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中国城市群劳动力集聚特征及空间影响因素研究

王建宁 钱明辉

统计与决策2025,Vol.41Issue(11):80-84,5.
统计与决策2025,Vol.41Issue(11):80-84,5.DOI:10.13546/j.cnki.tjyjc.2025.11.013

中国城市群劳动力集聚特征及空间影响因素研究

Research on the Characteristics of Labor Force Agglomeration and Spatial Influencing Factors in Chinese Urban Agglomerations

王建宁 1钱明辉2

作者信息

  • 1. 中国人民大学 人口与健康学院||中国劳动关系学院 劳动经济学院,北京 100048
  • 2. 东北财经大学 实验经济学实验室,辽宁 大连 116025
  • 折叠

摘要

Abstract

From the perspective of the spatial agglomeration of the labor force in China,and based on the spatial panel data of 297 prefecture-level and above cities in China from 2005 to 2022,this paper uses the fixed-coefficient spatial dynamic Durbin model to study the labor force agglomeration characteristics and spatial influencing factors of the three national-level urban ag-glomerations,namely the Beijing-Tianjin-Hebei urban agglomeration,the Yangtze River Delta urban agglomeration,and the Pearl River Delta urban agglomeration.The results go as below:China's urban agglomerations have formed a multi-polar development pattern,and the cumulative effect of labor agglomeration is obvious,with labor force"reservoir"effect.There is significant spill-over effect of labor agglomeration in Chinese urban agglomerations,with labor force tending to cluster in economically developed areas.Urban development will enhance the attractiveness of labor force,but the negative effect of living costs is evident.The de-velopment characteristics of urban agglomeration industries will have different impacts on labor agglomeration.Heavy industry or traditional manufacturing industries will have a positive impact on labor agglomeration,while high-end manufacturing industries with higher levels of automation will reduce the demand for traditional labor.

关键词

中国城市群/劳动力/空间集聚/影响因素

Key words

urban agglomeration of China/labor force/spatial agglomeration/influencing factors

分类

管理科学

引用本文复制引用

王建宁,钱明辉..中国城市群劳动力集聚特征及空间影响因素研究[J].统计与决策,2025,41(11):80-84,5.

基金项目

中国劳动关系学院教改项目(JG24015) (JG24015)

中国劳动关系学院教师学术创新团队支持计划资助项目(25ZYJ007) (25ZYJ007)

国家社会科学基金一般项目(20BJY256) (20BJY256)

统计与决策

OA北大核心

1002-6487

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