IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v8y2016i12p1236-d83875.html
   My bibliography  Save this article

Imbalance in Spatial Accessibility to Primary and Secondary Schools in China: Guidance for Education Sustainability

Author

Listed:
  • Yuan Gao

    (School of Resource and Environmental Science, Wuhan University, 129Luoyu Road, Wuhan 430079, China)

  • Qingsong He

    (School of Resource and Environmental Science, Wuhan University, 129Luoyu Road, Wuhan 430079, China)

  • Yaolin Liu

    (School of Resource and Environmental Science, Wuhan University, 129Luoyu Road, Wuhan 430079, China
    Key Laboratory of Geographic Information System, Ministry of Education, Wuhan University, 129Luoyu Road, Wuhan 430079, China
    Collaborative Innovation Center for Geospatial Information Technology, Wuhan 430079, China)

  • Lingyu Zhang

    (School of Resource and Environmental Science, Wuhan University, 129Luoyu Road, Wuhan 430079, China)

  • Haofeng Wang

    (School of Resource and Environmental Science, Wuhan University, 129Luoyu Road, Wuhan 430079, China)

  • Enxiang Cai

    (School of Resource and Environmental Science, Wuhan University, 129Luoyu Road, Wuhan 430079, China)

Abstract

Compulsory education is an important aspect of the societal development. Meanwhile, education equality safeguards the effectiveness of education systems and is an important part of social equality. This study analyzes the inequality of compulsory education from the perspective of imbalanced spatial distribution. Unlike previous studies that have measured the spatial distribution of education simply based on the spatial position of primary and secondary schools, we explore spatial accessibility based on the shortest travel distance from residents to schools, and then analyze the inequality of compulsory education through the distribution of spatial accessibility. We use 2873 Chinese counties as statistical units, and perform a statistical and graphical analysis of their spatial accessibility using the Theil index and spatial autocorrelation analyses. To analyze the differences in the spatial accessibility distribution on the national and regional levels, we use three partitioned modes: the terrain partitioned mode, the economic development partitioned mode, and the province-level partitioned mode. We then analyze the spatial agglomeration characteristics and distribution patterns of compulsory education accessibility through global autocorrelation, local autocorrelation, and hot-spot and cold-spot analysis. The results demonstrate an obvious imbalance in the distribution of spatial accessibility to compulsory education at the national level. Accessibility and equality in eastern and central regions are significantly better than those in the western region; both are significantly better in coastal regions than in inland regions; and equality alone is better in the municipalities, such as Shanghai, Tianjin, and Chongqing, than in other provinces and autonomous regions. The spatial pattern analysis shows significant global autocorrelation and obvious clusters. Counties in cold-spot areas (clusters of good spatial accessibility) are large in number but small in size. Cold-spot areas present a ring-shaped structure in space with Henan Province as the core. Counties in hot-spot areas (clusters of weak spatial accessibility) are not as numerous, but most are large in size; hot-spot areas are mainly in the northwest regions, characterized by complex terrain and severe economic difficulty. This study can provide significant information to aid policy making related to compulsory education sustainability in China and can facilitate research on the equality and sustainable development of compulsory education.

