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Spatial autocorrelation of exports and R&D expenditures in Portugal

António Carlos de Campos, Luís Lopes and Carlos Carreira ()
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António Carlos de Campos: State University of Maringá, Department of Economics

No 2020-13, CeBER Working Papers from Centre for Business and Economics Research (CeBER), University of Coimbra

Abstract: This article analyzes spatial autocorrelations and the formation of clusters of exports, based on Research and Development (R&D) intensity in Portugal. The central idea is that exports show relative interdependence and spillover effects among nearby regions and a direct relationship with R&D expenditures. It adopts the new taxonomy of the OECD, separating exports by manufacturing and non-manufacturing activities. Methodologically, is was used Exploratory Spatial Data Analysis (ESDA), utilizing Global Moran's Index and LISA. The results showed the presence of positive spatial autocorrelation of exports and the formation of a cluster of the High-High type for the Porto metropolitan region and Aveiro region. There was no confirmation of positive spatial autocorrelation for R&D expenditures among the regions of Portugal. However, there was both a positive spatial autocorrelation for exports associated with R&D expenditures as well as the formation of a regional cluster with high-high pattern for the Aveiro region. This outcome can be explained, in part, by nationally and internationally recognized universities and research centers surrounding the region, favoring knowledge spillovers across the regions.

Keywords: Export; R&D expenditures; Spatial autocorrelation; Technological intensity; Clusters; Spillovers; Portugal (search for similar items in EconPapers)
JEL-codes: F10 F14 O32 R12 (search for similar items in EconPapers)
Pages: 42 pages
Date: 2020-07
New Economics Papers: this item is included in nep-cse, nep-geo, nep-sbm and nep-ure
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Journal Article: Spatial Autocorrelation of Exports and R&D Expenditures in Portugal (2024) Downloads
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