Indirect and feedback effects as measure of knowledge spillovers in French regions

Abstract : The aim of this article is to provide a precise measure of the role of geographical proximity in the innovation process on the French metropolitan NUTS (Nomenclature of Territorial Units for Statistics) 3 regions over the period 1995 to 2008. We study the relationship between patents applications and internal R&D, and we propose a spatial decomposition coefficient of the independent variables to measure more explicitly the spatial extent of knowledge spillovers (LeSage and Pace, 2009). Our estimation result shows that the internal R&D expenditures have a positive direct and indirect effect on the patents applications, but only for the regions with a strong innovation activity. For these regions, the spillover effect is observed in the first-order neighbourhood, but the spatial lag coefficient is not significant enough to get a positive feedback effect.
Document type :
Journal articles
Complete list of metadatas

https://halshs.archives-ouvertes.fr/halshs-01228332
Contributor : Luis Orozco <>
Submitted on : Thursday, November 12, 2015 - 9:04:54 PM
Last modification on : Sunday, April 21, 2019 - 1:15:21 AM

Identifiers

Collections

Citation

Inès Moussa, Thibault Laurent. Indirect and feedback effects as measure of knowledge spillovers in French regions. Applied Economics Letters, Taylor & Francis (Routledge): SSH Titles, 2015, 22 (7), pp.511-514. ⟨10.1080/13504851.2014.950788⟩. ⟨halshs-01228332⟩

Share

Metrics

Record views

196