A Combined Evaluation Model for Competitiveness Assessment of Private Science and Technology Parks in China

Abstract

This paper established a combined evaluation model to assess the competitiveness of Private Science and Technology Parks (PSTPs) in China to support their scientific development. More specifically, the evaluation index system is identified according to the previous study. Three commonly used methods, including Grey Relational Analysis (GRA), Technique for Order Preference by Similarity to Ideal Solution (TOPSIS), and Principal Components Analysis (PCA), are utilized to obtain each evaluation result. Considering the inconsistency of the above results, this paper conducted a combined evaluation method to gain a more scientific and reasonable result. Finally, a numerical example was taken to show the effectiveness of the proposed model.