以创新动力论为理论基础,从科技人力支持、科技物质支持、城市创新偏好、城市需求拉动和城市科技服务5个方面,选取18个评价指标,采用时序全局因子分析的方法,对2003-2012年浙江11个城市的科技驱动力进行评价,对城市科技驱动力的动态变化规律进行分析。运用系统聚类方法将城市划分为3个层次,运用梯度分析将城市划分为由低至高的3个梯度,分析显示城市科技驱动力的空间分异原因在于城市创新偏好和城市科技服务。
The city's driving force of science and technology is the comprehensive driving factor of scientific and technological progress, and is the reason of the difference of regional science and technology. Based on the theory of innovation motivation, the paper selects 18 evaluation indexes from five aspects i.e., human support, material support, innovation preferences, demand pull and science and technology service, and uses the data from 2003 to 2012 of 11 cities in Zhejiang to analyze the dynamic change rules of the urban driving force of science and technology by means of weighting method with timing global factor analysis. The 11 cities are divided into three levels by system clustering method and three gradients by gradient analysis. The reasons of time-spacial differentiation of the city's driving force of science and technology are shown through variation analysis as innovation preferences and science and technology services.
[1] 向刚, 陈晓丽, 李兴宽, 等. 创新型企业的持续创新动力评价模型构建与应用[J]. 科技管理研究, 2010(4):53-56. Xiang Gang, Chen Xiaoli, Li Xingkuan, et al. Evaluation models of sustainable innovation dynamics of innovative enterprises[J]. Science and Technology Management Research, 2010(4):53-56.
[2] 苏屹, 刘敏.高技术企业创新生态系统可持续发展机制与评价研究[J].贵州社会科学, 2018(5):105-113. Su Qi, Liu Min. Research on sustainable development mechanism and evaluation of high-tech enterprise innovation ecosystem[J]. Guizhou Social Science, 2018(5):105-113.
[3] 屠年松, 杨梦源, 柴鑫, 等.基于属性测度的企业绿色持续创新动力评价研究[J].生态经济, 2018(5):86-92. Tu Niansong, Yang Mengyuan, Chai Xin, et al. Research on the driving powers evaluation of enterprise's green sustainable innovation based on attribute measurement[J]. Ecological Economy, 2018(5):86-92.
[4] 韩磊, 周荣华. 江苏科技创新动力机制作用强度演化研究[J]. 科技与经济, 2018(4):21-25. Han Lei, Zhou Ronghua. Research on the intensity evolution of the dynamic mechanism for scientific and technological innovation in Jiangsu[J]. Technology and Economics, 2018(4):21-25.
[5] 陈宏宇, 任培强, 范晓. 厦门城市创新力发展研究[J]. 中国科技论坛, 2013(1):100-105. Chen Hongyu, Ren Peiqiang, Fan Xiao. Study on the development of Xiamen's innovation capacity[J]. China Science and Technology Forum, 2013(1):100-105.
[6] 张省, 顾新. 城市创新系统动力机制研究[J]. 科技进步与对策, 2012(5):35-39. Zhang Xing, Gu Xin. Research on dynamic mechanism of city innovation system[J]. Scientific and Technological Progress and Countermeasures, 2012(5):35-39.
[7] 王碧琦. 2017年度长三角城市群科技创新驱动力城市排名TOP10[J]. 决策, 2018(8):8. Wang Biqi. TOP10 cities of driving force of scientific and technological innovation in Yangtze river delta city group in 2017[J]. Decision, 2018(8):8.
[8] 朱国栋, 陈媛. 副省级城市科技创新能力评价研究[J]. 价值工程, 2018(12):39-41. Zhu Guodong, Chen Yuan. Research on evaluation of science and technology innovation capability of sub-provincial cities[J]. Value Engineering, 2018(12):39-41.
[9] 刘惠敏. 长江三角洲城市群综合承载力的时空分异研究[J]. 中国软科学, 2011(10):114-122. Liu Huimin. Global factor analysis and spatial differentiation study on comprehensive carrying capacity of urban agglomeration in the Yangtze River Delta[J]. China Soft Science, 2011(10):114-122.
[10] 任若恩, 王惠文. 多元统计数据分析——理论、方法、实例[M]. 北京:国防工业出版社, 1997:164. Ren Ruoen, Wang Huiwen. Multivariate statistical data analysis:Theory, method, example[M]. Beijing:National Defense Industry Press, 1997:164.