Key Laboratory of Geographical Processes and Ecological Security of Changbai Mountains, Ministry of Education, School of Geographical Science, Northeast Normal University, Changchun, China.
School of Management, Changchun University of Finance and Economics, Changchun, China.
PLoS One. 2021 Jan 12;16(1):e0244665. doi: 10.1371/journal.pone.0244665. eCollection 2021.
Previous studies indicate that migrant integration is associated with migrants' characteristics as well as restrictions and opportunities in receiving cities. However, the effect of receiving cities and the relationship between migrants and receiving cities have not been fully explored due to the lack of large samples from cities. The objective of this study is to examine the effects of receiving cities alone and their regulating role in the interaction with individual characteristics.
Cross-city data on 154,044 Chinese domestic migrants above 15 years old in 289 cities from the 2017 China Migrants Dynamic Survey are used. Migrant integration is assessed by a four-dimensional model proposed by Esser, which is slightly adjusted according to the characteristics of Chinese migrants. A hierarchical linear model is used to measure the proportion of effects of city factors in migrant integration as well as the effects when city factors are considered alone and in interaction with individual factors.
The individual-level and city-level factors are responsible for 69.81% and 30.19% of the effect on migrant integration, respectively. City political factors do not affect migrant integration directly, and cities with larger sizes and higher wages can directly and significantly improve integration, while higher housing prices will directly inhibit integration. From the cross-level interaction of city and individual, different social, economic and political factors at the city level have an indirect impact on migrant integration by inhibiting or strengthening the effect of individual-level factors on migrant integration.
This study is one of the first to show the effect of cities and the relationship between receiving cities and migrants on migrant integration by keeping the national context constant. It is necessary to weaken the social and economic privileges associated with a city's administrative level and reduce the negative impact of cities' social and economic conditions by implementing city agglomeration, developing advantageous industries and optimizing the industrial structure. It is also essential to improve migrants' socioeconomic capital through social support, occupation training and contiguous education.
先前的研究表明,移民融合既与移民自身特征有关,也与接收城市的限制和机会有关。然而,由于缺乏来自城市的大样本,接收城市的影响以及移民与接收城市之间的关系尚未得到充分探索。本研究旨在检验接收城市的单独效应及其在与个体特征相互作用中的调节作用。
使用 2017 年中国流动人口动态调查中来自 289 个城市的 154044 名 15 岁以上中国国内移民的跨城市数据。移民融合采用 Esser 提出的四维度模型进行评估,根据中国移民的特点进行了略微调整。使用分层线性模型来衡量城市因素对移民融合的影响比例,以及当城市因素单独考虑和与个体因素相互作用时的影响。
个体层面和城市层面的因素分别对移民融合的影响贡献了 69.81%和 30.19%。城市政治因素不会直接影响移民融合,城市规模越大、工资水平越高,就能直接显著地提高融合度,而房价越高则会直接抑制融合度。从城市与个体的跨层次交互作用来看,城市层面的不同社会、经济和政治因素通过抑制或增强个体层面因素对移民融合的影响,对移民融合产生间接影响。
本研究在保持国家背景不变的情况下,首次展示了城市对移民融合的影响以及接收城市与移民之间的关系。通过实施城市群发展、发展优势产业和优化产业结构,可以削弱与城市行政级别相关的社会经济特权,并减少城市社会经济条件的负面影响。还需要通过社会支持、职业培训和连续教育来提高移民的社会经济资本。