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

Arbia, Giuseppe and Espa, Giuseppe and Quah, Danny (2008) A class of spatial econometric methods in the empirical analysis of clusters of firms in space. Empirical Economics, 34 (1). pp. 81-103. ISSN 0377-7332

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Identification Number: 10.1007/s00181-007-0154-1

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 phenomena 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.

Item Type: Article
Official URL: http://www.springer.com/economics/journal/181
Additional Information: © 2008 Springer
Subjects: H Social Sciences > HB Economic Theory
Sets: Departments > Economics
Research centres and groups > LSE IDEAS
Collections > Economists Online
Research centres and groups > Centre for the Study of Human Rights
Date Deposited: 07 Feb 2012 11:25
Last Modified: 02 Jun 2014 08:58
URI: http://eprints.lse.ac.uk/id/eprint/41796

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