Spatial distribution of innovative activities and economic performances: A geographical-friendly model
Eric Brouillat () and
Yannick Lung ()
Cahiers du GREThA (2007-2019) from Groupe de Recherche en Economie Théorique et Appliquée (GREThA)
The paper identifies 5 stylized facts to characterize the geographic distribution of innovative activities in France (mainly its high concentration in the region Ile-de-France). It proposes an original model of regional growth in a knowledge-based economy considering the density of RD activities and the connectivity to the other regions. The model is computed and run into 2 different configurations: equidistribution and overconcentration. The simulations’ results lead to the conclusion that the equidistribution configuration is Pareto-efficient (higher growth rate of the national economy, lower income spatial inequalities) compared to the overconcentration. Policy implications are discussed in conclusion.
Keywords: France; Geography of innovation; Knowledge spillover; Regional growth; Simulation (search for similar items in EconPapers)
JEL-codes: O33 R11 (search for similar items in EconPapers)
New Economics Papers: this item is included in nep-cmp, nep-cse, nep-geo, nep-ino and nep-ure
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Working Paper: Spatial distribution of innovative activities and economic performances: a geographical-friendly model (2010)
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Persistent link: https://EconPapers.repec.org/RePEc:grt:wpegrt:2010-11
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