Innovation in industrial clusters: a survey of footwear companies in Brazil

The aim of this study is to characterize the relationships in innovation and business clustering processes in the productive chain of small and medium enterprises (SME) of Brazil. The object of study are SMEs the local procuctive cluster of the shoes in Franca, State of São Paulo. The conceptual model developed is based on the following constructs: vertical integration, innovation and characteristics of the cluster, and it is focused on identifying the agents that act predominantly in product innovation processes in the cluster. A survey was conducted. It was found that there is cooperation between the companies in the productive arrangement studied, and that shoe manufacturers are those who, predominantly, stimulate innovation within the cluster.

Proposta de método para introdução de práticas integradas de gestão em clusters industriais

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Diretrizes de práticas para transferência de tecnologia de gestão entre Clusters industriais

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Proposta para desenvolvimento de círculos de controle da qualidade em clusters industriais

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Método para desenvolvimento de práticas de gestão integrada em clusters industriais

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Responsabilidade social empresarial na indústria de calçados paulista: Uma análise dos pólos de franca e Birigui

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

A distribuição espacial da indústria do vestuário no Brasil

This paper aims to analyse the spatial distribution of the Brazilian clothing industry in 1997 and 2006. In order to achieve this objective, this study used an exploratory spatial data analysis - ESDA. It was made a univariate analysis of the number of the existing clothing industries among Brazilian states. The null hypotheses of the spatial dependence absence was rejected and the construction of cluster maps showed two patterns: a high industrial concentration and a low one. On the other hand, a bivariate analysis was also conducted to permit a study between the number of clothing industries and the wage income of the neighbor regions. The result revealed spatial dependence besides similar cluster maps in both years. Therefore, two spatial patterns emerged: a high and a low industrial concentration. The final conclusion is that agglomeration economies are the main responsible for the results found in both analyses.

Especialização produtiva e aglomeração industrial: uma análise da indústria de confecções de Ibitinga - SP

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)