Abstract (EN):
In this paper, we examine high-technology location in US counties, focusing on the relationship with university research and development (R&D). The Dirichlet-Multinomial model (an extension of the conditional logit model that allows for overdispersion) is used to estimate the determinants of manufacturing establishment births in US counties. We test the hypothesis that university R&D generates spillovers captured locally as new high-technology establishments, after controlling for local costs, demand, agglomeration economies and other important location factors. Estimates show that R&D expenditures at universities exert a positive, statistically significant influence on the decision to locate plants in a county. The marginal impacts of increased R&D funding on county probabilities for new high-tech plant births, however, appear to be modest. Separate estimates indicate that the findings hold up across most individual high-tech industries. Our model also determines the distance from university R&D in which economic spillovers can be detected. Spillover effects may extend up to approximately 145 miles from universities.
Language:
English
Type (Professor's evaluation):
Scientific
No. of pages:
18