IDEAS home Printed from https://ideas.repec.org/a/spr/ariqol/v19y2024i5d10.1007_s11482-024-10352-7.html
   My bibliography  Save this article

School Matters to Whom? The Impact of Educational Resources on Cognitive Inequality

Author

Listed:
  • Yifei Lu

    (Research Institute of Social Development, Southwestern University of Finance and Economics)

  • Wenli Li

    (Research Institute of Social Development, Southwestern University of Finance and Economics)

  • Zheng Zhou

    (Research Institute of Social Development, Southwestern University of Finance and Economics)

Abstract

The disparities between rural and urban students have been widely recognized in China in recent years. However, the role that school plays in reproducing this gap is not well understood. This study aims to fill this gap by analysing the impact of educational resources on the cognitive development of students with rural and urban hukou. Utilizing two waves of survey data from middle school students in the Chinese Education Panel Survey (CEPS) and employing a lagged dependent variable model, our results indicate that the cognitive development gap between rural and urban hukou students is primarily influenced by the unequal distribution of educational resources, especially disadvantaging rural hukou students. The findings suggest that public policies targeting the reduction of this educational gap should focus more on enhancing educational resources for rural students to foster their cognitive development.

Suggested Citation

  • Yifei Lu & Wenli Li & Zheng Zhou, 2024. "School Matters to Whom? The Impact of Educational Resources on Cognitive Inequality," Applied Research in Quality of Life, Springer;International Society for Quality-of-Life Studies, vol. 19(5), pages 2705-2725, October.
    • Handle: RePEc:spr:ariqol:v:19:y:2024:i:5:d:10.1007_s11482-024-10352-7
    DOI: 10.1007/s11482-024-10352-7
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11482-024-10352-7
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s11482-024-10352-7?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Steven G. Rivkin & Eric A. Hanushek & John F. Kain, 2005. "Teachers, Schools, and Academic Achievement," Econometrica, Econometric Society, vol. 73(2), pages 417-458, March.
    2. David Card & Alan B. Krueger, 1992. "School Quality and Black-White Relative Earnings: A Direct Assessment," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 107(1), pages 151-200.
    3. Zheng Zhou & Ying Ma & Wenbin Du & Kaiji Zhou & Shaojie Qi, 2022. "Housing Conditions and Adolescents’ Socioemotional Well-being: An Empirical Examination from China," Applied Research in Quality of Life, Springer;International Society for Quality-of-Life Studies, vol. 17(5), pages 2721-2741, October.
    4. Jeffrey M Wooldridge, 2010. "Econometric Analysis of Cross Section and Panel Data," MIT Press Books, The MIT Press, edition 2, volume 1, number 0262232588, December.
    5. Ming Wen & Weidong Wang & Neng Wan & Dejun Su, 2020. "Family Income and Student Educational and Cognitive Outcomes in China: Exploring the Material and Psychosocial Mechanisms," Social Sciences, MDPI, vol. 9(12), pages 1-23, December.
    6. Dandan Zhang & Xin Li & Jinjun Xue, 2015. "Education Inequality between Rural and Urban Areas of the People's Republic of China, Migrants’ Children Education, and Some Implications," Asian Development Review, MIT Press, vol. 32(1), pages 196-224, March.
    7. Eric A. Hanushek & Steven G. Rivkin, 2009. "Harming the best: How schools affect the black-white achievement gap," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 28(3), pages 366-393.
    8. Wang, Haining & Cheng, Zhiming & Smyth, Russell, 2018. "Do migrant students affect local students’ academic achievements in urban China?," Economics of Education Review, Elsevier, vol. 63(C), pages 64-77.
    9. Kenneth I. Wolpin & Petra E. Todd, 2006. "Assessing the Impact of a School Subsidy Program in Mexico: Using a Social Experiment to Validate a Dynamic Behavioral Model of Child Schooling and Fertility," American Economic Review, American Economic Association, vol. 96(5), pages 1384-1417, December.
    10. Petra E. Todd & Kenneth I. Wolpin, 2003. "On The Specification and Estimation of The Production Function for Cognitive Achievement," Economic Journal, Royal Economic Society, vol. 113(485), pages 3-33, February.
    11. Connelly, Rachel & Zheng, Zhenzhen, 2003. "Determinants of school enrollment and completion of 10 to 18 year olds in China," Economics of Education Review, Elsevier, vol. 22(4), pages 379-388, August.
    12. Zheng, Lei & Qi, Xiang & Zhang, Chongjiu, 2023. "Can improvements in teacher quality reduce the cognitive gap between urban and rural students in China?," International Journal of Educational Development, Elsevier, vol. 100(C).
    13. Zhao, Guochang & Ye, Jingjing & Li, Zhengyang & Xue, Sen, 2017. "How and why do Chinese urban students outperform their rural counterparts?," China Economic Review, Elsevier, vol. 45(C), pages 103-123.
    14. Eric A. Hanushek & Steven G. Rivkin, 2012. "The Distribution of Teacher Quality and Implications for Policy," Annual Review of Economics, Annual Reviews, vol. 4(1), pages 131-157, July.
    Full references (including those not matched with items on IDEAS)

