Patterns of onwards migration within the urban hierarchy of China: Who moves up and who moves down?

城市等级制度 等级制度 国内移民 中国 背景(考古学) 经济地理学 城市化 地理 奖学金 人口经济学 人口 政治学 社会学 经济增长 人口学 经济 考古 法学
作者
Jiejing Wang,Xin Mai,Lizheng Zhang
出处
期刊:Urban Studies [SAGE Publishing]
卷期号:60 (12): 2436-2455 被引量:5
标识
DOI:10.1177/00420980221144236
摘要

This paper examines onwards migration patterns and the factors that influence them in urban China. In contradiction to Ravenstein’s laws of step migration, we argue that movement up the urban hierarchy does not dominate onwards migration in the Chinese context. Using the 2017 China Migrants Dynamic Survey, we model how past migratory experiences intersect with migrants’ demographic and socio-economic characteristics to explain the stay-versus-move decision and who moves up as well as who moves down within China’s urban hierarchy. The general pattern of China’s domestic migration is a movement up the urban hierarchy in the first migration and a movement down in onwards migration. We identify a transition-levels effect whereby the larger the difference between the hukou-registered place and the first migration city in the urban hierarchy, the greater the probability of onwards migration, with the effect manifesting most strongly for less-educated, mid-age (the 1970s and 1980s birth cohorts) migrants with rural origins. As to onwards migration direction, mixed results were found for migrants’ demographic and socio-economic characteristics whereas educational level and the transition-levels effect are both highly predictive of movement up and down the urban hierarchy. Our findings suggest that ‘jumping too high’ in previous migration(s) predicts a greater likelihood of moving down the urban hierarchy in response to insurmountable obstacles to settling in cities classified as large and above. Our research advances migration scholarship by considering the multipolar nature of onwards migration and offering an integrated approach to analysis that foregrounds the causes and effects of multiple-step migration.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
yjy完成签到 ,获得积分10
1秒前
谢佩奇发布了新的文献求助10
2秒前
John完成签到 ,获得积分10
3秒前
shen完成签到,获得积分10
3秒前
科研菜菜完成签到,获得积分10
3秒前
XD824发布了新的文献求助10
4秒前
4秒前
甘sir完成签到 ,获得积分10
4秒前
6秒前
冲冲冲完成签到,获得积分10
7秒前
白色蒲公英完成签到,获得积分10
7秒前
nandou完成签到,获得积分10
8秒前
嵇南露完成签到,获得积分10
9秒前
CodeCraft应助飞在天空的风采纳,获得10
9秒前
kk119完成签到,获得积分10
9秒前
汉堡包应助梅雨季来信采纳,获得10
10秒前
10秒前
阿都发布了新的文献求助10
10秒前
queen814完成签到,获得积分10
10秒前
温婉的勒完成签到,获得积分10
11秒前
彭a完成签到,获得积分10
11秒前
LLL完成签到,获得积分10
11秒前
leo完成签到,获得积分10
12秒前
机灵含巧发布了新的文献求助20
12秒前
风趣的小甜瓜完成签到,获得积分10
13秒前
独特的谷雪完成签到,获得积分10
13秒前
licheng完成签到,获得积分10
13秒前
希望天下0贩的0应助728采纳,获得10
13秒前
14秒前
14秒前
SciGPT应助胡大嘴先生采纳,获得10
15秒前
hustscholar完成签到,获得积分10
17秒前
漂泊1991完成签到,获得积分10
17秒前
白桃乌龙完成签到,获得积分10
18秒前
bzc229完成签到,获得积分10
18秒前
秀丽的依云完成签到 ,获得积分10
18秒前
CipherSage应助LLL采纳,获得10
19秒前
20秒前
芝麻完成签到,获得积分10
20秒前
周先森完成签到,获得积分10
20秒前
高分求助中
Technologies supporting mass customization of apparel: A pilot project 600
Izeltabart tapatansine - AdisInsight 500
Chinesen in Europa – Europäer in China: Journalisten, Spione, Studenten 500
Arthur Ewert: A Life for the Comintern 500
China's Relations With Japan 1945-83: The Role of Liao Chengzhi // Kurt Werner Radtke 500
Two Years in Peking 1965-1966: Book 1: Living and Teaching in Mao's China // Reginald Hunt 500
Epigenetic Drug Discovery 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 物理 生物化学 纳米技术 计算机科学 化学工程 内科学 复合材料 物理化学 电极 遗传学 量子力学 基因 冶金 催化作用
热门帖子
关注 科研通微信公众号,转发送积分 3815945
求助须知:如何正确求助?哪些是违规求助? 3359450
关于积分的说明 10402728
捐赠科研通 3077293
什么是DOI,文献DOI怎么找? 1690285
邀请新用户注册赠送积分活动 813693
科研通“疑难数据库(出版商)”最低求助积分说明 767743