首页|地方环境对流动人口回流意愿的非线性影响——基于流入地与户籍地的比较分析

地方环境对流动人口回流意愿的非线性影响——基于流入地与户籍地的比较分析

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基于2017年流动人口动态监测调查数据,以流动人口回流意愿为响应变量,以流入地和户籍地的地方环境、个人及家庭因素为解释变量,引入机器学习领域的梯度提升决策树模型,重点探究不同地区地方环境对流动人口回流意愿的非线性影响及阈值效应.研究发现:①户籍地和流入地的地方环境对流动人口回流意愿的总体贡献率达44.1%,是影响回流意愿的重要因素,且两地贡献率大致相当.②地方环境因素与回流意愿间的非线性与线性关系并存.其中,医疗卫生资源、基础教育资源、空气污染状况等因素对回流意愿具有明显的非线性影响,而经济增长、气温条件则以线性影响为主.研究揭示了中国国内城-乡人口回流的特殊性与复杂性,有助于深化新时期人口迁移研究,并为地方人口政策制定提供科学借鉴.
Non-linear influence of regional contexts on return migration intentions:A comparative study between the place of origin and destination
Return migration has become a notable socio-economic trend in the new stage of China's urbaniza-tion,and the analysis of its driving mechanism has received extensive academic attention.As a micro behavior,the re-turn of migrants is not only affected by personal and family factors,but also closely related to external environment.However,existing studies have focused on the role of individual factors,but not enough research has been conducted on the relationship between regional contexts and return migration.We introduce a gradient boosting decision tree model in the field of machine learning,based on the data from the 2017 China Migrants Dynamic Survey,with the re-turn intention as the response variable and the regional contexts—Both in the place of origin and destination—As well as migrants'personal and household factors as the explanatory variables,focusing on the non-linear influence of the regional contexts on the return migration intentions and the threshold effect.The results show that:1)The total contribution of the local contexts of the place of place of the origin and destination to the intentions of the migrants to return is 44.1%,which is an important factor influencing the return intentions,and the contribu-tions of the two places is roughly equal.Among these,medical and health resources and air pollution are ex-tremely important in both places.In addition,economic growth in the place of origin is also important for the return intention of migrants,while the climatic condition in the place of destination is more important;2)There are both non-linear and linear relationships between local contextual factors and migrants'intention to return.Among them,medical and health resources,basic education resources,air pollution have obvious non-linear ef-fects on the return intention,while economic growth and temperature conditions have mainly linear effects;3)The influence of individual factors on return intention is mainly nonlinear effect.There is an irregular U-shaped relationship between age,migration duration and return intention,and the non-linear influence of household in-come is more complex.There is an obvious threshold effect between household housing expenditure and re-turn intention,and a negative correlation between migrant's education level and return intention.This study in-corporates the local contexts of the place of origin and destination into the analytical framework for the mech-anism of return migration,identifies the relative importance of the local context and individual characteristics of the two places on the return intention of the migrants,and reveals the specificity and complexity of internal return migration in China,which contributes to deepening the research on migration in the new era and provides scientific reference for policy makers.

return migrationregional contextnon-linear effectGBDT

祁琪、马瑞光、殷江滨、王紫璇

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陕西师范大学西北国土资源研究中心,陕西西安 710119

中国人民大学经济学院,北京 100872

陕西师范大学全球区域与城市研究院,陕西西安 710119

人口回流 地方环境 非线性效应 梯度提升决策树模型

国家自然科学基金项目

42071213

2024

地理科学
中国科学院 东北地理与农业生态研究所

地理科学

CSTPCDCSSCICHSSCD北大核心
影响因子:3.117
ISSN:1000-0690
年,卷(期):2024.44(2)
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