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

Emilie-Pauline Gallié () and Diego Legros ()
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Emilie-Pauline Gallié: IMRI - Institut pour le management de la recherche et de l'innovation - Université Paris Dauphine-PSL - PSL - Université Paris Sciences et Lettres
Diego Legros: LEG - Laboratoire d'Economie et de Gestion - UB - Université de Bourgogne - CNRS - Centre National de la Recherche Scientifique

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Abstract: 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.

Keywords: spatial spillovers; count data; generalised cross entropy approach; spatial auto-correlation; city level; externalités de connaissance; spatial; données de comptage; maximum d'entropie généralisé; auto-corrélation spatiale (search for similar items in EconPapers)
Date: 2007
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Published in Annales d'Economie et de Statistique, 2007, 87-88, pp.221-246

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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-00375831

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