区域协调可持续发展潜力的主成分聚类分析

Principal Component Analysis and Cluster Analysis on Coordinative and Su stainable Regional Development

党的十七届五中全会提出坚持把科技进步和创新作为加快转变经济发展方式的重要支撑，并对全面推进国家创新体系、加快建设创新型国家作出重要部署。区域创新体系是国家创新体系的重要组成部分，加强区域创新体系建设对于加快区域科技进步和创新的步伐，推动区域经济和社会的全面、协调、可持续发展具有重要意义。

This paper constructs a measurement system of the coordinative and sustainable regional development according to the related theories, analyzes the current status of the coordinative and sustainable development of 31 different regions in China by means of collecting data, ranking and classifying them with SPSS, using Principal Component Analysis （PCA） and clustering analysis. And finally the entire region is classified into six different categories. Besides, the paper studies the main characteristics of coordinative and sustainable development of each category, proposes some positive suggestions, and provides proper references for measuring and promoting the level of coordinative and sustainable development.