|
|
|
| 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
|
|
Received: 12 June 2016
|
|
|
|
|
|
[1] 范斐,杜德斌.基于能力结构模型的区域协同创新研究[J] .地理科学,2015,35(1):66-74.
[2] 范斐,杜德斌.区域科技资源配置效率及比较优势分析[J] .科学学研究,2012,30(8):1198-1205.
[3] 张来武.论创新驱动发展[J] .中国软科学,2013(1):1-5.
[4] CHUNG S.Building a national innovation system through regional innovation systems[J] .Technovation,2002(22):485-490.
[5] TASSEY G.Globalization of technology-based growth:policy imperative[J] .Journal of technology transfer,2008,33(6):560-578.
[6] 范斐,张建清,杨刚强.区域科技资源配置效率的空间溢出效应研究[J] .中国软科学,2016(4):71-80.
[7] 吴建南,郑烨,张攀.基于共词网络分析的国内创新驱动研究热点与趋势[J] .中国科技论坛,2014(6):17-23.
[8] 周明,喻景.创新驱动五大中心城市产业结构转换能力研究[J] .中国科技论坛,2015(8):93-98.
[9] 崔有祥,胡兴华,廖娟,等.实施创新驱动发展战略测量评估体系研究[J] .科研管理,2013(12):308-314.
[10] 姚西龙,牛冲槐,刘佳.创新驱动、绿色发展与中国工业经济的转型效率研究[J] .中国科技论坛,2015(1):57-62.
[11] 朱珠,张琳,叶晓雯,等.基于TOPSIS方法的土地利用综合效益评价[J] .经济地理,2011,32(10):139-144.
[12] 孙才志,董璐,郑德凤.中国农村水贫困风险评价、障碍因子及阻力类型分析[J] .资源科学,2014,36(5):895-905.
[13] 张耀光.最小方差法在农业类型(或农业区)划分中的应用[J] .经济地理,1986,6(1):49-55.
[14] 柳卸林,高太山.中国区域创新能力报告2014—创新驱动与产业转型升级[M] .北京:知识产权出版社,2015.
[15] SOUMITRA Dutta,BRUNO Lanvin.The global innovation index 2015:effctive innovation policies for development[R] .Printed and bound in Geneva,Switzerland,by the World Intellectual Property Organization.
[16] 范斐,杜德斌,等.中国地级以上城市科技资源配置效率的时空格局[J] .地理学报,2013,68(10):1331-1343. |
|
|
|
2017, Vol. 0 
