Utilize este identificador para referenciar este registo: http://hdl.handle.net/10400.5/2853
Título: National industry cluster templates and the structure of industry output dynamics : a stochastic geometry approach
Autor: Lopes, João C.
Araújo, Tanya
Dias, João
Amaral, João F.
Palavras-chave: Clusters
Análise de input-output
Produção industrial
Métodos estocásticos
Data: 2010
Editora: ISEG - Departamento de Economia
Citação: João C. Lopes... [et al.].2010. "National industry cluster templates and the structure of industry output dynamics : a stochastic geometry approach". Instituto Superior de Economia e Gestão. DE Working Papers; nº 20/2010/UECE.
Relatório da Série N.º: DE Working papers; nº 20/2010
Resumo: Cluster analysis has been widely used in an Input-Output framework, with the main objective of uncover the structure of production, in order to better identify which sectors are strongly connected with each other and choose the key sectors of a national or regional economy. There are many empirical studies determining potential clusters from interindustry flows directly, or from their corresponding technical (demand) or market (supply) coefficients, most of them applying multivariate statistical techniques. In this paper, after identifying clusters this way, and since it may be expected that strongly (interindustry) connected sectors share a similar growth and development path, the structure of sectoral dynamics is uncovered, by means of a stochastic geometry technique based on the correlations of industry outputs in a given period of time. An application is made, using Portuguese input-output data, and the results do not clearly support this expectation.
URI: http://hdl.handle.net/10400.5/2853
ISSN: 0874-4548
Aparece nas colecções:DE - Documentos de trabalho / Working Papers
UECE - Documentos de Trabalho / UECE - Working Papers

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