A spatial analysis of R&D: the role of industry proximity
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.
Year of publication: |
2013
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Authors: | Carboni, Oliviero A. |
Published in: |
Economics of Innovation and New Technology. - Taylor & Francis Journals, ISSN 1043-8599. - Vol. 22.2013, 8, p. 820-839
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Publisher: |
Taylor & Francis Journals |
Saved in:
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