科技人才与科技创新协同度测度模型及应用
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摘要
分析了科技人才与科技创新之间的相互作用,阐述了两者协同发展的机理。基于此,构建了科技人才子系统有序度模型、科技创新子系统有序度模型、复合系统协同度测度模型。对2006-2016年我国科技人才与科技创新复合系统相同基期和相邻基期协同度进行实证分析,结果表明,科技人才与科技创新复合系统相同基期协同度显著上升,科技人才与科技创新复合系统相邻基期协同度处于稳定的低度协同演变状态,科技人才子系统与科技创新子系统协同度增长幅度在协同作用中更加趋于一致,两个子系统趋于良好的互相促进过程中。最后,提出了促进该复合系统协同发展的对策建议。
The interaction and coordinated development mechanism between S&T talents and S&T innovation were analyzed. Based on this, it constructed the S&T talents subsystem order degree model, the S&T innovation subsystem order degree model and the composite system synergetic degree measurement model. Adopting statistics from 2006 to 2016 in mainland China, it conducted an empirical analysis on the S&T talents and S&T innovation composite system synergy of the same base period, and the adjacent base period as well, the data of the past decade shows that the same base-phase synergies of S&T talents and S&T innovation composite system have risen significantly, while the adjacent base phase synergies of S&T talents and S&T innovation composite systems have been stable and at low-level, and the synergy growth rate of S&T talents subsystems and S&T innovation subsystems tends to be more consistent in the synergies and to be in a good mutual promotion process. Some suggestions for promoting the coordinated development of the composite system were proposed.
The interaction and coordinated development mechanism between S&T talents and S&T innovation were analyzed. Based on this, it constructed the S&T talents subsystem order degree model, the S&T innovation subsystem order degree model and the composite system synergetic degree measurement model. Adopting statistics from 2006 to 2016 in mainland China, it conducted an empirical analysis on the S&T talents and S&T innovation composite system synergy of the same base period, and the adjacent base period as well, the data of the past decade shows that the same base-phase synergies of S&T talents and S&T innovation composite system have risen significantly, while the adjacent base phase synergies of S&T talents and S&T innovation composite systems have been stable and at low-level, and the synergy growth rate of S&T talents subsystems and S&T innovation subsystems tends to be more consistent in the synergies and to be in a good mutual promotion process. Some suggestions for promoting the coordinated development of the composite system were proposed.
引文
[1] 夏天.创新驱动过程的阶段特征及其对创新型城市建设的启示[J].科学学与科学技术管理,2010,31(2):124-129.
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[3] 李琦.产业科技人才在科技成果产业化中的作用[J].中国高校科技,2016(6):91-93.
[4] FURMAN J L,HAYES R.Catching up or standing still?national innovative productivity among "follower" countries,1978-1999[J].Research Policy,2004,33(9):1329-1354.
[5] NIEVES J,QUINTANA A,OSORIO J.Organizational knowledge and collaborative human resource practices as determinants of innovation[J].Knowledge Management Research&Practice,2016,14(3):237-245.
[6] 芮雪琴,李亚男,牛冲槐.科技人才聚集的区域演化对区域创新效率的影响[J].中国科技论坛,2015(12):126-131.
[7] 修国义,韩佳璇,陈晓华.科技人才集聚对中国区域科技创新效率的影响——基于超越对数随机前沿距离函数模型[J].科技进步与对策,2017,34(19):36-40.
[8] 王晖.科技人才聚集效应与科技创新产出的关系研究[J].湘潭大学学报:哲学社会科学版,2014,38(4):28-32.
[9] 王聪,周立群,朱先奇,等.基于人才聚集效应的区域协同创新网络研究[J].科研管理,2017,38(11):27-37.
[10] MIRANDA-MARTEL M J,MIHI-RAMIREZ A,ARTEAGA-ORTIZ J.How the level of economic growth and the constituent elements of innovation attract international talent?[J].Engineering Economics,2017,28(2):187–197.
[11] OECD.Reviews of innovation policy:China[M].ORCD ilibrary,2008.
[12] 皮亚杰.结构主义[M].北京:北京商务印书馆,1996.
[13] 孙冰,张敏.基于序参量的企业自主创新动力系统协同机理研究[J].中国科技论坛,2010(10):19-24.
[14] 贺灵,单汨源,邱建华.创新网络要素及其协同对科技创新绩效的影响研究[J].管理评论,2012,24(8):58-68.
