期刊文献+

新时代东北全面振兴背景下东北地区科技人才集聚路径及对策

The path and countermeasures of scientific and technological talent ag⁃glomeration in Northeast China under the background of the compre⁃hensive revitalization of Northeast China in the new era
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摘要 运用模糊集定性比较分析(fuzzy set qualitative comparative analysis,fsQCA)的方法,探究东北地区科技人才高集聚的实现路径。提出应该抓住机遇,进行人才链与产业链、教育链的协同创新,从特色产业的高质量发展及科教优势的强化等两方面着手,精准聚焦特色产业,加快装备制造产业转型升级、建设先进制造产业集群、发挥行业协会“链主”主导作用、激发中小企业主动对接人才内生动力、发挥高校特色专业优势、提高政府服务意识、优化人才生态环境等对策建议,对东北地区在新时代全面振兴契机下有针对性地调整科技人才战略、集聚科技人才进行有益的探索。 The method of fuzzy set qualitative comparative analysis(fsQCA)was used to explore the path of high concentration of scientific and technological talents in Northeast China.It is proposed that the opportunity should be seized to carry out collaborative innovation of talent chain,industrial chain and education chain.It was suggested that start from the high-quality development of characteristic in‐dustries and the strengthening of scientific and educational advantages,accurately focus on characteris‐tic industries,in order to accelerate the transformation and upgrading of equipment manufacturing in‐dustry.By building advanced manufacturing industry clusters,giving full play to the leading role of"chain masters",stimulating small and medium-sized enterprises to introduce talents,and giving full play to the advantages of colleges and universities,improving the awareness of government services,and optimizing the ecological environment of talents,it can promote the Northeast China to adjust the strategy of scientific and technological talents,gather scientific,technological talents under the back‐ground of comprehensive revitalization in the new era.
作者 刘晖 李宝 刘畅 LIU Hui;LI Bao;LIU Chang(College of Economics and Management,Shenyang Aerospace University,Shenyang 110136,China)
出处 《沈阳航空航天大学学报》 2024年第1期76-89,共14页 Journal of Shenyang Aerospace University
基金 教育部人文社会科学研究一般项目(项目编号:20YJC630079) 沈阳市哲学社会科学重点项目(项目编号:SY202204Z)。
关键词 东北全面振兴 科技人才 人才集聚 模糊集定性比较分析 协同创新 comprehensive revitalization of Northeast China science and technology talents talent gathering fuzzy set qualitative comparative analysis collaborative innovation
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