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中国人才集聚时空格局及影响因素研究
引用本文:张美丽,李柏洲,.中国人才集聚时空格局及影响因素研究[J].科技进步与对策,2018,35(22):38-44.
作者姓名:张美丽  李柏洲  
作者单位:1.哈尔滨工程大学 经济管理学院;2.哈尔滨工程大学 企业创新研究所,黑龙江 哈尔滨 150001
基金项目:国家社会科学基金重点项目(14AGL004)
摘    要:基于区位商理论,从时间和空间两个维度分析中国人才集聚变化,运用分位数回归方法探索中国人才集聚影响因素,结果表明:中国各地区人才集聚差距逐年缩小,东部地区人才集聚程度最高、东北地区次之、西部地区第三、中部地区最低;经济发展水平和地方财政性教育投入对所有分位点的人才集聚均具有显著正向影响,工资水平和公共服务水平对低分位点人才集聚具有显著正向影响,城镇化水平对人才集聚在高分位点时具有显著正向影响,大学对人才集聚在中间分位点时具有显著正向影响,地区开放性对人才集聚在不同分位点的影响不一致。最后,针对人才集聚程度较低的地区,从经济基础、政策环境、文化教育和社会环境等方面提出改进建议。

关 键 词:人才  人才集聚  区位商  分位数回归  

Research on Spatial temporal Pattern and Its Influencing Factors of Talent Agglomeration in China
Abstract:Based on the theory of location quotient, This paper analyzed the change of talent agglomeration in China from two aspects: time and space.Then this paper used quantile regression to analyze the influencing factors of talent agglomeration in China.The results show that, the gap in talent agglomeration in various regions of China is decreasing year by year.According to the sequence from high to low, the degree of talent agglomeration of the eastern region is the highest, and the northeastern region takes the second place, the western region is the third one, and the central region is the lowest one.The economic development level and the local fiscal education input have significant positive effects on the talent agglomeration in all the points, the level of wages and public service has a significant positive effect on the talent agglomeration in the low points, the level of urbanization has a significant positive influence on the talent agglomeration in the high points, the university has a significant influence on the talent agglomeration in the middle quantile points, the effect of regional openness on talent agglomeration in different quantile points is not consistent.Finally, this paper gives some suggestions on economic base, policy environment, culture education and social environment to some regions with a low level of talent concentration.
Keywords:Talent  Talent Agglomeration  Location Quotient  Quantile Regression  
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