Spatiotemporal Differentiation of the School-Age Migrant Population in Liaoning Province, China, and Its Driving Factors

Xu, Wei; Song, Chunrui; Sun, Dongqi; Yu, Bin

doi:10.3390/land10101036

Cited by 3 publications

(1 citation statement)

References 46 publications

(43 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In addition to the large-scale migration and flow of population, the population has moved from villages to towns, and from small and medium cities to large cities (Wu, et al, 2019;. Education urbanization is the result of population urbanization and the dualization of urban and rural education, which is reflected in the transfer of rural students to urban schools (Fowler and Walberg, 1991;Mei et al, 2015;Ye et al, 2019;Xu et al, 2021). This has a profound impact on the size and structure of the compulsory education school-age population in big cities (Ding et al, 2018).…”

Section: Introductionmentioning

confidence: 99%

Spatiotemporal heterogeneity of primary and secondary school student distribution in Liaoning Province, China from 2010 to 2020

Liu

Zhu²,

Wang³

2022

Front. Earth Sci.

View full text Add to dashboard Cite

Data mining student information helps to understand the compulsory education population size, structure, distribution and flow characteristics. Here, the spatial evolution, regional disparity, and emerging spatiotemporal distribution patterns are analyzed based on statistical data of primary and secondary education in Liaoning Province from 2010 to 2020. Demographic and spatial analysis methods, population size and structural changes were used in the assessments. The scale of primary and secondary school students in Liaoning Province declined, the gender imbalance was alleviated, and the proportion of migrant students increased. The distribution of students in primary and secondary schools is clearly unbalanced, and an increasingly evident central direction of flow from the countryside to the city exists. The overall difference in distribution of primary and secondary school students in Liaoning Province exhibits a trend of narrowing and then expanding, which is largely due to the uneven distribution among the non-agricultural municipal district, agriculture-related municipal district, and agriculture-related county. The emerging hot spot analysis patterns were dominated by consecutive and intensifying cold spots, spatiotemporal persistent and intensifying hot spots. Overall, these educational statistics and spatial analysis results provide important insights into population and educational geography.

show abstract

Section: Introductionmentioning

confidence: 99%

Spatiotemporal heterogeneity of primary and secondary school student distribution in Liaoning Province, China from 2010 to 2020

Liu

Zhu²,

Wang³

2022

Front. Earth Sci.

View full text Add to dashboard Cite

show abstract

Impact of the COVID-19 Epidemic on Population Mobility Networks in the Beijing–Tianjin–Hebei Urban Agglomeration from a Resilience Perspective

Fang

Yang

et al. 2022

Land

View full text Add to dashboard Cite

As an important symbol and carrier of regional social and economic activities, population mobility is a vital force to promote the re-agglomeration and diffusion of social and economic factors. An accurate and timely grasp on the impact of the COVID-19 epidemic on population mobility between cities is of great significance for promoting epidemic prevention and control and economic and social development. This study proposes a theoretical framework for resilience assessment, using centrality and nodality, hierarchy and matching, cluster, transmission, and diversity to measure the impact of the COVID-19 epidemic on population mobility in the Beijing–Tianjin–Hebei (BTH) urban agglomeration in 2020–2022, based on the migration data of AutoNavi and social network analysis. The results show that the COVID-19 epidemic had different impacts on the population network resilience of the BTH urban agglomeration based on the scale and timing. During the full-scale outbreak of the epidemic, strict epidemic prevention and control measures were introduced. The measures, such as social distancing and city and road closure, significantly reduced population mobility in the BTH urban agglomeration, and population mobility between cities decreased sharply. The population mobility network’s cluster, transmission, and diversity decreased significantly, severely testing the network resilience. Due to the refinement of the epidemic control measures over time, when a single urban node was impacted, the urban node did not completely fail, and consequently it had little impact on the overall cluster, transmission, and diversity of the population mobility network. Urban nodes at different levels of the population mobility network were not equally affected by the COVID-19 epidemic. The findings can make references for the coordination of epidemic control measures and urban development. It also provides a new perspective for the study of network resilience, and provides scientific data support and a theoretical basis for improving the resilience of BTH urban agglomeration and promoting collaborative development.

show abstract

The Impact of Agricultural Labor Migration on the Urban–Rural Dual Economic Structure: The Case of Liaoning Province, China

Zhao

Liu

et al. 2023

Land

View full text Add to dashboard Cite

Based on the practical requirements of China’s urban–rural integrated development, it is of great theoretical and practical significance to analyze the impact of agricultural labor migration on the urban–rural dual economic structure. This paper empirically examined the impact of agricultural labor migration on the urban–rural dual economic structure by using the spatial Durbin model and the geographically and temporally weighted regression model on the basis of the panel data of 14 regions in Liaoning Province from 2005 to 2020. The results show that agricultural labor migration has an obvious optimization effect and spatial spillover effect on the urban–rural dual economic structure; in terms of space, agricultural labor migration has a stronger impact on the central and western regions and a weaker impact on the southeastern regions; in terms of time, agricultural labor migration can stably promote the integration of urban and rural economies before the second Lewis turning point. Therefore, this paper provides references with regard to increasing investment in rural education and training; improving the structure of government spending; and protecting the rights and interests of rural migrants.

show abstract

Spatiotemporal Differentiation of the School-Age Migrant Population in Liaoning Province, China, and Its Driving Factors

Cited by 3 publications

References 46 publications

Spatiotemporal heterogeneity of primary and secondary school student distribution in Liaoning Province, China from 2010 to 2020

Spatiotemporal heterogeneity of primary and secondary school student distribution in Liaoning Province, China from 2010 to 2020

Impact of the COVID-19 Epidemic on Population Mobility Networks in the Beijing–Tianjin–Hebei Urban Agglomeration from a Resilience Perspective

The Impact of Agricultural Labor Migration on the Urban–Rural Dual Economic Structure: The Case of Liaoning Province, China

Contact Info

Product

Resources

About