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Identifying industrial clusters in Malaysia

机译:识别马来西亚的产业集群

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摘要

Economic growth depends on strong industrial linkages. The economic growth is influenced by the industrial total output rate which depends on industrial linkages. Forward and Backward linkage indices deal with the performance of individual industries and it is also important to study linkages among industries. Cluster analysis of input and output coefficients can reveal important clusters which are group of industries that has strong supply and buyer relationship. Industrial clusters can provide more information on inter-industry dependence. This paper identifies the national industrial clusters in Malaysia by examining the interindustry selling and purchasing relationship based on the Malaysia Input-Output Table 2005 using cluster analysis. The input and output coefficients were obtained from Input-Output table, 120 industries by 120 industries. Cluster analysis of the correlation matrix for pairwise linkage ratios was carried out using Ward's hierarchical clustering algorithm. Hierarchical cluster analysis results twelve distinct industrial clusters.
机译:经济增长取决于强大的产业联系。经济增长受到产业总产率的影响,这取决于产业联系。向前和落后的联系索引处理个别行业的表现,并且在行业之间研究联系也很重要。输入和输出系数的集群分析可以揭示重要的集群,这些集群是具有强大供应和买家关系的行业组。产业集群可以提供有关行业间依赖的更多信息。本文通过使用聚类分析检查基于马来西亚输入输出表2005的互动销售和采购关系,确定马来西亚国家产业集群。输入和输出系数由120个行业的输入输出表,120个行业获得。使用Ward的分层聚类算法执行对成对链接比的相关矩阵的集群分析。分层集群分析结果12种不同的工业集群。

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