应用SPSS软件进行要素密集型产业分类研究

Research on Means of Production Element Denseness Degree Taxonomy by SPSS

按投入要素密集程度对产业进行分类,是研究经济发展问题的一种不可替代的产业分类方法,但长期以来由于其分类标准具有相对性,操作上存在困难,给研究带来不便。有学者提出了一些解决方法,但计算复杂,不易操作。而借助SPSS软件,采用多元统计分析中的聚类分析法,选择描述分类对象特征的数个指标,对指标特征接近的产业进行归类,操作简便且能动态反映产业结构。通过对制造业29个行业的实证分析,证实了该方法的可行性。

Classifying industry by denseness degree of production element is aCannot substituted industry taxonomy in the domain of economic research. But for long time the operation of the taxonomy is full of difficulties because of the taxonomic criterion is relative, it cause inconvenience to involved research work. Some scholar put forward many solutions, but the calculating processes are too complex so that these solutions are not easy to operate. If making use of statistical software --SPSS, adopting hierarchical cluster analysis step by step, selecting some index which describing the objects character, classifying industries according as the comparability of index character, it will be an solution not only easy to operate but can reveal the dynamic of industry structure. An example of classifying of 29 manufacturing confirmed that this means is feasible.