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Spatial patterns and determinants of firm exit: an empirical analysis on France

Authors :
Nadine Levratto
Marc Brunetto
Giuseppe Arcuri
EconomiX
Université Paris Nanterre (UPN)-Centre National de la Recherche Scientifique (CNRS)
Source :
Annals of Regional Science, Annals of Regional Science, 2019, 62, pp.99-116. ⟨10.1007/s00168-018-0887-0⟩, Annals of Regional Science, Springer Verlag (Germany), 2019, 62, pp.99-116
Publication Year :
2019
Publisher :
HAL CCSD, 2019.

Abstract

The purpose of this research is to study the role of spatial agglomeration economies as drivers of firm exit in France over the period 2009–2013 by focusing on two regional variables (local financial development and local specialization). The spatial autocorrelation detected in the data leads us to apply spatial econometric techniques (Spatial Dynamic Panel models and spatial GMM) that permit us to control the estimation of spatial spillover effects. Our results show that firm exit is significantly influenced by positive spatial autocorrelation. Therefore, locations with high exit rates tend to be surrounded by similar ones. However, this phenomenon differs according to the period. In addition, we find that greater local financial development reduces the exit rate in a department, whereas local specialization seems not to exert any effect.

Details

Language :
English
ISSN :
05701864 and 14320592
Database :
OpenAIRE
Journal :
Annals of Regional Science, Annals of Regional Science, 2019, 62, pp.99-116. ⟨10.1007/s00168-018-0887-0⟩, Annals of Regional Science, Springer Verlag (Germany), 2019, 62, pp.99-116
Accession number :
edsair.doi.dedup.....756fce3170c8b37a4f2f68a5d601f743
Full Text :
https://doi.org/10.1007/s00168-018-0887-0⟩