Locations and Relocations:Modelling, Determinants, and Interrelations

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RECERCAT Home > Universitat Rovira i Virgili > Departament d'Economia > Documents de treball del Departament d'Economia > View document

Use this identifier to quote or link this document: http://hdl.handle.net/2072/5316

dc.contributor	Universitat Rovira i Virgili. Departament d'Economia
dc.contributor.author	Arauzo Carod, Josep Maria
dc.contributor.author	Manjón Antolín, Miguel C.
dc.date.accessioned	2008-04-07T18:00:18Z
dc.date.available	2008-04-07T18:00:18Z
dc.date.created	2007
dc.date.issued	2007
dc.identifier.issn	ISSN 1988 - 0812
dc.identifier.other	Dipòsit Legal: T - 1886 - 2007
dc.identifier.uri	http://hdl.handle.net/2072/5316
dc.format.extent	38
dc.format.extent	425827 bytes
dc.format.mimetype	application/pdf
dc.language.iso	eng
dc.relation.ispartofseries	Documents de treball del Departament d'Economia;2007-06
dc.rights	Aquest document està subjecte a una llicència d'ús de Creative Commons, amb la qual es permet copiar, distribuir i comunicar públicament l'obra sempre que se'n citin l'autor original, la universitat i el departament i no se'n faci cap ús comercial ni obra derivada, tal com queda estipulat en la llicència d'ús (http://creativecommons.org/licenses/by-nc-nd/2.5/es/)
dc.subject.other	Localització industrial
dc.subject.other	Ciutats
dc.subject.other	Models economètrics
dc.title	Locations and Relocations:Modelling, Determinants, and Interrelations
dc.type	info:eu-repo/semantics/workingPaper
dc.subject.udc	332 - Economia regional i territorial. Economia del sòl i de la vivenda
dc.description.abstract	Empirical studies on industrial location do not typically distinguish between new and relocated establishments. This paper addresses this shortcoming using data on the frequency of these events in municipalities of the same economic-administrative region. This enables us to test not only for differences in their determinants but also for interrelations between start-ups and relocations. Estimates from count regression models for cross-section and panel data show that, although partial effects differ, common patterns arise in “institutional” and “neoclassical” explanatory factors. Also, start-ups and relocations are positive but asymmetrically related. JEL classification: C25, R30, R10. Keywords: cities, count data models, industrial location

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