山东省科技人才政策的发展历程与实证评估研究
Research on Development Process and Empirical Evaluation of Shandong Province's Science and Technology Talent Policies
王君玲 1林悦1
作者信息
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.
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.
关键词
科技人才政策/政策关键词/社会治理体系/DEA模型Key words
Science and technology talent policies/Policy keywords/Social governance system/DEA model引用本文复制引用
基金项目
2022年国家社会科学基金一般项目(22BZZ088)
出版年
2024
国家科技期刊平台
NSTL
万方数据