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

Laurent, Thibault and Moussa, Inès (2015) Indirect and feedback effects as measure of knowledge spillovers in French regions. Applied Economics Letters, vol. 22 (n° 7). pp. 511-514.

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Official URL: http://tse-fr.eu/pub/30464

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.

Item Type: Article
Language: English
Date: 2015
Refereed: Yes
Uncontrolled Keywords: Knowledge spillovers, spatial econometrics, innovation, indirect effect
Subjects: B- ECONOMIE ET FINANCE
Divisions: TSE-R (Toulouse)
Site: UT1
Date Deposited: 31 May 2016 13:41
Last Modified: 07 Mar 2018 13:23
OAI ID: oai:tse-fr.eu:30464
URI: http://publications.ut-capitole.fr/id/eprint/21921

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