Regional Heterogeneity and Interregional Research Spillovers in European Innovation: Modelling and Policy Implications

被引:23
作者
Guastella, Gianni [1 ]
van Oort, Frank G. [2 ,3 ]
机构
[1] Univ Cattolica, Dept Math & Phys, I-25121 Brescia, Italy
[2] Erasmus Univ, Erasmus Sch Econ, Inst Housing & Urban Dev Studies IHS, Rotterdam, Netherlands
[3] Univ Utrecht, Fac Geosci, Dept Econ Geog, Utrecht, Netherlands
关键词
Generalized additive models; Knowledge spillovers; Regional innovation; European union; KNOWLEDGE SPILLOVERS; UNIVERSITY-RESEARCH; GEOGRAPHIC LOCALIZATION; AGGLOMERATION ECONOMIES; TECHNOLOGY; PATENTS; AUTOCORRELATION; PROXIMITY; INVENTORS; CLUSTERS;
D O I
10.1080/00343404.2015.1034668
中图分类号
F [经济];
学科分类号
02 ;
摘要
Guastella G. and van Oort F. G. Regional heterogeneity and interregional research spillovers in European innovation: modelling and policy implications, Regional Studies. In agglomeration studies the effects of various regional externalities related to knowledge spillovers remain largely unclear. To explain innovation clustering, scholars emphasize the contribution of localized knowledge spillovers (LKS) and, specifically when estimating the knowledge production function (KPF), of (interregional) research spillovers. However, less attention is paid to other causes of spatial heterogeneity. In applied works, spatial association in data is econometrically related to evidence of research spillovers. This paper argues that, in a KPF setting, omitting spatial heterogeneity might lead to biased estimates of the effect of research spillovers. As an empirical test, a spatial KPF is estimated using EU-25 regional data, including a spatial trend to control for unexplained spatial variation in innovation. Accounting for geographical characteristics substantially weakens evidence of interregional research spillovers.
引用
收藏
页码:1772 / 1787
页数:16
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