Spatial patterns and determinants of firm exit: an empirical analysis on France
| Autor: | Nadine Levratto, Marc Brunetto, Giuseppe Arcuri |
|---|---|
| Přispěvatelé: | EconomiX, Université Paris Nanterre (UPN)-Centre National de la Recherche Scientifique (CNRS) |
| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
Estimation
Economies of agglomeration 05 social sciences General Social Sciences Financial development [SHS.ECO]Humanities and Social Sciences/Economics and Finance Spatial spillover 0502 economics and business 8. Economic growth Specialization (functional) [No keyword available] Econometrics Spatial ecology Economics Exit rate 050207 economics Spatial analysis 050203 business & management General Environmental Science |
| Zdroj: | 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 |
| ISSN: | 0570-1864 1432-0592 |
| DOI: | 10.1007/s00168-018-0887-0⟩ |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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