A spatial analysis of R&D: the role of industry proximity |
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Authors: | Oliviero A. Carboni |
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Affiliation: | 1. DiSEA and CRENoS, University of Sassari, via Muroni, 25, 07100 Sassari, Italyocarboni@uniss.it |
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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. |
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Keywords: | spatial weights spatial dependence spatial models R& D |
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