Data di Pubblicazione:
2013
Citazione:
A spatial analysis of R&D: the role of industry proximity / Carboni, O.A.. - In: ECONOMICS OF INNOVATION AND NEW TECHNOLOGY. - ISSN 1043-8599. - (2013).
Abstract:
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.
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.
Tipologia CRIS:
1.1 Articolo in rivista
Keywords:
spatial weights, spatial dependence, spatial models, R&D
Elenco autori:
Carboni, Oliviero Antonio
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