Content of Migration Studies in our journal

Published in last 1 year |  In last 2 years |  In last 3 years |  All Please wait a minute... For Selected: Download Citations EndNote Ris BibTeX Toggle Thumbnails Select Spatial Patterns and Determinants of Population Flow Networks in China: Based on Four Types of Population Flows Zhang Yaojun, Chen Yun, Wu Xiwei, Qi Jinghan Population Research    2024, 48 (2): 118-132.   Abstract （141）            Knowledge map    Save Studying population flow patterns is essential for comprehending regional population changes and economic and social development trends. Using data from the sixth and seventh national population censuses to classify China's interprovincial population flows into four types: rural-urban, rural-rural, urban-urban, and urban-rural, this paper analyzes the spatial characteristics of population flow networks and their influencing factors using a spatial autoregressive negative binomial model. The results show that: The proportion of rural-urban and urban-urban population flows has increased, while the proportion of rural-rural population flows has decreased. Rural-rural and rural-urban population flows tend to move from west to east, while urban-urban and urban-rural population flows are diverse and bi-directional. China's population center is shifting from a single city (province) to an urban agglomeration. While economic factors play a significant role in rural-urban and rural-rural population flows, the factors influencing urban-rural and urban-urban population flows are complex and diverse. The degree of influence of economic factors on these flows is weakening. Reference | Related Articles | Metrics Select Status and Changes of the Rural Children Left Behind in China: 2010-2020 Lyu Lidan, Mei Ziying, Li Rui, Li Shu, Yan Fang, Wang Xu, Duan Chengrong Population Research    2024, 48 (1): 103-117.   Abstract （916）      PDF （14931KB）（148）       Knowledge map    Save The phenomenon and issues of rural children left behind (RCLB) in China are affecting the flow of human capital between urban and rural areas. This paper clarifies the definition and steps for identifying RCLB, and uses the micro-data of the 2010 and 2020 Population Censuses to analyze relevant characteristics and changing trends over the past ten years. The analysis includes the following aspects: population size of RCLB, their age and sex structure, regional distribution, living arrangements, and educational development. The findings show that the population size of RCLB remained large, and the likelihood of being left-behind was closely related to age and sex. An increasing proportion of RCLB were cared for by grandparents as more mothers migrated between 2010 and 2020. RCLB no longer had any advantage in education opportunity compared with the average level of rural children. Over-age attendance was more noticeable among RCLB than the average level of rural children. We should continue to pay attention to the issue of RCLB and address its root causes. Reference | Related Articles | Metrics