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作 者:常家源 李占芳 马婧 Chang Jiayuan;Li Zhanfang;Ma Jing(School of Management,Shenyang Normal University;Research Institute of Statistical Sciences,National Bureau of Statistics)
机构地区:[1]沈阳师范大学管理学院 [2]国家统计局统计科学研究所
出 处:《调研世界》2025年第3期77-86,共10页The World of Survey and Research
基 金:沈阳市哲学社会科学专项资金项目“人才促进沈阳经济高质量发展的路径与对策研究”(SY20230260Y)的资助。
摘 要:本文聚焦于人才集聚对区域创新效率的影响机制,基于2007—2022年中国省际面板数据,分析人才集聚强度、质量及潜力的动态演变与空间分布,并深入探讨其对科技创新效率的多元影响。研究结果表明:人才集聚强度呈现东高西低态势,人才集聚质量明显提升,人才集聚潜力分布不均衡。但整体人才集聚水平对科技创新效率的影响呈倒“U”型关系并存在异质性特征。经济发达地区与人口净流入地区的人才集聚对科技创新效率的影响呈倒“U”型,而这种影响在经济欠发达地区与人口净流出地区则表现为正向促进。因此,需要优化产业布局与人才政策,科学配置人才资源,提升区域创新效率,引导人才合理流动,强化区域协同发展,全面提升人才培养质量,增强人才集聚效应。未来研究可进一步细化人才类型、深化政策效应分析,以及探索更多调节变量对人才集聚与创新效率关系的影响。This paper focuses on the mechanism of the influence of talent agglomeration on regional innovation efficiency.Based on China’s inter-provincial panel data from 2007 to 2022,this paper analyzes the dynamic evolution and spatial distribution of talent agglomeration intensity,quality and potential,and further explores its multiple impacts on the efficiency of scientific and technological innovation.The results show that the intensity of talent agglomeration is high in the east and low in the west,the quality of talent agglomeration has been significantly improved,and the distribution of talent agglomeration potential is unbalanced.However,the influence of the overall talent agglomeration level on the efficiency of scientific and technological innovation shows an inverted U-shaped relationship with heterogeneity.The influence of talent agglomeration on the efficiency of scientific and technological innovation is inverted U-shaped in the economically developed areas and the population net inflow areas,while the effect is positive in the economically underdeveloped areas and the population net outflow areas.Therefore,it is necessary to optimize industrial layout and talent policies,scientifically allocate talent resources,improve regional innovation efficiency,guide the rational flow of talents,strengthen regional coordinated development,comprehensively improve the quality of talent training,and enhance the effect of talent agglomeration.Future studies can further refine the types of talents,deepen the analysis of policy effects,and explore the impact of more moderating variables on the relationship between talent agglomeration and innovation efficiency.
分 类 号:F061.5[经济管理—政治经济学] F124.3
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