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

Author

Listed:
  • Wenwen Xu

    (School of Education, Liaoning Normal University, Dalian 116029, China
    Department of Security, Liaoning Police College, Dalian 116036, China)

  • Chunrui Song

    (Human Settlements Research Center, Liaoning Normal University, Dalian 116029, China)

  • Dongqi Sun

    (Key Laboratory of Regional Sustainable Development Modeling, Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China)

  • Baochu Yu

    (School of Ocean and Civil Engineering, Dalian Ocean University, Dalian 116029, China)

Abstract
This study analyzed the spatiotemporal distribution and driving factors of the floating school-age population in Liaoning Province, China from 2008 to 2020 using county-level statistical education data combined with spatial autocorrelation and the multiscale geographically weighted regression model. The major findings are as follows. From 2008 to 2020, the distribution of the school-age migrant population exhibited obvious spatial imbalance characteristics both in terms of the number and proportion of school-age migrants. Specifically, the school-age migrant population was concentrated in the municipal districts of large and medium-sized cities and continued to increase over time in the suburbs of large and medium-sized cities. Over the past 12 years, the distribution of the school-age migrant population in Liaoning Province exhibited significant spatial autocorrelation. From the number of school-age migrants, the cold and hot spot area expanded. Conversely, from the proportion of school-age migrants, the cold and hot spot area decreased gradually, whereas the cold spot area became more diffuse. Regarding the driving factors, the quantity and quality of teaching staff, the quality of teaching equipment and conditions, and the quality of the education environment played a role in promoting or restraining the differentiation of the school-age migrant population in Liaoning Province. Moreover, the degree of influence of the driving factors exhibited substantial spatial differences.

Suggested Citation

  • Wenwen Xu & Chunrui Song & Dongqi Sun & Baochu Yu, 2021. "Spatiotemporal Differentiation of the School-Age Migrant Population in Liaoning Province, China, and Its Driving Factors," Land, MDPI, vol. 10(10), pages 1-13, October.
  • Handle: RePEc:gam:jlands:v:10:y:2021:i:10:p:1036-:d:649108
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    References listed on IDEAS

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    1. L. B. Karachurina & N. V. Mkrtchyan, 2021. "Intraregional Population Migration in Russia: Suburbs Outperform Capitals," Regional Research of Russia, Springer, vol. 11(1), pages 48-60, January.
    2. Bosker, Maarten & Brakman, Steven & Garretsen, Harry & Schramm, Marc, 2012. "Relaxing Hukou: Increased labor mobility and China’s economic geography," Journal of Urban Economics, Elsevier, vol. 72(2), pages 252-266.
    3. Shukui Tan & Yanan Li & Yan Song & Xiang Luo & Min Zhou & Lu Zhang & Bing Kuang, 2017. "Influence factors on settlement intention for floating population in urban area: a China study," Quality & Quantity: International Journal of Methodology, Springer, vol. 51(1), pages 147-176, January.
    4. Fu, Yuming & Gabriel, Stuart A., 2012. "Labor migration, human capital agglomeration and regional development in China," Regional Science and Urban Economics, Elsevier, vol. 42(3), pages 473-484.
    5. Yuan Gao & Qingsong He & Yaolin Liu & Lingyu Zhang & Haofeng Wang & Enxiang Cai, 2016. "Imbalance in Spatial Accessibility to Primary and Secondary Schools in China: Guidance for Education Sustainability," Sustainability, MDPI, vol. 8(12), pages 1-16, November.
    6. Sidsel Boldermo & Elin Eriksen Ødegaard, 2019. "What about the Migrant Children? The State-Of-The-Art in Research Claiming Social Sustainability," Sustainability, MDPI, vol. 11(2), pages 1-13, January.
    7. Andersson, Eva & Malmberg, Bo & Östh, John, 2012. "Travel-to-school distances in Sweden 2000–2006: changing school geography with equality implications," Journal of Transport Geography, Elsevier, vol. 23(C), pages 35-43.
    8. Dahao Zhang & Chunshan Zhou & Wenwen Xu, 2020. "Spatial-Temporal Characteristics of Primary and Secondary Educational Resources for Relocated Children of Migrant Workers: The Case of Liaoning Province," Complexity, Hindawi, vol. 2020, pages 1-13, July.
    9. A. Stewart Fotheringham & Wenbai Yang & Wei Kang, 2017. "Multiscale Geographically Weighted Regression (MGWR)," Annals of the American Association of Geographers, Taylor & Francis Journals, vol. 107(6), pages 1247-1265, November.
    10. Chi, Guangqing & Ho, Hung Chak, 2018. "Population stress: A spatiotemporal analysis of population change and land development at the county level in the contiguous United States, 2001–2011," Land Use Policy, Elsevier, vol. 70(C), pages 128-137.
    11. C. Cindy Fan & Tianjiao Li, 2020. "Split Households, Family Migration and Urban Settlement: Findings from China’s 2015 National Floating Population Survey," Social Inclusion, Cogitatio Press, vol. 8(1), pages 252-263.
    12. Arthur Getis & J. Keith Ord, 2010. "The Analysis of Spatial Association by Use of Distance Statistics," Advances in Spatial Science, in: Luc Anselin & Sergio J. Rey (ed.), Perspectives on Spatial Data Analysis, chapter 0, pages 127-145, Springer.
    13. Chi Zhang, 2017. "Population in China," Europe-Asia Studies, Taylor & Francis Journals, vol. 69(8), pages 1333-1334, September.
    14. Yuqu Wang & Zehong Wang & Chunshan Zhou & Ying Liu & Song Liu, 2020. "On the Settlement of the Floating Population in the Pearl River Delta: Understanding the Factors of Permanent Settlement Intention versus Housing Purchase Actions," Sustainability, MDPI, vol. 12(22), pages 1-20, November.
    15. Jia Xu & Makoto Takahashi, 2021. "Progressing vulnerability of the immigrants in an urbanizing village in coastal China," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(5), pages 8012-8026, May.
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    Cited by:

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