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(Article of periodic en Anglais - 2013)

Document title

Geoadditive models for regional count data : an application to industrial location

Authors(s) and Affiliation(s)

BASILE R. ; BENTRAFELLO L. ; CASTELLANI D. ;

Abstract

A geoadditive negative binomial model is proposed for regional count data that allows to address simultaneously some important methodological issues. It is applied to the study of location determinants of inward greenfield investments during 2003–2007 in 249 European regions. The empirical analysis shows the good performance of Geo-NB-GAM. The inclusion of a geoadditive component (a smooth spatial trend surface) permits to control for spatial unobserved heterogeneity that induces spatial clustering. Allowing for nonlinearities reveals that the positive effect of agglomeration economies fades as the density of economic activities reaches some threshold value.

Source

Article of periodic

published at : Geographical analysis / ISSN 0016-7363

Editor : Ohio State University Press, Columbus, OH - ETATS-UNIS (1969)

Millesime : 2013, vol. 45, no1 [pp. 28-48]

Bibliographic references : 3 p.

Collation : 5 fig., 2 tabl., équations

Language

Anglais

INIST-CNRS, Cote INIST : 17078

Digital Object Identifier

Go to electronic document thanks to its DOI : doi:10.1111/gean.12001

Tous droits réservés © Prodig - Bibliographie Géographique Internationale (BGI), 2013
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