中国人事科学 ›› 2024, Vol. 51 ›› Issue (7): 33-44.

• 人才资源开发 • 上一篇    下一篇

山东省科技人才政策的发展历程与实证评估研究*

王君玲, 林悦   

  • 出版日期:2024-07-26 发布日期:2024-08-22
  • 作者简介:王君玲 山东工商学院副教授;林悦 山东工商学院硕士研究生
  • 基金资助:
    * 本文系2022年国家社会科学基金一般项目“重大突发公共卫生事件网络舆情嬗变机理与引导策略研究”(项目编号:22BZZ088)的阶段性研究成果

Research on Development Process and Empirical Evaluation of Shandong Province’s Science and Technology Talent Policies

Wang Junling, Lin Yue   

  • Online:2024-07-26 Published:2024-08-22

摘要: 回顾和评价山东省科技人才政策发展历程,对于完善山东省未来科技人才工作具有重要的指导意义。文章以2000年1月至2023年6月山东省科技人才政策为研究对象,运用Rost CM和NetDraw软件提取了各个时期科技人才政策文本的关键词并进行网络可视化分析,基于社会治理理论探究了各个阶段山东省科技人才政策的发展特征及趋势;运用DEA模型对科技人才政策实行效果进行评估。研究表明,山东省科技人才政策在治理主体、治理规则、治理机制、治理目标四个维度均存在显著的演变过程,整体呈现出引才方式多元化、科技人才类型多元化、科技人才评价专业化的发展趋势。经评估得出,山东省科技人才政策的实施效果还有较大的提升空间,关键在于规模效率的提升。

关键词: 科技人才政策, 政策, 社会治理体系, DEA模型

Abstract: Reviewing and evaluating the development process of Shandong Province's science and technology talent policies has important guiding significance to improving the future work of science and technology talents in Shandong Province. This paper takes Shandong Province’s science and technology talent policies from January 2000 to June 2023 as the research object, uses Rost CM and NetDraw to extract keywords of science and technology talent policy texts from different periods, conducts network visualization analysis, explores the development characteristics and trends of Shandong Province’s science and technology talent policies at each stage based on the social governance theory, and evaluates the effectiveness of implementing science and technology talent policies using the DEA model. As shown by the research, there is a significant evolution process in four dimensions, including governance subjects, rules, mechanisms, and goals of Shandong Province’s science and technology talent policies, and the overall trend is towards diversified talent introduction methods, diversified science and technology talent subjects, and specialized science and technology talent evaluation. After evaluation, it is found that there is still significant room for improvement in the implementation effect of Shandong Province’s science and technology talent policies, and the key lies in the improvement of scale efficiency.

Key words: Science and technology talent policies, Policy, Social governance system, DEA model

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