湖北农业科学 ›› 2019, Vol. 58 ›› Issue (9): 188-192.doi: 10.14088/j.cnki.issn0439-8114.2019.09.042

• 乡村振兴 • 上一篇    

基于分层回归模型的三峡库区农村移民后期扶持参与度影响因素研究——以重庆市涪陵区为例

刘晶, 汪洋, 代立   

  1. 武汉大学土木建筑工程学院,武汉 430072
  • 收稿日期:2018-11-16 出版日期:2019-05-10 发布日期:2019-12-05
  • 通讯作者: 汪 洋(1980-),男,湖北黄石人,副教授,硕士研究生导师,博士,主要从事城市可持续发展、绿色建筑、工程社会学、区域产业发展等研究,(电子信箱)wangyang.whu@foxmail.com。
  • 作者简介:刘 晶(1994-),女,湖北荆州人,在读硕士研究生,研究方向为工程移民、政府绩效,(电话)18140537613(电子信箱)m18140537613@163.com
  • 基金资助:
    国家自然科学基金项目(71373190)

A study on the influencing factors of the participation degree of rural migrants in the late stage based on the hierarchical regression model:A case study of Fuling district,Chongqing,Three Gorges reservoir area

LIU Jing, WANG Yang, DAI Li   

  1. School of Civil Engineering and Architecture,Wuhan University,Wuhan 430072,China
  • Received:2018-11-16 Online:2019-05-10 Published:2019-12-05

摘要: 为有效提高三峡库区农村移民后期扶持参与度,以促进后期扶持达到政府预期效果。选取移民种类丰富的重庆市涪陵区进行问卷调研,利用SPSS 21.0软件进行数据分析,建立农村移民参与度影响因素分层回归模型,得出5层回归模型中农村移民参与度显著性影响因素。根据数据结果,有针对性地提出了提高农村移民后期帮扶参与度的措施。

关键词: 农村移民, 后期扶持, 分层回归模型, 三峡库区

Abstract: In order to effectively improve the participation of rural migrants in the Three Gorges reservoir area in the late stage to achieve the expected effect of the government, the Fuling district of Chongqing city with rich immigration types was selected for questionnaire survey. Using SPSS 21.0 software for data analysis, a hierarchical regression model of the factors affecting rural immigration participation was established, and the significant influence factors of rural immigrant participation in the 5-layer regression model were obtained. In response to the data results, measures to improve the participation of rural migrants in the late stage were proposed.

Key words: rural immigrants, late support, hierarchical regression, Three Gorges reservoir area

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