Research on the Flow Law of Chinese Strategic Scientific and Technological Talents in Different Growth Stages ——Taking 281 Academicians of Chinese Academy of Engineering as an Example
Qu Qunzhen1, Gao Siyu1, Niu Ping2
1. School of Economics and Management,Shanghai Maritime University,Shanghai 201306,China; 2. Exchange,Development & Service Center for Science & Technology Talents,The Ministry of Science & Technology of the People's Republic of China,Beijing 100045,China
Abstract:As the representative group of strategic scientific and technological talents in China,academicians of the Chinese Academy of Engineering(CAE)provide great support for China Science Think Tank and strategic scientific and technological decision-making.This paper takes the academicians of CAE co-opted from 2015 to 2021 as the research object,collects flow information of 281 academicians during their three main growth stages,including the flows from their native places to the places where they entered higher education for the first time,the flows between the places where they got their first employment and the places where they studied for their highest education,and the flows between their workplaces.The social network analysis method is used to analyze the three networks.The results show that with the growth of academicians,the flow of academicians tends to be stable,Beijing gradually becomes the core of the national academician flow network,and the attractiveness of provincial administrative regions to academicians is affected by the level of local higher education.To sum up,this paper gives suggestions on fostering and retaining strategic scientific and technological talents from three aspects,including government departments,universities,research institutes and enterprises,as well as strategic scientific and technological talents.
瞿群臻, 高思玉, 牛萍. 中国战略科技人才成长阶段流动规律研究——以281名中国工程院院士为例[J]. 中国科技论坛, 2023(3): 104-114.
Qu Qunzhen, Gao Siyu, Niu Ping. Research on the Flow Law of Chinese Strategic Scientific and Technological Talents in Different Growth Stages ——Taking 281 Academicians of Chinese Academy of Engineering as an Example. , 2023(3): 104-114.
[1]杜谦,宋卫国.科技人才定义及相关统计问题[J].中国科技论坛,2004(5):137-141. [2]雷环,汤威颐,EDWARD F.等.培养创新型、多层次、专业化的工程科技人才:CDIO工程教育改革的人才理念和培养模式[J].高等工程教育研究,2009(5):29-35. [3]盛楠,孟凡祥,姜滨,等.创新驱动战略下科技人才评价体系建设研究[J].科研管理,2016,37(S1):602-606. [4]MURRAY A,PALLADINO R.Developing human capitals in today's entrepreneurs:a practitioner perspective[J].Journal of intellectual capital,2021,22(4):681-702. [5]DI F.Empirical research on the influencing factors of the conversion efficiency of scientific and technological achievements in colleges and universities based on tobit model[J].Educational sciences:theory & practice,2018,18(6):2794-2807. [6]HANUSHEK E A,WOESSMANN L.The knowledge capital of nations:education and the economics of growth.Cambridge,MA:MIT Press,2015. [7]李万.集聚培育战略科技人才势在必行[N].学习时报,2018-07-25(6). [8]尹志欣,王宏广.顶尖科学人才现状及发展趋势研究[J].科学学与科学技术管理,2017,38(6):23-30. [9]黄涛,樊艳萍.战略科技人才的“五自”素养:来自“中国芯之父”邓中翰的启示[J].人才资源开发,2021(15):95-96. [10]张平,马力.战略科技人才培育路径仿真研究[J].管理现代化,2020,40(2):81-87. [11]ENRIQUE C C,PATROCINIO C Z,HIPÓLITO M M,et al.Intellectual capital in family firms:human capital identification and measurement[J].Journal of intellectual capital,2015,16(1):199-223. [12]AINO K A,JOSUNE S B,NEKANE A B.Knowledge-based human resource management practices,intellectual capital and innovation[J].Journal of business research,2017,Vol.81:11-20. [13]罗青兰,于桂兰,孙乃纪.高层次人才职业发展阶段与成长路径探究[J].云南财经大学学报(社会科学版),2012,27(2):94-97. [14]方勇,邵振权,冯勇.国家杰出青年科学基金项目负责人成长特征研究:基于学术生命周期理论与数据分析[J].中国高校科技,2021(7):28-33. [15]郝天聪.我国高技能人才培养的误区及模式重构:基于高技能人才成长的视角[J].中国高教研究,2017(7):100-105. [16]王星,郭晓,付杨林.基于创新型人才阶段性素质特征的培养模式研究[J].科技与经济,2015,28(3):81-85. [17]ALKHUDARY R,GARDINER P.Stages in project managers' careers:learning and growth opportunities[J].International journal of project management,2021,Vol.39(5):536-545. [18]KRISHNAN T N,SCULLION H.Talent management and dynamic view of talent in small and medium enterprises[J].Human resource management review,2017,Vol.27(3):431-441. [19]朱英,郑晓齐,章琰.中国科技创新人才的流动规律分析:基于国家“万人计划”科技创新领军人才的实证研究[J].中国科技论坛,2020(3):166-173. [20]高阵雨,陈钟,王长锐,等.我国高层次科技人才流动情况探析:以国家杰出青年科学基金获资助者为例[J].中国科学基金,2019,33(4):363-366. [21]柳瑛,薛新龙,苏丽锋.中国高端人才布局与流动特征研究:以长江学者特聘教授为例[J].中国科技论坛,2021(2):100-108+131. [22]聂晶鑫,刘合林.中国人才流动的地域模式及空间分布格局研究[J].地理科学,2018,38(12):1979-1987. [23]朱鹏程,张宇,曹卫东,等.长三角企业经营管理人才空间分布及其地理流动网络:基于上市公司董监高团队数据分析[J].人文地理,2020,35(4):121-129. [24]陈丽媛,荀渊.学术人才国际流动如何影响科研产出:以四所“双一流”建设高校的经济学科为例[J].教育发展研究,2020,40(21):11-19. [25]靳军宝,曲建升,吴新年,等.中国高层次科技人才省际流动复杂网络特征研究[J].科技管理研究,2021,41(21):112-118. [26]KERR S P,KERR W,ÇAĞLAR ÖZDEN,et al.Global talent flows[J].Journal of economic perspectives,2016,30(4):83-106. [27]LATUKHA M,SHAGALKINA M,MITSKEVICH E,et al.From brain drain to brain gain:the agenda for talent management in overcoming talent migration from emerging markets[J].The international journal of human resource management,2021,33(11):2226-2255. [28]WANG J,GAO J,LIU J H,et al.Regional economic status inference from information flow and talent mobility[J].Europhysics letters,2019,125(6):68002. [29]JONS H.Talent mobility and the shifting geographies of latourian knowledge hubs[J].Population,space place,2015,21(4):372- 389. [30]周杰.国家工程技术图书馆院士著作馆建设研究[J].数字图书馆论坛,2013(10):20-25. [31]徐娟.学术制度变革与我国大学高层次人才流动的变迁:来自我国6类项目人才履历的实证证据[J].中国高教研究,2020(3):50-56. [32]徐军海,黄永春,邹晨.长三角科技人才一体化发展的时空演变研究:基于社会网络分析法[J].南京社会科学,2020(9):49-57. [33]刘军.整体网分析讲义:UCINET软件实用指南[M].上海:格致出版社,2009.