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

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  • In�s Moussa
  • Thibault Laurent

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.

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  • In�s Moussa & Thibault Laurent, 2015. "Indirect and feedback effects as measure of knowledge spillovers in French regions," Applied Economics Letters, Taylor & Francis Journals, vol. 22(7), pages 511-514, May.
    • Handle: RePEc:taf:apeclt:v:22:y:2015:i:7:p:511-514
    DOI: 10.1080/13504851.2014.950788
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    Cited by:

    1. Gong, Binlei, 2018. "Interstate competition in agriculture: Cheer or fear? Evidence from the United States and China," Food Policy, Elsevier, vol. 81(C), pages 37-47.
    2. Rajeev K. Goel & James W. Saunoris & Xingyuan Zhang, 2016. "Intranational And International Knowledge Flows: Effects On The Formal And Informal Sectors," Contemporary Economic Policy, Western Economic Association International, vol. 34(2), pages 297-311, April.

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