Arbia, Giuseppe and Espa, Giuseppe and Quah, Danny (2007) A class of spatial econometric methods in the empirical analysis of clusters of firms in the space. UNSPECIFIED.
In this paper we aim at identifying stylized facts in order to suggest adequate models of spatial co–agglomeration of industries. We describe a class of spatial statistical methods to be used in the empirical analysis of spatial clusters. Compared to previous contributions using point pattern methods, the main innovation of the present paper is to consider clustering for bivariate (rather than univariate) distributions, which allows uncovering co–agglomeration and repulsion phenomena between the different industrial sectors. Furthermore we present the results of an empirical application of such methods to a set of European Patent Office (EPO) data and we produce a series of empirical evidences referred to the the pair–wise intra–sectoral spatial distribution of patents in Italy in the nineties. In this analysis we are able to identify some distinctive joint patterns of location between patents of different sectors and to propose some possible economic interpretations.
|Item Type: ||Departmental Technical Report|
|Department or Research center: ||Economics|
|Subjects: ||H Social Sciences > HD Industries. Land use. Labor > HD2321 Industry|
|Uncontrolled Keywords: ||Agglomeration; Bivariate K–functions; co–agglomeration; Non parametric concentration measures; Spatial clusters; Spatial econometrics|
|Additional Information: ||Pubblicazione registrata presso il Tribunale di Trento.|
|Report Number: ||5|
|Repository staff approval on: ||20 Nov 2007|
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