摘要：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.
其他摘要：This paper aims to analyse the spatial distribution of the Brazilian clothingindustry in 1997 and 2006. In order to achieve this objective, this study usedan exploratory spatial data analysis - ESDA. It was made a univariate analysisof the number of the existing clothing industries among Brazilian states. The nullhypotheses of the spatial dependence absence was rejected and the constructionof cluster maps showed two patterns: a high industrial concentration and a lowone. 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 neighborregions. The result revealed spatial dependence besides similar cluster maps inboth years. Therefore, two spatial patterns emerged: a high and a low industrialconcentration. The final conclusion is that agglomeration economies are the mainresponsible for the results found in both analyses.
关键词：Indústria do vestuário;análise exploratória de dados espaciais;concentração industrial;Clothing industry;exploratory spatial data analysis;industrial clusters
其他关键词：Clothing industry; exploratory spatial data analysis; industrial clusters
