宅基地禀赋与乡城家庭化迁移——基于分期动态家庭迁移决策机制分析
Homestead Endowment and Rural-Urban Family Migration——An Analysis of Decision-Making Mechanism Based on Staged Dynamic Family Migration
邱骏 1吕萍1
作者信息
- 1. 中国人民大学公共管理学院,北京 100872
- 折叠
摘要
家庭化迁移已成为中国乡城迁移的主要模式,具有分期性和动态性的特征.以往的研究主要集中于土地对个体迁移决策的影响,对家庭化迁移的关注较少,也很少有研究考察土地在家庭化迁移不同阶段的影响.基于新迁移经济学理论的视角,在托达罗模型的基础上构建分期动态的家庭化迁移决策机制,将家庭化迁移分为两个阶段:家庭离散阶段和家庭聚合阶段,并利用2017年流动人口动态监测调查数据进行实证分析.研究结果表明:(1)拥有宅基地对家庭化迁移有显著的负向影响;(2)对于拥有宅基地的家庭,宅基地面积对家庭化迁移的影响为显著的"正U型";(3)相比于家庭离散阶段,宅基地禀赋在家庭聚合阶段的影响更大.据此建议进一步保障农民土地产权的稳定性、探索构建农村宅基地流转制度、制定满足迁移家庭基本生活需求的公共服务和户籍制度.
Abstract
Family migration has become the major mode of rural-urban migration in China,charac-terized by staging and dynamics.Previous studies have mainly focused on the impact of land on individual migration decisions,paying less attention to family migration,and few studies have examined the im-pact of land at different stages of family migration.From the perspective of the New Economics of Labor Migration theory,a staged dynamic decision-making mechanism for family migration was constructed based on the Todaro model,which divides family migration into two stages:family separation stage and family reunion stage,and empirical analysis was conducted using the data of the 2017 China Migrant Dy-namic Survey.The findings reveal that owning homestead land has a significant negative impact on fam-ily migration.For families that own homestead land,homestead land area has a significant"positive U-shaped"impact on family migration.Compared to the family separation stage,the endowment of home-stead land has a greater impact on the family reunion stage.Based on the results,it is recommended to further ensure the stability of farmers'land rights,explore the establishment of a rural homestead land transfer system,and formulate public services and household registration systems to meet the basic needs of migrant families.
关键词
家庭化迁移/土地禀赋/土地流转/乡城迁移Key words
family migration/land endowment/land transfer/rural-urban migration引用本文复制引用
基金项目
国家自然科学基金面上项目(72274207)
农业农村部课题(2023)(2023)()
出版年
2024
国家科技期刊平台
NSTL
万方数据