Evaluation on Regional Scientific and Technological Innovation Capacity Based on Principal Component Analysis

Abstract

Through establishing the indicator system that reflects the regional scientific and technological innovation capacity, this paper applies the Principal Component Analysis and Cluster Analysis Method to make empirical analysis and comparative analysis on regional scientific and technological innovation capacity of 30 provinces, cities and districts within China Mainland, and concludes the comprehensive ranking of all regions' scientific and technological innovation capacity. Finally, by taking Gansu as an example, it points out the deficiencies in the aspect of scientific and technological innovation, and also puts forward corresponding countermeasures and suggestions.