地理科学进展 ›› 2021, Vol. 40 ›› Issue (1): 73-84.doi: 10.18306/dlkxjz.2021.01.007

• 可持续城镇化 • 上一篇    下一篇

中国跨省流动人口回流意愿的空间差异及影响因素

张华(), 刘哲达, 殷小冰   

  1. 环境遥感与数字城市北京市重点实验室,北京师范大学地理科学学部,北京 100875
  • 收稿日期:2020-07-06 修回日期:2020-10-22 出版日期:2021-01-28 发布日期:2021-03-28
  • 作者简介:张华(1979— ),男,湖北松滋人,博士,讲师,主要从事人口地理与区域发展等方面的教学与研究工作。E-mail: zhanghua@bnu.edu.cn
  • 基金资助:
    国家自然科学基金项目(41671497)

Spatial differences and influencing factors of inter-provincial migrant workers’ backflow intention in China

ZHANG Hua(), LIU Zheda, YIN Xiaobing   

  1. Beijing Key Laboratory of Environmental Remote Sensing and Digital Cities, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China
  • Received:2020-07-06 Revised:2020-10-22 Online:2021-01-28 Published:2021-03-28
  • Supported by:
    National Natural Science Foundation of China(41671497)

摘要:

在中国城市产业结构升级和乡村经济发展的宏观背景下,乡城流动人口的返乡回流现象逐渐显现,流动人口呈现外出与回流并存的趋势,大量的流动人口回流对中国的新型城镇化和城乡发展产生了重要影响,是探索中国城乡关系变化的重要视角。论文采用2016年全国流动人口卫生计生动态监测调查数据,建立二分类Logistic模型,对全国跨省流动人口回流意愿的空间差异和影响因素进行分析。研究结果表明:① 具有回流意愿的流动人口具有相似的人口学特征,包括年龄较大、受教育水平较低、没有稳定的婚姻状态等;② 跨省流动人口的回流意愿具有明显的空间差异,从流入地来看,东南沿海地区和西部地区的流动人口回流意愿较高,从流出地来看,中部地区的流动人口回流意愿较高;③ 流动人口的回流意愿受到个人因素、流动因素、家庭因素、制度因素多个方面的影响,其中年龄、婚姻状况、受教育程度、进城务工时间、是否为独自流动、家庭月收入、现住房性质、社会保障制度对流动人口回流意愿具有显著影响。

关键词: 省际流动人口, 回流意愿, 空间差异, 二分类Logistic模型

Abstract:

Along with the urban industrial structure adjustment and the development of the rural economy, a large-scale backflow of inter-provincial migrant workers gradually emerged, which had a tremendous impact on China's economic and social development. The spatial differences and influencing factors of inter-provincial migrant workers' backflow intention are vital issues, particularly in predicting the changing demographic trends and understanding the migrant population's needs and demands. Drawing on data from the 2016 China Migrant Population Dynamic Survey, this study discussed the spatial distribution and influencing factors of 82846 inter-provincial migrant workers from 31 provinces of China's mainland using a binary Logistic regression model. The results are as follows: 1) Older migrant workers with lower education level or without stable marital status seem to have stronger backflow intention. 2) The distribution of backflow intention presents a remarkable spatial differentiation. Among the three main geographical regions, the backflow intention of migrant workers currently in the eastern and western regions of China is stronger while the migrant workers who came from the central region express their clear willingness to return. 3) Backflow intention is influenced by personal factors of migrant population, their migration characteristics, family factors, and institutional factors. For all the factors, age, marital status, education, years of working after migration, migrating with family or not, family income, housing condition, and social security system are significant forces that shape the spatial pattern of inter-provincial migrant workers' backflow intention in China.

Key words: inter-provincial migrant workers, backflow intention, spatial difference, binary Logistic regression model