Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Regional Heterogeneity and Interregional Research Spillovers in European Innovation: Modelling and Policy Implications
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.
Regional Heterogeneity and Interregional Research Spillovers in European Innovation: Modelling and Policy Implications
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.
Regional Heterogeneity and Interregional Research Spillovers in European Innovation: Modelling and Policy Implications
Guastella, Gianni (Autor:in) / van Oort, Frank G. (Autor:in)
Regional Studies ; 49 ; 1772-1787
02.11.2015
16 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
Generalized additive models , Knowledge spillovers , Regional innovation , European union , 广义加性模型 , 知识外溢 , 区域创新 , 欧盟 , Modèles additifs généralisés , Retombées de l'application des connaissances , Innovation régionale , Union européenne , Generalisierte additive Modelle , Wissensübertragung , Regionale Innovation , Europäische Union , Modelos aditivos generalizados , Transferencia de conocimientos , Innovación regional , Unión Europea , R12 , R58
| Taylor & Francis Verlag | 2023
| Taylor & Francis Verlag | 2001