摘要
首先构建科技人才水平和新旧动能转换能力评价指标体系,然后采用典型相关分析法、层次分析法和TOPSIS法,研究科技人才水平与新旧动能转换能力的关系及相互影响,最后实证分析山东省17市科技人才支撑新旧动能转换的能力,挖掘地区差距及原因,对提升科技人才支撑新旧动能转换能力提出对策建议。
This paper evaluates an index system for the actual level of scientific and technical talents and new and old kinetic energy conversion capabilities,and adopts typical correlation analysis,hierarchy analysis,and TOPSIS method to study the relationship and influence between the level of scientific and technical talents and new and old kinetic energy conversion capabilities.Finally,it analyzes 17 city’s capability of scientific and technical talents support for new and old kinetic energy conversion in Shandong province,excavates regional gaps and reasons,and proposes countermeasures and suggestions for improving the capability of scientific and technical talents support the new and old kinetic energy conversion,so as to provide theoretical reference for provincial and municipal governments to formulate talent development policies to promote new and old kinetic energy conversion.
作者
岳海鸥
陈静
白美
YUE Haiou;CHEN Jing;BAI Mei(Jinan Science and Technology Information institute,Jinan 250001)
出处
《中国科技资源导刊》
2020年第5期89-94,共6页
China Science & Technology Resources Review
基金
2018年度山东省软科学计划“提升山东省科技人才支撑新旧动能转换能力的路径研究”(2018RKA01014)。
关键词
典型相关分析法
层次分析法
TOPSIS
科技人才
新旧动能转换
canonical correlation analysis
hierarchy analysis
TOPSIS
scientific and technical talent
new and old kinetic energy conversion
