人口研究 ›› 2017, Vol. 41 ›› Issue (5): 40-51.

• 论文 • 上一篇    下一篇

中国省际人口迁移的地缘效应与驱动机制:男女有别吗?

曾永明   

  1. 江西财经大学生态经济研究院
  • 出版日期:2017-09-29 发布日期:2018-01-04
  • 作者简介: 曾永明,江西财经大学生态经济研究院讲师。
  • 基金资助:
    本文为江西省社会科学十三五规划基金项目( 编号: 16SH11) 和中国博士后基金面上项目( 编号: 2016M602080)的部分研究成果

Geographical Effects and Driving Mechanism of Inter-provincialMigration in China:Are Men and Women Different?

Zeng Yongming   

  1. Institute of Eco-economics,Jiangxi University of Finance and Economics.
  • Online:2017-09-29 Published:2018-01-04
  • About author:Zeng Yongming is Lecturer,Institute of Eco-economics,Jiangxi University of Finance andEconomics.

摘要: 文章基于空间OD模型和六普人口省际迁移流数据研究中国人口省际迁移流的地缘效应驱动机制与男女差异文章得出的主要结论: ( 1) 中国人口迁移流内含显著的空间依赖中迁出迁入地独立的空间自相关效应促进人口迁移而迁出地-迁入地交互的空间自相关效应阻碍人口迁移( 2) 总体上中国人口省际迁移流受迁出地推力作用弱于迁入地的拉力作用表明人口迁移更多是出于对迁入地的美好预期而非对迁出地的过度抱怨”。( 3) 人口迁移流的驱动机制有显著的性别差异: 女性迁移流受驱动因子的影响强于男性女性的失业风险就业歧视更为明显; 男性在人口迁移的空间选择上受空间依赖的影响强于女性这与性别禀赋和社会环境有关

关键词: 人口迁移流, 地缘效应 , 空间依赖 , 性别差异 , 空间 OD 模型

Abstract: Using the spatial OD modelthis study analyzes the migration flows among 31 provinces in China by exploring geographical effectsdriving mechanismand gender differences based on the inter-provincial migration data of the 6th Population CensusInter-provincial migration exhibit significant spatial dependencein which the origin and destination separate spatial autocorrelation promotes migrationwhereas the origin-destination joint spatial autocorrelation hinders migrationIn generalthe pushfrom origin is weaker than the pullfrom destination in Chinese inter-provincial migration
There are significant gender differences in the driving mechanismImpact of driving factors on female migration is stronger than that for male migrationUnemployment risk and employment discrimination are more evident in female migrationMales are more strongly influenced by spatial dependence than
females in the choice of migration destinationwhich could be explained by the gender differences of endowment and social environment

Keywords: Migration Flows,  Geographical Effects ,  Spatial Dependence ,  Gender Differences ,  Spatial OD Model