    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. Zheng, Lei & Qi, Xiang & Zhang, Chongjiu, 2023. "Can improvements in teacher quality reduce the cognitive gap between urban and rural students in China?," International Journal of Educational Development, Elsevier, vol. 100(C).
    2. Stacy, Brian, 2014. "Ranking Teachers when Teacher Value-Added is Heterogeneous Across Students," EconStor Preprints 104743, ZBW - Leibniz Information Centre for Economics.
    3. Xu, Bin & Ma, Qingxuan & Yu, Qianbin, 2024. "Does the proportion of rural students affect the performance of urban students? ––Evidence from urban schools in China," International Journal of Educational Development, Elsevier, vol. 105(C).
    4. Richard Murphy & Felix Weinhardt, 2020. "Top of the Class: The Importance of Ordinal Rank," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 87(6), pages 2777-2826.
    5. M. Caridad Araujo & Pedro Carneiro & Yyannú Cruz-Aguayo & Norbert Schady, 2016. "Teacher Quality and Learning Outcomes in Kindergarten," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 131(3), pages 1415-1453.
    6. Brutti, Zelda & Sánchez Torres, Fabio, 2022. "Turning around teacher quality in Latin America: Renewed confidence and lessons from Colombia," Economic Analysis and Policy, Elsevier, vol. 73(C), pages 62-93.
    7. Azam, Mehtabul & Kingdon, Geeta Gandhi, 2015. "Assessing teacher quality in India," Journal of Development Economics, Elsevier, vol. 117(C), pages 74-83.
    8. Eric A. Hanushek & John F. Kain & Steven G. Rivkin, 2009. "New Evidence about Brown v. Board of Education: The Complex Effects of School Racial Composition on Achievement," Journal of Labor Economics, University of Chicago Press, vol. 27(3), pages 349-383, July.
    9. Seth Gershenson & Alison Jacknowitz & Andrew Brannegan, 2017. "Are Student Absences Worth the Worry in U.S. Primary Schools?," Education Finance and Policy, MIT Press, vol. 12(2), pages 137-165, Spring.
    10. Johnston, Andrew C., 2021. "Preferences, Selection, and the Structure of Teacher Pay," IZA Discussion Papers 14831, Institute of Labor Economics (IZA).
    11. Motegi, Hiroyuki & Oikawa, Masato, 2019. "The effect of instructional quality on student achievement: Evidence from Japan," Japan and the World Economy, Elsevier, vol. 52(C).
    12. Marine de Talancé, 2015. "Better Teachers, Better Results? Evidence from Rural Pakistan," Working Papers DT/2015/21, DIAL (Développement, Institutions et Mondialisation).
    13. José M. Cordero & Víctor Cristóbal & Daniel Santín, 2018. "Causal Inference On Education Policies: A Survey Of Empirical Studies Using Pisa, Timss And Pirls," Journal of Economic Surveys, Wiley Blackwell, vol. 32(3), pages 878-915, July.
    14. Behrman, Jere R., 2010. "Investment in Education Inputs and Incentives," Handbook of Development Economics, in: Dani Rodrik & Mark Rosenzweig (ed.), Handbook of Development Economics, edition 1, volume 5, chapter 0, pages 4883-4975, Elsevier.
    15. McMullen, Steven C. & Rouse, Kathryn E., 2012. "School crowding, year-round schooling, and mobile classroom use: Evidence from North Carolina," Economics of Education Review, Elsevier, vol. 31(5), pages 812-823.
    16. Zelda Brutti & Fabio Sánchez, 2017. "Does Better Teacher Selection Lead to Better Students? Evidence from a Large Scale Reform in Colombia," Documentos CEDE 15350, Universidad de los Andes, Facultad de Economía, CEDE.
    17. Paul Anand & Jere R. Behrman & Hai-Anh H. Dang & Sam Jones, 2018. "Inequality of opportunity in education: Accounting for the contributions of Sibs, schools and sorting across East Africa," Working Papers 480, ECINEQ, Society for the Study of Economic Inequality.
    18. Papay, John P. & Kraft, Matthew A., 2015. "Productivity returns to experience in the teacher labor market: Methodological challenges and new evidence on long-term career improvement," Journal of Public Economics, Elsevier, vol. 130(C), pages 105-119.
    19. Goel, Deepti & Barooah, Bidisha, 2018. "Drivers of Student Performance: Evidence from Higher Secondary Public Schools in Delhi," GLO Discussion Paper Series 231, Global Labor Organization (GLO).
    20. Singh, Renu & Sarkar, Sudipa, 2015. "Does teaching quality matter? Students learning outcome related to teaching quality in public and private primary schools in India," International Journal of Educational Development, Elsevier, vol. 41(C), pages 153-163.

    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:spr:ariqol:v:19:y:2024:i:5:d:10.1007_s11482-024-10352-7. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.