The Geographical Scope of Industrial Location Determinants: An Alternative Approach

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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/2072/212205

dc.contributor	Universitat Rovira i Virgili. Departament d'Economia
dc.contributor	Universitat Rovira i Virgili. Centre de Recerca en Economia Industrial i Economia Pública
dc.contributor.author	Martínez Ibáñez, Óscar
dc.contributor.author	Manjón Antolín, Miguel C.
dc.contributor.author	Arauzo Carod, Josep Maria
dc.date.accessioned	2013-06-13T12:37:27Z
dc.date.available	2013-06-13T12:37:27Z
dc.date.created	2012-11-05
dc.date.issued	2012
dc.identifier.uri	http://hdl.handle.net/2072/212205
dc.format.extent	33 p.
dc.language.iso	eng
dc.publisher	Universitat Rovira i Virgili. Departament d'Economia
dc.relation.ispartofseries	Documents de treball del Departament d'Economia;2012-28
dc.rights	info:eu-repo/semantics/openAccess
dc.rights	L'accés als continguts d'aquest document queda condicionat a l'acceptació de les condicions d'ús establertes per la següent llicència Creative Commons: http://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.source	RECERCAT (Dipòsit de la Recerca de Catalunya)
dc.subject.other	Models economètrics
dc.subject.other	Economia regional
dc.subject.other	Localització industrial
dc.title	The Geographical Scope of Industrial Location Determinants: An Alternative Approach
dc.type	info:eu-repo/semantics/workingPaper
dc.subject.udc	332 - Economia regional i territorial. Economia del sòl i de la vivenda
dc.embargo.terms	cap
dc.description.abstract	This paper considers the estimation of the geographical scope of industrial location determinants. While previous studies impose strong assumptions on the weighting scheme of the spatial neighbour matrix, we propose a exible parametrisation that allows for di fferent (distance-based) de finitions of neighbourhood and di fferent weights to the neighbours. In particular, we estimate how far can reach indirect marginal e ffects and discuss how to report them. We also show that the use of smooth transition functions provides tools for policy analysis that are not available in the traditional threshold modelling. Keywords: count data models, industrial location, smooth transition functions, threshold models. JEL-Codes: C25, C52, R11, R30.

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