Research on Current Situation of Jiangsu Science and Technology Resource Allocation based on Clustering and Corresponding Analysis
Ling Feng1,2,Qi Yong2
(1.Management School of Guangxi University of Science & Technology, Liuzhou 545006,China; 2.Economic management School of Nanjing University of Science & Technology, Nanjing 210094,China)
凌峰,戚湧. 基于聚类与对应分析的江苏科技资源配置现状研究[J]. 科技进步与对策, 2019, 36(10): 41-48.
Ling Feng,Qi Yong. Research on Current Situation of Jiangsu Science and Technology Resource Allocation based on Clustering and Corresponding Analysis. SCIENCE & TECHNOLOGY PROGRESS AND POLICY, 2019, 36(10): 41-48.
[1]丁厚德.科技资源及其配置的研究[J].中国科技资源导刊,2009,41(2):1-7. [2] GRILIEHES Z, LICHTENBERG F.Inter-industry technology flows and Produetivity gowth:a reex-mination[J].Review of Eeonomics Studies,1984(86):324-329. [3] EATON J. Intemational technology diffusion [D].Mimeo:BostonUniversity,1993. [4] BENHABIB J,SPIEGEL M M.The role of human capital in economic development,evidence from aggregate cross——country data[J].Journal of Monetary Economics,1994,34(2):143-173. [5] NAZRUL ISLAM.Growth empirics:a panel data approach[J]. Quarterly Journal of Economics,1995,110(4):1127-1170. [6] NEARY J P.Pitfalls in the theory of international trade policy : concertina refoncs of tariffs,and subsidies to high-technology industries[J].Scandinavian Journal of Economics.1998,100(1):187-206. [7] United States Patent and Trade Mark Offiee. Strategie Plan 2007-2012 Draft [EB/OL].(2005-09-07)[2006-08-28]. http://www.usPto.Gov/main/homepagenews/bak2006aug28.htm. [8] KNUT B,JAKOB E,RAINER F,ULRICH S.Motives to Pateni:empirical evidence from Germany[J].Research Policy 2006,35(5):655-672. [9] SEPEHR G, SOROUS G. Developing lran′s government strategies for strengthening the national system of innovation using SWOT analysis[J].Science & Public Poliey(SPP),2006,33(7):529-540. [10]HALL B H,LOTTI F,MAIRESSE J.Evidence on the impact of R&D and ICT investments on innovation and productivity in Italian firms[J].Economics of Innovation and New Technology,2013,22(3):300-328. [11] 李石柱,李冬梅,唐五湘.影响我国区域科技资源配置效率要素的定量分析[J].科学管理研究,2003(21):60-73. [12] 王玉霞,蒋伏心.科技资源配置效率视角下区域自主创新能力的制约因素和提升路径——以苏南为例[J].经济问题,2010(5):123-126. [13] 孙绪华.我国科技资源配置的实证分析效率评价[D].武汉:华中农业大学,2011. [14] 周伟,张仁俊.基于BSC的区域科技资源配置能力的评价指标体系[J].统计与决策,2012(3):39-41. [15] 孟卫东.区域创新体系科技资源配置效率影响因素实证分析[J].统计与决策,2013(4):96-99. [16] 周寄中.科学技术创新管理[M].北京:经济科学出版社,2014. [17] 赵树宽,张大伟.面向区域创新的科技信息资源优化配置模式研究[J].图书情报工作,2015(59):40-46. [18] 孙夙鹏.区域创新资源配置系统的差异性研究[D].镇江:江苏大学,2016. [19] 陈套.中国创新体系的治理与区域创新治理能力评价研究[D].合肥:中国科学技术大学,2016. [20] 游达明,邸雅婷,姜珂.我国区域科技创新资源配置效率的实证研究——基于产出导向的SBM模型Malmquist生产率指数[J].软科学,2017(31):71-76. [21] 樊传浩,许蕾,王济干.市域协同创新水平动态评价及可视化分析——以江苏省13市为例[J].科技进步与对策,2018(35):42-49.