Spatio-temporal preference and driving mechanism of migrant workers' mobility in China: based on the data of the national floating population dynamic monitoring survey from 2011 to 2018
(1.Hubei Key Laboratory for Geographical Process Analysis & Simulation, Central China Normal University, Wuhan 430079, China;2. Academy of Wuhan Metropolitan Area, Hubei Development and Reform Commission & Central China Normal University, Wuhan 430079, China)
Abstract:The issue of migrant workers concerns China's overall economic and social development, and is also one of the core issues that needs to be addressed in promoting rural revitalization and development. In this study, the spatial preference of migrant workers' mobility at different time sections is analyzed by constructing migrant workers' mobility network, and QAP method is used to explore the key factors driving the choice of migrant workers' flow spatial preference. The results are shown as follows. 1) The total number of migrant workers continues to increase, but the growth rate slows down. 2) Migrant workers mainly flow from west to east. Beijing-Tianjin-Hebei, Shanghai-Jiangsu-Zhejiang and Guangdong Province are the main inflow areas, and the central and western regions are the main outflow sources. 3) The majority of migrant workers in the migration network are 31 to 50 years old, and most migrant workers have only junior high school education or below. The main migration centers are Beijing, Shanghai, Tianjin, Zhejiang, Guangdong, Jiangsu and other eastern developed provinces or cities. 4) QAP regression results shows that migrant workers' mobility preference has a significant relationship with per capita GDP, per capita disposable income of residents, the proportion of output value of secondary industry, the proportion of output value of tertiary industry, the number of public schools above junior middle school,the distance between provincial capitals and whether they are neighboring provinces.
蒋子龙,王 军,尹文欣,朱媛媛,. 中国农民工流动时空偏好及驱动机理研究——基于2011—2018年全国流动人口动态监测调查数据的分析[J]. 华中师范大学学报(自然科学版), 2022, 56(6): 1011-1020.
JIANG Zilong,WANG Jun,YIN Wenxin,ZHU Yuanyuan,. Spatio-temporal preference and driving mechanism of migrant workers' mobility in China: based on the data of the national floating population dynamic monitoring survey from 2011 to 2018. journal1, 2022, 56(6): 1011-1020.