借助一系列投入产出指标计算分析了中国东部沿海制造业的总体集聚态势,并选择其中15个具有显著集聚特征的二位数制造业作为研究对象,采用综合规模指数进一步分析东部沿海典型二位数制造业的集聚态势;构建利润—综合规模指数关系变化趋势图,分析判断了这15个二位数制造业集聚的合理性,并将15个二位数制造业归类为集聚推进、集聚适度、集聚过度三大类型,借助数据包络分析(DEA)模型判断哪些具体制造业在哪些地区已集聚过度,借助差额变数分析,为生产要素优化配置提供决策依据。

The changes of the whole industry by meanings of a series of input and output targets were analyzed in the paper. Fifteen industries with high agglomeration level were selected as subjects of study. According to the relationship between profit and scale indices of input production factors, the main result was found that some manufacturing industries’agglomeration became much more excessive in southeast beaboard China, there were surplus input and output deficit on combination of factors on the progress of spatial agglomeration of manufacturing industries. The result of Data Envelopment Analysis (DEA)on slack variable showed that when there was a decrease in input factor or an advance in combination of factors, the cost of product could be cut down and the efficiency could be improved by increasing productivity in order to achieve a rational distribution. As a result, the manufacturing industries can be divided into excessive agglomeration industry, appropriate agglomeration industry and promising agglomeration industry. By means of DEA, the excessive agglomeration areas were fund out. The result of the analysis of slack variable can do some help to make policy of tabling the agglomeration suitability of manufacturing industries and rationalization of industry in those excessive agglomeration industry areas.