Analysis on the Obstacle Type of the Innovation-Driven Regions Based on Obstacle Degree Model
Fan Fei1,2,Xiao Zelei3,Yang Gangqiang1,Sun Yuanyuan1
1.Institute for the Development of Central China,Wuhan University,Wuhan 430072,China; 2.Economics and Management School,Wuhan University,Wuhan 430072,China; 3.Hubei Institute of Economic and Social Development,Central China Normal University,Wuhan 430079,China
Abstract：On the basis of the index system built for assessing the innovation-driven regions,this study applied TOPSIS Model to calculate the regional innovation-driven ability of 31 provinces in China for the period of 2000 to 2014.With the help of Obstacle Factor Diagnose Model,this study explored the obstacle factors that impacted the development of the region's innovation-driven ability,and furthermore employed the least-squared-error(LSE)criterion to categorize the system obstacle types of the innovation-driven regions.The results shows:①The general factors that hinder the regional innovation-driven development include the slow adjustment of industrial structure and the manufacturing's slow transformation and upgrading,the relatively low investment in R&D expenditure and the insufficient endogenous power of the independent innovation.②The influence of the different obstacle factors on innovation-driven development vary among regions.Differentiated regional innovation-driven policies should be made in the future based on the different factors the regions are facing.③The types of obstacles impede the improvement of the regional innovation-driven ability include single-system,double-system,triple-system,and quadruple-system.Among the four obstacle types, the“K-C-E Obstacle Model”in the triple-system type is the most common,which stands for the knowledge creating system,the industrial innovation system and the innovation capacity system
范 斐,肖泽磊,杨刚强,孙元元. 基于阻碍度模型的区域创新驱动阻力类型分析[J]. 中国科技论坛, 2017(4): 126-133.
Fan Fei,Xiao Zelei,Yang Gangqiang,Sun Yuanyuan. Analysis on the Obstacle Type of the Innovation-Driven Regions Based on Obstacle Degree Model. , 2017(4): 126-133.
2017, 
