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Simulating the prospects of technological catching up

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Author Info

  • Jose Castro Caldas
  • Manuel Mira Godinho
  • Ricardo Paes Mamede

Abstract

Local increasing returns associated with static and dynamic scale effects, knowledge spillovers, polarization effects and the distance that separates different regions are among the most important driving forces behind the dynamics of economic and technological convergence. This paper puts forward a computational simulation model that seeks to integrate these factors. The modelling exercise was designed in order to achieve a better understanding of the relationship between the aspects underlying the specific trajectories of regional technological accumulation and the aggregate convergence/divergence patterns stemming from these trajectories. In particular, the role of history and geography in the dynamics of technological convergence is emphasized.

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File URL: http://www.tandfonline.com/doi/abs/10.1080/10438590802233651
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Bibliographic Info

Article provided by Taylor & Francis Journals in its journal Economics of Innovation and New Technology.

Volume (Year): 18 (2009)
Issue (Month): 6 ()
Pages: 565-586

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Handle: RePEc:taf:ecinnt:v:18:y:2009:i:6:p:565-586

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Related research

Keywords: technological convergence; knowledge spillovers; polarization effects;

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References

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  1. Damien NEVEN & Claudine GOUYETTE, 1993. "Regional Convergence in the European Comunity," Cahiers de Recherches Economiques du Département d'Econométrie et d'Economie politique (DEEP) 9311, Université de Lausanne, Faculté des HEC, DEEP.
  2. Fagerberg, Jan, 1994. "Technology and International Differences in Growth Rates," Journal of Economic Literature, American Economic Association, vol. 32(3), pages 1147-75, September.
  3. Aadne Cappelen & Jan Fagerberg & Bart Verspagen, 1999. "Lack of regional convergence," Working Papers Archives 1999001, Centre for Technology, Innovation and Culture, University of Oslo.
  4. Verspagen, Bart & Maurseth, Per Botolf, 1998. "Knowledge Spillovers in Europe and its Consequences for Systems of Innovation," Eindhoven Center for Innovation Studies (ECIS) working paper series 98.1, Eindhoven Center for Innovation Studies (ECIS).
  5. Jan Fagerberg & Bart Verspagen & Marjolein Cani�ls, 1997. "Technology, Growth and Unemployment across European Regions," Regional Studies, Taylor & Francis Journals, vol. 31(5), pages 457-466.
  6. Fagerberg, Jan, 1987. "A technology gap approach to why growth rates differ," Research Policy, Elsevier, vol. 16(2-4), pages 87-99, August.
  7. Paul M Romer, 1999. "Increasing Returns and Long-Run Growth," Levine's Working Paper Archive 2232, David K. Levine.
  8. Robert J. Barro & Xavier Sala-i-Martin, 1991. "Convergence across States and Regions," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 22(1), pages 107-182.
  9. Barro, Robert J & Sala-i-Martin, Xavier, 1992. "Convergence," Journal of Political Economy, University of Chicago Press, vol. 100(2), pages 223-51, April.
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