A Development Pattern Analysis Method Based on FA-DEA Clustering with its Application in China Software Parks Research
Xiaojun Shi · Shuxue de shijian yu renshi · 2005
As development pattern analysis is becoming more and more popular in modern economics and management research, a structural method to do development model research is presented in this paper. It consists of three key steps: model classification; model comparison; and model evolution analysis. Especially, two points of the method are different from other researches, that is, using DEA results to represent Intuitional Efficiency and Scale Efficiency; using a ″two-steps method″ to utilize absolute metrics on key factors and relative metrics on efficiency comprehensively in the clustering model. This paper also gives a detailed application example of this method in China Software Parks Development Model Analysis. In this example, we got the results fairly good and convincing, which approves the effects of the method we put forward in this paper.