Geographical Accessibility and Human Capital Accumulation

  • Riccardo CrescenziEmail author
  • Andrés Rodríguez-Pose
Part of the Advances in Spatial Science book series (ADVSPATIAL)


This chapter performs a preliminary empirical exploration of the key conceptual links developed in Chap. 2. It looks at the relationship between innovation and regional growth by means of an empirical model that explicitly accounts for the impact of spatially mediated processes (geography) and place-specific socio-institutional conditions. The cross-sectional analysis, covering the EU-25 regions, sheds light on how regional innovative activities influence differential regional growth patterns. The thrust of the analysis will be to examine how geographical accessibility and human capital accumulation, by shaping the regional system of innovation, interact with local innovative activities, thereby enhancing (or impeding) economic growth. The analysis will support the idea that an increase in innovative effort is not, per se, necessarily or likely to produce the same effect in all EU-25 regions (as the linear model would predict), whereas geography, together with human capital accumulation, does, on the contrary, influence this relationship and shall be shown to do so. This will constitute the first empirical confirmation for the theoretical hypotheses developed in the previous chapter, and which will be further analysed in Chaps. 4 and 5 with a more in depth treatment of respectively systems of innovation conditions and geography.


Average Growth Rate Innovative Activity Good Accessibility Average Annual Growth Rate Human Capital Accumulation 
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.


  1. Anselin L, Varga A, Acs Z (1997) Local geographic spillovers between University research and high technology innovations. J Urban Econ 42:422–448CrossRefGoogle Scholar
  2. Archibugi D, Coco A (2004) A new indicator of technological capabilities for developed and developing countries (ArCo). World Dev 32(4):629–654CrossRefGoogle Scholar
  3. Armstrong HW (1995) An appraisal of the evidence from cross-sectional analysis of the regional growth process within the European union. In: Vickerman RW, Armstrong HW (eds) Convergence and divergence among European regions. Pion, LondonGoogle Scholar
  4. Audretsch DB, Feldman MP (1996b) Innovative clusters and the industry life cycle. Rev Ind Organ 11:253–273CrossRefGoogle Scholar
  5. Breschi S, Lissoni F (2001) Localised knowledge spillovers vs. innovative milieux: knowledge ‘tacitness’ reconsidered. Pap Reg Sci 80:255–273CrossRefGoogle Scholar
  6. Camagni R (1995a) The concept of innovative milieu and its relevance for public policies in European lagging regions. Pap Reg Sci 74:317–340CrossRefGoogle Scholar
  7. Cliff A, Ord JK (1972) Testing for spatial autocorrelation among regression residuals. Geogr Anal 4:267–284CrossRefGoogle Scholar
  8. Cooke P (1997) Regions in a global market: the experiences of Wales and Baden-Wurttemberg. Review of International Political Economy 4Google Scholar
  9. European Commission (2001) European Innovation Scoreboard. Office for Official Publications of the EC, BrusselsGoogle Scholar
  10. Fageberg J (1988) Why growth rates differ. In: Dosi G, Freeman C, Nelson R, Silveberg G, Soete L (eds) Technological change and economic theory. Pinter, LondonGoogle Scholar
  11. Fagerberg J, Verspagen B, Caniels M (1997) Technology, growth and unemployment across European regions. Reg Stud 31(5):457–466CrossRefGoogle Scholar
  12. Fischer MM, Varga A (2003) Spatial knowledge spillovers and university research. Ann Reg Sci 37:303–322CrossRefGoogle Scholar
  13. IRPUD (2000) European peripherality indicators (E.P.I). IRPUD GIS database. Institute of Spatial Planning, DortmundGoogle Scholar
  14. Jaffe AB (1989) The real effects of academic research. Am Econ Rev 79(5):984–1001Google Scholar
  15. Keeble D, Offord J, Walker S (1988) Peripheral regions in a community of twelve member states. Office for Official Publications of the European Community, LuxembourgGoogle Scholar
  16. Kendall M (1990) Rank correlation methods. Edward Arnold, OxfordGoogle Scholar
  17. Lucas R (1988) On the mechanics of economic development. J Monetary Econ 22(1):3–42CrossRefGoogle Scholar
  18. Lundvall BÅ (1992) National systems of innovation: towards a theory of innovation and interactive learning. Pinter, LondonGoogle Scholar
  19. Lundvall BÅ (2001) Innovation policy in the globalising learning economy. In: Archibugi D, Lundvall BÅ (eds) The globalising learning economy. Oxford University Press, OxfordGoogle Scholar
  20. Mankiw NG, Romer D, Weil D (1990) A contribution to the empirics of economic growth. NBER Working Paper 3541Google Scholar
  21. Quah D (1996) Regional convergence clusters across Europe. Eur Econ Rev 40:951–958CrossRefGoogle Scholar
  22. Richardson HW (1973) Regional growth theory. Macmillan, LondonGoogle Scholar
  23. Rodríguez-Pose A (1999) Innovation prone and innovation averse societies. Economic performance in Europe. Growth Change 30:75–105CrossRefGoogle Scholar
  24. Rodríguez-Pose A (2001) Is R&D investment in lagging areas of Europe worthwhile? Theory and Empirical evidence. Pap Reg Sci 80:275–295CrossRefGoogle Scholar
  25. Rodríguez-Pose A, Fratesi U (2004) Between development and social policies: the impact of structural funds in objective 1 regions. Reg Stud 38(1):97–114CrossRefGoogle Scholar
  26. Romer PM (1990) Endogenous technological change. J Polit Econ 98(5):97–103CrossRefGoogle Scholar
  27. Schürmann C, Talaat A (2000) Towards a European Peripherality Index. Final Report. Report for General Directorate XVI (Regional Policy) of the European Commission. Institute of Spatial Planning, DortmundGoogle Scholar
  28. Storper M (1995) Regional technology coalitions. An essential dimension of national technology policy. Res Pol 24:895–911CrossRefGoogle Scholar
  29. Woolgridge JM (2003) Introductory econometrics: a modern approach. Thomson, MasonGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  1. 1.Geography and EnvironmentLondon School of EconomicsLondonUK
  2. 2.IMDEA Social SciencesMadridSpain

Personalised recommendations