Spatial spillovers in France: a study on individual count data at the city level

Our study aims to measure the effects of spatial R&D spillovers on firms' patent production at the city level. We use an original method to estimate the spatial dimension of spillovers using count data. The method, based on a generalized cross entropy approach, allows us to test spatial auto-correlation. The main result is that when there are local spillovers, their impact on knowledge production is different according to the geographical area and the sector.

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Year of publication:	2007
Authors:	Gallié, Emilie-Pauline ; Legros, Diego
Institutions:	Université Paris-Dauphine (Paris IX)
Subject:	Geography of innovation \| Knowledge spillovers \| Spatial dependence \| Entropy

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Extent:	application/pdf
Series:	Economics Papers from University Paris Dauphine.
Type of publication:	Book / Working Paper
Notes:	Published in Annales d'économie et de statistique, 2007, no. 87-88. pp. 221-246.Length: 25 pages
Classification:	O31 - Innovation and Invention: Processes and Incentives ; O18 - Regional, Urban, and Rural Analyses ; R12 - Size and Spatial Distributions of Regional Economic Activity ; C21 - Cross-Sectional Models; Spatial Models ; C25 - Discrete Regression and Qualitative Choice Models
Source:	RePEc - Research Papers in Economics

Persistent link: https://ebvufind01.dmz1.zbw.eu/10010708432