Suggested Citation

  • 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.
  • Handle: RePEc:gam:jsusta:v:8:y:2016:i:12:p:1236-:d:83875
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/8/12/1236/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/8/12/1236/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Philip Oreopoulos, 2006. "The compelling effects of compulsory schooling: evidence from Canada," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 39(1), pages 22-52, February.
    2. Hanushek, Eric A. & Woessmann, Ludger, 2007. "The role of education quality for economic growth," Policy Research Working Paper Series 4122, The World Bank.
    3. Giorgio Brunello & Margherita Fort & Guglielmo Weber, 2009. "Changes in Compulsory Schooling, Education and the Distribution of Wages in Europe," Economic Journal, Royal Economic Society, vol. 119(536), pages 516-539, March.
    4. Elena Meschi & Francesco Scervini, 2014. "A new dataset on educational inequality," Empirical Economics, Springer, vol. 47(2), pages 695-716, September.
    5. Zhang, Linxiu & Huang, Jikun & Rozelle, Scott, 2002. "Employment, emerging labor markets, and the role of education in rural China," China Economic Review, Elsevier, vol. 13(2-3), pages 313-328.
    6. Wallace E. Huffman, 1974. "Decision Making: The Role of Education," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 56(1), pages 85-97.
    7. Tao Yang, Dennis, 2004. "Education and allocative efficiency: household income growth during rural reforms in China," Journal of Development Economics, Elsevier, vol. 74(1), pages 137-162, June.
    8. anonymous, 2006. "Cash counts," Annual Report, Federal Reserve Bank of San Francisco, pages 6-17.
    9. Ludger Vessman & Jerik Hanushek, 2007. "The role of education quality in economic growth (Part I)," Voprosy obrazovaniya / Educational Studies Moscow, National Research University Higher School of Economics, issue 2, pages 86-116.
    10. Hannum, Emily & Wang, Meiyan, 2006. "Geography and educational inequality in China," China Economic Review, Elsevier, vol. 17(3), pages 253-265.
    11. Albouy, Valerie & Lequien, Laurent, 2009. "Does compulsory education lower mortality?," Journal of Health Economics, Elsevier, vol. 28(1), pages 155-168, January.
    12. Takahiro Akita, 2003. "Decomposing regional income inequality in China and Indonesia using two-stage nested Theil decomposition method," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 37(1), pages 55-77, February.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Jun Yang & Andong Guo & Xueming Li & Tai Huang, 2018. "Study of the Impact of a High-Speed Railway Opening on China’s Accessibility Pattern and Spatial Equality," Sustainability, MDPI, vol. 10(8), pages 1-13, August.
    2. Giuseppe Bruno & Manuel Cavola & Antonio Diglio & Carmela Piccolo, 2022. "Geographical accessibility to upper secondary education: an Italian regional case study," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 69(2), pages 511-536, October.
    3. Nan Lu & Jiwei Zhu & Hui Chi & Bing Wang & Lu Chen, 2021. "Progress Assessment and Spatial Heterogeneity Analysis of Water Conservancy Modernization Construction in China," Sustainability, MDPI, vol. 13(7), pages 1-19, March.
    4. 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.
    5. R. S. Nikolaev & D. O. Egorov, 2022. "Modeling Optimization for School Network in Conditions of Rural Depopulation (the Case of the Yelabuga District in the Republic of Tatarstan)," Regional Research of Russia, Springer, vol. 12(3), pages 395-413, September.
    6. Aftab Ahmed Memon & Zhimin Liu, 2019. "Assessment of Sustainable Development of the Performance of Higher Education Credentials in the Transitive Labor Market," Sustainability, MDPI, vol. 11(9), pages 1-14, May.
    7. Jinxia Zhu & Qian Xu & Yi Pan & Lefeng Qiu & Yi Peng & Haijun Bao, 2018. "Land-Acquisition and Resettlement (LAR) Conflicts: A Perspective of Spatial Injustice of Urban Public Resources Allocation," Sustainability, MDPI, vol. 10(3), pages 1-15, March.
    8. Jing Fan & Ye Li & Yu Zhang & Xiao Luo & Changxi Ma, 2019. "Connectivity and Accessibility of the Railway Network in China: Guidance for Spatial Balanced Development," Sustainability, MDPI, vol. 11(24), pages 1-18, December.
    9. Zhao, Zhenyue & Bu, Yi & Kang, Lele & Min, Chao & Bian, Yiyang & Tang, Li & Li, Jiang, 2020. "An investigation of the relationship between scientists’ mobility to/from China and their research performance," Journal of Informetrics, Elsevier, vol. 14(2).
    10. Jian Li & Eryong Xue, 2022. "Unpacking the Policies, Historical Stages, and Themes of the Education Equality for Educational Sustainable Development: Evidence from China," Sustainability, MDPI, vol. 14(17), pages 1-15, August.
    11. Ogryzek, Marek & Podawca, Konrad & Cienciała, Agnieszka, 2022. "Geospatial tools in the analyses of land use in the perspective of the accessibility of selected educational services in Poland," Land Use Policy, Elsevier, vol. 122(C).
    12. Jiali Wan & Yanfang Liu & Yiyun Chen & Jiameng Hu & Zhengyu Wang, 2018. "A Tale of North and South: Balanced and Sustainable Development of Primary Education in Ningxia, China," Sustainability, MDPI, vol. 10(2), pages 1-16, February.
    13. Xingchuan Gao & Tao Li & Xiaoshu Cao, 2019. "Spatial Fairness and Changes in Transport Infrastructure in the Qinghai-Tibet Plateau Area from 1976 to 2016," Sustainability, MDPI, vol. 11(3), pages 1-16, January.
    14. Chun Li & Xingwu Duan, 2020. "Exploration of Urban Interaction Features Based on the Cyber Information Flow of Migrant Concern: A Case Study of China’s Main Urban Agglomerations," IJERPH, MDPI, vol. 17(12), pages 1-20, June.
