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Market Potential, Spatial Dependences and Spillovers in European Regions
| dc.contributor.author | Bruna, Fernando | |
| dc.contributor.author | López-Rodríguez, Jesús | |
| dc.contributor.author | Faíña, José Andrés | |
| dc.date.accessioned | 2024-03-12T15:39:33Z | |
| dc.date.available | 2024-03-12T15:39:33Z | |
| dc.date.issued | 2016 | |
| dc.identifier.citation | Fernando Bruna, Jesus Lopez-Rodriguez & Andrés Faíña (2016) Market Potential, Spatial Dependences and Spillovers in European Regions, Regional Studies, 50:9, 1551-1563, DOI: 10.1080/00343404.2015.1048796 | es_ES |
| dc.identifier.issn | 0034-3404 | |
| dc.identifier.issn | 1360-0591 | |
| dc.identifier.uri | http://hdl.handle.net/2183/35858 | |
| dc.description | This is an Accepted Manuscript of an article published by Taylor & Francis in Regional Studies on 29 Jul 2015, available at: https://doi.org/10.1080/00343404.2015.1048796 | es_ES |
| dc.description.abstract | [Abstract] This paper reinterprets the New Economic Geography (NEG) ‘wage’ equation by dis-tinguishing two different types of spatial dependences: global spatial trend and local spa-tial autocorrelation. A measure of Market Potential in this equation is able to capture both a global core-periphery pattern and spillovers, while the standard weights matrices of Spatial Econometrics tend to be designed to capture short-distance interactions among neighbors. Using cross-sectional European regional data, the paper compares different weighting schemes to build spatial lags. The estimation of spatial models of a NEG equa-tion for GVA per capita reveals new research challenges. | es_ES |
| dc.description.sponsorship | The first author thanks the financial support of the University of A Coruña for a research visit at the Università Cattolica del Sacro Cuore in Rome and the conver-sations with Giuseppe Arbia there. Jesus Lopez-Rodriguez acknowledges the support received from the Spanish Ministry of Science and Innovation (project ECO2011-28632) and Xunta de Galicia (project EM2014/051). | es_ES |
| dc.description.sponsorship | Xunta de Galicia; EM2014/051 | es_ES |
| dc.language.iso | eng | es_ES |
| dc.publisher | Taylor & Francis | es_ES |
| dc.relation | info:eu-repo/grantAgreement/MICINN/Plan Nacional de I+D+i 2008-2011/ECO2011-28632/ES/EL IMPACTO DE LA GEOGRAFIA ECONOMICA EN LA DISTRIBUCION DEL CAPITAL HUMANO: MODELIZACION E IMPLICACIONES DE POLITICA | es_ES |
| dc.relation.isversionof | https://doi.org/10.1080/00343404.2015.1048796 | |
| dc.relation.uri | https://doi.org/10.1080/00343404.2015.1048796 | es_ES |
| dc.subject | New Economic Geography | es_ES |
| dc.subject | Core-periphery model | es_ES |
| dc.subject | Wage equation | es_ES |
| dc.subject | Global spatial trend | es_ES |
| dc.subject | Spatial autocorrelation | es_ES |
| dc.subject | Spatial lag | es_ES |
| dc.title | Market Potential, Spatial Dependences and Spillovers in European Regions | es_ES |
| dc.type | info:eu-repo/semantics/article | es_ES |
| dc.rights.access | info:eu-repo/semantics/openAccess | es_ES |
| UDC.journalTitle | Regional Studies | es_ES |
| UDC.volume | 50 | es_ES |
| UDC.issue | 9 | es_ES |
| UDC.startPage | 1551 | es_ES |
| UDC.endPage | 1563 | es_ES |
| dc.identifier.doi | https://doi.org/10.1080/00343404.2015.1048796 |
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