什么决定了一线城市对人才的吸引力？——基于随机森林法对影响要素的检验分析

What Determines the Talent Attractiveness of First-Tier Cities?——Based on the Random Forest Algorithm of Influential Factors

摘要:

近年来我国致力于通过一线城市大量吸引海内外优秀人才，从而带动整个国家经济社会快速发展，实现人才兴国战略。为了全面深入分析一线城市人才吸引力的主要影响因素，本文构建了四维度整体分析框架，提出采用随机森林法进行异常点度量和特征变量选取, 设计一线城市人才吸引力影响因素的Logistic回归模型, 对影响方式和影响程度进行深入的定量分析。结果表明, 在所选择的17个分析变量中影响显著的有9个因素。研究结果为我国一线城市探究人才吸引力的影响因素, 发挥地区比较优势进一步吸引人才，提供了新的分析方法与实际指导作用。

Abstract:

In recent years，Our country attracted a large number of excellent talents from home and abroad through the first-tier cities, which drive the whole national economic and social development. To examine the major factors that influence first-tier cities talent attraction, we built a four-dimensional analytical framework, measure abnormal pionts and select characteristic value using random forest algorithm, and conduct logistic regression model on influence factors of first-tier cities talent attraction. The result indicate that the 9 out of 17 variables are significant. The finding offer new analytical methods and practical guiding function.