen J, McCann P (2008) Firm Innovation: the Influence of R&D cooperation and the geography of human capital inputs. J Urban Econ 64(1):146–154CrossRefGoogle Scholar
  57. Simonen J, McCann P (2010) Knowledge transfers and innovation: the role of labour markets and R&D cooperation between agents and institutions. Pap Reg Sci 89:295–309CrossRefGoogle Scholar
  58. Timmermans B, Boschma R (2014) The effect of intra-and inter-regional labour mobility on plant performance in Denmark: the significance of related labour inflows. J Econ Geogr 14:289–311CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2016

Authors and Affiliations

  1. 1.Department of Economics, Oulu Business SchoolUniversity of OuluOuluFinland
  2. 2.Department of Economic Geography, Faculty of Spatial SciencesThe University of GroningenGroningenThe Netherlands

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