A class of spatial econometric methods in the empirical analysis of clusters of firms in the space

  • Giuseppe ArbiaEmail author
  • Giuseppe Espa
  • Danny Quah
Part of the Studies in Empirical Economics book series (STUDEMP)

In this paper we aim at identifying stylized facts in order to suggest adequate models for the co-agglomeration of industries in space. We describe a class of spatial statistical methods for the empirical analysis of spatial clusters. The main innovation of the paper consists in considering clustering for bivariate (rather than univariate) distributions. This allows uncovering co-agglomeration and repulsion phe nomena between the different sectors. Furthermore we present empirical evidence on the pair-wise intra-sectoral spatial distribution of patents in Italy in 1990s. We identify some distinctive joint patterns of location between different sectors and we propose some possible economic interpretations.


Agglomeration Bivariate K-functions Co-agglomeration Spatial clusters Spatial econometrics 


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Copyright information

© Physica-Verlag Heidelberg 2009

Authors and Affiliations

  1. 1.Department of EconomicsUniversity of TrentoTrentoItaly
  2. 2.Economics DepartmentLondon School of EconomicsLondonUK

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