Evaluation of the Provincial Innovation Competitiveness and Research of the OptimizationModel of Innovation Clusters Under Government Assistance<br/>——An Empirical Research Based on Particle Swarm Optimization
Evaluation of the Provincial Innovation Competitiveness and Research of the OptimizationModel of Innovation Clusters Under Government Assistance ——An Empirical Research Based on Particle Swarm Optimization
WANG Peng, LI Shuo-shuo
College of Economics, Jinan University, Guangzhou 510632, China
Abstract Government support plays an important role in enhancing regional innovation capability and the formation of innovation clusters with distinctive features. Using provincial innovation index system, this paper studies the collaboration of the government for innovation and the value of innovation competitiveness through data envelopment analysis (DEA) and the analytic hierarchy process (AHP). In addition, this paper combines the collaboration of the government with the inter-provincial competition and cooperation by using Particle Swarm Optimization to explore the optimization trend of provincial innovation clusters. The empirical results show that: only 19% of the provincial governments support shows the relative effectiveness of regional innovation; provincial innovation competitiveness is generally low and innovation capacity needs to be further improved. With the integration of government support for innovation into the inter-provincial competition and cooperation, China’s innovation activity presents agglomeration towards areas with high innovation abilities and three innovation clusters are formed.
WANG Feng,LI Shuo-Shuo. Evaluation of the Provincial Innovation Competitiveness and Research of the OptimizationModel of Innovation Clusters Under Government Assistance ——An Empirical Research Based on Particle Swarm Optimization. Economic Survey, 2018, 35(4): 015.
2018, Vol. 35 
