智库理论与实践2026，Vol.11Issue(3)：39-49,11.DOI:10.19318/j.cnki.issn.2096-1634.20250417.0004
基于PMC指数模型的中国科技人才评价政策量化分析与启示
Quantitative Evaluation of China's Science and Technology Talent Evaluation Policy Based on the PMC Index Model
摘要
Abstract
[Purpose/Significance]Deepening the reform of scientific and technological(S&T)talent eval-uation urgently requires the support of a scientific effective,and evidence-based policy system.The quantitative evaluation results of S&T talent evaluation policies can provide useful references for the adjustment and optimisa-tion of related policies,which is of far-reaching significance for stimulating the innovation vitality of S&T talents and boosting the construction of an innovative country.[Method/Process]Based on the 73 S&T talent evaluation policies issued by China's central government since 2012,this study adopts the methods of text mining and PMC index model to construct an evaluation system consisting of 10 first-level variables and 45 second-level variables,and selects 10 policies to carry out multi-dimensional quantitative evaluation.[Result/Conclusion]The findings indicate that the overall quality of the policies is high,but the scores on the indicators of policy timeliness,policy subject and policy guarantee are low,and the policy contents need to be expanded.It is recommended that in the process of policy formulation,the policy content should be enriched continuously,the overall timeliness should be emphasised,the synergy of relevant departments should be strengthened,and the effect of policy implementation should be ensured through the implementation of diversified policy tools and safeguard measures.关键词
PMC指数模型/科技人才评价/政策评价/文本挖掘Key words
PMC index model/scientific and technological talent evaluation/policy evaluation/text mining分类
社会科学引用本文复制引用
洪影珊,刘莉,齐骥..基于PMC指数模型的中国科技人才评价政策量化分析与启示[J].智库理论与实践,2026,11(3):39-49,11.基金项目
本文系教育部人文社会科学研究规划基金项目课题"绩效考核对一流大学青年教师科研创新行为的影响与促进机制研究"(项目编号:24YJA880033)研究成果之一. （项目编号:24YJA880033）
