Knowledge Flows Among US Metro Areas: Innovative Activity, Proximity, and the Border Effect

IF 0.6 Q4 ECONOMICS Review of Regional Studies Pub Date : 2018-06-11 DOI:10.52324/001c.7999
Nivedita Mukherji, Jonathan Silberman
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引用次数: 4

Abstract

Knowledge spillovers are critical for innovation and new value creation in an increasingly knowledge-intensive economy. The substantial scholarly attention on knowledge spillovers has shown that there is a rapid distance decay associated with knowledge spillovers and that there is a positive state border ei¬€ect. We show that the ei¬€ects of distance, technology proximity, and the state border ei¬€ect on knowledge flows are dependent on the size of the regions (MSAs) involved in the knowledge flow. Not accounting for innovation size (innovative communities and social relationships) in the flow of knowledge across origin-destination regions results in aggregation bias in the parameter estimates. Knowledge spillovers are more localized for small innovation MSAs than for large ones. Distance is not as much of a resistance factor in knowledge flow for larger innovation metro areas compared with smaller regions. Spatial origin and destination ei¬€ects due to technology compatibility of neighboring regions do not affect the knowledge flow among large innovation MSAs, but do have an effect when small MSAs interact with large MSAs.
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美国都市地区的知识流动:创新活动、邻近性和边界效应
在知识日益密集的经济中,知识溢出对于创新和创造新价值至关重要。对知识溢出的大量学术关注表明,与知识溢出相关的距离衰减速度很快,并且存在积极的国家边界效应。研究表明,距离、技术接近度和国家边界效应对知识流动的影响取决于知识流动中涉及的区域(msa)的大小。在知识流动中不考虑创新规模(创新社区和社会关系)会导致参数估计中的聚集偏差。与大型创新管理体系相比,小型创新管理体系的知识溢出更具有地域性。与较小的区域相比,距离在较大的创新都市区域的知识流动中不是一个阻力因素。相邻区域的技术兼容性导致的空间起源效应和目的地效应不影响大型创新主体区域间的知识流动,但对小型创新主体区域与大型创新主体区域之间的相互作用有影响。
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CiteScore
1.20
自引率
22.20%
发文量
13
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