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Beyond the Silicon Valley: University R&D and high-technology location

机译:超越硅谷:大学研发和高科技基地

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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.
机译:在本文中,我们考察了美国各县的高科技位置,重点是与大学研发之间的关系。 Dirichlet-多项式模型(条件logit模型的扩展,允许过度分散)用于估计美国各县制造业场所出生的决定因素。我们测试了以下假设:在控制了本地成本,需求,集聚经济和其他重要的地理位置因素之后,大学的研发会产生溢出效应,这些溢出效应是在本地捕获为新的高科技机构的。估算表明,大学的R&D支出对在县内建立工厂的决策产生了积极的,具有统计意义的显着影响。然而,增加研发资金对县域产生新高科技植物的可能性的边际影响似乎不大。单独的估计表明,大多数个人高科技行业的研究结果都成立。我们的模型还确定了距大学研发的距离,在该距离中可以检测到经济溢出。溢出效应可能会延伸到距大学约145英里处。

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