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A Spatial analysis of R&D: the role of industry proximity

Carboni, Oliviero Antonio (2013) A Spatial analysis of R&D: the role of industry proximity. Economics of innovation and new technology, Vol. 22 (8), p. 820-839. ISSN 1043-8599. eISSN 1476-8364. Article.

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DOI: 10.1080/10438599.2013.788871


This paper employs individual firm data in order to check the existence of industry-spatial effects alongside other microeconomic determinants of R&D investment. Spatial proximity is defined by a measure of firms’ industry distance based on trade intensity between sectors. The spatial model specified here refers to the combined spatial-autoregressive model with autoregressive disturbances. In modelling the outcome for each location as dependent on a weighted average of the outcomes of other locations, outcomes are determined simultaneously. The results of the spatial estimation suggest that in their R&D decision firms benefit from spillovers originating from neighbouring industries.

Item Type:Article
ID Code:10020
Uncontrolled Keywords:Spatial weights, spatial dependence, spatial models, R&D
Subjects:Area 13 - Scienze economiche e statistiche > SECS-P/01 Economia politica
Divisions:002 Altri enti e centri di ricerca del Nord Sardegna > CRENoS-Centro Ricerche Economiche Nord Sud, Università di Cagliari e Università di Sassari
001 Università di Sassari > 01-a Nuovi Dipartimenti dal 2012 > Scienze economiche e aziendali
Publisher:Routledge / Taylor & Francis group
Deposited On:08 Aug 2014 11:58

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