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Spatial Econometrics pp 81–103Cite as

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

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Part of the book series: Studies in Empirical Economics ((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.

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Author information

Authors and Affiliations

  1. Department of Economics, University of Trento, via Inama, 5, Trento, 38100, Italy

    Giuseppe Espa

  2. Economics Department, London School of Economics, Houghton Street, London, WC2A 2AE, UK

    Danny Quah

Authors
  1. Giuseppe Arbia
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  2. Giuseppe Espa
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  3. Danny Quah
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Corresponding author

Correspondence to Giuseppe Arbia .

Editor information

Editors and Affiliations

  1. Department of the Business, Statistical, Technological and Environment Sciences, University “G. d'Annunzio” of Chieti-Pescara, Viale Pindaro, Pescara, 42 65127, Italy

    Giuseppe Arbia

  2. Center for Policy Research, Syracuse University, 426 Eggers Hall, Syracuse, NY, 13244-1020, USA

    Badi H. Baltagi

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Arbia, G., Espa, G., Quah, D. (2009). A class of spatial econometric methods in the empirical analysis of clusters of firms in the space. In: Arbia, G., Baltagi, B.H. (eds) Spatial Econometrics. Studies in Empirical Economics. Physica-Verlag HD. https://doi.org/10.1007/978-3-7908-2070-6_5

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