    15. Peng, Huamin & Qi, Lin & Wan, Guowei & Li, Bingqin & Hu, Bo, 2020. "Child population, economic development and regional inequality of education resources in China," Children and Youth Services Review, Elsevier, vol. 110(C).
    16. Xuedong Li & Yunhui Liu & Yajuan Chen & Pengyao Li & Zhenrong Yu, 2019. "Village Regrouping in the Eastern Plains of China: A Perspective on Home-Field Distance," Sustainability, MDPI, vol. 11(6), pages 1-17, March.
    17. Mostafa Ghodousi & Abolghasem Sadeghi-Niaraki & Farzaneh Rabiee & Soo-Mi Choi, 2020. "Spatial-Temporal Analysis of Point Distribution Pattern of Schools Using Spatial Autocorrelation Indices in Bojnourd City," Sustainability, MDPI, vol. 12(18), pages 1-26, September.
    18. An Huang & Yueqing Xu & Yibin Zhang & Longhui Lu & Chao Liu & Piling Sun & Qingguo Liu, 2022. "A Spatial Equilibrium Evaluation of Primary Education Services Based on Living Circle Models: A Case Study within the City of Zhangjiakou, Hebei Province, China," Land, MDPI, vol. 11(11), pages 1-17, November.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Meyer, Andrew, 2015. "Does education increase pro-environmental behavior? Evidence from Europe," Ecological Economics, Elsevier, vol. 116(C), pages 108-121.
    2. Jiali Wan & Yanfang Liu & Yiyun Chen & Jiameng Hu & Zhengyu Wang, 2018. "A Tale of North and South: Balanced and Sustainable Development of Primary Education in Ningxia, China," Sustainability, MDPI, vol. 10(2), pages 1-16, February.
    3. Meyer, Andrew G., 2017. "The impact of education on political ideology: Evidence from European compulsory education reforms," Economics of Education Review, Elsevier, vol. 56(C), pages 9-23.
    4. Lijia Guo & Jiashun Huang & You Zhang, 2019. "Education Development in China: Education Return, Quality, and Equity," Sustainability, MDPI, vol. 11(13), pages 1-20, July.
    5. Wang, Xiaobing & Herzfeld, Thomas & Glauben, Thomas, 2007. "Labor allocation in transition: Evidence from Chinese rural households," China Economic Review, Elsevier, vol. 18(3), pages 287-308.
    6. Albarrán, Pedro & Hidalgo-Hidalgo, Marisa & Iturbe-Ormaetxe, Iñigo, 2020. "Education and adult health: Is there a causal effect?," Social Science & Medicine, Elsevier, vol. 249(C).
    7. Xuan Chen & Jing Chen & Chien-Yu Huang, 2019. "Too Risky to Focus on Agriculture? An Empirical Study of China’s Agricultural Households’ Off-Farm Employment Decisions," Sustainability, MDPI, vol. 11(3), pages 1-18, January.
    8. Pedro Albarran Pérez & Marisa Hidalgo Hidalgo & Iñigo Iturbe-Ormaetxe Kortajarene, 2017. "Schooling and adult health: Can education overcome bad early-life conditions?," Working Papers. Serie AD 2017-09, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).
    9. Assaad, Ragui & Hendy, Rana & Salehi-Isfahani, Djavad, 2019. "Inequality of opportunity in educational attainment in the Middle East and North Africa: Evidence from household surveys," International Journal of Educational Development, Elsevier, vol. 66(C), pages 24-43.
    10. Nadir ALTINOK, 2015. "Une éducation pour tous de qualité: une analyse statistique sur les pays d'Afrique sub-saharienne," Economies et Sociétés (Serie 'Histoire Economique Quantitative'), Association Française de Cliométrie (AFC), issue 50, pages 919-950, Juin.
    11. Ralph Hippe & Luisa De Sousa Lobo Borges de Araujo & Patricia Dinis Mota da Costa, 2016. "Equity in Education in Europe," JRC Research Reports JRC104595, Joint Research Centre.
    12. UNESCO Publishing, 2015. "The Economic Cost of Out-of-School Children in Southeast Asia," Working Papers id:7651, eSocialSciences.
    13. Peng, Huamin & Qi, Lin & Wan, Guowei & Li, Bingqin & Hu, Bo, 2020. "Child population, economic development and regional inequality of education resources in China," Children and Youth Services Review, Elsevier, vol. 110(C).
    14. Abdel-Rahman, Alaa & Fuller, David, 2014. "Education and employment in Egypt: the policies, discrepancies and possible solutions," MPRA Paper 67571, University Library of Munich, Germany.
    15. Vegas, E & Ganimian, A. J., 2013. "Theory and Evidence on Teacher Policies in Developed and Developing Countries," Working Paper 104291, Harvard University OpenScholar.
    16. Luiz Mário Martins Brotherhood & Pedro Cavalcanti Ferreira & Cezar Santos, 2018. "Returns To Schooling And Quality Of Education In Brazil: Evidence From Migrants Data," Anais do XLIV Encontro Nacional de Economia [Proceedings of the 44th Brazilian Economics Meeting] 234, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].
    17. Crespo, Laura & López-Noval, Borja & Mira, Pedro, 2014. "Compulsory schooling, education, depression and memory: New evidence from SHARELIFE," Economics of Education Review, Elsevier, vol. 43(C), pages 36-46.
    18. Cabus, Sofie J. & De Witte, Kristof, 2011. "Does school time matter?—On the impact of compulsory education age on school dropout," Economics of Education Review, Elsevier, vol. 30(6), pages 1384-1398.
    19. Senate Economic Planning Office SEPO, 2012. "K to 12: The Key to Quality Education?," Working Papers id:4726, eSocialSciences.
    20. Fadi Fawaz & Anis Mnif & Ani Popiashvili, 2021. "Impact of governance on economic growth in developing countries: a case of HIDC vs. LIDC," Journal of Social and Economic Development, Springer;Institute for Social and Economic Change, vol. 23(1), pages 44-58, June.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:8:y:2016:i:12:p:1236-:d:83875. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.