地理研究 ›› 2021, Vol. 40 ›› Issue (2): 513-527.doi: 10.11821/dlyj020191122

• 研究论文 • 上一篇    下一篇

城市更新过程中流动人口居住-就业变动的协同机制研究——以北京为例

党云晓1(), 湛东升2, 谌丽3(), 张文忠4,5, 吴绍华1   

  1. 1.浙江财经大学土地与城乡发展研究院,杭州 310018
    2.浙江工业大学管理学院,杭州 310023
    3.北京联合大学应用文理学院,北京 100191
    4.中国科学院区域可持续发展分析与模拟重点实验室,北京 100101
    5.中国科学院地理科学与资源研究所,北京 100101
  • 收稿日期:2019-12-25 接受日期:2020-05-18 出版日期:2021-02-10 发布日期:2021-04-10
  • 通讯作者: 谌丽
  • 作者简介:党云晓(1987-),女,河南济源人,博士,副研究员,硕士生导师,主要研究方向为城市居住环境与居民生活质量。E-mail: xiaoxiao187@126.com
  • 基金资助:
    浙江省哲学社会科学规划课题(20NDJC138YB);北京市属高校高水平教师队伍建设支持计划项目(CIT&TCD201904075);教育部人文社会科学研究基金项目(20YJCZH221);国家自然科学基金项目(41701184);国家自然科学基金项目(41871170)

The coordination mechanism of migrants' residence and employment change in the process of urban renewal: A case study of Beijing

DANG Yunxiao1(), ZHAN Dongsheng2, CHEN Li3(), ZHANG Wenzhong4,5, WU Shaohua1   

  1. 1. Institute of Land and Urban-rural Development, Zhejiang University of Finance and Economics, Hangzhou 310018, China
    2. School of Management, Zhejiang University of Technology, Hangzhou 310023, China
    3. College of Arts and Sciences, Beijing Union University, Beijing 100191, China
    4. Key Laboratory of Region Sustainable Development Modeling, CAS, Beijing 100101, China
    5. Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China
  • Received:2019-12-25 Accepted:2020-05-18 Online:2021-02-10 Published:2021-04-10
  • Contact: CHEN Li

摘要:

城市更新过程中流动人口面临居住与就业的不稳定。本文构建流动人口居住与就业协同变动的理论分析框架,使用北京大样本问卷调研数据,基于双层级双变量离散选择模型,分析城市更新背景下流动人口居住-就业变动协同性及其与背景环境的关系。结果发现:流动人口的居住/就业变动概率远高于本地人口,城市更新对流动人口居住和就业的不稳定性影响更大;流动人口的居住变动行为与就业变动行为是相互作用的协同过程,单项变动极有可能引发双变动的调整。居住在城中村数量较多的街道,流动人口发生居住变动的概率更大。青年流动人口的居住-就业变动协同性相比老一代更高,而且街道的居住不稳定性与青年流动人口的居住行为不稳定更相关。

关键词: 流动人口, 城市更新, 居住变动, 就业变动, 协同机制

Abstract:

In the last 40 years, China has experienced large-scale migration, which has greatly contributed to its urban construction and economic growth. Meanwhile, migrants face residence and employment instability in the process of urban renewal. The existing literature mostly attributes this instability to individual factors, but ignores the influence of macro events (such as urban demolition and reconstruction) or the industrial restructuring on migrants' lives. Moreover, in most studies, migrants' residence and employment changes are regarded as independent behaviors of non-interference rather than as correlated behaviors. To fill these research gaps, this study builds a theoretical framework for the coordinative changes of migrant residences and employment. Based on a large-scale survey in Beijing in 2013, we use multilevel bivariate probit models to analyze how the background features impact migrants' residence and employment changes under urban renewal. In particular, this research focuses on two types of background features: the instability of residence, which is measured by the number of city villages in the sub-district, and the instability of employment, which is measured by the proportional area of the wholesale and retail industries in the sub-district. Moreover, we analyze the coordinative change between migrants' residences and employment. The results show that: (1) Compared with residents, migrants are more likely to change residence and employment, and the instability of their residence and employment are correlated more with urban renewal. Migrants living in the city center have higher stability in their residences and employment than those in outlying areas. (2) At the sub-district level, the difference in probability of employment change is significantly greater than that of residence changes. Residence and employment changes are correlated, and change in residence (or employment) is likely to lead to changes in employment (or residence) simultaneously. (3) Migrants living in the sub-districts of city villages have tended to report a higher probability of residence change in the last five years. (4) The young-generation migrants have higher coordination of residence-employment change than old-generation migrants, and the residence instability of the young generation is more related to the instability of the living environment in the sub-districts.

Key words: migrants, urban renewal, residence change, employment change, coordination mechanism