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

被引:11
|
作者
Carboni, Oliviero A. [1 ,2 ]
机构
[1] Univ Sassari, DiSEA, I-07100 Sassari, Italy
[2] Univ Sassari, CRENoS, I-07100 Sassari, Italy
关键词
spatial weights; spatial dependence; spatial models; R&D;
D O I
10.1080/10438599.2013.788871
中图分类号
F [经济];
学科分类号
02 ;
摘要
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.
引用
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页码:820 / 839
页数:20
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