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

Giuseppe Arbia (), Giuseppe Espa () and Danny Quah ()
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Giuseppe Espa: University of Trento
Danny Quah: London School of Economics

A chapter in Spatial Econometrics, 2009, pp 81-103 from Springer

Abstract: 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.

Keywords: Agglomeration; Bivariate K-functions; Co-agglomeration; Spatial clusters; Spatial econometrics (search for similar items in EconPapers)
Date: 2009
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Related works:
Journal Article: A class of spatial econometric methods in the empirical analysis of clusters of firms in the space (2008)
Working Paper: A class of spatial econometric methods in the empirical analysis of clusters of firms in the space (2007)
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Persistent link: https://EconPapers.repec.org/RePEc:spr:stecpp:978-3-7908-2070-6_5

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DOI: 10.1007/978-3-7908-2070-6_5

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