[15] 罗兴鹏,张向前.我国“十三五”期间创新驱动战略实施与科技人才发展互动耦合研究[J].科技进步与对策,2015,32(17):145-151.
[16] 査成伟,陈万明,唐朝永,等.高技术产业科技人才聚集效应与技术创新协同研究[J].科技进步与对策,2015,32(1):147-152.
[17] 徐思思,张红方.科技型人才聚集与高新产业协同度研究——基于武汉市的分析[J].武汉理工大学学报:社会科学版,2018,31(2):113-119.
[18] HAKEN H SYNERGETICS.Introduction and advanced topics[M].3nd Berlin:Springer,2004:24-45.
[19] 孟庆松,韩文秀.复合系统协调度模型研究[J].天津大学学报,2000(4):444-446.
[20] 夏业领,何刚.中国科技创新-产业升级协同度综合测度[J].科技管理研究,2018,38(8):27-33.
[21] 王宏起,徐玉莲.科技创新与科技金融协同度模型及其应用研究[J].中国软科学,2012(6):129-138.
[22] 郭跃进,朱平利.我国区域科技人才竞争力评价研究[J].科技进步与对策,2014,31(8):130-134.
[2] 程郁,陈雪.创新驱动的经济增长——高新区全要素生产率增长的分解[J].中国软科学,2013(11):26-39.
[3] 李琦.产业科技人才在科技成果产业化中的作用[J].中国高校科技,2016(6):91-93.
[4] FURMAN J L,HAYES R.Catching up or standing still?national innovative productivity among "follower" countries,1978-1999[J].Research Policy,2004,33(9):1329-1354.
[5] NIEVES J,QUINTANA A,OSORIO J.Organizational knowledge and collaborative human resource practices as determinants of innovation[J].Knowledge Management Research&Practice,2016,14(3):237-245.
[6] 芮雪琴,李亚男,牛冲槐.科技人才聚集的区域演化对区域创新效率的影响[J].中国科技论坛,2015(12):126-131.
[7] 修国义,韩佳璇,陈晓华.科技人才集聚对中国区域科技创新效率的影响——基于超越对数随机前沿距离函数模型[J].科技进步与对策,2017,34(19):36-40.
[8] 王晖.科技人才聚集效应与科技创新产出的关系研究[J].湘潭大学学报:哲学社会科学版,2014,38(4):28-32.
[9] 王聪,周立群,朱先奇,等.基于人才聚集效应的区域协同创新网络研究[J].科研管理,2017,38(11):27-37.
[10] MIRANDA-MARTEL M J,MIHI-RAMIREZ A,ARTEAGA-ORTIZ J.How the level of economic growth and the constituent elements of innovation attract international talent?[J].Engineering Economics,2017,28(2):187–197.
[11] OECD.Reviews of innovation policy:China[M].ORCD ilibrary,2008.
[12] 皮亚杰.结构主义[M].北京:北京商务印书馆,1996.
[13] 孙冰,张敏.基于序参量的企业自主创新动力系统协同机理研究[J].中国科技论坛,2010(10):19-24.
[14] 贺灵,单汨源,邱建华.创新网络要素及其协同对科技创新绩效的影响研究[J].管理评论,2012,24(8):58-68.
[15] 罗兴鹏,张向前.我国“十三五”期间创新驱动战略实施与科技人才发展互动耦合研究[J].科技进步与对策,2015,32(17):145-151.
[16] 査成伟,陈万明,唐朝永,等.高技术产业科技人才聚集效应与技术创新协同研究[J].科技进步与对策,2015,32(1):147-152.
[17] 徐思思,张红方.科技型人才聚集与高新产业协同度研究——基于武汉市的分析[J].武汉理工大学学报:社会科学版,2018,31(2):113-119.
[18] HAKEN H SYNERGETICS.Introduction and advanced topics[M].3nd Berlin:Springer,2004:24-45.
[19] 孟庆松,韩文秀.复合系统协调度模型研究[J].天津大学学报,2000(4):444-446.
[20] 夏业领,何刚.中国科技创新-产业升级协同度综合测度[J].科技管理研究,2018,38(8):27-33.
[21] 王宏起,徐玉莲.科技创新与科技金融协同度模型及其应用研究[J].中国软科学,2012(6):129-138.
[22] 郭跃进,朱平利.我国区域科技人才竞争力评价研究[J].科技进步与对策,2014,31(8):130-134.