Evaluation of Policy Effectiveness of Contribution-Oriented Science & Technology Changjiang Young Scholars Program ——Quasi-Natural Experiments Based on 211 Universities
Wu Zhouyue1, Zhou Xiaohu1, Wang Qiao2, Liu Jingjing1, Wang Hui1
1. School of Business and Management/Digital Economy Research Institute,Nanjing University of Science and Technology, Nanjing 210094,China; 2. School of Business Administration,Guizhou University of Finance and Economics,Guiyang 550025,China
Abstract：In this study,the“Changjiang Young Scholars Program”,which was first established in 2015,was used as a quasi-natural experiment,and the scientific and technological statistical data of 104 universities in China from 2012 to 2017 were used to construct a PSM-DID model to evaluate the contribution of S&T Changjiang Young Scholars Program.The empirical results show that the S&T Changjiang Young Scholars Program has achieved certain results,which can promote the improvement of academic contributions of universities,especially in the increase of the number of highly cited SCI,scientific and technological works,and projects funded by natural science foundation.However,the S&T Changjiang Young Scholars Program has not significantly improved the economic and social contribution of universities.The heterogeneity analysis shows that the promotion effect of S&T Changjiang Young Scholars Program on academic contribution of universities will be different depending on the level,area,and type of universities.The impact mechanism analysis shows that the effectiveness of the S&T Changjiang Young Scholars Program depends on the human capital structure of universities and the level of talent security.Finally,through a series of robustness tests,the conclusion of this paper is still valid.The research results provide reliable empirical evidence and policy implications for the evaluation and implementation optimization of the Changjiang Young Scholars Program.
吴周玥, 周小虎, 王侨, 刘晶晶, 王晖. 贡献导向下理工类青年长江学者项目的政策有效性评估——基于211高校的准自然实验[J]. 中国科技论坛, 2024(9): 21-31.
Wu Zhouyue, Zhou Xiaohu, Wang Qiao, Liu Jingjing, Wang Hui. Evaluation of Policy Effectiveness of Contribution-Oriented Science & Technology Changjiang Young Scholars Program ——Quasi-Natural Experiments Based on 211 Universities. , 2024(9): 21-31.
[1]薛楚江,谢富纪.政府人才政策、人力资本与区域创新[J].系统管理学报,2022,31(5):920-30. [2]孙鲲鹏,罗婷,肖星.人才政策、研发人员招聘与企业创新[J].经济研究,2021,56(8):143-59. [3]李红锦,李胜会,许林.科技人才分类评价改革能否促进高校科研水平的高质量发展:基于9所高校改革试点的准自然实验[J].中国科技论坛,2021(10):114-23,79. [4]刘晓凤.“双万计划”提升高校人才培养质量了吗？基于财经类高校微观证据的断点回归分析[J].国家教育行政学院学报,2022(1):75-83. [5]张俊艳,雷玲,高文.“三权下放”改革能否促进高校专利技术转移？基于倾向得分匹配-双重差分(PSM-DID)的实证研究[J].科技管理研究,2021,41(24):110-7. [6]张浩,霍国庆,汪明月,等.科技成果转化的战略绩效评价:基于国家科学技术进步奖成果的实证研究[J].科学学与科学技术管理,2020,41(8):7-25. [7]姜璐,董维春,刘晓光.拔尖创新学术人才的成长规律研究:基于青年“长江学者”群体状况的计量分析[J].中国大学教学,2018(1):87-91. [8]AGUINIS H,O'BOYLE JR E.Star performers in twenty-first century organizations[J].Personnel Psychology,2014,67(2):313-50. [9]SONG Y,GNYAWALI D R,SRIVASTAVA M K,et al.In search of precision in absorptive capacity research:a synthesis of the literature and consolidation of findings[J].Journal of Management,2018,44(6):2343-74. [10]KEHOE R R,TZABBAR D.Lighting the way or stealing the shine? An examination of the duality in star scientists'effects on firm innovative performance[J].Strategic Management Journal,2015,36(5):709-27. [11]KEHOE R R,LEPAK D P,BENTLEY F S.Let’s call a star a star:task performance,external status,and exceptional contributors in organizations[J].Journal of Management,2018,44(5):1848-72. [12]TZABBAR D,KEHOE R R.Can opportunity emerge from disarray? An examination of exploration and exploitation following star scientist turnover[J].Journal of Management,2014,40(2):449-82. [13]AGRAWAL A,MCHALE J,OETTL A.How stars matter:recruiting and peer effects in evolutionary biology[J].Research Policy,2017,46(4):853-67. [14]HIGGINS M J,STEPHAN P E,THURSBY J G.Conveying quality and value in emerging industries:star scientists and the role of signals in biotechnology[J].Research Policy,2011,40(4):605-17. [15]TUSHMAN M L,SCANLAN T J.Boundary spanning individuals:their role in information transfer and their antecedents[J].Academy of Management Journal,1981,24(2):289-305. [16]孟华.“青年千人计划”对入选者学术表现的影响——以985高校前五批入选者为例[J].中国人力资源开发,2019,36(10):80-92. [17]孙玉涛,张艺蕾.海外人才引进计划提升了我国大学科研产出吗?以“211”工程大学化学学科为例[J].科研管理,2021,42(10):20-7. [18]董新宇,鞠逸飞,段雨欣.地方政府高层次人才政策实施效果研究[J].中国科技论坛,2022(9):128-38. [19]王宁,徐友真,杨文才.基于因子分析和DEA模型的河南省科技人才政策实施成效评估[J].科学管理研究,2018,36(4):69-72. [20]顾玲琍,王建平,杨小玲.科技人才政策实施效果评估指标体系构建及其应用研究[J].中国人力资源开发,2019,36(4):100-8. [21]BAUMOL W.Productivity growth,convergence,and welfare:what the long-run data show[M].Nashville:Edward Elgar Publishing,2003. [22]李蒙,余宏亮,李永周,等.高校智库人才影响力评价体系建设与启示:基于湖北57所高校研究基地智库人才的调查[J].中国科技论坛,2018(9):40-134. [23]钟卫,陈宝明.中国高校科技成果转化绩效评价研究[J].中国科技论坛,2018(4):41-9. [24]刘勇,应洪斌,蒋芬君.中国高校科技创新能力比较:基于华东地区高校的实证研究[J].研究与发展管理,2014,26(5):113-9. [25]李寒冰,柳岸.中国科学院科技成果转化评价体系研究[J].科技促进发展,2017,13(10):773-8. [26]尹航.基于AHP-Entropy方法的科技成果转化绩效评价[J].运筹与管理,2007(6):7-111. [27]李培鑫,张学良.城市群集聚空间外部性与劳动力工资溢价[J].管理世界,2021,37(11):121-36,83,9. [28]王桂军,张辉.“一带一路”与中国OFDI企业TFP:对发达国家投资视角[J].世界经济,2020,43(5):49-72. [29]王康,李逸飞,李静,等.孵化器何以促进企业创新?来自中关村海淀科技园的微观证据[J].管理世界,2019,35(11):102-18. [30]邱均平,陈诚,陈仕吉.我国高校人文社科科研效率的影响因素与多元路径:基于31个省区市的模糊集定性比较分析[J].图书馆理论与实践,2021(5):1-8.
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