Port Degree Of Industrial Clustering Evaluation Index System

Industrial cluster's competitive power plays a very important role in the world economic competition. It is not only the framework of the world economy, but also the essence of the regional competitive power. A cluster phenomenon is that the relative companies concentrate in the limited area and get competitive advantage.The domestic research most focuses on agglomeration mechanism and cluster theory. There are fewer papers about the quantitative index. In fact the industry cluster degree evaluation index system contributes to the understanding of the cluster theory and evaluation of the cluster degree.Base on the Marshall and Porter's theory, an evaluation system is set up which consists of 16 indexes about technology spillover, reducing transaction cost, scale effect and human resource effect. At last the paper evaluates the Dalian port-centered industry cluster degree by using the AHP and the Principle Component Factor Analysis with SPSS. Through research, it reaches such conclusions: (1) Port-centered industry cluster degree is a comprehensive index which embodies the cluster's features such as cluster economy, flexible specialization, innovation environment, cooperative competition and path dependence. The stronger the cluster degree is, the clearer the cluster features are. And the factor scores are larger correspondingly. If some of the features are not distinct enough, the factor scores will be smaller. The method is a kind of trial on the literature so far. Because the different understanding of the cluster theory and adoption of the different index system, the conclusion may have the discrepancy(2)There are many different evaluation methods, including Spatial Gini Coefficient, Index of Concentration, Spider Diagrams, GEM assay and Principle Component Factor analysis on input-output table etc, which have respective advantage and weakness. Comparing with other methods, the method in this paper has its own merits, which can collect data through the Statistical Yearbook and analysis the cluster more comprehensively, correctly and positively.(3)The Principle factor analysis is used to analyze the 16 indexes and five factors are concluded, which are technology spillover factor, reducing transaction cost factor, scale effect factor, human resource effect factor and embeddness factor. The factors measure the industry cluster degree objectively.