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On the Ubiquitous Nature of the Agglomeration Economies and their Diverse Determinants: Some Notes

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  • Giulio Bottazzi
  • Giovanni Dosi
  • Giorgio Fagiolo

Abstract

This highly preliminary work attempts to study the multiple drivers of agglomeration phenomena in contemporary economies. First, we propose a tentative taxonomy of agglomeration drivers in which the conditions of knowledge accumulation play a paramount role. Second, we discuss the achievements and limitations of current theorizing on spatial location of economic activities. Third, we propose a simple model of firm agglomeration which is estimated on Italian data. Econometric results highlight the rich intersectoral diversity of agglomeration forces and their relative strength.

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Bibliographic Info

Paper provided by Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy in its series LEM Papers Series with number 2001/10.

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Date of creation: 21 Dec 2001
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Handle: RePEc:ssa:lemwps:2001/10

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Keywords: Agglomeration Economies; Geographical Economics; Locational Choice; Italian Districts.;

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References

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  15. Masahisa Fujita & Paul Krugman & Anthony J. Venables, 2001. "The Spatial Economy: Cities, Regions, and International Trade," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262561476, January.
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  18. Papageorgiou, Yorgo Y & Smith, Terrence R, 1983. "Agglomeration as Local Instability of Spatially Uniform Steady-States," Econometrica, Econometric Society, vol. 51(4), pages 1109-19, July.
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Cited by:
  1. Silviya Draganinska & Rudiger Wink, 2006. "Formal Knowledge Examination Institutions: Chance Or Threat to European Medium Tech-Nology SMEs? A Cognitive and Institutional Perspective," ERSA conference papers ersa06p404, European Regional Science Association.
  2. Giulio Bottazzi & Giorgio Fagiolo & Giovanni Dosi, 2003. "Mapping Sectoral Patterns of Technological Accumulation into the Geography of Corporate Locations. A Simple Model and Some Promising Evidence," Computing in Economics and Finance 2003 268, Society for Computational Economics.

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